TAO OceanSITES flux data Absolute Wind Speed and LWR climatology

Summary:
This file contains hourly delayed-mode and realtime data from one of the Tropical Atmosphere/Ocean (TAO)/TRITON, Pilot Research Moored Array in the Tropical Atlantic (PIRATA), or Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (RAMA) mooring sites in the tropical oceans. Included in this file are air-sea fluxes computed using absolute wind speeds and a climatology of longwave radiation. For detailed information see www.pmel.noaa.gov/tao/drupal/flux/documentation-lw.html

cdm_data_type = TimeSeries
VARIABLES:
site_code
wmo_platform_code
time (seconds since 1970-01-01T00:00:00Z)
latitude (Latitude of each location, degrees_north)
longitude (Longitude of each location, degrees_east)
HEIGHT (Height of each measurement, meters)
HEIGHTZS (Height of each measurement, meters)
QLAT (Latent Heat Flux, W m-2)
QSEN (Sensible Heat Flux, W m-2)
QRAIN (Sensible Heat Flux Due To Rain, W m-2)
SWNET (Net Shortwave Radiation, W m-2)
WZS (Wind Speed Adjusted To 10 Meters, m s-1)
TAU (Wind Stress Magnitude, N m-2)
TAUX (Zonal Wind Stress, N m-2)
TAUY (Meridional Wind Stress, N m-2)
TDIR (Wind Stress Direction, degrees)
RAIN (precipitation, MM' 'Hr-1)
EVAP (evaporation, MM' 'Hr-1)
EMP (Evaporation Minus Precipitation, MM' 'Hr-1)
FLUX_QC (quality flag)
FLUX_DM (method of data processing)


TAO OceanSITES flux data Relative Wind Speed and LWR climatology

Summary:
This file contains hourly delayed-mode and realtime data from one of the Tropical Atmosphere/Ocean (TAO)/TRITON, Pilot Research Moored Array in the Tropical Atlantic (PIRATA), or Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (RAMA) mooring sites in the tropical oceans. Included in this file are air-sea fluxes computed using relative wind speeds and a climatology of longwave radiation. For detailed information see www.pmel.noaa.gov/tao/drupal/flux/documentation-lw.html

cdm_data_type = TimeSeries
VARIABLES:
site_code
wmo_platform_code
time (seconds since 1970-01-01T00:00:00Z)
latitude (Latitude of each location, degrees_north)
longitude (Longitude of each location, degrees_east)
HEIGHT (Height of each measurement, meters)
HEIGHTZS (Height of each measurement, meters)
QLAT (Latent Heat Flux, W m-2)
QSEN (Sensible Heat Flux, W m-2)
QRAIN (Sensible Heat Flux Due To Rain, W m-2)
SWNET (Net Shortwave Radiation, W m-2)
WZS (Wind Speed Adjusted To 10 Meters, m s-1)
TAU (Wind Stress Magnitude, N m-2)
TAUX (Zonal Wind Stress, N m-2)
TAUY (Meridional Wind Stress, N m-2)
TDIR (Wind Stress Direction, degrees)
RAIN (precipitation, MM' 'Hr-1)
EVAP (evaporation, MM' 'Hr-1)
EMP (Evaporation Minus Precipitation, MM' 'Hr-1)
FLUX_QC (quality flag)
FLUX_DM (method of data processing)
WAVE_DOMINANT_PERIOD
WAVE_SIGNIFICANT_HEIGHT


TAO OceanSITES flux data with LWR and Absolute Wind Speed

Summary:
This file contains hourly delayed-mode and realtime data from one of the Tropical Atmosphere/Ocean (TAO)/TRITON, Pilot Research Moored Array in the Tropical Atlantic (PIRATA), or Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (RAMA) mooring sites in the tropical oceans. Included in this file are air-sea fluxes computed using absolute wind speeds and longwave radiation data. For detailed information see www.pmel.noaa.gov/tao/drupal/flux/documentation-lw.html

cdm_data_type = TimeSeries
VARIABLES:
site_code
wmo_platform_code
time (seconds since 1970-01-01T00:00:00Z)
latitude (Latitude of each location, degrees_north)
longitude (Longitude of each location, degrees_east)
HEIGHT (Height of each measurement, meters)
HEIGHTZS (Height of each measurement, meters)
QLAT (Latent Heat Flux, W m-2)
QSEN (Sensible Heat Flux, W m-2)
QRAIN (Sensible Heat Flux Due To Rain, W m-2)
QNET (Net Heat Flux, W m-2)
LWNET (Net Longwave Radiation, W m-2)
SWNET (Net Shortwave Radiation, W m-2)
WZS (Wind Speed Adjusted To 10 Meters, m s-1)
TAU (Wind Stress Magnitude, N m-2)
TAUX (Zonal Wind Stress, N m-2)
TAUY (Meridional Wind Stress, N m-2)
TDIR (Wind Stress Direction, degrees)
RAIN (precipitation, MM' 'Hr-1)
EVAP (evaporation, MM' 'Hr-1)
EMP (Evaporation Minus Precipitation, MM' 'Hr-1)
FLUX_QC (quality flag)
FLUX_DM (method of data processing)


TAO OceanSITES flux data with LWR and Relative Wind Speed


NOAA NOS Arctic Single Beam 2020 NRT Saildrone 1037

Summary:
The Arctic OCS Single Beam Mapping mission is a Public-Private Partnership between Saildrone and the following research institutions: Terrasond NOAA and Pacific Marine Environmental Laboratory (PMEL). The primary goals for this mission is to map the 20m and 50m isobaths along the North Slope of Alaska, surveying from north of Point Hope extending northeast to the border between the US and Canada.

cdm_data_type = Trajectory
VARIABLES:
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
UWND_MEAN (Eastward wind speed, m s-1)
UWND_STDDEV (Eastward wind speed SD, m s-1)
VWND_MEAN (Northward wind speed, m s-1)
VWND_STDDEV (Northward wind speed SD, m s-1)
WWND_MEAN (Downward wind speed, m s-1)
WWND_STDDEV (Downward wind speed SD, m s-1)
WIND_SPEED_MEAN (Wind speed, m s-1)
WIND_SPEED_STDDEV (Wind speed SD, m s-1)
WIND_FROM_MEAN (Wind from, degree)
WIND_FROM_STDDEV (Wind from SD, degree)
GUST_WND_MEAN (Wind gust speed, m s-1)
GUST_WND_STDDEV (Wind gust speed SD, m s-1)
WIND_MEASUREMENT_HEIGHT_MEAN (Wind measurement height, m)
WIND_MEASUREMENT_HEIGHT_STDDEV (Wind measurement height SD, m)
TEMP_AIR_MEAN (Air temperature, degree_C)
TEMP_AIR_STDDEV (Air temperature SD, degree_C)
RH_MEAN (Relative humidity, percent)
RH_STDDEV (Relative humidity SD, percent)
BARO_PRES_MEAN (Air pressure, hPa)
BARO_PRES_STDDEV (Air pressure SD, hPa)
... (10 more variables)


NOAA NOS Arctic Single Beam 2020 NRT Saildrone 1055


NOAA NOS Arctic Single Beam 2020 NRT Saildrone 1068


NOAA NOS Arctic Single Beam 2020 NRT Saildrone 1069


TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1977-present, Wind

Summary:
This dataset has daily Wind data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
WU_422 (Zonal Wind, m s-1)
WV_423 (Meridional Wind, m s-1)
WS_401 (Wind Speed, m s-1)
QWS_5401 (Wind Speed Quality)
SWS_6401 (Wind Speed Source)
WD_410 (Wind Direction, degrees_true)
QWD_5410 (Wind Direction Quality)
SWD_6410 (Wind Direction Source)


NOAA AFSC Bering Fisheries Pollock Survey 2020 NRT Saildrone 1043

Summary:
The Bering Alaska Fisheries Science Center (AFSC) Pollock Survey mission is a Public-Private Partnership between Saildrone and the following research institutions: NOAA and Pacific Marine Environmental Laboratory (PMEL). The primary goals for this mission is to mitigate the potential loss of survey information ordinarily collected with ships by providing an acoustic estimate of pollock abundance for use in fisheries management.

cdm_data_type = Trajectory
VARIABLES:
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
UWND_MEAN (Eastward wind speed, m s-1)
UWND_STDDEV (Eastward wind speed SD, m s-1)
VWND_MEAN (Northward wind speed, m s-1)
VWND_STDDEV (Northward wind speed SD, m s-1)
WWND_MEAN (Downward wind speed, m s-1)
WWND_STDDEV (Downward wind speed SD, m s-1)
WIND_SPEED_MEAN (Wind speed, m s-1)
WIND_SPEED_STDDEV (Wind speed SD, m s-1)
WIND_FROM_MEAN (Wind from, degree)
WIND_FROM_STDDEV (Wind from SD, degree)
GUST_WND_MEAN (Wind gust speed, m s-1)
GUST_WND_STDDEV (Wind gust speed SD, m s-1)
WIND_MEASUREMENT_HEIGHT_MEAN (Wind measurement height, m)
WIND_MEASUREMENT_HEIGHT_STDDEV (Wind measurement height SD, m)
TEMP_AIR_MEAN (Air temperature, degree_C)
TEMP_AIR_STDDEV (Air temperature SD, degree_C)
RH_MEAN (Relative humidity, percent)
RH_STDDEV (Relative humidity SD, percent)
BARO_PRES_MEAN (Air pressure, hPa)
BARO_PRES_STDDEV (Air pressure SD, hPa)
... (10 more variables)


NOAA AFSC Bering Fisheries Pollock Survey 2020 NRT Saildrone 1046


NOAA AFSC Bering Fisheries Pollock Survey 2020 NRT Saildrone 1049


NOAA NOS Arctic Single Beam 2020 Collection Saildrone


NOAA AFSC Bering Fisheries Pollock Survey 2020 NRT Collection Saildrone


NOAA AOML PMEL Hurricane Monitoring 2020 NRT Saildrone 1054

Summary:
A gen6 Saildrone USV was launched from Alameda, CA with a shorter, 'hurricane wing' and the standard saildrone sensor suite on November 8, 2020. It reached its operating area off the coast of Washington on December 4, 2020. On December 19, 2020, it started to experience rudder issues was was inoperable. It was recovered in Gray's Harbor in Washington for repairs and was redeployed on February 18, 2021. The mission was ended on March 19, 2021.The objectives of this mission was to test the new, ruggedized wing in storms in the Pacific and to provide near real time observations to forecast centers. The USV sailed in close proximity to gliders operated by the University of Washington.

cdm_data_type = Trajectory
VARIABLES:
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SOG (Speed over ground, m s-1)
COG (Course over ground, degree)
HDG (Vehicle heading, degree)
HDG_WING (Wing heading, degree)
WING_ANGLE (degree)
UWND_MEAN (Eastward wind speed, m s-1)
UWND_STDDEV (Eastward wind speed SD, m s-1)
VWND_MEAN (Northward wind speed, m s-1)
VWND_STDDEV (Northward wind speed SD, m s-1)
WWND_MEAN (Downward wind speed, m s-1)
WWND_STDDEV (Downward wind speed SD, m s-1)
GUST_WND_MEAN (Wind gust speed, m s-1)
GUST_WND_STDDEV (Wind gust speed SD, m s-1)
WIND_MEASUREMENT_HEIGHT_MEAN (Wind measurement height, m)
WIND_MEASUREMENT_HEIGHT_STDDEV (Wind measurement height SD, m)
TEMP_AIR_MEAN (Air temperature, degree_C)
TEMP_AIR_STDDEV (Air temperature SD, degree_C)
... (23 more variables)

NOAA Atlantic Oceanographic and Meteorological Laboratory, NOAA PMEL


NOAA/PMEL 2019 Arctic Saildrone Mission, drone 1033

Summary:
Six saildrones (sd-1033, sd-1034, sd-1035, sd-1036, sd-1037 and sd-1041) - remotely piloted, solar- and wind-powered unoccupied surface vehicles (USVs) - were launched near Dutch Harbor, Alaska, USA (53.95�N, 166.50�W) into the Bering Sea on 15 May 2019. This 2019 Arctic Saildrone Mission was a joint effort betweenNOAA�s Pacific Marine Environmental Laboratory (PMEL) and Alaska Fisheries Science Center (AFSC), the NOAA/University of Washington Joint Institute for the Study of the Ocean and Atmosphere (Joint Institue for the Study of Atmoshere and Ocean (JISAO)), and the National Ocean Partnership Program (NOPP) Arctic MISST (Multi-sensor Improved Sea Surface Temperature) study. The overall mission objective was to measure atmospheric, oceanographic, fishery and fur seal conditions in the US arctic. One USV (sd-1041) remained in the Bering Sea measuring fish acoustic backscatter and conducting focal follows of threatened fur seals for AFSC. Five saildrones transited Bering Strait into the Chukchi Sea. One of those (sd-1033) surveyed lines in Distributed Biological Observatories (DBO) 1-5. The remaining four (PMEL sd-1034, sd-1035 and MISST sd-1036, sd-1037) ran transects in the Chukchi Sea and approached the southern sea ice edge in the Arctic Ocean up to ~75�N to measure air-sea heat and momentum flux near sea ice and to validate satellite sea-surface temperature measurements in the arctic. Each saildrone was equipped to measure solar irradiance, air temperature and relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Four cameras aboard each USV imaged up, down, port and starboard of the wing. Saildrones sd-1033 and sd-1034 had Autonomous Surface Vehicle CO2 (ASVCO2) systems measuring seawater pH, temperature, salinity and partial pressure of carbon dioxide (pCO2). Vehicles sd-1033, sd-1034, sd-1035, sd-1036 and sd-1037 measured near surface currents with 300 kHz acoustic Doppler current profilers (ADCP). Sd-1041 carried Simrad WBT Mini and ES38-18/200-18C fisheries echosounders. There were about two dozen encounters with free-floating sea ice between the four Chukchi Sea/Arctic Ocean saildrones. Sd-1035 was caught in sea ice and rendered barely maneuverable with rudder damage about 24 August. Its mission ended early on 10 September after which it was towed into Point Barrow. The remaining saildrones sampled Bering Sea transects and returned to Dutch Harbor on 11 October after sailing side-by-side for a few hours on an end-of-mission comparison. Other supporting measurements were made during this mission. The PMEL/WHOI/JISAO Arctic Heat Open Science Experiment dropped AXBTs on 16-22 July. USCGC Healy met sd-1033 on 11 August for a pCO2 cross-calibration. Sd-1034 and sd-1035 sailed near the sites of periodic surfacings of Marine Robotic Vehicles (MRV) Air-Launched Autonomous Micro-Observer (ALAMO) float 9234. Sd-1036 followed a University of Washington Applied Physics Lab Seaglider in a bow-tie pattern near 73N, 148W in August.

cdm_data_type = Trajectory
VARIABLES:
trajectory (Trajectory/Drone ID)
... (10 more variables)

NOAA/PMEL; NOAA/AFSC; University of Washington


NOAA/PMEL 2019 Arctic Saildrone Mission, drone 1034


NOAA/PMEL 2019 Arctic Saildrone Mission, drone 1035


NOAA/PMEL 2019 Arctic Saildrone Mission, drone 1036


NOAA/PMEL 2019 Arctic Saildrone Mission, drone 1037


NOAA/PMEL 2019 Arctic Saildrone Mission, drone 1041


PMEL Atmospheric Chemistry ACEASIA Aerosol Main Data, 1 min data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry ACEASIA Aerosol Main Data - 1 min data. The third Aerosol Characterization Experiment (ACE) focused on Asia (ACE-Asia) to study the effects of the aerosol emanating from this region on atmospheric chemistry and climate. The experiment was conducted during the spring (mid-March to mid-April of 2001) to capture outbreaks of Asian dust associated with frontal systems moving eastward through the dust-producing regions. The dust is routinely transported to Korea and Japan, out over the North Pacific, and occasionally as far east as North America. En route over China and coastal regions, the dust aerosol mixes with aerosol derived from industrial, combustion, volcanic, and natural sources. Hence by the time the Asian aerosol has reached the western margin of the Pacific Ocean it is a complex mixture of dust, organics, elemental carbon, sulfates, nitrate, sea salt, and liquid water.

For ACE -Asia,  the PMEL Atmospheric Chemistry Group made measurements onboard  the NOAA R/V Ronald H. Brown (RHB).  The RHB left left Honolulu, Hawaii on 15 March  and headed to the ACE-Asia study region.  During the transit across the Pacific, marine air with little influence from continental sources was sampled. Eleven days later on 26 March and 2000 km from the east coast of Japan, RHB encountered continentally influenced air. For the rest of the cruise, air masses heavily impacted by Asian emissions were sampled.

cdm_data_type = Trajectory
VARIABLES:
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
trajectory_id
duration (second)
latitude (degrees_north)
longitude (degrees_east)
altitude (height above mean sea level, m)
ship_speed (Ship Speed over Ground, knots)
ship_course (Ship Course over Ground, degree)
air_temp (Air Temperature, degree_C)
rh (Relative Humidity, percent)
baro_pressure (Barometric Pressure, hPa)
... (25 more variables)


PMEL Atmospheric Chemistry VOCALS Aerosol Main Data, 1 min data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry VOCALS Aerosol Main Data - 1 min data. The VAMOS Ocean-Cloud-Atmosphere-Land Study - Regional Experiment (VOCALS-REx) is an international field experiment designed to better understand physical and chemical processes central to the climate system of the Southeast Pacific (SEP) region. The climate of the SEP region is a tightly coupled system involving poorly understood interactions between the ocean, the atmosphere, and the land. VOCALS-REx will focus on interactions between clouds, aerosols, marine boundary layer (MBL) processes, upper ocean dynamics and thermodynamics, coastal currents and upwelling, large-scale subsidence, and regional diurnal circulations, to the west of the Andes mountain range. The field experiment is ultimately driven by a need for improved model simulations of the coupled climate system in both the SEP and over the wider tropics and subtropics.

cdm_data_type = Trajectory
VARIABLES:
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
trajectory_id
duration (second)
latitude (degrees_north)
longitude (degrees_east)
altitude (height above mean sea level, m)
ship_speed (Ship Speed over Ground, knots)
ship_course (Ship Course over Ground, degree)
ship_heading (degree)
air_temp (Air Temperature, degree_C)
rh (Relative Humidity, percent)
baro_pressure (Barometric Pressure, hPa)
insolation (Shortwave Flux, W m-2)
wind_speed (m s-1)
wind_direction (degree)
wind_u (east component of the wind, m s-1)
wind_v (north component of the wind, m s-1)
relative_wind_speed (Wind Speed Relative to Ship, m s-1)
... (38 more variables)


PMEL Atmospheric Chemistry NEAQS-2002 Aerosol Main Data, 1 min data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry NEAQS-2002 Aerosol Main Data - 1 min data. The New England Air Quality Study, NEAQS 2002 was conducted to assess the concentrations, transport and transformation of gases and aerosols in the marine boundary layer off the northeast coast of the United States.  The PMEL Atmospheric Chemistry Group made Aerosol chemical, physical, and optical measurements aboard the NOAA R/V Ronald H. Brown off the coast of New England from July 12 through August 10, 2002.

cdm_data_type = Trajectory
VARIABLES:
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
trajectory_id
duration (second)
latitude (degrees_north)
longitude (degrees_east)
altitude (height above mean sea level, m)
ship_speed (Ship Speed over Ground, knots)
ship_course (Ship Course over Ground, degree)
air_temp (Air Temperature, degree_C)
rh (Relative Humidity, percent)
baro_pressure (Barometric Pressure, hPa)
insolation (Shortwave Flux, W m-2)
rain_rate (MM' 'Hour-1)
wind_speed (m s-1)
wind_direction (degree)
relative_wind_speed (Wind Speed Relative to Ship, m s-1)
relative_wind_direction (Wind Direction Relative to Ship, degree)
cn (Particle number concentration, cm-3)
ufcn (Ultrafine particle number concentration, cm-3)
sea_surface_temperature (degree_C)
salinity (Sea Surface Salinity, PSU)
ozone (Ozone Mixing Ratio, ppb)
... (20 more variables)


PMEL Atmospheric Chemistry NAURU99 30 minute data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry NAURU - ARM, Atmospheric Radiation Measurement 30 minute data

cdm_data_type = Trajectory
VARIABLES:
traj
id (trajectory id)
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
lon360 (longitude 360, degrees_east)
latitude (degrees_north)
DUR_628 (Sample Duration, min)
COG_3070 (Course Over Ground, degrees_T)
SOG_3080 (Speed Over Ground, knots)
AT_3051 (Air Temperature, degree_C)
RH_910 (RELATIVE HUMIDITY (%), percent)
BP_915 (BAROMETRIC PRESSURE (MB), mbar)
Qs_133 (SHORTWAVE RADIATION, W m-2)
RWS_405 (Wind Speed (rel. to ship), m s-1)
RWD_414 (Wind Dir. (rel. to bow), degrees)
WS_404 (Wind Speed, m s-1)
WD_412 (Wind Direction (from), degrees_T)
WU_430 (Zonal Wind, m s-1)
WV_431 (Meridional Wind, m s-1)
Rr_962 (Rain Rate, mm/hr)
CN_1853 (Total Particles Dp>13nm, cm-3)
CN_1851 (Total Particles Dp>12nm, cm-3)
UFCN_1852 (Total Particles Dp>3nm, cm-3)
AAb_1873 (Aerosol Absorbance, Mm-1)
ASB_1861 (Aerosol Scat Blue, Mm-1)
ASG_1862 (Aerosol Scat Green, Mm-1)
... (14 more variables)


PMEL Atmospheric Chemistry ACE1 Experiment 30 minute data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Southern Hemisphere Aerosol Characterization Experiment 30 minute data

cdm_data_type = Trajectory
VARIABLES:
traj
id (trajectory id)
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
lon360 (longitude 360, degrees_east)
latitude (degrees_north)
DUR_628 (Sample Duration, min)
COG_3070 (Course Over Ground, degrees_T)
SOG_3080 (Speed Over Ground, knots)
AT_3051 (Air Temperature, degree_C)
RH_910 (RELATIVE HUMIDITY (%), percent)
BP_915 (BAROMETRIC PRESSURE (MB), mbar)
Qs_133 (SHORTWAVE RADIATION, W m-2)
RWS_405 (Wind Speed (rel. to ship), m s-1)
RWD_414 (Wind Dir. (rel. to bow), degrees)
WS_404 (Wind Speed, m s-1)
WD_412 (Wind Direction (from), degrees_T)
WU_430 (Zonal Wind, m s-1)
WV_431 (Meridional Wind, m s-1)
O3_1807 (Ozone, ppb)
Rn_1810 (Radon, mBq m-3)
UFCN_1852 (Total Particles Dp>3nm, cm-3)
Rr_962 (Rain Rate, mm/hr)
T_25 (SST (C), C)
S_41 (SALINITY (PSU), PSU)
NO3w_183 (Nitrate in Water, umol/L)
DMSw_1809 (DMSwater, nmol/L)
DMSa_1808 (DMSair, ppt)


PMEL Atmospheric Chemistry ACE2 Experiment 30 minute data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Aerosol Characterization Experiment - NE Atlantic Ocean 30 minute data

cdm_data_type = Trajectory
VARIABLES:
traj
id (trajectory id)
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
lon360 (longitude 360, degrees_east)
latitude (degrees_north)
DUR_628 (Sample Duration, min)
COG_3070 (Course Over Ground, degrees_T)
SOG_3080 (Speed Over Ground, knots)
AT_3051 (Air Temperature, degree_C)
RH_910 (RELATIVE HUMIDITY (%), percent)
BP_915 (BAROMETRIC PRESSURE (MB), mbar)
Qs_133 (SHORTWAVE RADIATION, W m-2)
RWS_405 (Wind Speed (rel. to ship), m s-1)
RWD_414 (Wind Dir. (rel. to bow), degrees)
WS_404 (Wind Speed, m s-1)
WD_412 (Wind Direction (from), degrees_T)
WU_430 (Zonal Wind, m s-1)
WV_431 (Meridional Wind, m s-1)
O3_1807 (Ozone, ppb)
Rn_1810 (Radon, mBq m-3)
CN_1851 (Total Particles Dp>12nm, cm-3)
UFCN_1852 (Total Particles Dp>3nm, cm-3)
AAb_1873 (Aerosol Absorbance, Mm-1)
ASB_1861 (Aerosol Scat Blue, Mm-1)
ASG_1862 (Aerosol Scat Green, Mm-1)
... (14 more variables)


PMEL Atmospheric Chemistry AERPINDO99 Experiment 30 minute data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Aerosols 99 and Indian Ocean Experiment 30 minute data

cdm_data_type = Trajectory
VARIABLES:
traj
id (trajectory id)
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
lon360 (longitude 360, degrees_east)
latitude (degrees_north)
DUR_628 (Sample Duration, min)
COG_3070 (Course Over Ground, degrees_T)
SOG_3080 (Speed Over Ground, knots)
AT_3051 (Air Temperature, degree_C)
RH_910 (RELATIVE HUMIDITY (%), percent)
BP_915 (BAROMETRIC PRESSURE (MB), mbar)
Qs_133 (SHORTWAVE RADIATION, W m-2)
RWS_405 (Wind Speed (rel. to ship), m s-1)
RWD_414 (Wind Dir. (rel. to bow), degrees)
WS_404 (Wind Speed, m s-1)
WD_412 (Wind Direction (from), degrees_T)
WU_430 (Zonal Wind, m s-1)
WV_431 (Meridional Wind, m s-1)
Rr_962 (Rain Rate, mm/hr)
CN_1851 (Total Particles Dp>12nm, cm-3)
UFCN_1852 (Total Particles Dp>3nm, cm-3)
O3_1807 (Ozone, ppb)
AAb_1873 (Aerosol Absorbance, Mm-1)
ASB_1861 (Aerosol Scat Blue, Mm-1)
ASG_1862 (Aerosol Scat Green, Mm-1)
... (16 more variables)


Global DMS Database

Summary:
DMS Database. NOAA/Pacific Marine Environmental Laboratory (PMEL) data from a local source.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
swDMS (Seawater DMS, nmol/l)
DMSPaq (Aqueous DMSP, nmol/l)
DMSPp (Particulate DMSP, nmol/l)
DMSPt (Total DMSP, nmol/l)
wdepth (Water Depth, m)
sdepth (Sample Depth, m)
chl (chlorophyll, mg/l)
SST (Sea Surface Temperature, degree_C)
SAL (Salinity, psu)
wspd (Wind Speed, m s-1)
contributor
platform
region
shortRef (Short Reference)


PMEL Atmospheric Chemistry WACS Aerosol Main Data, 1 min data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry WACS Aerosol Main Data - 1 min data. WACS 2014 Objectives

    Multiple deployments and recoveries of
an in situ sea spray particle generator, Sea Sweep, for characterization of properties and
cloud-nucleating ability of nascent ocean-derived aerosol. In addition, atmospheric
particles and gases and surface seawater will be sampled to assess the impact of ocean
emissions on atmospheric composition.

cdm_data_type = Trajectory
VARIABLES:
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
trajectory_id
duration (second)
latitude (degrees_north)
longitude (degrees_east)
altitude (height above mean sea level, m)
ship_speed (Ship Speed over Ground, knots)
ship_course (Ship Course over Ground, degree)
ship_heading (degree)
air_temp (Air Temperature, degree_C)
rh (Relative Humidity, percent)
baro_pressure (Barometric Pressure, hPa)
insolation (Shortwave Flux, W m-2)
rain_rate (MM' 'Hour-1)
wind_speed (m s-1)
wind_direction (degree)
wind_u (east component of the wind, m s-1)
wind_v (north component of the wind, m s-1)
relative_wind_speed (Wind Speed Relative to Ship, m s-1)
relative_wind_direction (Wind Direction Relative to Ship, degree)
... (36 more variables)


PMEL Atmospheric Chemistry WACS-2 Aerosol Main Data, 1 min data

Summary:
PMEL Atmospheric Chemistry WACS-2 Aerosol Main Data - 1 min data. Core WACS 2014 Objectives

    1. Characterization of freshly emitted SSA. Freshly emitted SSA will be generated with
NOAA Pacific Marine Environmental Laboratory's (PMEL) Sea Sweep particle
generator. Sea Sweep allows for the generation and sampling of nascent
particles without contamination and modification by existing atmospheric particles
and gases (Bates et al., J. Geophys. Res., 2012). Properties of the particles to be
characterized include chemical composition, size distribution, number concentration,
cloud-nucleating ability, light scattering as a function of relative humidity, and light
absorption.

2. Characterization of surface and column seawater properties. Surface seawater
properties to be measured include fluorescence (chlorophyll-a), particulate organic
carbon (POC), dissolved organic carbon (Department of Commerce (DOC)), dimethylsulfide (DMS), temperature,
salinity, bubble surface tension, exopolymer gels, phytoplankton species composition,
and nutrients.

3. Assessment of the impact of surface seawater properties on SSA. The response of
nascent SSA properties (composition, size distribution, cloud-nucleating ability) to
changes in ocean biological regime will be determined.

cdm_data_type = Trajectory
VARIABLES:
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
trajectory_id
duration (second)
latitude (degrees_north)
longitude (degrees_east)
altitude (height above mean sea level, m)
ship_speed (Ship Speed over Ground, knots)
... (36 more variables)


PMEL Atmospheric Chemistry ATOMIC Aerosol Main Data, 1 min data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry ATOMIC Aerosol Main Data - 1 min data. From early January through mid-February 2020, NOAA is partnering with several universities and other programs to lead the Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign (ATOMIC). The field study will take place in the tropical North Atlantic east of Barbados and investigate cloud and air-sea interaction processes with the goal of advancing understanding and prediction of U.S. weather and climate. ATOMIC is the U.S. complement to the European field campaign called EUREC4A. This collaborative effort involves a unique combination of ships, piloted and remotely-controlled aircraft, and remotely-controlled ocean vehicles to characterize ocean and atmospheric properties. A suite of instruments will be deployed from NOAA's research ship Ronald H. Brown and WP-3D Orion "Hurricane Hunter" aircraft, and on land.

The focus area of ATOMIC is in the heart of the trade winds and representative of other regions across the global ocean with shallow convective clouds. Some of the Earth's largest ocean eddies (circular currents) also shed into this region from the Amazon and Orinoco Rivers. Conducting the study during winter allows researchers to observe the ocean, air, and clouds in near isolation from hurricane impacts, and to gain better insight into the ocean's involvement in making clouds that affect larger weather and climate patterns.

Improved understanding of air-sea interactions in this region will help advance representations of these processes in NOAA's model forecast systems. This effort will also improve the numerical guidance used to predict weather and climate extremes.

cdm_data_type = Trajectory
VARIABLES:
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
trajectory_id
duration (second)
latitude (degrees_north)
longitude (degrees_east)
altitude (height above mean sea level, m)
ship_speed (Ship Speed over Ground, knots)
... (46 more variables)


PMEL Atmospheric Chemistry CalNex Aerosol Main Data, 1 min data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry CalNex Aerosol Main Data - 1 min data. CalNex was a joint project of The California Air Resources Board (CARB), the National Oceanic and Atmospheric Administration (NOAA) and the California Energy Commission (CEC).  This project was a joint field study of atmospheric processes over California and the eastern Pacific coastal region in 2010.  The PMEL Atmospheric Chemistry Group made Aerosol chemical, physical, and optical measurements aboard the R/V Atlantis from May 14 through June 8, 2010.

cdm_data_type = Trajectory
VARIABLES:
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
trajectory_id
duration (second)
latitude (degrees_north)
longitude (degrees_east)
altitude (height above mean sea level, m)
ship_speed (Ship Speed over Ground, knots)
ship_course (Ship Course over Ground, degree)
ship_heading (degree)
air_temp (Air Temperature, degree_C)
rh (Relative Humidity, percent)
baro_pressure (Barometric Pressure, hPa)
insolation (Shortwave Flux, W m-2)
rain_rate (MM' 'Hour-1)
wind_speed (m s-1)
wind_direction (degree)
wind_u (east component of the wind, m s-1)
wind_v (north component of the wind, m s-1)
relative_wind_speed (Wind Speed Relative to Ship, m s-1)
relative_wind_direction (Wind Direction Relative to Ship, degree)
cn (Particle number concentration, cm-3)
ufcn (Ultrafine particle number concentration, cm-3)
... (36 more variables)


PMEL Atmospheric Chemistry DYNAMO Aerosol Main Data, 1 min data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry DYNAMO Aerosol Main Data - 1 min data. The Dynamics of the Madden-Julian Oscillation (DYNAMO) field campaign took place in conjunction with the international Cooperative Indian Ocean Experiment on Intraseasonal Variability in the equatorial Indian Ocean during the boreal fall and winter of 2011/2012.  As part of this project the PMEL Atmospheric Chemistry Group made measurements of aerosol properties in the atmosphere over  in the Indian Ocean from September 29 to December 8, 2011.

cdm_data_type = Trajectory
VARIABLES:
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
trajectory_id
duration (second)
latitude (degrees_north)
longitude (degrees_east)
altitude (height above mean sea level, m)
ship_speed (Ship Speed over Ground, knots)
ship_course (Ship Course over Ground, degree)
ship_heading (degree)
air_temp (Air Temperature, degree_C)
rh (Relative Humidity, percent)
baro_pressure (Barometric Pressure, hPa)
insolation (Shortwave Flux, W m-2)
rain_rate (MM' 'Hour-1)
wind_speed (m s-1)
wind_direction (degree)
wind_u (east component of the wind, m s-1)
wind_v (north component of the wind, m s-1)
relative_wind_speed (Wind Speed Relative to Ship, m s-1)
relative_wind_direction (Wind Direction Relative to Ship, degree)
cn (Particle number concentration, cm-3)
ufcn (Ultrafine particle number concentration, cm-3)
... (34 more variables)


PMEL Atmospheric Chemistry ICEALOT Aerosol Main Data, 1 min data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry ICEALOT Aerosol Main Data - 1 min data. A NOAA Contribution for the International Polar Year 2008.

The International Chemistry Experiment in the Arctic Lower  Troposphere (ICEALOT) was conducted in the North Atlantic and Arctic Oceans in March and April 2008 as part of the larger POLARCAT program.  PMEL Atmospheric Chemistry Group made Aerosol chemical, physical, and optical measurements from March 19 to April 24 aboard the R/V Knorr during this project.

cdm_data_type = Trajectory
VARIABLES:
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
trajectory_id
duration (second)
latitude (degrees_north)
longitude (degrees_east)
altitude (height above mean sea level, m)
ship_speed (Ship Speed over Ground, knots)
ship_course (Ship Course over Ground, degree)
ship_heading (degree)
air_temp (Air Temperature, degree_C)
rh (Relative Humidity, percent)
baro_pressure (Barometric Pressure, hPa)
insolation (Shortwave Flux, W m-2)
rain_rate (MM' 'Hour-1)
wind_speed (m s-1)
wind_direction (degree)
wind_u (east component of the wind, m s-1)
wind_v (north component of the wind, m s-1)
relative_wind_speed (Wind Speed Relative to Ship, m s-1)
relative_wind_direction (Wind Direction Relative to Ship, degree)
cn (Particle number concentration, cm-3)
... (33 more variables)


PMEL Atmospheric Chemistry NAAMES-1 Aerosol Main Data, 1 min data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry NAAMES-1 Aerosol Main Data - 1 min data. The North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) is an interdisciplinary investigation resolving key processes controlling marine ecosystems and aerosols that are essential to our understanding of Earth system function and future change.

NAAMES is a five year investigation to resolve key processes controlling ocean system function, their influences on atmospheric aerosols and clouds and their implications for climate. Observations obtained during four, targeted ship and aircraft measurement campaigns, combined with the continuous satellite and in situ ocean sensor records, will enable improved predictive capabilities of Earth system processes and will inform ocean management and assessment of ecosystem change.

cdm_data_type = Trajectory
VARIABLES:
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
trajectory_id
duration (second)
latitude (degrees_north)
longitude (degrees_east)
altitude (height above mean sea level, m)
ship_speed (Ship Speed over Ground, knots)
ship_course (Ship Course over Ground, degree)
ship_heading (degree)
air_temp (Air Temperature, degree_C)
rh (Relative Humidity, percent)
baro_pressure (Barometric Pressure, hPa)
insolation (Shortwave Flux, W m-2)
rain_rate (MM' 'Hour-1)
wind_speed (m s-1)
wind_direction (degree)
wind_u (east component of the wind, m s-1)
... (21 more variables)


PMEL Atmospheric Chemistry NAAMES-2 Aerosol Main Data, 1 min data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry NAAMES-2 Aerosol Main Data - 1 min data. The North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) is an interdisciplinary investigation resolving key processes controlling marine ecosystems and aerosols that are essential to our understanding of Earth system function and future change.

NAAMES is a five year investigation to resolve key processes controlling ocean system function, their influences on atmospheric aerosols and clouds and their implications for climate. Observations obtained during four, targeted ship and aircraft measurement campaigns, combined with the continuous satellite and in situ ocean sensor records, will enable improved predictive capabilities of Earth system processes and will inform ocean management and assessment of ecosystem change.

cdm_data_type = Trajectory
VARIABLES:
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
trajectory_id
duration (second)
latitude (degrees_north)
longitude (degrees_east)
altitude (height above mean sea level, m)
ship_speed (Ship Speed over Ground, knots)
ship_course (Ship Course over Ground, degree)
ship_heading (degree)
air_temp (Air Temperature, degree_C)
rh (Relative Humidity, percent)
baro_pressure (Barometric Pressure, hPa)
insolation (Shortwave Flux, W m-2)
rain_rate (MM' 'Hour-1)
wind_speed (m s-1)
wind_direction (degree)
wind_u (east component of the wind, m s-1)
... (22 more variables)


PMEL Atmospheric Chemistry NAAMES-3 Aerosol Main Data, 1 min data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry NAAMES-3 Aerosol Main Data - 1 min data. The North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) is an interdisciplinary investigation resolving key processes controlling marine ecosystems and aerosols that are essential to our understanding of Earth system function and future change.

NAAMES is a five year investigation to resolve key processes controlling ocean system function, their influences on atmospheric aerosols and clouds and their implications for climate. Observations obtained during four, targeted ship and aircraft measurement campaigns, combined with the continuous satellite and in situ ocean sensor records, will enable improved predictive capabilities of Earth system processes and will inform ocean management and assessment of ecosystem change.

cdm_data_type = Trajectory
VARIABLES:
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
trajectory_id
duration (second)
latitude (degrees_north)
longitude (degrees_east)
altitude (height above mean sea level, m)
ship_speed (Ship Speed over Ground, knots)
ship_course (Ship Course over Ground, degree)
ship_heading (degree)
air_temp (Air Temperature, degree_C)
rh (Relative Humidity, percent)
baro_pressure (Barometric Pressure, hPa)
insolation (Shortwave Flux, W m-2)
rain_rate (MM' 'Hour-1)
wind_speed (m s-1)
wind_direction (degree)
wind_u (east component of the wind, m s-1)
... (22 more variables)


PMEL Atmospheric Chemistry NAAMES-4 Aerosol Main Data, 1 min data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry NAAMES-4 Aerosol Main Data - 1 min data. The North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) is an interdisciplinary investigation resolving key processes controlling marine ecosystems and aerosols that are essential to our understanding of Earth system function and future change.

NAAMES is a five year investigation to resolve key processes controlling ocean system function, their influences on atmospheric aerosols and clouds and their implications for climate. Observations obtained during four, targeted ship and aircraft measurement campaigns, combined with the continuous satellite and in situ ocean sensor records, will enable improved predictive capabilities of Earth system processes and will inform ocean management and assessment of ecosystem change.

cdm_data_type = Trajectory
VARIABLES:
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
trajectory_id
duration (second)
latitude (degrees_north)
longitude (degrees_east)
altitude (height above mean sea level, m)
ship_speed (Ship Speed over Ground, knots)
ship_course (Ship Course over Ground, degree)
ship_heading (degree)
air_temp (Air Temperature, degree_C)
rh (Relative Humidity, percent)
baro_pressure (Barometric Pressure, hPa)
insolation (Shortwave Flux, W m-2)
rain_rate (MM' 'Hour-1)
wind_speed (m s-1)
wind_direction (degree)
wind_u (east component of the wind, m s-1)
... (22 more variables)


PMEL Atmospheric Chemistry TexAQS-GoMACCS Aerosol Main Data, 1 min data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry TexAQS-GoMACCS Aerosol Main Data - 1 min data. From July 27 to September 11, 2006 the PMEL Atmospheric Chemistry Group made Aerosol chemical, physical, and optical measurements aboard the NOAA R/V Ronald H. Brown during the Texas Air Quality Study (TexAQS) and the Gulf of Mexico Atmospheric Composition and Climate Study (GoMACCS).

cdm_data_type = Trajectory
VARIABLES:
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
trajectory_id
duration (second)
latitude (degrees_north)
longitude (degrees_east)
altitude (height above mean sea level, m)
ship_speed (Ship Speed over Ground, knots)
ship_course (Ship Course over Ground, degree)
ship_heading (degree)
air_temp (Air Temperature, degree_C)
rh (Relative Humidity, percent)
baro_pressure (Barometric Pressure, hPa)
insolation (Shortwave Flux, W m-2)
rain_rate (MM' 'Hour-1)
wind_speed (m s-1)
wind_direction (degree)
wind_u (east component of the wind, m s-1)
wind_v (north component of the wind, m s-1)
relative_wind_speed (Wind Speed Relative to Ship, m s-1)
relative_wind_direction (Wind Direction Relative to Ship, degree)
cn (Particle number concentration, cm-3)
ufcn (Ultrafine particle number concentration, cm-3)
sea_surface_temperature (degree_C)
... (34 more variables)


PMEL Atmospheric Chemistry UBWO2012 1 minute data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Uintah Basin Winter Ozone Study 2012 1 minute data

cdm_data_type = TimeSeries
VARIABLES:
tseries
id (timeseries id)
longitude (degrees_east)
lon360 (longitude 360, degrees_east)
latitude (degrees_north)
time (seconds since 1970-01-01T00:00:00Z)
DUR_628 (Sample Duration, min)
IgT_6300 (Seconds since 01-Jan-1904, s)
AT_3051 (Air Temperature, degree_C)
RH_910 (RELATIVE HUMIDITY, percent)
BP_915 (BAROMETRIC PRESSURE, mbar)
WS_404 (Wind Speed, m s-1)
WD_412 (Wind Direction (from), degrees_T)
WU_430 (Zonal Wind, m s-1)
WV_431 (Meridional Wind, m s-1)
SASB_1867 (Submicron AeroScat Blue, Mm-1)
SASG_1868 (Submicron AeroScat Green, Mm-1)
SASR_1869 (Submicron AeroScat Red, Mm-1)
ASSRH_1876 (Aerosol Scat Nephelometer RH, percent)
AScAE1_2003 (Aerosol light Scattering Angstrom Exponent for defined Aerosol at wavelength 1, dimensionless)
AScAE2_2004 (Aerosol light Scattering Angstrom Exponent for defined Aerosol at wavelength 2, dimensionless)
AScAE3_2005 (Aerosol light Scattering Angstrom Exponent for defined Aerosol at wavelength 3, dimensionless)
ASSA1_2006 (Aerosol Single Albedo for defined Aerosol at wavelength 1, dimensionless)
ASSA2_2007 (Aerosol Single Albedo for defined Aerosol at wavelength 2, dimensionless)
ASSA3_2008 (Aerosol Single Albedo for defined Aerosol at wavelength 3, dimensionless)
AAbAE1_2000 (Aerosol light Absorbtion Angstrom Exponent for defined Aerosol at wavelength 1, dimensionless)
... (18 more variables)


PMEL Atmospheric Chemistry UBWO2013 1 minute data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Uintah Basin Winter Ozone Study 2013 1 minute data

cdm_data_type = TimeSeries
VARIABLES:
tseries
id (timeseries id)
longitude (degrees_east)
lon360 (longitude 360, degrees_east)
latitude (degrees_north)
time (seconds since 1970-01-01T00:00:00Z)
DUR_628 (Sample Duration, min)
IgT_6300 (Seconds since 01-Jan-1904, s)
AT_3051 (Air Temperature, degree_C)
RH_910 (RELATIVE HUMIDITY, percent)
BP_915 (BAROMETRIC PRESSURE, mbar)
WS_404 (Wind Speed, m s-1)
WD_412 (Wind Direction (from), degrees_T)
SASB_1867 (Submicron AeroScat Blue, Mm-1)
SASG_1868 (Submicron AeroScat Green, Mm-1)
SASR_1869 (Submicron AeroScat Red, Mm-1)
ASSRH_1876 (Aerosol Scat Nephelometer RH, percent)
AScAE1_2003 (Aerosol light Scattering Angstrom Exponent for defined Aerosol at wavelength 1, dimensionless)
AScAE2_2004 (Aerosol light Scattering Angstrom Exponent for defined Aerosol at wavelength 2, dimensionless)
AScAE3_2005 (Aerosol light Scattering Angstrom Exponent for defined Aerosol at wavelength 3, dimensionless)
ASSA1_2006 (Aerosol Single Albedo for defined Aerosol at wavelength 1, dimensionless)
ASSA2_2007 (Aerosol Single Albedo for defined Aerosol at wavelength 2, dimensionless)
ASSA3_2008 (Aerosol Single Albedo for defined Aerosol at wavelength 3, dimensionless)
AAbAE1_2000 (Aerosol light Absorbtion Angstrom Exponent for defined Aerosol at wavelength 1, dimensionless)
AAbAE2_2001 (Aerosol light Absorbtion Angstrom Exponent for defined Aerosol at wavelength 2, dimensionless)
AAbAE3_2002 (Aerosol light Absorbtion Angstrom Exponent for defined Aerosol at wavelength 3, dimensionless)
... (4 more variables)


PMEL Atmospheric Chemistry NEAQS-2004 Aerosol Main Data, 1 min data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry NEAQS-2004 Aerosol Main Data - 1 min data. The second New England Air Quality Study (NEAQS 2004) took place as part of the multiplatform International Consortium for Atmospheric Research on Transport and Transformation (ICARTT) activity during July and August 2004.  NEAQS 2004 focused on emissions and meteorological and chemical processes that impact air quality and climate forcing in the New England region.

The PMEL Atmospheric Chemistry Group made Aerosol chemical, physical, and optical measurements aboard the NOAA R/V Ronald H. Brown off the coast of New England from July 5 through August 12, 2004.

cdm_data_type = Trajectory
VARIABLES:
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
trajectory_id
duration (second)
latitude (degrees_north)
longitude (degrees_east)
altitude (height above mean sea level, m)
air_temp (Air Temperature, degree_C)
rh (Relative Humidity, percent)
baro_pressure (Barometric Pressure, hPa)
insolation (Shortwave Flux, W m-2)
rain_rate (MM' 'Hour-1)
wind_speed (m s-1)
wind_direction (degree)
wind_u (east component of the wind, m s-1)
wind_v (north component of the wind, m s-1)
cn (Particle number concentration, cm-3)
ufcn (Ultrafine particle number concentration, cm-3)
sea_surface_temperature (degree_C)
salinity (Sea Surface Salinity, PSU)
... (14 more variables)


PMEL Atmospheric Chemistry UBWO2014 1 minute data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Uintah Basin Winter Ozone Study 2014 1 minute data

cdm_data_type = TimeSeries
VARIABLES:
tseries
id (timeseries id)
longitude (degrees_east)
lon360 (longitude 360, degrees_east)
latitude (degrees_north)
time (seconds since 1970-01-01T00:00:00Z)
DUR_628 (Sample Duration, min)
TIM_627 (Julian Days)
IgT_6300 (Seconds since 01-Jan-1904, s)
AT_3051 (Air Temperature, degree_C)
RH_910 (RELATIVE HUMIDITY, percent)
BP_915 (BAROMETRIC PRESSURE, mbar)
WS_404 (Wind Speed, m s-1)
WD_412 (Wind Direction (from), degrees_T)
WU_430 (Zonal Wind, m s-1)
WV_431 (Meridional Wind, m s-1)
Rr_962 (Rain Rate, mm/hr)


PMEL Atmospheric Chemistry MAGE92 Experiment 30 minute data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Marine Aerosol and Gas Exchange project (IGAC-MAGE) 30 minute data

cdm_data_type = Trajectory
VARIABLES:
traj
id (trajectory id)
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
lon360 (longitude 360, degrees_east)
latitude (degrees_north)
DUR_628 (Sample Duration, min)
TIM_627 (Julian Days)
COG_3070 (Course Over Ground, degrees_T)
SOG_3080 (Speed Over Ground, knots)
AT_3051 (Air Temperature, degree_C)
RH_910 (RELATIVE HUMIDITY (%), percent)
CN_1851 (Total Particles Dp>12nm, cm-3)
UFCN_1852 (Total Particles Dp>3nm, cm-3)
BP_915 (BAROMETRIC PRESSURE (MB), mbar)
RWS_405 (Wind Speed (rel. to ship), m s-1)
RWD_414 (Wind Dir. (rel. to bow), degrees)
WU_430 (Zonal Wind, m s-1)
WV_431 (Meridional Wind, m s-1)
WS_404 (Wind Speed, m s-1)
WD_412 (Wind Direction (from), degrees_T)
Qs_133 (SHORTWAVE RADIATION, W m-2)
O3_1807 (Ozone, ppb)


OSMC 60-day Real-time Data

Summary:
Observing System Monitoring Center (OSMC) most recent 60 days of data.

cdm_data_type = Point
VARIABLES:
platform_code (WMO id or Ship call sign)
platform_type
country
time (observation date, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
observation_depth
sst (sea surface temperature, Deg C)
atmp (air temperature, Deg C)
ztmp (profile water temperature, Deg C)
zsal (profile salinity, PSU)
slp (sea level pressure, hPa)
windspd (wind speed, m/s)
winddir (wind from direction, Deg true)
clouds (cloud cover, oktas)
dewpoint (dew point temperature, Deg C)
hur (relative humidity)
wvht (sea surface wave significant height, m)
waterlevel_met_res (meteorological residual tidal elevation, m)
waterlevel_wrt_lcd (tidal elevation WRT local chart datum, m)
water_col_ht (water column height, m)


EcoFOCI M2 surface mooring weather data, 2016-2019

Summary:
EcoFOCI M2 surface mooring weather data. NOAA/Pacific Marine Environmental Laboratory (PMEL) EcoFOCI data. Data are a subset of the full data record, 2016-2019

cdm_data_type = TimeSeries
VARIABLES:
platform_name (Name of platform)
latitude (degrees_north)
longitude (degrees_east)
time (Time UTC, seconds since 1970-01-01T00:00:00Z)
air_temperature_deg_C
atmospheric_pressure_mbar (Air Pressure)
incoming_shortwave_radiation_W_per_m2
relative_humidity_percent
wind_from_direction_degrees (Wind From Direction)
wind_speed_m_per_s (Wind Speed)
bottom_depth


PMEL Atmospheric Chemistry RITS93 Experiment 30 minute data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Radiatively Important Trace Species - 1993 Pacific Ocean 30 minute data

cdm_data_type = Trajectory
VARIABLES:
traj
id (trajectory id)
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
lon360 (longitude 360, degrees_east)
latitude (degrees_north)
DUR_628 (Sample Duration, min)
COG_3070 (Course Over Ground, degrees_T)
SOG_3080 (Speed Over Ground, knots)
AT_3051 (Air Temperature, degree_C)
RH_910 (RELATIVE HUMIDITY (%), percent)
ASB_1861 (Aerosol Scat Blue, Mm-1)
ASG_1862 (Aerosol Scat Green, Mm-1)
ASR_1863 (Aerosol Scat Red, Mm-1)
CN_1851 (Total Particles Dp>12nm, cm-3)
UFCN_1852 (Total Particles Dp>3nm, cm-3)
BP_915 (BAROMETRIC PRESSURE (MB), mbar)
RWS_405 (Wind Speed (rel. to ship), m s-1)
RWD_414 (Wind Dir. (rel. to bow), degrees)
WU_430 (Zonal Wind, m s-1)
WV_431 (Meridional Wind, m s-1)
WS_404 (Wind Speed, m s-1)
WD_412 (Wind Direction (from), degrees_T)
Qs_133 (SHORTWAVE RADIATION, W m-2)
O3_1807 (Ozone, ppb)
T_25 (SST (C), C)
S_41 (SALINITY (PSU), PSU)
Chl_933 (Chlorophyll, ug/L)
NO3w_183 (Nitrate in Water, umol/L)


PMEL Atmospheric Chemistry RITS94 Experiment 30 minute data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Radiatively Important Trace Species - 1994  Pacific Ocean 30 minute data

cdm_data_type = Trajectory
VARIABLES:
traj
id (trajectory id)
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
lon360 (longitude 360, degrees_east)
latitude (degrees_north)
DUR_628 (Sample Duration, min)
COG_3070 (Course Over Ground, degrees_T)
SOG_3080 (Speed Over Ground, knots)
AT_3051 (Air Temperature, degree_C)
RH_910 (RELATIVE HUMIDITY (%), percent)
ASB_1861 (Aerosol Scat Blue, Mm-1)
ASG_1862 (Aerosol Scat Green, Mm-1)
ASR_1863 (Aerosol Scat Red, Mm-1)
CN_1851 (Total Particles Dp>12nm, cm-3)
UFCN_1852 (Total Particles Dp>3nm, cm-3)
BP_915 (BAROMETRIC PRESSURE (MB), mbar)
RWS_405 (Wind Speed (rel. to ship), m s-1)
RWD_414 (Wind Dir. (rel. to bow), degrees)
WU_430 (Zonal Wind, m s-1)
WV_431 (Meridional Wind, m s-1)
WS_404 (Wind Speed, m s-1)
WD_412 (Wind Direction (from), degrees_T)
Qs_133 (SHORTWAVE RADIATION, W m-2)
O3_1807 (Ozone, ppb)
T_25 (SST (C), C)
... (4 more variables)


Surface fluxes calculated with Coare 3.0 algorithm from data from surface mooring deployments

Summary:
OceanSITES Surface fluxes calculated with Coare 3.0 algorithm from data from Woods Hole Oceanographic Institution (WHOI) moorings

cdm_data_type = TimeSeries
VARIABLES:
wmo_platform_code
site_code
latitude (Nominal site latitude, degrees_north)
longitude (Nominal site longitude, degrees_east)
time (seconds since 1970-01-01T00:00:00Z)
RAIN (precipitation rate, mm/hour)
QB (sensible heat flux, W/m2)
QH (latent heat flux, W/m2)
QN (net heat flux, W/m2)
QL (net longwave, W/m2)
QS (net shortwave, W/m2)
TAUDIR (wind stress direction, degree N)
TAUMAG (wind stress magnitude, N/m^2)
TSKIN (SST adjusted to skin, degree)
WS_H (wind speed adjusted to 10m, m/s)
QQ_H (specific humidity adjusted to 2m, g/kg)
TA_H (air temperature adjusted to 2m, degree_C)
TAUE (east wind stress, N/m^2)
TAUN (north wind stress, N/m^2)
STABILITY (stability parameter, 1)


Saildrone Arctic 2018 data

Summary:
Saildrone Network Common Data Format (NetCDF) format. Saildrone data from a local source.

cdm_data_type = Trajectory
VARIABLES:
trajectory (Trajectory/Drone ID)
latitude (degrees_north)
longitude (degrees_east)
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
SOG (Speed over ground, m s-1)
COG (Course over ground, degree)
HDG (Vehicle heading, degree)
HDG_WING (Wing heading, degree)
ROLL (degree)
PITCH (degree)
WING_ANGLE (degree)
BARO_PRES_MEAN (Air pressure, hPa)
BARO_PRES_STDDEV (Air pressure SD, hPa)
TEMP_AIR_MEAN (Air temperature, degree_C)
TEMP_AIR_STDDEV (Air temperature SD, degree_C)
RH_MEAN (Relative humidity, percent)
RH_STDDEV (Relative humidity SD, percent)
PAR_AIR_MEAN (Photosynthetically active radiation in air, micromol s-1 m-2)
PAR_AIR_STDDEV (Photosynthetically active radiation in air SD, micromol s-1 m-2)
TEMP_IR_UNCOR_MEAN (Skin temperature, degree_C)
TEMP_IR_UNCOR_STDDEV (Skin temperature SD, degree_C)
UWND_MEAN (Eastward wind speed, m s-1)
UWND_STDDEV (Eastward wind speed SD, m s-1)
VWND_MEAN (Northward wind speed, m s-1)
VWND_STDDEV (Northward wind speed SD, m s-1)
WWND_MEAN (Downward wind speed, m s-1)
WWND_STDDEV (Downward wind speed SD, m s-1)
... (37 more variables)


NOAA NWFSC West Coast Survey 2018 NRT Saildrone 1024

Summary:
The 2018 West Coast Fisheries Survey is the first time autonomous wind and solar-powered vehicles have been used to gather essential data on fish populations. Five saildrones traveled more than 18,500 nautical miles over 100 days along the US west coast. Four of the saildrones duplicated the path of the NOAA research vessel Reuben Lasker collecting data on sardine, anchovy, and hake, one of the West Coast's most valuable commercial fisheries. The fifth saildrone collected data close to shore in areas too shallow for the ship to safely navigate.

cdm_data_type = Trajectory
VARIABLES:
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
trajectory (Trajectory/Drone ID)
SOG (Speed over ground, m s-1)
COG (Course over ground, degree)
HDG (Vehicle heading, degree)
HDG_WING (Wing heading, degree)
ROLL (degree)
PITCH (degree)
WING_ANGLE (degree)
BARO_PRES_MEAN (Air pressure, hPa)
BARO_PRES_STDDEV (Air pressure SD, hPa)
TEMP_AIR_MEAN (Air temperature, degree_C)
TEMP_AIR_STDDEV (Air temperature SD, degree_C)
RH_MEAN (Relative humidity, percent)
RH_STDDEV (Relative humidity SD, percent)
PAR_AIR_MEAN (Photosynthetically active radiation in air, micromol s-1 m-2)
PAR_AIR_STDDEV (Photosynthetically active radiation in air SD, micromol s-1 m-2)
TEMP_IR_UNCOR_MEAN (Skin temperature, degree_C)
TEMP_IR_UNCOR_STDDEV (Skin temperature SD, degree_C)
UWND_MEAN (Eastward wind speed, m s-1)
... (27 more variables)


NOAA NWFSC West Coast Survey 2018 NRT Saildrone 1025


NOAA NWFSC West Coast Survey 2018 NRT Saildrone 1026


NOAA NWFSC West Coast Survey 2018 NRT Saildrone 1027


NOAA NWFSC West Coast Survey 2018 NRT Saildrone 1028


NOAA NWFSC West Coast Survey 2018 NRT Collection Saildrone


TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1989-present, Evaporation

Summary:
This dataset has daily Evaporation data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
E_250 (Evaporation, MM/HR)
QE_5250 (Evaporation Quality)


TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 2000-present, Buoyancy Flux

Summary:
This dataset has daily Buoyancy Flux data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
BF_191 (Buoyancy Flux, 10**6 kg m-2 s-1)
QBF_5191 (Buoyancy Flux Quality)


TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 2000-present, Total Heat Flux

Summary:
This dataset has daily Total Heat Flux data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
QT_210 (Total Heat Flux, W/M**2)
QQ0_5210 (Total Heat Flux Quality)


TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1989-present, Latent Heat Flux

Summary:
This dataset has daily Latent Heat Flux data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
QL_137 (Latent Heat Flux, W m-2)
QQL_5137 (Latent Heat Flux Quality)


TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1989-present, Sensible Heat Flux

Summary:
This dataset has daily Sensible Heat Flux data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
QS_138 (Sensible Heat Flux, W m-2)
QQS_5138 (Sensible Heat Flux Quality)


NOAA PMEL TPOS 2017 NRT Saildrone 1005

Summary:
This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2017 Mission (Mission 1) to the eastern tropical Pacific (10N, 125W and 0, 125W). This was the first of three missions funded by NOAA/OAR/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. The PMEL TPOS 2017 Mission (aka Mission 1) had two Gen-4 Saildrones, each with a full atmospheric and ocean core sensor suite, an Acoustic Doppler Current Profiler (ADCP), and an ASVCO2 carbon flux and pH system. The two drones were deployed out of Alameda, CA on September 1, 2017 for a mission in the equatorial Pacific.  After sailing near the CCE1 mooring off coastal California, the drones proceeded to the area near 10N, 125W.  They remained in the area from October 18 - November 13, 2017 to participate in the Salinity Processes in the Upper Ocean Regional Study (SPURS)-2 field study, which included side-by-side data acquisition with a Woods Hole Oceanographic Institution (WHOI) buoy, and the R/V REVELLE.  When SPURS-2 ended, the drones sailed south on either side of 125W, stopping for comparisons against Tropical Atmosphere/Ocean (TAO) moorings at 8N, 5N, and 2N.  After crossing the equator, the drones returned to California.  SD-1005 was recovered in San Luis Obispo Bay on May 6, 2018.  SD-1006 was recovered from San Francisco Bay on May 18, 2018.

cdm_data_type = Trajectory
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
trajectory (Trajectory/Drone ID)
TEMP_O2_STDDEV (Seawater temperature SD, degree_C)
SW_UNMASKED_IRRAD_CENTER_MEAN (Shortwave total radiation measured by unmasked center detector, W m-2)
CHLOR_MEAN (Chlorophyll concentration, microgram L-1)
RH_MEAN (Relative humidity, percent)
RH_QC (quality flag)
RH_DM (data mode)
... (56 more variables)


NOAA PMEL TPOS 2017 NRT Saildrone 1006


TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1997-present, Evaporation Minus Precipitation

Summary:
This dataset has daily Evaporation Minus Precipitation data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
EMP_251 (Evaporation Minus Precipitation, mm/hr)
QEMP_5251 (Evaporation Minus Precipitation Quality)


NOAA PMEL TPOS 2018 NRT Saildrone 1005

Summary:
This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2018 Mission (Mission 2) to the central equatorial Pacific (0, 140W). This was the second of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2018 Mission (aka Mission 2) had four Saildrones: SD1005 and SD1006 were Gen 4 drones, and SD1029 and SD1030 were Gen 5 drones equipped with a larger wing designed for equatorial work.  The drones were each equipped with full atmospheric and ocean core sensor suite, and an Acoustic Doppler Current Profiler (ADCP) (not included in this file). SD1029 & SD1030 also carried shortwave and longwave radiation (included in core set) and an ASVCO2 carbon flux and pH system; these carbon data are served in a separate file. SD1029 had 3 strap-on SBE56 temperature sensors (at 0.35m, 1.16m, and 1.72m) to study the near-surface stratification. For the Gen5 drones, the core Conductivity, Temperature, Depth (CTD) was an RBR located in the flowthrough tunnel in the keel. The carbon system also had an independent prawler CTD that is higher quality than the RBR. The vehicles were deployed out of Honolulu, HI on October 3, 2018. After sailing near a PMEL Carbon mooring in Kaneohe Bay, HI, the drones proceeded to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W. Three drones completed a circuit around the mooring, and then began their transit south towards the equator. Two drones made it to the equator and sailed near the TAO moorings at 0, 140W.  Navigation issues caused the mission to be aborted early (mid-December 2018), before further science tasks could be completed. Three Saildrones were recovered in Honolulu on 01-27-19. SD1030 was recovered in HI later in the spring of 2019.

cdm_data_type = Trajectory
VARIABLES:
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
trajectory (Trajectory/Drone ID)
latitude_QC (quality flag, degrees_north)
... (60 more variables)


NOAA PMEL TPOS 2018 NRT Saildrone 1006


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1030

Summary:
(1) Real-time steering of USVs toward tropical cyclones and other strong low-pressure systems, based on forecasted tracks and the knowledge and experience gained from the 2021-2023 hurricane missions (2) Continuing to evolve and refine the practice of coordinating USVs and underwater gliders, small uncrewed aerial systems, and other air-deployed or pre-existing instruments (3) Observations of air-sea interactions ahead of, inside, and after hurricanes (4) Provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems (5) Near-real time validations of forecast model initialization and output.

cdm_data_type = Trajectory
VARIABLES:
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SOG (Speed over ground, m s-1)
SOG_FILTERED_MEAN
SOG_FILTERED_STDDEV
SOG_FILTERED_MAX
SOG_FILTERED_MIN
COG (Course over ground, degree)
COG_FILTERED_MEAN
COG_FILTERED_STDDEV
HDG (Vehicle heading, degree)
HDG_FILTERED_MEAN
HDG_FILTERED_STDDEV
ROLL_FILTERED_MEAN
ROLL_FILTERED_STDDEV
ROLL_FILTERED_PEAK
PITCH_FILTERED_MEAN
PITCH_FILTERED_STDDEV
PITCH_FILTERED_PEAK
... (61 more variables)


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1040


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1041

Summary:
(1) Real-time steering of USVs toward tropical cyclones and other strong low-pressure systems, based on forecasted tracks and the knowledge and experience gained from the 2021-2023 hurricane missions (2) Continuing to evolve and refine the practice of coordinating USVs and underwater gliders, small uncrewed aerial systems, and other air-deployed or pre-existing instruments (3) Observations of air-sea interactions ahead of, inside, and after hurricanes (4) Provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems (5) Near-real time validations of forecast model initialization and output

cdm_data_type = Trajectory
VARIABLES:
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SOG (Speed over ground, m s-1)
SOG_FILTERED_MEAN
SOG_FILTERED_STDDEV
SOG_FILTERED_MAX
SOG_FILTERED_MIN
COG (Course over ground, degree)
COG_FILTERED_MEAN
COG_FILTERED_STDDEV
HDG (Vehicle heading, degree)
HDG_FILTERED_MEAN
HDG_FILTERED_STDDEV
ROLL_FILTERED_MEAN
ROLL_FILTERED_STDDEV
ROLL_FILTERED_PEAK
PITCH_FILTERED_MEAN
PITCH_FILTERED_STDDEV
PITCH_FILTERED_PEAK
... (57 more variables)


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1042


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1057

Summary:
(1) Real-time steering of USVs toward tropical cyclones and other strong low-pressure systems, based on forecasted tracks and the knowledge and experience gained from the 2021-2023 hurricane missions (2) Continuing to evolve and refine the practice of coordinating USVs and underwater gliders, small uncrewed aerial systems, and other air-deployed or pre-existing instruments (3) Observations of air-sea interactions ahead of, inside, and after hurricanes (4) Provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems (5) Near-real time validations of forecast model initialization and output.

cdm_data_type = Trajectory
VARIABLES:
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SOG (Speed over ground, m s-1)
SOG_FILTERED_MEAN
SOG_FILTERED_STDDEV
SOG_FILTERED_MAX
SOG_FILTERED_MIN
COG (Course over ground, degree)
COG_FILTERED_MEAN
COG_FILTERED_STDDEV
HDG (Vehicle heading, degree)
HDG_FILTERED_MEAN
HDG_FILTERED_STDDEV
ROLL_FILTERED_MEAN
ROLL_FILTERED_STDDEV
ROLL_FILTERED_PEAK
PITCH_FILTERED_MEAN
PITCH_FILTERED_STDDEV
PITCH_FILTERED_PEAK
... (57 more variables)


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1068

Summary:
(1) Real-time steering of USVs toward tropical cyclones and other strong low-pressure systems, based on forecasted tracks and the knowledge and experience gained from the 2021-2023 hurricane missions (2) Continuing to evolve and refine the practice of coordinating USVs and underwater gliders, small uncrewed aerial systems, and other air-deployed or pre-existing instruments (3) Observations of air-sea interactions ahead of, inside, and after hurricanes (4) Provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems (5) Near-real time validations of forecast model initialization and output.

cdm_data_type = Trajectory
VARIABLES:
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SOG (Speed over ground, m s-1)
SOG_FILTERED_MEAN
SOG_FILTERED_STDDEV
SOG_FILTERED_MAX
SOG_FILTERED_MIN
COG (Course over ground, degree)
COG_FILTERED_MEAN
COG_FILTERED_STDDEV
HDG (Vehicle heading, degree)
HDG_FILTERED_MEAN
HDG_FILTERED_STDDEV
ROLL_FILTERED_MEAN
ROLL_FILTERED_STDDEV
ROLL_FILTERED_PEAK
PITCH_FILTERED_MEAN
PITCH_FILTERED_STDDEV
PITCH_FILTERED_PEAK
... (71 more variables)


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1083


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1091


NOAA SWFSC 2023 Saildrone 1048

Summary:
The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.

cdm_data_type = Trajectory
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SOG (Speed over ground, m s-1)
SOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)
SOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)
SOG_FILTERED_MAX (Speed over ground one minute max, m s-1)
SOG_FILTERED_MIN (Speed over ground one minute min, m s-1)
COG (Course over ground, degree)
COG_FILTERED_MEAN (Course over ground one minute mean, degree)
COG_FILTERED_STDDEV (Course over ground one minute stddev, degree)
HDG (Vehicle heading, degree)
HDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)
HDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)
ROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)
ROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)
ROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)
PITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)
PITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)
PITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)
HDG_WING (Wing heading, degree)
... (54 more variables)


NOAA SWFSC 2023 Saildrone 1060


NOAA SWFSC 2023 Saildrone 1096


NOAA SWFSC 2023 Collection Saildrone


NOAA SWFSC 2022 Saildrone 1076

Summary:
The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.

cdm_data_type = Trajectory
VARIABLES:
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SOG (Speed over ground, m s-1)
SOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)
SOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)
SOG_FILTERED_MAX (Speed over ground one minute max, m s-1)
SOG_FILTERED_MIN (Speed over ground one minute min, m s-1)
COG (Course over ground, degree)
COG_FILTERED_MEAN (Course over ground one minute mean, degree)
COG_FILTERED_STDDEV (Course over ground one minute stddev, degree)
HDG (Vehicle heading, degree)
HDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)
HDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)
ROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)
ROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)
ROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)
PITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)
PITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)
PITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)
HDG_WING (Wing heading, degree)
... (54 more variables)


NOAA SWFSC 2022 Saildrone 1077


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1031

Summary:
(1) Real-time steering of USVs toward tropical cyclones and other strong low-pressure systems, based on forecasted tracks and the knowledge and experience gained from the 2021-2023 hurricane missions (2) Continuing to evolve and refine the practice of coordinating USVs and underwater gliders, small uncrewed aerial systems, and other air-deployed or pre-existing instruments (3) Observations of air-sea interactions ahead of, inside, and after hurricanes (4) Provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems (5) Near-real time validations of forecast model initialization and output.

cdm_data_type = Trajectory
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SOG (Speed over ground, m s-1)
SOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)
SOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)
SOG_FILTERED_MAX (Speed over ground one minute max, m s-1)
SOG_FILTERED_MIN (Speed over ground one minute min, m s-1)
COG (Course over ground, degree)
COG_FILTERED_MEAN (Course over ground one minute mean, degree)
COG_FILTERED_STDDEV (Course over ground one minute stddev, degree)
HDG (Vehicle heading, degree)
HDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)
HDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)
ROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)
ROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)
ROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)
PITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)
PITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)
PITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)
... (57 more variables)


NOAA NOS Arctic Single Beam 2021 NRT Saildrone 1030

Summary:
Four Gen6 Saildrone Explorer USVs were launched from Dutch Harbor in August 2021. These USVs were equipped with DT800 single beam sonars. Two of the USVs were equipped with Gen1 ASVCO2 sensors and two were equipped with Gen2 ASVCO2 sensors. The objectives of this mission include mapping contours within the Arctic for uncharted or minimally charted parts of the sea, and performing intercomparisons between the Gen1 and Gen2 ASVCO2 systems in the Arctic environment.

cdm_data_type = Trajectory
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
trajectory (Trajectory/Drone ID)
SOG (Speed over ground, m s-1)
SOG_FILTERED_MEAN
SOG_FILTERED_STDDEV
SOG_FILTERED_MAX
SOG_FILTERED_MIN
COG (Course over ground, degree)
COG_FILTERED_MEAN
COG_FILTERED_STDDEV
HDG (Vehicle heading, degree)
HDG_FILTERED_MEAN
HDG_FILTERED_STDDEV
ROLL_FILTERED_MEAN
ROLL_FILTERED_STDDEV
ROLL_FILTERED_PEAK
PITCH_FILTERED_MEAN
PITCH_FILTERED_STDDEV
PITCH_FILTERED_PEAK
HDG_WING (Wing heading, degree)
WING_HDG_FILTERED_MEAN
... (52 more variables)


NOAA NOS Arctic Single Beam 2021 NRT Saildrone 1033

Summary:
Four Gen6 Saildrone Explorer USVs were launched from Dutch Harbor in August 2021. These USVs were equipped with DT800 single beam sonars. Two of the USVs were equipped with Gen1 ASVCO2 sensors and two were equipped with Gen2 ASVCO2 sensors. The objectives of this mission include mapping contours within the Arctic for uncharted or minimally charted parts of the sea, and performing intercomparisons between the Gen1 and Gen2 ASVCO2 systems in the Arctic environment.

cdm_data_type = Trajectory
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
trajectory (Trajectory/Drone ID)
SOG (Speed over ground, m s-1)
SOG_FILTERED_MEAN
SOG_FILTERED_STDDEV
SOG_FILTERED_MAX
SOG_FILTERED_MIN
COG (Course over ground, degree)
COG_FILTERED_MEAN
COG_FILTERED_STDDEV
HDG (Vehicle heading, degree)
HDG_FILTERED_MEAN
HDG_FILTERED_STDDEV
ROLL_FILTERED_MEAN
ROLL_FILTERED_STDDEV
ROLL_FILTERED_PEAK
PITCH_FILTERED_MEAN
PITCH_FILTERED_STDDEV
PITCH_FILTERED_PEAK
HDG_WING (Wing heading, degree)
WING_HDG_FILTERED_MEAN
... (50 more variables)


NOAA NOS Arctic Single Beam 2021 NRT Saildrone 1034


NOAA NOS Arctic Single Beam 2021 NRT Saildrone 1067


NOAA SWFSC 2021 NRT Saildrone 1059

Summary:
Two Gen6 Saildrone Explorer USVs were launched from Westport, WA in June 2021. These USVs were equipped with EK80 echosounders, and other metocean sensors and sailed along the west coast of the United States as a part of a fish stock survey. A third Gen6 USV was launched in August 2021 from Alameda, CA to perform southern transects in the same fisheries survey.

cdm_data_type = Trajectory
VARIABLES:
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SOG (Speed over ground, m s-1)
SOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)
SOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)
SOG_FILTERED_MAX (Speed over ground one minute max, m s-1)
SOG_FILTERED_MIN (Speed over ground one minute min, m s-1)
COG (Course over ground, degree)
COG_FILTERED_MEAN (Course over ground one minute mean, degree)
COG_FILTERED_STDDEV (Course over ground one minute stddev, degree)
HDG (Vehicle heading, degree)
HDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)
HDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)
ROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)
ROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)
ROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)
PITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)
PITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)
PITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)
HDG_WING (Wing heading, degree)
WING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)
WING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)
WING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)
... (45 more variables)


NOAA SWFSC 2022 Collection Saildrone


NOAA SWFSC 2021 NRT Collection Saildrone


NOAA NWFSC Hake Survey 2021 NRT Saildrone 1063

Summary:
Two Gen6 Saildrone Explorer USVs were launched from Alameda, CA in August 2021. These USVs were equipped with WBT mini echosounders with 200/38 kHz transducers, and other metocean sensors and sailed along the west coast of the United States as a part of a hake fish stock survey.

cdm_data_type = Trajectory
VARIABLES:
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SOG (Speed over ground, m s-1)
SOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)
SOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)
SOG_FILTERED_MAX (Speed over ground one minute max, m s-1)
SOG_FILTERED_MIN (Speed over ground one minute min, m s-1)
COG (Course over ground, degree)
COG_FILTERED_MEAN (Course over ground one minute mean, degree)
COG_FILTERED_STDDEV (Course over ground one minute stddev, degree)
HDG (Vehicle heading, degree)
HDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)
HDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)
ROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)
ROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)
ROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)
PITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)
PITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)
PITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)
HDG_WING (Wing heading, degree)
WING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)
WING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)
WING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)
WING_ROLL_FILTERED_STDDEV (Wing roll one minute stddev, degree)
... (44 more variables)


NOAA NWFSC Hake Survey 2021 NRT Saildrone 1064


NOAA SWFSC 2021 NRT Saildrone 1055

Summary:
Two Gen6 Saildrone Explorer USVs were launched from Westport, WA in June 2021. These USVs were equipped with EK80 echosounders, and other metocean sensors and sailed along the west coast of the United States as a part of a fish stock survey. A third Gen6 USV was launched in August 2021 from Alameda, CA to perform southern transects in the same fisheries survey.

cdm_data_type = Trajectory
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
trajectory (Trajectory/Drone ID)
SOG (Speed over ground, m s-1)
SOG_FILTERED_MEAN
SOG_FILTERED_STDDEV
SOG_FILTERED_MAX
SOG_FILTERED_MIN
COG (Course over ground, degree)
COG_FILTERED_MEAN
COG_FILTERED_STDDEV
HDG (Vehicle heading, degree)
HDG_FILTERED_MEAN
HDG_FILTERED_STDDEV
ROLL_FILTERED_MEAN
ROLL_FILTERED_STDDEV
ROLL_FILTERED_PEAK
PITCH_FILTERED_MEAN
PITCH_FILTERED_STDDEV
PITCH_FILTERED_PEAK
HDG_WING (Wing heading, degree)
WING_HDG_FILTERED_MEAN
WING_HDG_FILTERED_STDDEV
... (45 more variables)


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1036

Summary:
(1) Real-time steering of USVs toward tropical cyclones and other strong low-pressure systems, based on forecasted tracks and the knowledge and experience gained from the 2021-2023 hurricane missions (2) Continuing to evolve and refine the practice of coordinating USVs and underwater gliders, small uncrewed aerial systems, and other air-deployed or pre-existing instruments (3) Observations of air-sea interactions ahead of, inside, and after hurricanes (4) Provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems (5) Near-real time validations of forecast model initialization and output.

cdm_data_type = Trajectory
VARIABLES:
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SOG (Speed over ground, m s-1)
SOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)
SOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)
SOG_FILTERED_MAX (Speed over ground one minute max, m s-1)
SOG_FILTERED_MIN (Speed over ground one minute min, m s-1)
COG (Course over ground, degree)
COG_FILTERED_MEAN (Course over ground one minute mean, degree)
COG_FILTERED_STDDEV (Course over ground one minute stddev, degree)
HDG (Vehicle heading, degree)
HDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)
HDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)
ROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)
ROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)
ROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)
PITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)
PITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)
PITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)
... (57 more variables)


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1045


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1069


NOAA PMEL TPOS 2023 Saildrone 1079

Summary:
This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV) (i.e., "saildrone") core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) TPOS 2023 Mission (Mission 6) to the central tropical Pacific along the 155°W meridian, west along the equator, and returning north roughly along the 170°W meridian. This mission was funded by NOAA OMAO UxSOC and the UMS 2022 project to implement the Research to Operations - Component Service Transition Plan Volume 1-C "Uncrewed Surface Vehicles (USV) integrated within the Tropical Pacific Observing System (TPOS)". This TPOS-2023 mission, focused on observing air-sea interaction processes and CO2 fluxes associated with the developing 2023 El Nino, an equatorial upwelling experiment near 0°N 153.5°W, a comparison with R/V Antea near 0°N 166°W, and several National Data Buoy Center (NDBC) buoy flybys.  A pre-mission comparison against the WHOTS mooring was also conducted from May 30 - June 2, 2023.  The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW CICOES)), Dr. Adrienne Sutton (NOAA PMEL), Dr. Samantha Wills (UW/CICOES), Dr. Réka Domokos (NOAA National Marine Fisheries Service (NMFS) Pacific Islands Fisheries Science Center (PIFSC) Ecosystem Services Division (ESD)), Karen Grissom (NOAA NDBC), Eugene Burger (NOAA PMEL), Yolande Serra (UW CICOES), Dr. Arun Kumar (NOAA National Centers for Environmental Prediction (NCEP)), Dr. Jack Reeves Eyre (NOAA NCEP and ERT), and Jieshun Zhu (NOAA NCEP). Mr. Nathan Anderson (UW CICOES) contributed to the metadata creation.  The PMEL TPOS 2023 Mission (aka Mission 6) had three Saildrones: SD1030, SD1033, and SD1079.  All were standard Gen 6 drones with the core MetOcean package and an ASVCO2 Gen2 carbon flux system.  SD1030 and SD1033 were equipped with Acoustic Doppler Current Profilers (ADCPs) at 1.86m (not included in this file) and SD1079 with an EK80 echo sounder.  The collaboration with NMFS facilitated the addition of the echo sounder to explore the value of combining physical and fish biomass surveys of the Pacific Islands Regions, with the collaboration's goal of connecting the life cycle with the energy, water, and carbon cycles to improve ecosystem forecasts within Earth system models.  The core Conductivity, Temperature, Depth (CTD) sensor was an SBE 37-SMP at 1.7m, and a temperature logger RBR Coda^3 T at 0.5m, with 3x PMEL-provided self-logging SBE56 Temperature sensors at 0.355m, 0.775m, and 1.155m.  All drones had a PMEL-provided SPN1 shielded shortwave radiometer and a Kipp and Zonen longwave radiometer.  Carbon system data (including the CTD data) are served through a separate file.  EK80 data will also be provided as a separate file.  The vehicles for the 2023 mission were deployed out of Honolulu, HI in June 2023, arriving on station (near 18°N 155°W) to initiate the mission on 22 June 2023.  The 120-day mission was extended to 05 Nov 2023, because SD1030 went off-mission early (12 Sept 2023) due to navigational issues.

cdm_data_type = Trajectory
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
... (74 more variables)


NOAA PMEL TPOS 2023 Saildrone 1030


NOAA PMEL TPOS 2023 Saildrone 1033


NOAA PMEL TPOS 2022 Saildrone 1033

Summary:
This file contains data from the Saildrone, Inc. Uncrewed Surface Vehicle (USV), aka "saildrone", core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) TPOS 2022 Mission (Mission 5) to the eastern tropical Pacific along the 125W meridian. This mission was funded by NOAA/OMAO as a demonstration project to test saildrone as a research and operational platform for the Tropical Pacific Observing System (TPOS). The mission focused on observing air-sea interaction processes and CO2 fluxes associated with the predicted rare 3rd consecutive La Niña, Tropical Instability Waves, and high frequency eddy and frontal variability between the Equatorial Cold Tongue and the Intertropical Convergence Zone.  The PIs were Dr. Meghan Cronin (NOAA/PMEL), Dr. Dongxiao Zhang (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW/CICOES)), Dr. Adrienne Sutton (NOAA/PMEL), and Mr. Christian Meinig (NOAA/PMEL). Dr. Samantha Wills (UW/CICOES) was a research scientist with the project, acting as a co-PI and Mission Manager during this mission. Mr. Nathan Anderson (UW/CICOES) contributed to the metadata creation.  The PMEL TPOS 2022 Mission (aka Mission 5) had two Saildrones: SD1033 and SD1052.  Both were standard Gen 6 drones, with an Acoustic Doppler Current Profiler (ADCP) at 1.86m (not included in this file) and the core MetOcean package.  The core Conductivity, Temperature, Depth (CTD) was an SBE 37-SMP at 1.7m, with an RBR Coda^3 T temperature sensor at 0.5m and 3x SBE56 T sensors at 0.33m, 0.5m on SD1052 (0.75m on SD1033), and 1.13m.  Both SD1033 and SD1052 had an ASVCO2 Gen2 carbon flux system, an SPN1 shielded shortwave radiometer, and an Eppley longwave radiometer.  The vehicles for the 2022 mission were deployed out of San Francisco Bay, CA in early May 2022, arriving on station to initiate the mission on 22 June 2022.  The 90-day mission ended 22 Sept 2022.

cdm_data_type = Trajectory
VARIABLES:
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
trajectory (Trajectory/Drone ID)
SOG (Speed over ground, m s-1)
SOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)
SOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)
SOG_FILTERED_MAX (Speed over ground one minute max, m s-1)
... (73 more variables)


NOAA PMEL TPOS 2022 Saildrone 1052

Summary:
This file contains data from the Saildrone, Inc. Uncrewed Surface Vehicle (USV), aka "saildrone", core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) TPOS 2022 Mission (Mission 5) to the eastern tropical Pacific along the 125W meridian. This mission was funded by NOAA/OMAO as a demonstration project to test saildrone as a research and operational platform for the Tropical Pacific Observing System (TPOS). The mission focused on observing air-sea interaction processes and CO2 fluxes associated with the predicted rare 3rd consecutive La Niña, Tropical Instability Waves, and high frequency eddy and frontal variability between the Equatorial Cold Tongue and the Intertropical Convergence Zone.  The PIs were Dr. Meghan Cronin (NOAA/PMEL), Dr. Dongxiao Zhang (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW/CICOES)), Dr. Adrienne Sutton (NOAA/PMEL), and Mr. Christian Meinig (NOAA/PMEL). Dr. Samantha Wills (UW/CICOES) was a research scientist with the project, acting as a co-PI and Mission Manager during this mission. Mr. Nathan Anderson (UW/CICOES) contributed to the metadata creation.  The PMEL TPOS 2022 Mission (aka Mission 5) had two Saildrones: SD1033 and SD1052.  Both were standard Gen 6 drones, with an Acoustic Doppler Current Profiler (ADCP) at 1.86m (not included in this file) and the core MetOcean package.  The core Conductivity, Temperature, Depth (CTD) was an SBE 37-SMP at 1.7m, with an RBR Coda^3 T temperature sensor at 0.5m and 3x SBE56 T sensors at 0.33m, 0.5m on SD1052 (0.75m on SD1033), and 1.13m.  Both SD1033 and SD1052 had an ASVCO2 Gen2 carbon flux system, an SPN1 shielded shortwave radiometer, and an Eppley longwave radiometer.  The vehicles for the 2022 mission were deployed out of San Francisco Bay, CA in early May 2022, arriving on station to initiate the mission on 22 June 2022.  The 90-day mission ended 22 Sept 2022.

cdm_data_type = Trajectory
VARIABLES:
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
trajectory (Trajectory/Drone ID)
SOG (Speed over ground, m s-1)
SOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)
SOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)
SOG_FILTERED_MAX (Speed over ground one minute max, m s-1)
... (69 more variables)


NOAA PMEL TPOS 2024 Saildrone 1033

Summary:
This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV) (i.e., "saildrone") core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) Tropical Pacific Observing System (TPOS) 2024 Mission (Mission 7) to the central tropical Pacific. The mission started on Oct 30, 2024 with a transect along the 125°W meridian from 10°N to 6°N, where the USVs then caught favorable currents to intercept the National Science Foundation (NSF)-funded Mixing belOw Tropical Instability waVEs (MOTIVE) cruise near 1°N 138°W.  The MOTIVE cruise featured a drifting array of University of Washington (UW) Applied Physics Laboratory (APL) Wirewalkers and a UW profiling glider (glider PI: Katie Kohlman (UW School of Oceanography)), against which the Saildrones conducted a coordinated frontal study (Nov 22 - 26, 2024). For more information on the MOTIVE cruise, see https://www.polarsteps.com/AnnaAndTheWater/14669345-motive-cruise-i. An upwelling experiment and Tropical Atmosphere/Ocean (TAO) intercomparison at 0°N 140°W was also performed (Dec 2 - 5) before the drones were swept westward by stronger-than-usual equatorial currents associated with the La Niña. Additional scientific objectives accomplished included observations of convective cold pool events, sharp fronts of submeso- and meso-scale processes within Tropical Instability Waves, and a return to the 140°W meridian leveraging North Equatorial Countercurrent (NECC) under the Inter-Tropical Convergence Zone (ITCZ).  This mission was supported through the NOAA OMAO Uncrewed Systems Operation Center (UxSOC) funded project titled "Uncrewed Surface Vehicles (USV) integrated within the Tropical Pacific Observing System", which follows the implementation strategy laid out by the Uncrewed Marine Systems (UMS) 2022 "Research to Operations - Component Service Transition Plan Volume 1-C".  The PIs and mission managers were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW CICOES)), Dr. Yolande Serra (UW CICOES), and Dr. Elizabeth McGeorge (UW CICOES). Other PIs for this mission include: Dr. Adrienne Sutton (NOAA PMEL) for ASVCO2 measurements, Eugene Burger (NOAA PMEL) for data stream issues, Dr. Réka Domokos (NOAA National Marine Fisheries Service (NMFS) Pacific Islands Fisheries Science Center (PIFSC)) for fisheries applications (note: there was no EK80 deployed during this mission), Ian Sears and Stephanie Ray (both at NOAA National Data Buoy Center (NDBC)) for coordination with NDBC TPOS components, and Drs. Arun Kumar and Jieshun Zhu (both at NOAA National Centers for Environmental Prediction (NCEP)) for operational weather, climate and ocean applications. In addition to being part of the mission management team, Mr. Nathan Anderson worked with Ms. Ellen Koukel (both of UW CICOES) on the metadata creation and data archiving.  The PMEL TPOS 2024 Mission (aka Mission 7) had two Saildrones: SD1033 and SD1090.  Both were standard Gen 6 drones with the core MetOcean package and an ASVCO2 Gen2 carbon flux system.  Both were equipped with Acoustic Doppler Current Profilers (ADCPs) at 1.86m (not included in this file). The core Conductivity, Temperature, Depth (CTD) sensor was an SBE 37-SMP at 1.7m, and a temperature logger RBR Coda^3 T at 0.5m, with 3x PMEL-provided self-logging SBE56 Temperature sensors nominally located at 0.33m, 0.75m, and 1.03m.  All drones had a PMEL-provided SPN1 shielded shortwave radiometer and a Kipp and Zonen longwave radiometer (on a standalone data logger and processed separately).  Carbon system data (including the CTD data) are also served through a separate file. The vehicles for the 2024 mission were deployed out of Alameda, CA, arriving on station (10°N 125°W) to initiate the mission on 30 Oct 2024. The 98-day mission was terminated 4 Feb 2025 after anemometers failed on both SD1090 (Jan 15) and SD1033 (Jan 18).

cdm_data_type = Trajectory
VARIABLES:
time (time in seconds, seconds since 1970-01-01T00:00:00Z)
... (80 more variables)


NOAA PMEL TPOS 2024 Saildrone 1090