Ala Wai NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series

Summary:
Observations from NOAA's Moored Surface Ocean CO2 Flux and Ocean Acidification Observing Network. Supported by the NOAA Ocean Observing and Monitoring Division, the NOAA Ocean Acidification Program, and over twenty other partners and programs.

cdm_data_type = TimeSeries
VARIABLES:
station_id
longitude (degrees_east)
latitude (degrees_north)
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
SST (Sea Surface Temperature, deg C)
SSS (Sea Surface Salinity, PSU)
pCO2_sw (Partial Pressure of CO2 in Sea Water, uatm)
pCO2_air (uatm)
xCO2_air (ppm)
pH_sw (Sea Water pH)
DOXY (salinity_compensated dissolved oxygen (Âµmol kg-1), PSU)
CHL (fluorescence-based nighttime chlorophyll-a (Âµg l-1) adjusted with the community-established calibration bias of 2 (https://doi.org/10.1002/lom3.10185), ug/l)
NTU (Turbidity (NTU), ntu)


All NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series

Summary:
Observations from NOAA's Moored Surface Ocean CO2 Flux and Ocean Acidification Observing Network. Supported by the NOAA Ocean Observing and Monitoring Division, the NOAA Ocean Acidification Program, and over twenty other partners and programs.

cdm_data_type = TimeSeries
VARIABLES:
station_id
longitude (degrees_east)
latitude (degrees_north)
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
SST (Sea Surface Temperature, deg C)
SSS (Sea Surface Salinity)
pCO2_sw (Partial Pressure of CO2 in Sea Water, uatm)
pCO2_air (uatm)
xCO2_air (ppm)
pH_sw (Sea Water pH)


Arctic Heat Open Science Experiment

Summary:
This project aims to bridge the upper ocean observation gap in the Arctic marginal seas through the deployment of innovative new autonomous platforms like Marine Robotic Vehicles (MRV) Air-Launched Autonomous Micro-Observer (ALAMO) float, in combination with a more traditional suite of weather and ocean-sensing instrumentation carried aboard a specially-modified NOAA Twin Otter aircraft.

An ALAMO float begins an observation cycle at the surface, descends to a parking depth, remains there for a designated period of time, optionally descends deeper, ascends to the shallowest depth it can reach, remains there to transmit data and get a position fix if at the surface, and then begins the next cycle.  Only ascent data are presented here.

cdm_data_type = TrajectoryProfile
VARIABLES:
profileid
FLOAT_SERIAL_NO (Unique  instrument identifier (e.g. instrument serial number))
CYCLE_NUMBER (Instrument dive cycle number)
REFERENCE_DATE_TIME (Date of reference for Julian days)
time (Julian day (UTC) of the station relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)
JULD_LOCATION (Julian day (UTC) of the location relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)
latitude (Latitude of the station, best estimate, degrees_north)
longitude (Longitude of the station, best estimate, degrees_east)
PRES (Sea water pressure, equals 0 at sea-level, decibar)
TEMP (Sea temperature in-situ ITS-90 scale, degree_Celsius)
PSAL (Practical salinity, PSU)


Argo OHCA error RFROM data

Summary:
OHCA error RFROM. NOAA Pacific Marine Environmental Laboratory (PMEL), Centro de Investigacao Marinha e Ambiental (CIMAR) data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
ocean_heat_content_anomaly_error (10^9 J m^-2)


Argo OHCA RFROM

Summary:
OHCA RFROM with seasonal cycle. NOAA Pacific Marine Environmental Laboratory (PMEL), Centro de Investigacao Marinha e Ambiental (CIMAR) data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
ocean_heat_content_anomaly (10^9 J m^-2)


Argo OHCA RFROM without seasonal cycle

Summary:
Argo OHCA RFROM without seasonal cycle

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
ocean_heat_content_anomaly (10^9 J m^-2)


ARGO RFROM v2.1 Temperature data

Summary:
RFROM v2.1. NOAA Pacific Marine Environmental Laboratory (PMEL), Centro de Investigacao Marinha e Ambiental (CIMAR) data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][mean_pressure][latitude][longitude]):
ocean_temperature (degree_Celsius)


Argo RFROM v2.2

Summary:
RFROM v2.2. NOAA Pacific Marine Environmental Laboratory (PMEL), Centro de Investigacao Marinha e Ambiental (CIMAR) data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
ocean_heat_content_anomaly (10^9 J m^-2)


Argo RFROM v2.2 Real Time

Summary:
RFROM v2.2 Real Time and delyaed mode

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
ocean_heat_content_anomaly (10^9 J m^-2)


BOBOA NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


BTM NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


Cape Arago NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


Cape Elizabeth NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


CCE1 NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


CCE2 NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


CGBN Canadian Arctic Flux 1993-1999

Summary:
Arctic Flux calculated for observations collected from CCGS Louis S. St-Laurent (CGBN) between 1993 and 1999 in Canadian Waters

cdm_data_type = TimeSeries
VARIABLES:
ID (Ship ID)
time (TAXIS, seconds since 1970-01-01T00:00:00Z)
TAU (N/m2)
QS (Q sensible, W/m2)
QL (Q latent, W/m2)
longitude (degrees_east)
latitude (degrees_north)


CGBN US Arctic Flux 1994-1998

Summary:
Arctic Flux calculated for observations collected from CCGS Louis S. St-Laurent (CGBN) between 1994 and 1998 in US Waters

cdm_data_type = TimeSeries
VARIABLES:
ID (Ship ID)
time (TAXIS, seconds since 1970-01-01T00:00:00Z)
TAU (N/m2)
QS (Q sensible, W/m2)
QL (Q latent, W/m2)
longitude (degrees_east)
latitude (degrees_north)


Cha ba NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


Cheeca Rocks NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


Chuuk NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


Coastal LA NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


Coastal MS NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


Crescent Reef NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


CRIMP1 NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


CRIMP2 NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


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


EcoFOCI Prawler data, 2016-2019 subset

Summary:
EcoFOCI Prawler data. NOAA/Pacific Marine Environmental Laboratory (PMEL) EcoFOCI in situ data at M2 mooring location from a moored profiling instrument in the southeast Bering Sea. Data are a subset of the full data record, 2016-2019

cdm_data_type = Profile
VARIABLES:
profileID (Profile ID)
latitude (degrees_north)
longitude (degrees_east)
time (Time UTC, seconds since 1970-01-01T00:00:00Z)
depth (m)
time_AKDT (Time AKDT Rounded, seconds since 1970-01-01T00:00:00Z)
Chlorophyll_a_ug_l (Concentration of Chlorophyll In Sea Water)
Temperature_C
year_AKDT
month_AKDT
day_AKDT
o2_umol_kg_adj (Oxygen microMole/kilogram, adjusted, microMole/kilogram)
o2_umol_l_adj (Oxygen microMole/Liter, adjusted, microMole/Liter)
o2_saturation_corrected (Oxygen Saturation, Corrected, percent)
bottom_depth_m (m)


Engineering data for PMEL BGC Navis floats

Summary:
Engineering data for Pacific Marine Environmental Laboratory (PMEL) BGC Navis floats

cdm_data_type = Trajectory
VARIABLES:
floatid
Program
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
msgEOT (Msg EOT)
MessageTime (Message Time, GMT)
BGCi_SUNA_PH_ICE
ActiveBallastAdjustments (Active Ballast Adjustments)
AirBladderPressure (Air Bladder Pressure)
AirPumpAmps (Air Pump Amps)
AirPumpVolts (Air Pump Volts)
BatteryCounts (Battery Counts)
BuoyancyPumpOnTime (Buoyancy Pump On Time)
BuoyancyPumpAmps (Buoyancy Pump Amps)
BuoyancyPumpVolts (Buoyancy Pump Volts)
CurrentBuoyancyPosition (Current Buoyancy Position)
DeepProfileBuoyancyPosition (Deep Profile Buoyancy Position)
FlashErrorsCorrectable (Flash Errors Correctable)
FlashErrorsUncorrectable (Flash Errors Uncorrectable)
FloatId (Float Id)
GpsFixTime (Gps Fix Time)
IceEvasionRecord (Ice Evasion Record)
IceMLMedianT (Ice MLMedian T)
IceMLSample (Ice MLSample)
IsusPowerCycleCounter (Isus Power Cycle Counter)
McomsAmps (Mcoms Amps)
... (82 more variables)


EOI Miniature Temperature Recorder (MTR) data

Summary:
Pacific Marine Environmental Laboratory (PMEL) Earth_Oceans Interactions Program (EOI) Miniature Temperature Recorder (MTR) data

cdm_data_type = TimeSeries
VARIABLES:
tseries
id (MTR deployment ID)
mtr
sitename (Site-name)
longitude (degrees_east)
latitude (degrees_north)
depth (Deployment depth, m)
loctype (Location type (A or G))
depltype (Deployment type (mooring or seafloor)
seadepth (Seafloor depth, m)
samplerate (Sample rate, min)
yrdepl (Year deployed, year)
dive_depl (Dive deployed)
yrrec (Year recovered, year)
dive_rec (Dive recovered)
notes (comments)
datestr_start (date start string)
timestr_start (time start string)
datestr_end (date end string)
timestr_end (time end string)
obs
temp (Temperature, Degrees C)
turbidity (volts)
corr_depth (Corrected Depth, m)
time (seconds since 1970-01-01T00:00:00Z)


First Landing NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


Forecast Uncertianty Cones

Summary:
These are the coordinates of the forecast track uncertainty cones. They were extract
                from the KML files which are syndicated via the RSS feed in the description.

cdm_data_type = Trajectory
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
name
index
time (observation date, seconds since 1970-01-01T00:00:00Z)


GAKOA NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


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)


GLODAP V2.2021 Arctic Data Profile

Summary:
GLODAP V2.2021 Arctic Data Profile

cdm_data_type = Profile
VARIABLES:
cruise
region
station
cast
year
month
day
hour
minute
profile (Unique Profile ID)
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
bottomdepth
maxsampdepth
bottle
pressure
depth (m)
temperature
theta
salinity (Sea Water Practical Salinity, PSU)
salinityf (Sea Water Practical Salinity, PSU)
salinityqc
sigma0
sigma1
sigma2
sigma3
... (81 more variables)


Gray's Reef NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series

Summary:
Observations from NOAA's Moored Surface Ocean CO2 Flux and Ocean Acidification Observing Network. Supported by the NOAA Ocean Observing and Monitoring Division, the NOAA Ocean Acidification Program, and over twenty other partners and programs.

cdm_data_type = TimeSeries
VARIABLES:
station_id
longitude (degrees_east)
latitude (degrees_north)
time (Datetime UTC, seconds since 1970-01-01T00:00:00Z)
SST (Sea Surface Temperature, deg C)
SSS (Sea Surface Salinity, PSU)
pCO2_sw (Partial Pressure of CO2 in Sea Water, uatm)
pCO2_air (uatm)
xCO2_air (ppm)
pH_sw (Sea Water pH)
DOXY (salinity_compensated dissolved oxygen (Âµmol kg-1), PSU)
CHL (fluorescence-based nighttime chlorophyll-a (Âµg l-1) adjusted with the community-established calibration bias of 2 (https://doi.org/10.1002/lom3.10185), ug/l)
NTU (Turbidity (NTU), ntu)


Gulf of Maine NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


Hog Reef NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


Iceland NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


JKEO NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


Kaneohe NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


KEO NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


Kilo Nalu NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


Kodiak NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


La Parguera NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


Summary:
Long-term Air Chemistry Monitoring Experiment-Submicron

cdm_data_type = TimeSeries
VARIABLES:
Station
latitude (degrees_north)
longitude (degrees_east)
time (Start DateTime UTC, seconds since 1970-01-01T00:00:00Z)
Stop_time (Stop DateTime UTC, seconds since 1970-01-01T00:00:00Z)
Filter_ID (Filter ID YYYY_julian day_filter number)
volume (Volume of air sampled, m3)
mass_sub1_conc (Total Mass Concentration, Dp < 1.1um, micrograms m-3)
IC_Na_sub1_conc (IC Na concentration, Dp < 1.1um, micrograms m-3)
IC_NH4_sub1_conc (IC NH4 concentration, Dp < 1.1um, micrograms m-3)
IC_K_sub1_conc (IC K concentration, Dp < 1.1um, micrograms m-3)
IC_Mg_sub1_conc (IC Mg concentration, Dp < 1.1um, micrograms m-3)
IC_Ca_sub1_conc (IC Ca concentration, Dp < 1.1um, micrograms m-3)
IC_MSA_sub1_conc (IC MSA concentration, Dp < 1.1um, micrograms m-3)
IC_Cl_sub1_conc (IC Cl concentration, Dp < 1.1um, micrograms m-3)
IC_Br_sub1_conc (IC Br concentration, Dp < 1.1um, micrograms m-3)
IC_NO3_sub1_conc (IC NO3 concentration, Dp < 1.1um, micrograms m-3)
IC_total_SO4_sub1_conc (IC total SO4 concentration, Dp < 1.1um, micrograms m-3)
IC_Oxalate_sub1_conc (IC Oxalate concentration, Dp < 1.1um, micrograms m-3)
mass_sub1_blank (mass annual average blank concentration, Dp < 1.1um, micrograms m-3)
IC_Na_sub1_blank (IC Na annual average blank concentration, Dp < 1.1um, micrograms m-3)
IC_NH4_sub1_blank (IC NH4 annual average blank concentration, Dp < 1.1um, micrograms m-3)
IC_K_sub1_blank (IC K annual average blank concentration, Dp < 1.1um, micrograms m-3)
IC_Mg_sub1_blank (IC Mg annual average blank concentration, Dp < 1.1um, micrograms m-3)
IC_Ca_sub1_blank (IC Ca annual average blank concentration, Dp < 1.1um, micrograms m-3)
IC_MSA_sub1_blank (IC methanesulfonic acid annual average blank concentration, Dp < 1.1um, micrograms m-3)
IC_Cl_sub1_blank (IC Cl annual average blank concentration, Dp < 1.1um, micrograms m-3)
... (231 more variables)


Summary:
Long-term Air Chemistry Monitoring Experiment-Supermicron

cdm_data_type = TimeSeries
VARIABLES:
Station
latitude (degrees_north)
longitude (degrees_east)
time (Start DateTime UTC, seconds since 1970-01-01T00:00:00Z)
Stop_time (Stop DateTime UTC, seconds since 1970-01-01T00:00:00Z)
Filter_ID (Filter ID YYYY_julian day_filter number)
volume (Volume of air sampled, m3)
mass_super1_conc (Total Mass Concentration, Dp > 1.1um, micrograms m-3)
IC_Na_super1_conc (IC Na concentration, Dp > 1.1um, micrograms m-3)
IC_NH4_super1_conc (IC NH4 concentration, Dp > 1.1um, micrograms m-3)
IC_K_super1_conc (IC K concentration, Dp > 1.1um, micrograms m-3)
IC_Mg_super1_conc (IC Mg concentration, Dp > 1.1um, micrograms m-3)
IC_Ca_super1_conc (IC Ca concentration, Dp > 1.1um, micrograms m-3)
IC_MSA_super1_conc (IC MSA concentration, Dp > 1.1um, micrograms m-3)
IC_Cl_super1_conc (IC Cl concentration, Dp > 1.1um, micrograms m-3)
IC_Br_super1_conc (IC Br concentration, Dp > 1.1um, micrograms m-3)
IC_NO3_super1_conc (IC NO3 concentration, Dp > 1.1um, micrograms m-3)
IC_total_SO4_super1_conc (IC total SO4 concentration, Dp > 1.1um, micrograms m-3)
IC_Oxalate_super1_conc (IC Oxalate concentration, Dp > 1.1um, micrograms m-3)
IC_Na_super1_blank (IC Na annual average blank concentration, Dp > 1.1um, micrograms m-3)
IC_NH4_super1_blank (IC NH4 annual average blank concentration, Dp > 1.1um, micrograms m-3)
IC_K_super1_blank (IC K annual average blank concentration, Dp > 1.1um, micrograms m-3)
IC_Mg_super1_blank (IC Mg annual average blank concentration, Dp > 1.1um, micrograms m-3)
IC_Ca_super1_blank (IC Ca annual average blank concentration, Dp > 1.1um, micrograms m-3)
IC_MSA_super1_blank (IC methanesulfonic acid annual average blank concentration, Dp > 1.1um, micrograms m-3)
IC_Cl_super1_blank (IC Cl annual average blank concentration, Dp > 1.1um, micrograms m-3)
IC_Br_super1_blank (IC Br annual average blank concentration, Dp > 1.1um, micrograms m-3)
... (38 more variables)


M2 NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


MOSEAN/WHOTS NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


NH-10 NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series


NOAA AFSC Bering Fisheries Pollock Survey 2020 NRT Collection Saildrone

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 1043


NOAA AFSC Bering Fisheries Pollock Survey 2020 NRT Saildrone 1046


NOAA AFSC Bering Fisheries Pollock Survey 2020 NRT Saildrone 1049


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 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)
INSTRUMENT_STATE
ASVCO2_GENERAL_ERROR_FLAGS
ASVCO2_ZERO_ERROR_FLAGS
ASVCO2_SPAN_ERROR_FLAGS
ASVCO2_SECONDARYSPAN_ERROR_FLAGS
ASVCO2_EQUILIBRATEANDAIR_ERROR_FLAGS
ASVCO2_RTC_ERROR_FLAGS
ASVCO2_FLOWCONTROLLER_FLAGS
ASVCO2_LICOR_FLAGS
CO2DETECTOR_TEMP_MEAN_ASVCO2 (degree_C)
CO2DETECTOR_TEMP_STDDEV_ASVCO2 (degree_C)
CO2DETECTOR_PRESS_UNCOMP_STDDEV_ASVCO2
CO2DETECTOR_PRESS_UNCOMP_MEAN_ASVCO2
CO2DETECTOR_PRESS_MEAN_ASVCO2
CO2_MEAN_ASVCO2
CO2_STDDEV_ASVCO2
RH_MEAN_ASVCO2 (relative_humidity)
... (92 more variables)


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 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 1040

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)
COG (Course over ground, degree)
HDG (Vehicle heading, degree)
HDG_WING (Wing heading, degree)
WING_ANGLE (degree)
WIND_FROM_MEAN (Wind from, degree)
WIND_FROM_STDDEV (Wind from SD, degree)
WIND_SPEED_MEAN (Wind speed, m s-1)
WIND_SPEED_STDDEV (Wind speed SD, m s-1)
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)
... (39 more variables)


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)
COG (Course over ground, degree)
HDG (Vehicle heading, degree)
HDG_WING (Wing heading, degree)
WING_ANGLE (degree)
WIND_FROM_MEAN (Wind from, degree)
WIND_FROM_STDDEV (Wind from SD, degree)
WIND_SPEED_MEAN (Wind speed, m s-1)
WIND_SPEED_STDDEV (Wind speed SD, m s-1)
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)
... (35 more variables)


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1042


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1045

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)
COG (Course over ground, degree)
HDG (Vehicle heading, degree)
HDG_WING (Wing heading, degree)
WING_ANGLE (degree)
WIND_FROM_MEAN (Wind from, degree)
WIND_FROM_STDDEV (Wind from SD, degree)
WIND_SPEED_MEAN (Wind speed, m s-1)
WIND_SPEED_STDDEV (Wind speed SD, m s-1)
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)
... (35 more variables)


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1057


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)
COG (Course over ground, degree)
HDG (Vehicle heading, degree)
HDG_WING (Wing heading, degree)
WING_ANGLE (degree)
WIND_FROM_MEAN (Wind from, degree)
WIND_FROM_STDDEV (Wind from SD, degree)
WIND_SPEED_MEAN (Wind speed, m s-1)
WIND_SPEED_STDDEV (Wind speed SD, m s-1)
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)
... (49 more variables)


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1069


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1083


NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1091

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)
INSTRUMENT_STATE
ASVCO2_GENERAL_ERROR_FLAGS
ASVCO2_ZERO_ERROR_FLAGS
ASVCO2_SPAN_ERROR_FLAGS
ASVCO2_SECONDARYSPAN_ERROR_FLAGS
ASVCO2_EQUILIBRATEANDAIR_ERROR_FLAGS
ASVCO2_RTC_ERROR_FLAGS
ASVCO2_FLOWCONTROLLER_FLAGS
ASVCO2_LICOR_FLAGS
CO2DETECTOR_TEMP_MEAN_ASVCO2 (degree_C)
CO2DETECTOR_TEMP_STDDEV_ASVCO2 (degree_C)
CO2DETECTOR_PRESS_UNCOMP_STDDEV_ASVCO2
CO2DETECTOR_PRESS_UNCOMP_MEAN_ASVCO2
CO2DETECTOR_PRESS_MEAN_ASVCO2
CO2_MEAN_ASVCO2
CO2_STDDEV_ASVCO2
RH_MEAN_ASVCO2 (relative_humidity)
... (88 more variables)


NOAA NOS Arctic Single Beam 2020 Collection Saildrone

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 1037


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


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 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 NWFSC West Coast Survey 2018 NRT Collection Saildrone

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 1024


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 2019 NRT Collection Saildrone

Summary:
The 2019 West Coast Fisheries Survey combined the efforts of eight saildrones and research teams onboard the NOAA FSVs Bell M. Shimada and Reuben Lasker to survey the full length of the US West Coast from San Diego, CA, to Cape Flattery, WA. The mission was performed in partnership with NOAA's Northwest Fisheries Science Center (NWFSC) and Southwest Fisheries Science Center (SWFSC). The saildrones were all equipped with Simrad EK80 echo sounders in addition to the standard sensor suite. Four vehicles worked south to north with the Shimada collecting data on the abundance and distribution of Pacific hake. Three vehicles worked north to south with the Lasker and included sampling closer to shore and farther offshore than previous years. The goal was to collect data on target species in areas too shallow for the Lasker to safely navigate, as well as in offshore areas that have not been routinely surveyed to date. The mission was completed in 60 days and included more granular coverage near shore, to depths as shallow as seven meters, as well as transect extensions up to 140 nautical miles offshore.

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)
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)
... (63 more variables)


NOAA NWFSC West Coast Survey 2019 NRT Saildrone 1038


NOAA NWFSC West Coast Survey 2019 NRT Saildrone 1039


NOAA NWFSC West Coast Survey 2019 NRT Saildrone 1040


NOAA NWFSC West Coast Survey 2019 NRT Saildrone 1043


NOAA NWFSC West Coast Survey 2019 NRT Saildrone 1044


NOAA NWFSC West Coast Survey 2019 NRT Saildrone 1045


NOAA NWFSC West Coast Survey 2019 NRT Saildrone 1046


NOAA NWFSC West Coast Survey 2019 NRT Saildrone 1047


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). These data have not been Quality Control (QC)?d.  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)
LW_IRRAD_MEAN (Longwave downwelling radiation, W m-2)
... (49 more variables)


NOAA PMEL TPOS 2017 NRT Saildrone 1006


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). These data have not been Quality Control (QC)?d.  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)
SOG (Speed over ground, m s-1)
... (48 more variables)


NOAA PMEL TPOS 2018 NRT Saildrone 1006


NOAA PMEL TPOS 2018 NRT Saildrone 1029

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). These data have not been Quality Control (QC)?d.  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)
SOG (Speed over ground, m s-1)
... (62 more variables)


NOAA PMEL TPOS 2018 NRT Saildrone 1030


NOAA PMEL TPOS 2019 NRT Saildrone 1066

Summary:
This file contains near-real time data from the Saildrone core MetOcean sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2019 Mission ('Mission 3') to the central equatorial Pacific (0, 140W). These data have not been Quality Control (QC)'d. This was the third 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). Dr. Samantha Wills (UW JISAO) was a postdoctoral fellow with the project, acting as a PI and Mission Manager during this mission. Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2019 Mission (aka Mission 3) had four Saildrones: SD1066, SD1067, SD1068 and SD1069. All were standard Gen 5 drones (but with copper paint), with standard wings, not the large wings used in Mission 2. All had an Acoustic Doppler Current Profiler (ADCP) (not included in this file) and the core MetOcean package. The core CTDs were an RBR in the flowthrough tunnel in the keel and a pumped SBE37 at the outflow of the flowthrough tunnel. In addition, SD1066 and SD1067 had ASVCO2 carbon flux and pH system, a SPN1 shielded shortwave radiometer, and an Eppley longwave radiometer. Carbon system data (including its prawler Conductivity, Temperature, Depth (CTD) data) are served through a separate file. The vehicles were deployed out of Honolulu, HI on 9 June 2019. After performing ADCP bottom track testing on Penguin Bank, the drones proceeded to WHOTS for an intercomparison. On 17 June 2019, SD 1067 returned to shore for servicing. Following its ADCP bottom tracking tested again, on 20 June 2019 all 4 drones began their transit to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W, and then south towards the equator. In addition to intercomparisons against the 0N, 140W TAO buoy, several experiments were performed to survey scales of variability in the equatorial region and the structure of the cold tongue front. An experiment in the InterTropical Convergence Zone (ITCZ) was then performed before returning to Hawaii for a final intercomparison against the WHOTS mooring, a newly deployed PMEL test TELOS surface mooring and test PRAWLER mooring which carried a test Z-Cell ADCP on its bridal. The mission ended on December 20, 2019. All four Saildrones were recovered in Honolulu in early January 2020.

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


NOAA PMEL TPOS 2019 NRT Saildrone 1067


NOAA PMEL TPOS 2019 NRT Saildrone 1068

Summary:
This file contains near-real time data from the Saildrone core MetOcean sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2019 Mission ('Mission 3') to the central equatorial Pacific (0, 140W). These data have not been Quality Control (QC)'d. This was the third 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). Dr. Samantha Wills (UW JISAO) was a postdoctoral fellow with the project, acting as a PI and Mission Manager during this mission. Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2019 Mission (aka Mission 3) had four Saildrones: SD1066, SD1067, SD1068 and SD1069. All were standard Gen 5 drones (but with copper paint), with standard wings, not the large wings used in Mission 2. All had an Acoustic Doppler Current Profiler (ADCP) (not included in this file) and the core MetOcean package. The core CTDs were an RBR in the flowthrough tunnel in the keel and a pumped SBE37 at the outflow of the flowthrough tunnel. In addition, SD1066 and SD1067 had ASVCO2 carbon flux and pH system, a SPN1 shielded shortwave radiometer, and an Eppley longwave radiometer. Carbon system data (including its prawler Conductivity, Temperature, Depth (CTD) data) are served through a separate file. The vehicles were deployed out of Honolulu, HI on 9 June 2019. After performing ADCP bottom track testing on Penguin Bank, the drones proceeded to WHOTS for an intercomparison. On 17 June 2019, SD 1067 returned to shore for servicing. Following its ADCP bottom tracking tested again, on 20 June 2019 all 4 drones began their transit to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W, and then south towards the equator. In addition to intercomparisons against the 0N, 140W TAO buoy, several experiments were performed to survey scales of variability in the equatorial region and the structure of the cold tongue front. An experiment in the InterTropical Convergence Zone (ITCZ) was then performed before returning to Hawaii for a final intercomparison against the WHOTS mooring, a newly deployed PMEL test TELOS surface mooring and test PRAWLER mooring which carried a test Z-Cell ADCP on its bridal. The mission ended on December 20, 2019. All four Saildrones were recovered in Honolulu in early January 2020.

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


NOAA PMEL TPOS 2019 NRT Saildrone 1069


NOAA PMEL TPOS 2021 Saildrone 1065

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 2021 Mission (Mission 4) to the eastern tropical Pacific hurricane genesis region near 10N - 15N, 110W, the near-equatorial Cold Tongue region between 110W - 125W, and the region south of the equator where an Intertropical Convergence Zone (ITCZ) sometimes forms. These data have not been Quality Control (QC)'d.  This mission was funded in part by NOAA/OMAO and NOAA/National Ocean Partnership Program (NOPP) as a demonstration project to test saildrone as a research and operational platform for the Tropical Pacific Observing System (TPOS). The PIs were Dr. Meghan Cronin (NOAA/PMEL), Dr. Dongxiao Zhang, and Dr. Samantha Wills (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW/CICOES), Dr. Adrienne Sutton, Mr. Christian Meinig, and Eugene Burger (all NOAA/PMEL), Dr. Yolande Serra (UW/CICOES), Dr. Avichal Mehra (NOAA/NCEP/EMC), Karen Grissom (NOAA/National Data Buoy Center (NDBC)), and Dr. Eric Lindstrom (Saildrone, Inc).  Dr. Meghan Cronin was the lead PI for the project. Drs. Samantha Wills and Dongxiao Zhang acted as Mission Managers during this mission. Mr. Nathan Anderson (UW/CICOES) contributed to the metadata creation.  The PMEL TPOS 2021 Mission (aka Mission 4) had two Saildrones: SD1065 and SD1066.  Both were standard Gen 6 Explorer drones, with an Acoustic Doppler Current Profiler (ADCP) at 1.86m (not included in this file) and the core MetOcean package.  The core CTD was an SBE 37-SMP at 1.54m, with an auxiliary SBE prawler at 0.62m and 3x SBE56 T sensors at 0.33m, 0.5m, and 1.03m.  Both SD1065 and SD1066 had an ASVCO2 carbon flux and pH system, an SPN1 shielded shortwave radiometer, and an Eppley longwave radiometer.  Carbon system data (including its prawler Conductivity, Temperature, Depth (CTD) data) are served through a separate file. The vehicles for the 2021 mission were deployed out of San Francisco Bay, CA on 23 July 2021, transiting to the eastern tropical Pacific, where they spent 160 days collecting data. The drones encountered rough seas associated with Tropical Depression Marty, forcing them into "storm mode" for several days before entering the hurricane genesis study region. The drones then proceeded south along the 110W Tropical Atmosphere/Ocean (TAO) mooring line, completing two intercomparisons at the 8N, 110W and 5N, 110W TAO buoys. The drones also sampled the strong meridional Sea Surface Temperature (SST) front separating the warm waters of the northern hemisphere ITCZ from the cold waters of the equatorial Cold Tongue. The drones became separated en route to the equatorial study region due to strong easterly ocean currents, with SD1065 eventually crossing the Equator to survey the southern hemisphere "double" ITCZ regime.  The mission ended in the field on 17 February, 2022, with SD1065 positioned near 8S, 117W and SD1066 positioned near 1N, 130W

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


NOAA PMEL TPOS 2021 Saildrone 1066

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 2021 Mission (Mission 4) to the eastern tropical Pacific hurricane genesis region near 10N - 15N, 110W, the near-equatorial Cold Tongue region between 110W - 125W, and the region south of the equator where an Intertropical Convergence Zone (ITCZ) sometimes forms. These data have not been Quality Control (QC)'d.  This mission was funded in part by NOAA/OMAO and NOAA/National Ocean Partnership Program (NOPP) as a demonstration project to test saildrone as a research and operational platform for the Tropical Pacific Observing System (TPOS). The PIs were Dr. Meghan Cronin (NOAA/PMEL), Dr. Dongxiao Zhang, and Dr. Samantha Wills (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW/CICOES), Dr. Adrienne Sutton, Mr. Christian Meinig, and Eugene Burger (all NOAA/PMEL), Dr. Yolande Serra (UW/CICOES), Dr. Avichal Mehra (NOAA/NCEP/EMC), Karen Grissom (NOAA/National Data Buoy Center (NDBC)), and Dr. Eric Lindstrom (Saildrone, Inc).  Dr. Meghan Cronin was the lead PI for the project. Drs. Samantha Wills and Dongxiao Zhang acted as Mission Managers during this mission. Mr. Nathan Anderson (UW/CICOES) contributed to the metadata creation.  The PMEL TPOS 2021 Mission (aka Mission 4) had two Saildrones: SD1065 and SD1066.  Both were standard Gen 6 Explorer drones, with an Acoustic Doppler Current Profiler (ADCP) at 1.86m (not included in this file) and the core MetOcean package.  The core CTD was an SBE 37-SMP at 1.54m, with an auxiliary SBE prawler at 0.62m and 3x SBE56 T sensors at 0.33m, 0.5m, and 1.03m.  Both SD1065 and SD1066 had an ASVCO2 carbon flux and pH system, an SPN1 shielded shortwave radiometer, and an Eppley longwave radiometer.  Carbon system data (including its prawler Conductivity, Temperature, Depth (CTD) data) are served through a separate file. The vehicles for the 2021 mission were deployed out of San Francisco Bay, CA on 23 July 2021, transiting to the eastern tropical Pacific, where they spent 160 days collecting data. The drones encountered rough seas associated with Tropical Depression Marty, forcing them into "storm mode" for several days before entering the hurricane genesis study region. The drones then proceeded south along the 110W Tropical Atmosphere/Ocean (TAO) mooring line, completing two intercomparisons at the 8N, 110W and 5N, 110W TAO buoys. The drones also sampled the strong meridional Sea Surface Temperature (SST) front separating the warm waters of the northern hemisphere ITCZ from the cold waters of the equatorial Cold Tongue. The drones became separated en route to the equatorial study region due to strong easterly ocean currents, with SD1065 eventually crossing the Equator to survey the southern hemisphere "double" ITCZ regime.  The mission ended in the field on 17 February, 2022, with SD1065 positioned near 8S, 117W and SD1066 positioned near 1N, 130W

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


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. These data have not been Quality Control (QC)'d.  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)
... (74 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. These data have not been Quality Control (QC)'d.  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)
... (70 more variables)


NOAA PMEL TPOS 2023 Saildrone 1030

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. These data have not been Quality Control (QC)'d.  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 1033


NOAA PMEL TPOS 2023 Saildrone 1079


NOAA PMEL TPOS 2024 Saildrone 1033

Summary:
1. Go-USV (Uncrewed Surface Vehicle) sections by a pair of Saildrones with Acoustic Doppler Current Profiler (ADCP), ASVCO2, solar & longwave radiometers, and extra thermistors on hulls, in the Tropical Pacific Observing System (TPOS) along or near ~125W, along the equator, along 140W, and along the North Equatorial Counter Current/InterTropical Convergence Zone (ITCZ) between ~140W and ~125W. 2. Frontal study near 0,140W in coordination with a University of Washington (UW) underwater glider deployed from the MOTIVE (Mixing belOw Tropical Instability waVEs) cruise by Katie Kohlman (UW School of Oceanography). 3. Tests of adaptive sampling techniques that could be incorporated into TPOS.

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)
... (61 more variables)


NOAA PMEL TPOS 2024 Saildrone 1090


NOAA SWFSC 2021 NRT Collection Saildrone

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 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 SWFSC 2021 NRT Saildrone 1059


NOAA SWFSC 2022 Collection Saildrone

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 1076


NOAA SWFSC 2022 Saildrone 1077


NOAA SWFSC 2023 Collection Saildrone

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 1048


NOAA SWFSC 2023 Saildrone 1060


NOAA SWFSC 2023 Saildrone 1096


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


OceanSITES EC1 Deep T/S data

Summary:
Oceanographic subsurface mooring data from EC1 in the East Sea(Japan Sea) from November 2020 to October 2021 (leg 24) provided by SNU. Measured properties: temperature at 200m

cdm_data_type = TimeSeriesProfile
VARIABLES:
site_code (Platform Code)
id (FileName ID)
latitude (degrees_north)
longitude (degrees_east)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
depth (Depth of measurement, m)
PRES (Sea Water Pressure, decibar)
PRES_QC (quality flag for each pressure value)
TEMP (Sea Water Temperature, degree of celcius)
TEMP_QC (quality flag for each temperature value)
PSAL (Sea Water Practical Salinity, practical salinity unit)
PSAL_QC (quality flag for each practical salinity value)
DOX2 (Moles Of Oxygen Per Unit Mass In Sea Water Was Dissolved Oxygen, ml per liter)
DOX2_QC (quality flag for each practical salinity value)


OceanSITES IMOS EAC Deep T/S data

Summary:
The aim of the East Australian Current (EAC) moorings is to capture the mean and time-varying flow of the EAC. This dataset will provide an intensive reference set of measurements of the EAC flow over a sustained period. This mooring was deployed on 19-Apr-2012 and recovered on 28-Aug-2013 at latitude -27.1 and longitude 155.3. Ship data collected during the recovery voyage is available from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) Marine and Atmospheric Research Data Centre. The voyage number is ss2013_v05.

cdm_data_type = TimeSeries
VARIABLES:
site_code (Platform Code)
id (FileName ID)
depth (Depth of each measurement, m)
latitude (Latitude of each location, degrees_north)
longitude (Longitude of each location, degrees_east)
PRES_REL (Sea Water Pressure Due To Sea Water)
PRES_REL_QC
PSAL (Sea Water Salinity, PSU)
PSAL_QC
TEMP (Sea Water Temperature, degree_C)
TEMP_QC (quality flag for sea_water_temperature)
time (seconds since 1970-01-01T00:00:00Z)
ZPOS (actual depth, m)
ZPOS_QC (quality flag for depth)


OceanSITES IRMINGSEA-1 Deep T/S data

Summary:
water temperature and salinity at nominal depth 3014m

cdm_data_type = TimeSeries
VARIABLES:
site_code (Platform Code)
id (FileName ID)
latitude (degrees_north)
longitude (degrees_east)
depth_min (Minimum depth, dbar)
depth_max (dbar)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
TEMP (sea water temperature, degree_Celsius)
CNDC (sea water conductivity, S m-1)
PSAL (sea water salinity, PSU)

Royal Netherlands Institute for Sea Research, NIOZ


OceanSITES IRMINGSEA-2 Deep T/S data

Summary:
water temperature and salinity at nominal depth 3001m

cdm_data_type = TimeSeries
VARIABLES:
site_code (Platform Code)
id (FileName ID)
latitude (degrees_north)
longitude (degrees_east)
depth_min (Minimum depth, dbar)
depth_max (dbar)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
TEMP (sea water temperature, degree_Celsius)
CNDC (sea water conductivity, S m-1)
PSAL (sea water salinity, PSU)


OceanSITES Keo Flux hourly data

Summary:
OceanSITES hourly in-situ data. OceanSites KEO Flux data. NOAA/PMEL/OCS data from a local source.

cdm_data_type = TimeSeries
VARIABLES:
wmo_platform_code
site_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)
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)
TSK (Skin Temperature, degree_Celsius)
TWRM (Warm Layer Correction Relative To Foundation Sst, degree_Celsius)
TCL (Cool Skin Correction, degree_Celsius)
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)
BUOYANCY_FLUX (kg s-1 m-2)
FLUX_QC (quality flag)
FLUX_DM (method of data processing)


OceanSITES KEO in-situ data: Hourly High Resolution Data (KEO OceanSITES long timeseries data)

Summary:
OceanSITES KEO in-situ data: Hourly High Resolution Data. KEO long timeseries sub-surface data

cdm_data_type = TimeSeriesProfile
VARIABLES:
profile_id
wmo_platform_code
site_code
time (seconds since 1970-01-01T00:00:00Z)
depth (Depth of each measurement, m)
latitude (Latitude of each location, degrees_north)
longitude (Longitude of each location, degrees_east)
PRES_DM (method of data processing)
PSAL_DM (method of data processing)
TEMP_DM (method of data processing)
PRES (water pressure, observed and calculated, decibar)
PRES_QC (quality flag)
PSAL (salinity, PSU)
PSAL_QC (quality flag)
TEMP (temperature, degree_Celsius)
TEMP_QC (quality flag)


OceanSITES Mooring data from site MOVE1

Summary:
Oceanographic data collected by the MOVE project in the tropical Atlantic. Measured properties: conductivity, temperature, and pressure. Derived property: salinity.

cdm_data_type = TimeSeriesProfile
VARIABLES:
site_code (Platform Code)
id (FileName ID)
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
PRES (sea water pressure, dbar)
PRES_QC (quality flag)
TEMP (sea water temperature, degree_Celsius)
TEMP_QC (quality flag)
PSAL (sea water practical salinity, 1)
PSAL_QC (quality flag)
CNDC (sea water electrical conductivity, mho/m)
CNDC_QC (quality flag)


OceanSITES Mooring data from site MOVE2


OceanSITES Mooring data from site MOVE3


OceanSITES Mozambique Channel deep T/S data

Summary:
water temperature and salinity at nominal depths 625, 1025, 2125 m

cdm_data_type = TimeSeriesProfile
VARIABLES:
site_code (Platform Code)
id (FileName ID)
latitude (degrees_north)
longitude (degrees_east)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
depth (Depth of measurement (instrument depth), m)
PRES (pressure of each measurement, decibar)
TEMP (sea water temperature, degree_Celsius)
CNDC (sea water conductivity, S m-1)
PSAL (sea water salinity, PSU)


OceanSITES NOG Deep T/S data

Summary:
FixO3 Fixed-point Open Ocean ObservatoriesEU Framework 7 programme (FP7/2007-2013) grant agreement No.312463

cdm_data_type = TimeSeries
VARIABLES:
site_code (Platform Code)
id (FileName ID)
latitude (degrees_north)
longitude (degrees_east)
time (seconds since 1970-01-01T00:00:00Z)
depth (Depth of each measurement, m)
TEMP (Temperature, degree_Celsius)
TEMP_QC (quality flag for Temperature in Degrees Celsius at nominal depths of 4265 meter(s))
CNDC (sea water electrical conductivity, mS/cm)
CNDC_QC (quality flag for Conductivity in mS/cm at nominal depths of 4265 meter(s))
PSAL (sea water salinity, 1)
PSAL_QC (quality flag for Practical PSAL Units for each nominal depth(s) of 4265 meter(s))
PRES (Sea Water Pressure, decibar)
PRES_QC (quality flag for PRES (dbar) at nominal depths of 4265 meter(s))


OceanSITES NTAS mooring Deep T/S data

Summary:
Delayed mode salinity data from the Woods Hole Oceanographic Institution (WHOI)-UOP Ocean Reference Station deployed at the NTAS site in 2020 by Albert Plueddemann

cdm_data_type = TimeSeriesProfile
VARIABLES:
site_code (Platform Code)
id (FileName ID)
latitude (degrees_north)
longitude (degrees_east)
time (seconds since 1970-01-01T00:00:00Z)
depth (measurement depth, m)
TEMP (sea water temperature, degree_C)
CNDC (sea water electrical conductivity, S m-1)
PSAL (sea water practical salinity, 1)
PRES (sea water pressure, dbar)
INST (instrument model)
INST_MFGR (instrument manufacturer)
INST_SeaVoX_L22_code (instrument SeaVoX L22 code)
INST_SN (instrument serial number, 1)
INST_URL (instrument reference URL)
INST_MOUNT (instrument mount)


OceanSITES PAP Deep T/S data

Summary:
FixO3 Fixed-point Open Ocean ObservatoriesEU Framework 7 programme (FP7/2007-2013) grant agreement No.312463

cdm_data_type = TimeSeries
VARIABLES:
site_code (Platform Code)
id (FileName ID)
latitude (degrees_north)
longitude (degrees_east)
time (seconds since 1970-01-01T00:00:00Z)
depth (Depth of each measurement, m)
TEMP (Temperature, degree_Celsius)
TEMP_QC (quality flag for Temperature in Degrees Celsius at nominal depths of 4850 meter(s))
CNDC (sea water electrical conductivity, mS/cm)
CNDC_QC (quality flag for Conductivity in mS/cm at nominal depths of 4850 meter(s))
PSAL (sea water salinity, 0.001)
PSAL_QC (quality flag for Practical PSAL Units for each nominal depth(s) of 4850 meter(s))
PRES (Sea Water Pressure, decibar)
PRES_QC (quality flag for PRES (dbar) at nominal depths of 4850 meter(s))


OceanSITES PAPA Deep T/S

Summary:
This file contains hourly resolution delayed-mode in-situ data from the deep SBE instrument on the OceanSITES Station PAPA (nominally 50.1N, 144.9W) 2021 (PA015) deployment.

cdm_data_type = TimeSeries
VARIABLES:
site_code (Platform Code)
id (FileName ID)
time (seconds since 1970-01-01T00:00:00Z)
latitude (Anchor Latitude, degrees_north)
longitude (Anchor Longitude, degrees_east)
depth (Depth of each measurement, m)
TEMP (sea water temperature in-situ ITS-90 scale, degree_Celsius)
TEMP_QC (quality flag)
PRES (sea water pressure, decibar)
PRES_QC (quality flag)
CNDC (sea water conductivity, S/m)
CNDC_QC (quality flag)
DENS (sigma-theta (potential density adjusted to 4000 dbar), kg m-3)
DENS_QC (quality flag)
PSAL (sea water salinity, 1)
PSAL_QC (quality flag)


OceanSITES Papa Flux hourly data

Summary:
OceanSITES hourly in-situ data. OceanSites PAPA Flux data. NOAA/PMEL/OCS data from a local source.

cdm_data_type = TimeSeries
VARIABLES:
wmo_platform_code
site_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)
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)
TSK (Skin Temperature, degree_Celsius)
TWRM (Warm Layer Correction Relative To Foundation Sst, degree_Celsius)
TCL (Cool Skin Correction, degree_Celsius)
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)
BUOYANCY_FLUX (kg s-1 m-2)
FLUX_QC (quality flag)
FLUX_DM (method of data processing)


OceanSITES Papa hourly PSAL in-situ data (OceanSITES Papa daily in-situ data)

Summary:
OceanSITES Papa daily in-situ data. This file contains hourly real-time and delayed-mode in-situ data from station Papa at 50N,145W in the North Pacific. This taut-line mooring has been instrumented with upper ocean and surface sensors since June 2007. Included in this file are sea temperatures from the surface to 300 meters depth, salinity and density (sigma-theta) from the surface to 200m depth, sea currents at 5m, 34m, and 35m depth, acoustic doppler profiles of zonal and meridional ocean current to from 28 to 160 meters depth, and a variety of surface observations for net air-sea fluxes of heat, moisture, and momentum including winds, solar and longwave radiation, rain, air temperature, relative humidity, and barometric pressure. Variables observed at rates other than 1 hour can be found in separate high resolution files.

cdm_data_type = TimeSeriesProfile
VARIABLES:
profile_id
time (seconds since 1970-01-01T00:00:00Z)
latitude (Latitude of each location, degrees_north)
longitude (Longitude of each location, degrees_east)
depth (Depth of each measurement, m)
PSAL (salinity, PSU)
PSAL_QC (quality flag)
PSAL_DM (method of data processing)
wmo_platform_code
site_code (mooring site code)


OceanSITES Papa hourly TEMP in-situ data

Summary:
This file contains hourly real-time and delayed-mode in-situ data from station Papa at 50N,145W in the North Pacific. This taut-line mooring has been instrumented with upper ocean and surface sensors since June 2007. Included in this file are sea temperatures from the surface to 300 meters depth, salinity and density (sigma-theta) from the surface to 200m depth, sea currents at 5m, 34m, and 35m depth, acoustic doppler profiles of zonal and meridional ocean current to from 28 to 160 meters depth, and a variety of surface observations for net air-sea fluxes of heat, moisture, and momentum including winds, solar and longwave radiation, rain, air temperature, relative humidity, and barometric pressure. Variables observed at rates other than 1 hour can be found in separate high resolution files.

cdm_data_type = TimeSeriesProfile
VARIABLES:
wmo_platform_code
site_code (mooring site code)
time (seconds since 1970-01-01T00:00:00Z)
latitude (Latitude of each location, degrees_north)
longitude (Longitude of each location, degrees_east)
depth (Depth of each measurement, m)
profile_id
TEMP (temperature, degree_Celsius)
TEMP_QC (quality flag)
TEMP_DM (method of data processing)


OceanSITES PIRATA hourly PSAL in-situ data

Summary:
OceanSITES hourly in-situ dat. OceanSITES Pilot Research Moored Array in the Tropical Atlantic (PIRATA) hourly PSAL in-situ data

cdm_data_type = TimeSeriesProfile
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (Latitude of each location, degrees_north)
longitude (Longitude of each location, degrees_east)
wmo_platform_code
site_code (mooring site code)
profile_id
depth (Depth of each measurement, m)
PSAL (salinity, PSU)
PSAL_QC (quality flag)
PSAL_DM (method of data processing)


OceanSITES PIRATA hourly TEMP in-situ data

Summary:
This file contains hourly real-time and delayed-mode in-situ 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 sea temperatures from the surface to 500 meters at most sites and deeper at others, salinity and potential density (sigma-theta) at the sea surface and deeper at some sites, sea currents at 10m depth and deeper at some sites, a variety of surface observations including winds, air temperature, relative humidity, shortwave solar radiation, longwave radiation, rain rate and, barometric pressure.

cdm_data_type = TimeSeriesProfile
VARIABLES:
wmo_platform_code
site_code (mooring site code)
time (seconds since 1970-01-01T00:00:00Z)
latitude (Latitude of each location, degrees_north)
longitude (Longitude of each location, degrees_east)
profile_id
depth (Depth of each measurement, m)
TEMP (temperature, degree_Celsius)
TEMP_QC (quality flag)
TEMP_DM (method of data processing)


OceanSITES RAMA hourly PSAL in-situ data

Summary:
OceanSITES hourly in-situ dat. Number of Observations for OceanSITES Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (RAMA) hourly PSAL in-situ data

cdm_data_type = TimeSeriesProfile
VARIABLES:
wmo_platform_code
site_code (mooring site code)
profile_id
time (seconds since 1970-01-01T00:00:00Z)
latitude (Latitude of each location, degrees_north)
longitude (Longitude of each location, degrees_east)
depth (Depth of each measurement, m)
PSAL (salinity, PSU)
PSAL_QC (quality flag)
PSAL_DM (method of data processing)