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Dataset Title:  PMEL Atmospheric Chemistry ATOMIC AOD data Subscribe RSS
Institution:  NOAA PMEL Atmospheric Chemistry   (Dataset ID: EUREC4A_ATOMIC_RonBrown_PMEL_AOD_v1)
Range: longitude = -59.6377 to -50.9335°E, latitude = 12.9995 to 15.6869°N, time = 2020-01-07T18:08:00Z to 2020-02-09T19:26:00Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
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Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")
 
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(Please be patient. It may take a while to get the data.)
 
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    Click on the map to specify a new center point. ?
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[The graph you specified. Please be patient.]

 

Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.57842048e+9, 1.58127636e+9;
    String axis "T";
    String calendar "gregorian";
    Float64 colorBarMaximum 1.582e+9;
    Float64 colorBarMinimum 1.578e+9;
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  trajectory_id {
    String cf_role "trajectory_id";
    String ioos_category "Identifier";
    String long_name "trajectory id";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue -1.0e+34;
    Float64 actual_range 12.9995, 15.6869;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String epic_code "500";
    String instrument "GPS";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_max 90.0;
    Float64 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue -1.0e+34;
    Float64 actual_range -59.6377, -50.9335;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String epic_code "502";
    String instrument "GPS";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_max 180.0;
    Float64 valid_min -180.0;
  }
  aod_380 {
    Float64 _FillValue -1.0e+34;
    Float64 actual_range 0.064704, 0.725204;
    Float64 colorBarMaximum 0.8;
    Float64 colorBarMinimum 0.0;
    String epic_code "1881";
    String instrument "Microtops sunphotometer (sn: 3803)";
    String ioos_category "Optical Properties";
    String long_name "Aerosol Optical Depth at 380nm";
    Float64 missing_value -999.0;
    String source "surface observation";
    String standard_name "atmosphere_absorption_optical_thickness_due_to_ambient_aerosol_particles";
    String uncertainty "+/- 0.015";
    String units "1";
  }
  aod_440 {
    Float64 _FillValue -1.0e+34;
    String epic_code "1882";
    String instrument "Microtops sunphotometer (sn: 3803)";
    String ioos_category "Optical Properties";
    String long_name "Aerosol Optical Depth at 440nm";
    Float64 missing_value -999.0;
    String source "surface observation";
    String standard_name "atmosphere_absorption_optical_thickness_due_to_ambient_aerosol_particles";
    String uncertainty "+/- 0.015";
    String units "1";
  }
  aod_500 {
    Float64 _FillValue -1.0e+34;
    Float64 actual_range 0.046797, 0.662429;
    Float64 colorBarMaximum 0.8;
    Float64 colorBarMinimum 0.0;
    String epic_code "1883";
    String instrument "Microtops sunphotometer (sn: 3803)";
    String ioos_category "Optical Properties";
    String long_name "Aerosol Optical Depth at 500nm";
    Float64 missing_value -999.0;
    String source "surface observation";
    String standard_name "atmosphere_absorption_optical_thickness_due_to_ambient_aerosol_particles";
    String uncertainty "+/- 0.015";
    String units "1";
  }
  aod_675 {
    Float64 _FillValue -1.0e+34;
    Float64 actual_range 0.034746, 0.586838;
    Float64 colorBarMaximum 0.6000000000000001;
    Float64 colorBarMinimum 0.0;
    String epic_code "1884";
    String instrument "Microtops sunphotometer (sn: 3803)";
    String ioos_category "Optical Properties";
    String long_name "Aerosol Optical Depth at 675nm";
    Float64 missing_value -999.0;
    String source "surface observation";
    String standard_name "atmosphere_absorption_optical_thickness_due_to_ambient_aerosol_particles";
    String uncertainty "+/- 0.015";
    String units "1";
  }
  aod_870 {
    Float64 _FillValue -1.0e+34;
    Float64 actual_range 0.030069, 0.526582;
    Float64 colorBarMaximum 0.6000000000000001;
    Float64 colorBarMinimum 0.0;
    String epic_code "1885";
    String instrument "Microtops sunphotometer (sn: 3803)";
    String ioos_category "Optical Properties";
    String long_name "Aerosol Optical Depth at 870nm";
    Float64 missing_value -999.0;
    String source "surface observation";
    String standard_name "atmosphere_absorption_optical_thickness_due_to_ambient_aerosol_particles";
    String uncertainty "+/- 0.015";
    String units "1";
  }
  air_mass {
    Float64 _FillValue -1.0e+34;
    Float64 actual_range 1.16113, 11.6678;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String epic_code "1879";
    String instrument "Microtops sunphotometer (sn: 3803)";
    String ioos_category "Physical Oceanography";
    String long_name "Integrated Air Density Along Solar Ray Path";
    Float64 missing_value -999.0;
    String source "surface observation";
    String units "atm";
  }
 }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.4,hdf5=1.10.6";
    String cdm_data_type "Trajectory";
    String cdm_trajectory_variables "trajectory_id";
    String comment "A handheld Microtops sunphotometer (Solar Light Co.) was used for the measurement of AOD at wavelengths of 380, 440, 500, 675, and 870 nm. For information on data processing please see https://aeronet.gsfc.nasa.gov/new_web/man_data.html";
    String contributor_name "Coffman, Derek;Johnson, James;Quinn, Patricia;Bates, Tim;Upchurch, Lucia";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "james.e.johnson@noaa.gov";
    String creator_name "Johnson, James";
    String creator_url "https://saga.pmel.noaa.gov";
    String date_created "2020-11-30T17:17:18Z";
    Float64 Easternmost_Easting -50.9335;
    String featureType "Trajectory";
    Float64 geospatial_lat_max 15.6869;
    Float64 geospatial_lat_min 12.9995;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -50.9335;
    Float64 geospatial_lon_min -59.6377;
    String geospatial_lon_units "degrees_east";
    String history 
"file created by NOAA/PMEL/ACG
2024-12-10T12:24:16Z (local files)
2024-12-10T12:24:16Z https://data.pmel.noaa.gov/pmel/tabledap/EUREC4A_ATOMIC_RonBrown_PMEL_AOD_v1.das";
    String infoUrl "https://saga.pmel.noaa.gov";
    String institution "NOAA PMEL Atmospheric Chemistry";
    String keywords "380nm, 440nm, 500nm, 675nm, 870nm, absorption, aerosol, air, air_mass, along, ambient, aod, aod_380, aod_440, aod_500, aod_675, aod_870, atmosphere, atmosphere_absorption_optical_thickness_due_to_ambient_aerosol_particles, atmospheric, atomic, chemistry, data, density, depth, due, environmental, identifier, integrated, laboratory, latitude, longitude, marine, noaa, oceanography, optical, optical properties, pacific, particles, path, physical, physical oceanography, pmel, properties, ray, solar, thickness, time, trajectory, trajectory_id";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, ERD, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information.";
    Float64 Northernmost_Northing 15.6869;
    String platform "RHBrown";
    String product_version "1";
    String project "ATOMIC";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 12.9995;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "trajectory_id";
    String summary "ATOMIC (Atlantic Tradewind Ocean Atmosphere Mesoscale Interaction Campaign) 2020 Field campaign: Surface meteorological and ship navigation collected from the RV Ronald H. Brown by the National Oceanic and Atmospheric Administration (NOAA) Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Group in the tropical North Atlantic ocean from 2020-01-09 to 2020-02-13";
    String time_coverage_end "2020-02-09T19:26:00Z";
    String time_coverage_start "2020-01-07T18:08:00Z";
    String title "PMEL Atmospheric Chemistry ATOMIC AOD data";
    Float64 Westernmost_Easting -59.6377;
    Float64 Westernnmost_Easting -59.6377;
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
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