Data Access Form

Dataset Title:	Aquarius Level 3 Wind Speed Standard Mapped Image Monthly Data V3.0
Institution:	NASA JPL PODAAC (Dataset ID: Aquarius_V3_scat_wind_speed_Monthly)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Make a graph

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Dimensions	Size	Spacing
time (UTC)	45	30 days 10h 21m 49s (uneven)

latitude (degrees_north)	180	-1.0 (even)

longitude (degrees_east)	360	1.0 (even)

Grid Variables (which always also download all of the dimension variables)

scat_wind_speed (Surface Winds, m.s-1)

File type: (more information)

(Documentation / Bypass this form)

(Please be patient. It may take a while to get the data.)

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.3122e+9, 1.4278896e+9;
    String axis "T";
    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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range -89.0, 90.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -180.0, 179.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  scat_wind_speed {
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    Float32 Intercept 0.0;
    String ioos_category "Wind";
    String long_name "Surface Winds";
    String Scaling "linear";
    String Scaling_Equation "(Slope*l3m_data) + Intercept = Parameter value";
    Float32 Slope 1.0;
    String standard_name "wind_speed";
    String units "m.s-1";
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.internal.dataset.conv.CF1Convention";
    String _lastModified "2014145045448000";
    String cdm_data_type "Grid";
    String contributor_name "Frank Wentz, Simon Yueh, Gary Lagerloef";
    String contributor_role "Data Providers";
    String Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String creator_email "podaac@podaac.jpl.nasa.gov";
    String creator_name "NASA JPL, PODAAC";
    String creator_url "https://podaac.jpl.nasa.gov";
    Int32 Data_Bins 0;
    Byte Data_Center 0;
    Float32 Data_Maximum 50.0;
    Float32 Data_Minimum 0.0;
    String date_issued "2014-05-30";
    Float64 Easternmost_Easting 179.0;
    Float32 Easternmost_Longitude 180.0;
    Int16 End_Day 244;
    Int32 End_Millisec 5416647;
    Int32 End_Orbit 0;
    String End_Time "2011244013016647";
    Int16 End_Year 2011;
    Float64 geospatial_lat_max 90.0;
    Float64 geospatial_lat_min -89.0;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.0;
    Float64 geospatial_lon_min -180.0;
    Float64 geospatial_lon_resolution 1.0;
    String geospatial_lon_units "degrees_east";
    String history 
"2023-05-31T03:23:22Z (local files)
2023-05-31T03:23:22Z http://erddap.axiomdatascience.com/erddap/griddap/Aquarius_V3_scat_wind_speed_Monthly.das";
    String infoUrl "https://podaac.jpl.nasa.gov";
    String Input_Files "Q20112132011243.L3b_MO_SCI_V3.0.main";
    String Input_Parameters "IFILE = Q20112132011243.L3b_MO_SCI_V3.0.main|OFILE = Q20112132011243.L3m_MO_SCI_V3.0_scat_wind_speed_1deg|PFILE = |PROD = scat_wind_speed|PALFILE = DEFAULT|PROCESSING VERSION = V3.0|MEAS = 1|STYPE = 0|DATAMIN = 0.000000|DATAMAX = 0.000000|LONWEST = -180.000000|LONEAST = 180.000000|LATSOUTH = -90.000000|LATNORTH = 90.000000|RESOLUTION = 1deg|PROJECTION = RECT|GAP_FILL = 2|SEAM_LON = -180.000000|PRECISION=F";
    String institution "NASA JPL PODAAC";
    Float32 Intercept 0.0;
    String keywords "aquarius, atmosphere, atmospheric, data, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Oceans > Ocean Winds > Surface Winds, image, jpl, level, mapped, monthly, nasa, ocean, oceans, podaac, speed, standard, surface, v3.0, wind, wind_speed, winds";
    String keywords_vocabulary "GCMD Science Keywords";
    Byte L2_Flag_Names 0;
    Float32 Latitude_Step 1.0;
    String Latitude_Units "degrees North";
    String license "Please provide acknowledgement of the use of PO.DAAC data products, images, and services in publications or presentations. It is important for NASA, it’s Missions and our science data product providers and partners. For additional citation information see https://podaac.jpl.nasa.gov/CitingPODAAC";
    Float32 Longitude_Step 1.0;
    String Longitude_Units "degrees East";
    String Map_Projection "Equidistant Cylindrical";
    String Measure "Mean";
    String Metadata_Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String Metadata_Link "https://podaac.jpl.nasa.gov/dataset/AQUARIUS_L3_WIND_SPEED_SMI_DAILY_V3";
    String Mission "SAC-D Aquarius";
    String Mission_Characteristics "Nominal orbit: inclination=98.0 (Sun-synchronous); node=6PM (ascending); eccentricity=<0.002; altitude=657 km; ground speed=6.825 km/sec";
    Float32 Northernmost_Latitude 90.0;
    Float64 Northernmost_Northing 90.0;
    Int32 Number_of_Columns 360;
    Int32 Number_of_Lines 180;
    Int32 Orbit 0;
    String Parameter "Scatterometer Wind Speed";
    Int16 Period_End_Day 0;
    Int16 Period_End_Year 0;
    Int16 Period_Start_Day 0;
    Int16 Period_Start_Year 0;
    String Processing_Control "smigen par=Q20112132011243.L3m_MO_SCI_V3.0_scat_wind_speed_1deg.param";
    String processing_level "L3 V3.0 data processing is described in ftp://podaac-ftp.jpl.nasa.gov/allData/aquarius/docs/v3/AQ-010-UG-0008_AquariusUserGuide_DatasetV3.0.pdf";
    String Processing_Time "2014145045448000";
    String Processing_Version "V3.0";
    String Product_Name "Q20112132011243.L3m_MO_SCI_V3.0_scat_wind_speed_1deg";
    Byte Product_Type 0;
    String project "Aquarius/SAC-D Mission";
    String publisher_email "podaac@podaac.jpl.nasa.gov";
    String publisher_name "NASA Jet Propulsion Laboratory, Physical Oceanography Distributed Active Archive Center";
    String publisher_url "podaac.jpl.nasa.gov";
    String Scaling "linear";
    String Scaling_Equation "(Slope*l3m_data) + Intercept = Parameter value";
    String Sensor "Aquarius";
    Byte Sensor_Characteristics 0;
    Byte Sensor_Name 0;
    Float32 Slope 1.0;
    String Software_Name "smigen";
    String Software_Version "4.45";
    String sourceUrl "(local files)";
    Float32 Southernmost_Latitude -90.0;
    Float64 Southernmost_Northing -89.0;
    String standard_name_vocabulary "CF Standard Name Table V26";
    Int16 Start_Day 237;
    Int32 Start_Millisec 6328018;
    Int32 Start_Orbit 0;
    String Start_Time "2011237014528018";
    Int16 Start_Year 2011;
    Float32 Station_Latitude 0.0;
    Float32 Station_Longitude 0.0;
    Byte Station_Name 0;
    String Suggested_Image_Scaling_Applied "No";
    Float32 Suggested_Image_Scaling_Maximum 20.0;
    Float32 Suggested_Image_Scaling_Minimum 0.0;
    String Suggested_Image_Scaling_Type "LINEAR";
    String summary "Aquarius Level 3 ocean surface wind speed standard mapped image data contains gridded 1 degree spatial resolution wind speed data averaged over daily, 7 day, monthly, and seasonal time scales. This particular data set is the Daily wind speed product for version 3.0 of the Aquarius data set, which is the official second release of the operational data from AQUARIUS/SAC-D mission. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.";
    Float32 SW_Point_Latitude -89.5;
    Float32 SW_Point_Longitude -179.5;
    String time_coverage_end "2015-04-01T12:00:00Z";
    String time_coverage_start "2011-08-01T12:00:00Z";
    String Title " Level-3 Standard Mapped Image";
    String title "Aquarius Level 3 Wind Speed Standard Mapped Image Monthly Data V3.0";
    String Units "m s-1";
    Float64 Westernmost_Easting -180.0;
    Float32 Westernmost_Longitude -180.0;
  }
}

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its projection 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.

(easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.