Easier access to scientific data

Brought to you by NOAA NMFS SWFSC ERD    

ERDDAP > griddap > Make A Graph ?

Dataset Title:  OISST-V2-AVHRR Daily 1/4 degree By time, depth, latitude, longitude   RSS
Institution:  NOAA/NCEI   (Dataset ID: ncdc_oisst_v2_avhrr_by_time_zlev_lat_lon)
Information:  Summary ? | License ? | Metadata | Background | Data Access Form
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    |< -
< <
depth (m) ?     specify just 1 value →
< <
latitude (degrees_north) ?
< slider >
longitude (degrees_east) ?
< slider >
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
(Please be patient. It may take a while to get the data.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
[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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5828912e+9, 1.7175888e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "Forecast time for ForecastModelRunCollection";
    Float64 missing_value NaN;
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.0, 0.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.875, 89.875;
    String axis "Y";
    String grids "Uniform grid from -89.875 to 89.875 by 0.25";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.125, 359.875;
    String axis "X";
    String grids "Uniform grid from 0.125 to 359.875 by 0.25";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  ice {
    Int32 _ChunkSizes 1, 1, 720, 1440;
    String coordinates "time_run time zlev lat lon";
    String long_name "Sea ice concentration";
    String units "%";
  err {
    Int32 _ChunkSizes 1, 1, 720, 1440;
    String coordinates "time_run time zlev lat lon";
    String long_name "Estimated error standard deviation of analysed_sst";
    String units "Celsius";
  anom {
    Int32 _ChunkSizes 1, 1, 720, 1440;
    String coordinates "time_run time zlev lat lon";
    String long_name "Daily sea surface temperature anomalies";
    String units "Celsius";
  sst {
    Int32 _ChunkSizes 1, 1, 720, 1440;
    String coordinates "time_run time zlev lat lon";
    String long_name "Daily sea surface temperature";
    String units "Celsius";
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String cdm_data_type "Grid";
    String comment "Data was converted from NetCDF-3 to NetCDF-4 format with metadata updates in November 2017.";
    String Conventions "CF-1.4, ACDD-1.3";
    String creator_email "";
    String creator_url "";
    String date_created "2024-06-19T09:12:00Z";
    String date_modified "2024-06-19T09:12:00Z";
    Float64 Easternmost_Easting 359.875;
    Float64 geospatial_lat_max 89.875;
    Float64 geospatial_lat_min -89.875;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.875;
    Float64 geospatial_lon_min 0.125;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String history 
"Final file created using preliminary as first guess, and 3 days of AVHRR data. Preliminary uses only 1 day of AVHRR data. ;
FMRC Best Dataset
    String id "";
    String infoUrl "";
    String institution "NOAA/NCEI";
    String instrument "Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers > Imaging Spectrometers/Radiometers > AVHRR > Advanced Very High Resolution Radiometer";
    String instrument_vocabulary "Global Change Master Directory (GCMD) Instrument Keywords";
    String keywords "Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature";
    String keywords_vocabulary "Global Change Master Directory (GCMD) Earth 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.";
    String location "Proto fmrc:OISST_Daily_AVHRR-only_Feature_Collection";
    String metadata_link "";
    String naming_authority "gov.noaa.ncei";
    String ncei_template_version "NCEI_NetCDF_Grid_Template_v2.0";
    Float64 Northernmost_Northing 89.875;
    String platform "Ships, buoys, Argo floats, MetOp-A, MetOp-B";
    String platform_vocabulary "Global Change Master Directory (GCMD) Platform Keywords";
    String processing_level "NOAA Level 4";
    String product_version "Version v02r01";
    String references "Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at Huang et al. (2020) Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version v02r01, submitted.Climatology is based on 1971-2000 OI.v2 SST. Satellite data: Pathfinder AVHRR SST, Navy AVHRR SST, and NOAA ACSPO SST. Ice data: NCEP Ice and GSFC Ice.";
    String sensor "Thermometer, AVHRR";
    String source "ICOADS, NCEP_GTS, GSFC_ICE, NCEP_ICE, Pathfinder_AVHRR, Navy_AVHRR, NOAA_ACSP";
    String sourceUrl "";
    Float64 Southernmost_Northing -89.875;
    String standard_name_vocabulary "CF Standard Name Table (v40, 25 January 2017)";
    String summary "OISST-V2-AVHRR Daily 1/4 degree Dimensioned By time, depth, latitude, longitude.";
    String time_coverage_end "2024-06-05T12:00:00Z";
    String time_coverage_start "2020-02-28T12:00:00Z";
    String title "OISST-V2-AVHRR Daily 1/4 degree By time, depth, latitude, longitude";
    Float64 Westernmost_Easting 0.125;


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.

griddap request URLs must be in the form{?query}
For example,[(2007-10-21T00:00:00)][0][(-75):100:(75)][(180):100:(360)]
Thus, the query is often a data variable name (e.g., sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][altitude][latitude][longitude]).

For details, see the griddap Documentation.

ERDDAP, Version 2.23
Disclaimers | Privacy Policy | Contact