Easier access to scientific data
log in    
Brought to you by NOAA NMFS SWFSC ERD    

ERDDAP > griddap > Make A Graph ?

Dataset Title:  Global SST & Sea Ice Analysis, L4 OSTIA, UK Met Office, Global, 0.05°, Daily,
Subscribe RSS
Institution:  UKMO   (Dataset ID: jplUKMO_OSTIAv20)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
Dimensions ?    Start ?    Stop ?
time (UTC) ?     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:   Ascending: 
(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 1.3668912e+9, 1.5214608e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "reference time of sst field";
    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";
    Float32 actual_range -89.975, 89.975;
    String axis "Y";
    String comment "Latitude geographical coordinates,WGS84 projection";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -179.975, 179.975;
    String axis "X";
    String comment "Longitude geographical coordinates,WGS84 projection";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  analysed_sst {
    Float32 _FillValue -327.68;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String comment "OSTIA foundation SST";
    String ioos_category "Temperature";
    String long_name "analysed sea surface temperature";
    String references "C.J. Donlon, M. Martin, J.D. Stark, J. Roberts-Jones, E. Fiedler, W. Wimmer. The operational sea surface temperature and sea ice analysis (OSTIA) system. Remote Sensing Environ., 116 (2012), pp. 140u2013158";
    String standard_name "sea_surface_foundation_temperature";
    String units "degree_C";
    Float32 valid_max 44.999992;
    Float32 valid_min -3.0000062;
  analysis_error {
    Float32 _FillValue -327.68;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String comment "OSTIA foundation SST analysis standard deviation error";
    String ioos_category "Statistics";
    String long_name "estimated error standard deviation of analysed_sst";
    String standard_name "sea_surface_temperature_error";
    String units "degree_C";
    Float32 valid_max NaN;
    Float32 valid_min 0.0;
  sea_ice_fraction {
    Float32 _FillValue -1.28;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String comment "Sea ice area fraction";
    String ioos_category "Ice Distribution";
    String long_name "sea ice area fraction";
    String source "EUMETSAT OSI-SAF";
    String standard_name "sea_ice_area_fraction";
    String units "1";
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  mask {
    Byte _FillValue -128;
    String _Unsigned "false";
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum 0.0;
    String comment "Land/ open ocean/ sea ice /lake mask";
    Byte flag_masks 1, 2, 4, 8, 16;
    String flag_meanings "water land optional_lake_surface sea_ice optional_river_surface";
    String ioos_category "Ice Distribution";
    String long_name "land sea ice lake bit mask";
    String source "NAVOCEANO_landmask_v1.0 EUMETSAT_OSI-SAF_icemask ARCLake_lakemask";
    String standard_name "land_binary_mask";
    Byte valid_max 31;
    Byte valid_min 1;
    String acknowledgement "Please acknowledge the use of these data with the following statement: These data were provided by GHRSST, UKMO and MyOcean";
    String cdm_data_type "Grid";
    String comment "WARNING Some applications are unable to properly handle signed byte values. If values are encountered > 127, please subtract 256 from this reported value";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "";
    String creator_name "UKMO as part of MyOcean";
    String creator_type "institution";
    String creator_url "";
    String date_created "2015-12-18T06:04:34Z";
    Float64 Easternmost_Easting 179.975;
    String gds_version_id "2.4";
    Float64 geospatial_lat_max 89.975;
    Float64 geospatial_lat_min -89.975;
    Float64 geospatial_lat_resolution 0.049999999999999996;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.975;
    Float64 geospatial_lon_min -179.975;
    Float64 geospatial_lon_resolution 0.049999999999999996;
    String geospatial_lon_units "degrees_east";
    String history 
"Created from sst:temperature from /critical/fpos2/cylc-run/mi-af228/share/cycle/20151218T0000Z/ostia/; error:/critical/fpos2/cylc-run/mi-af228/share/cycle/20151218T0000Z/ostia/; sea ice:/critical/fpos2/cylc-run/mi-af228/share/cycle/20151218T0000Z/ostia/
    String id "OSTIA-UKMO-L4-GLOB-v2.0";
    String infoUrl "";
    String institution "UKMO";
    String keywords "analysed, analysed_sst, analysis, analysis_error, area, binary, bit, cryosphere, daily, data, day, deviation, distribution, Earth Science > Cryosphere > Sea Ice > Ice Extent, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, Earth Science > Oceans > Sea Ice > Ice Extent, error, estimated, extent, foundation, fraction, glo, global, ice, ice distribution, kingdom, L4, lake, land, land_binary_mask, latitude, longitude, mask, meteorological, meteorology, metoffice, metoffice-glo-sst-l4-nrt-obs-sst-v2, near, nrt, obs, observations, ocean, oceans, office, operational, ostia, real, sea, sea_ice_area_fraction, sea_ice_fraction, sea_surface_foundation_temperature, sea_surface_temperature_error, sst, standard, statistics, surface, temperature, time, ukmo, united";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "These data are available free of charge under the GMES data policy";
    String metadata_link "";
    String naming_authority "org.ghrsst";
    Float64 Northernmost_Northing 89.975;
    String platform "NOAA-19, MetOpA, MSG2, TRMM, GOES13, DMSP-F17, DMSP-F15";
    String processing_level "L4";
    String product_version "2.0";
    String project "Group for High Resolution Sea Surface Temperature";
    String publisher_email "";
    String publisher_name "GHRSST Project Office";
    String publisher_type "group";
    String publisher_url "";
    String references "Donlon, C.J., Martin, M., Stark, J.D., Roberts-Jones, J., Fiedler, E., Wimmer, W., 2011. The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA). Remote Sensing of the Environment";
    String sourceUrl "";
    Float64 Southernmost_Northing -89.975;
    String spatial_resolution "0.05 degree";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the UK Met Office using optimal interpolation (OI) on a global 0.054 degree grid. The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) analysis uses satellite data from sensors that include the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Tropical Rainfall Measuring Mission Microwave Imager (TMI), and in situ data from drifting and moored buoys. This analysis has a highly smoothed SST field and was specifically produced to support SST data assimilation into Numerical Weather Prediction (NWP) models. (METOFFICE-GLO-SST-L4-NRT-OBS-SST-V2)";
    String testOutOfDate "now-2days";
    String time_coverage_end "2018-03-19T12:00:00Z";
    String time_coverage_start "2013-04-25T12:00:00Z";
    String title "Global SST & Sea Ice Analysis, L4 OSTIA, UK Met Office, Global, 0.05°, Daily, 2013-present";
    Float64 Westernmost_Easting -179.975;


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,[(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.

ERDDAP, Version 1.82
Disclaimers | Privacy Policy | Contact