Data Access Form

Dataset Title:	EMODPACE - Absolute sea level trend (2004 - 2019) - derived from NMDIS - CORAv2
Institution:	National Marine Data and Information Service,Ministry of Natural Resource (Dataset ID: EMODPACE_NMDIS_ASLV_CORAv2_GLO_TREND)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Files \| Make a graph

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Dimensions	Size	Spacing
time (UTC)	1	(just one value)

latitude (degrees_north)	522	0.09999999 (uneven)

longitude (degrees_east)	1002	0.1 (even)

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

zos (Sea Surface Height, mm/y)

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 1.576368e+9, 1.576368e+9;
    String axis "T";
    String calendar "gregorian";
    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";
    Float32 actual_range -7.049995, 45.05;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 29.95, 130.05;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  zos {
    Float64 _FillValue -32767.0;
    String cell_methods "area: mean time: mean";
    String long_name "Sea Surface Height";
    Float64 missing_value -32767.0;
    String standard_name "sea_surface_height";
    String time_precision "1970-01";
    String units "mm/y";
  }
  NC_GLOBAL {
    String acknowledgement "Please acknowledge the use of these data with the following statement:Generated/provided by NMDIS. We would also appreciate being informed of any publications";
    String area "North-India-Ocean";
    String bulletin_type "reanalysis";
    String CDI "Climate Data Interface version 1.9.10 (https://mpimet.mpg.de/cdi)";
    String cdm_data_type "Grid";
    String CDO "Climate Data Operators version 1.9.10 (https://mpimet.mpg.de/cdo)";
    String contributor_name "Other";
    String contributor_url "http://www.cmoc-china.cn/";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "cora@nmdis.org.cn";
    String creator_name "NMDIS";
    String creator_type "institution";
    String DOI "https://doi:10.1007/s00376-013-2198-9";
    Float64 Easternmost_Easting 130.05;
    String EDMO "https://edmo.seadatanet.org/report/3336";
    String field_type "daily_mean_centered_at_time_field";
    Float64 geospatial_lat_max 45.05;
    Float64 geospatial_lat_min -7.049995;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 130.05;
    Float64 geospatial_lon_min 29.95;
    Float64 geospatial_lon_resolution 0.1;
    String geospatial_lon_units "degrees_east";
    String history 
"NMDIS China Ocean Reanalysis (CORAv2.0)
2025-11-05T08:44:40Z (local files)
2025-11-05T08:44:40Z http://erddap.emodnet-physics.eu/erddap/griddap/EMODPACE_NMDIS_ASLV_CORAv2_GLO_TREND.das";
    String id "CORAv2.0";
    String infoUrl "http://www.cmoc-china.cn/pages/dataService.html";
    String institution "National Marine Data and Information Service,Ministry of Natural Resource";
    String institution_edmo_code "3336";
    String institution_references "https://edmo.seadatanet.org/report/3336";
    String keywords "china, data, earth, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, height, information, local, marine, national, nmdis, ocean, oceans, science, sea, sea_surface_height, service, source, surface, time, topography, zos";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa";
    String NCO "netCDF Operators version 4.9.8 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 45.05;
    String project "CEMDnet";
    String references "Han, G. et al. Adv. Atmos. Sci.30(6),1621-1631";
    String source "NMDIS China Ocean Reanalysis (CORAv2.0)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -7.049995;
    String spatial_resolution "0.1 degree";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "EMODPACE - Absolute sea level trend (2004 - 2019) - derived from NMDIS - CORAv2";
    String time_coverage_end "2019-12-15T00:00:00Z";
    String time_coverage_start "2019-12-15T00:00:00Z";
    String title "EMODPACE - Absolute sea level trend (2004 - 2019) - derived from NMDIS - CORAv2";
    Float64 Westernmost_Easting 29.95;
  }
}

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.