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Dataset Title:  EMODPACE - Monthly sea level derived from derived from NMDIS - CORAv1
reanalysis (1993-2019)
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Institution:  National Marine Data and Information Service,Ministry of Natural Resource   (Dataset ID: EMODPACE_NMDIS_ASLV_CORAv1_GLO_MONTHLY_MEAN)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom:
[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 7.258464e+8, 1.5751584e+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 -7.75, 45.75;
    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 28.25, 131.75;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  zos {
    Float32 _FillValue 1.0e+20;
    Float32 _Fillvalue 1.0e+20;
    String cell_methods "area: mean time: mean";
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String long_name "Sea Surface Height";
    Float32 missing_value 1.0e+20;
    String standard_name "sea_surface_height";
    String unit_long "Meters";
    String units "m";
  }
  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 "India Ocean";
    String bulletin_date "19930101";
    String bulletin_type "reanalysis";
    String CDI "Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi)";
    String cdm_data_type "Grid";
    String CDO "Climate Data Operators version 1.9.8 (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 131.75;
    String EDMO "https://edmo.seadatanet.org/report/3336";
    String field_type "monthly_mean_centered_at_time_field";
    Float64 geospatial_lat_max 45.75;
    Float64 geospatial_lat_min -7.75;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 131.75;
    Float64 geospatial_lon_min 28.25;
    Float64 geospatial_lon_resolution 0.5;
    String geospatial_lon_units "degrees_east";
    String history 
"Fri Mar 18 19:00:20 2022: cdo cat /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/1993_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/1994_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/1995_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/1996_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/1997_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/1998_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/1999_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2000_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2001_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2002_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2003_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2004_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2005_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2006_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2007_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2008_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2009_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2010_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2011_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2012_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2013_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2014_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2015_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2016_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2017_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2018_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/2019_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/trend/199301_201912_NMDIS--ASLV-CORAv1-GLO.nc
Fri Mar 18 19:00:11 2022: cdo cat /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/monthly/1993/19930101_m-NMDIS--ASLV-CORAv1.0-IND_re-sv01.00.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/monthly/1993/19930201_m-NMDIS--ASLV-CORAv1.0-IND_re-sv01.00.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/monthly/1993/19930301_m-NMDIS--ASLV-CORAv1.0-IND_re-sv01.00.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/monthly/1993/19930401_m-NMDIS--ASLV-CORAv1.0-IND_re-sv01.00.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/monthly/1993/19930501_m-NMDIS--ASLV-CORAv1.0-IND_re-sv01.00.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/monthly/1993/19930601_m-NMDIS--ASLV-CORAv1.0-IND_re-sv01.00.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/monthly/1993/19930701_m-NMDIS--ASLV-CORAv1.0-IND_re-sv01.00.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/monthly/1993/19930801_m-NMDIS--ASLV-CORAv1.0-IND_re-sv01.00.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/monthly/1993/19930901_m-NMDIS--ASLV-CORAv1.0-IND_re-sv01.00.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/monthly/1993/19931001_m-NMDIS--ASLV-CORAv1.0-IND_re-sv01.00.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/monthly/1993/19931101_m-NMDIS--ASLV-CORAv1.0-IND_re-sv01.00.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/monthly/1993/19931201_m-NMDIS--ASLV-CORAv1.0-IND_re-sv01.00.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/ts/1993_mm_sla_NMDIS--ASLV-CORAv1-GLO.nc
Fri Mar 18 18:52:40 2022: cdo settaxis,1993-01-01,00:00,1month /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/mm/1993/19930101_m-NMDIS--ASLV-CORAv1.0-IND_re-sv01.00.nc /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/CORAv1/monthly/1993/19930101_m-NMDIS--ASLV-CORAv1.0-IND_re-sv01.00.nc
2022-12-02T08:32:46Z (local files)
2022-12-02T08:32:46Z https://erddap.emodnet-physics.eu/griddap/EMODPACE_NMDIS_ASLV_CORAv1_GLO_MONTHLY_MEAN.das";
    String id "CORAv1.0";
    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, marine, mean, month, monthly, national, nmdis, ocean, oceans, science, sea, sea_surface_height, service, ssh, 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";
    Float64 Northernmost_Northing 45.75;
    String project "CEMDnet";
    String reference_grid "field interpolated over WOA18 grid";
    String references "Han, G. et al. Adv. Atmos. Sci.30(6),1621-1631";
    String source "NMDIS China Ocean Reanalysis (CORAv1.0)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -7.75;
    String spatial_resolution "0.25 degree";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "EMODPACE - Monthly sea level derived from derived from NMDIS - CORAv1 reanalysis (1993-2019)";
    String time_coverage_end "2019-12-01T00:00:00Z";
    String time_coverage_start "1993-01-01T00:00:00Z";
    String title "EMODPACE - Monthly sea level derived from derived from NMDIS - CORAv1 reanalysis (1993-2019)";
    Float64 Westernmost_Easting 28.25;
  }
}

 

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
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.


 
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