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Dataset Title:  COAMPS 12-hour Total Precipitation forecast, 4km Subscribe RSS
Institution:  Marine Meteorology Division of the Naval Research Laboratory   (Dataset ID: COAMPS_4KM_TTL_PRCP)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
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y (km) ?
< slider >
x (km) ?
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Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Y Axis Minimum:   Maximum:   
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    [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 {
    UInt32 _ChunkSizes 1;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.3775184e+9, 1.6508016e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "date time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  y {
    UInt32 _ChunkSizes 361;
    String _CoordinateAxisType "GeoY";
    Float64 actual_range 3217.6206264877414, 4657.620626487742;
    String grid_spacing "4.0 km";
    String ioos_category "Location";
    String long_name "y coordinate of projection";
    String standard_name "projection_y_coordinate";
    String units "km";
  x {
    UInt32 _ChunkSizes 301;
    String _CoordinateAxisType "GeoX";
    Float64 actual_range 0.0, 1200.0;
    String grid_spacing "4.0 km";
    String ioos_category "Location";
    String long_name "x coordinate of projection";
    String standard_name "projection_x_coordinate";
    String units "km";
  total_precipitation_12_hour {
    UInt32 _ChunkSizes 1, 361, 301;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String coverage_content_type "modelResult";
    Int32 GRIB_center_id 58;
    Int32 GRIB_level_type 1;
    Int32 GRIB_param_id 1, 58, 3, 61;
    String GRIB_param_name "total_precipitation_12-hour";
    Int32 GRIB_param_number 61;
    String GRIB_param_short_name "var61";
    String GRIB_product_definition_type "Initialized analysis product";
    Int32 GRIB_table_id 3;
    String GRIB_VectorComponentFlag "easterlyNortherlyRelative";
    String grid_mapping "Mercator";
    String ioos_category "Meteorology";
    String long_name "liquid water equivalent of total precipitation";
    Float32 missing_value -9999.0;
    String standard_name "lwe_thickness_of_precipitation_amount";
    String units "mm";
    String _CoordinateModelRunDate "2013-08-26T12:00:00Z";
    String _CoordSysBuilder "ucar.nc2.internal.dataset.conv.CF1Convention";
    String cdm_data_type "Grid";
    String CF_feature_type "GRID";
    String comment "The issue date or publication date in this record refers to the model itself and not the forecast model results.";
    String Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String creator_email "";
    String creator_name "Marine Meteorology Division of the Naval Research Laboratory";
    String creator_url "";
    String date_issued "2013-08-01";
    String file_format "GRIB-1";
    String history 
"Direct read of GRIB-1 into NetCDF-Java 4 API
2023-01-27T23:52:36Z (local files)
    String infoUrl "";
    String institution "Marine Meteorology Division of the Naval Research Laboratory";
    String keywords "12-hour, 4km, amount, atmosphere, coamps, division, Earth Science > Atmosphere > Precipitation > Precipitation Amount, forecast, hour, laboratory, marine, meteorology, naval, precipitation, research, total";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance, and distribute thi";
    String location "/mnt/gluster/data/netCDF/coamps/cencoos_4km/ttl_prcp/0m/";
    String Metadata_Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String Originating_center "U.S. Navy Fleet Numerical Meteorology and Oceanography Center (58)";
    String processing_level "The atmospheric portion of COAMPS® represents a complete three-dimensional data assimilation system com";
    String Product_Type "Forecast/Uninitialized Analysis/Image Product";
    String publisher_email "";
    String publisher_name "Naval Research Laboratory";
    String publisher_url "";
    String source "Forecast/Uninitialized Analysis/Image Product";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF-12";
    String standard_vocabulary_name "CF Standard Names Vocabulary V27";
    String summary "Near-real-time 48-hour weather forecasts from the new CeNCOOS COAMPS model run (August 2013 - Present). For older data, look at the COAMPS Forecast [2012 - 2013] layer. The Coupled Ocean/Atmosphere Mesoscale Prediction System, developed and run by the Naval Research Laboratory (NRL) in Monterey, CA, is a numerical weather prediction model. This model run has a resolution of 4km and covers the coastal ocean from Oregon to Mexico. Variables available in the CeNCOOS data portal include: Total Precipitation, Visibility, Cloudbase, Air Temperature, Relative Humidity and Wind. Other atmospheric variables and additional altitude layers are available through the GODAE server ie. heat flux, sea level pressure, vorticity, geopotential height. More information: CeNCOOS COAMPS page: NRL COAMPS page: GODAE server:";
    String time_coverage_end "2022-04-24T12:00:00Z";
    String time_coverage_start "2013-08-26T12:00:00Z";
    String title "COAMPS 12-hour Total Precipitation forecast, 4km";


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.

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