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

ERDDAP > griddap > Data Access Form ?

Dataset Title:  COAMPS Visibility Forecast, 4km Subscribe RSS
Institution:  Marine Meteorology Division of the Naval Research Laboratory   (Dataset ID: COAMPS_4KM_VISIB)
Information:  Summary ? | License ? | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (date time, UTC) ?      34552    1h 3m 38s (uneven)
  < slider >
 y (km) ?      361    4.0 (even)
  < slider >
 x (km) ?      301    4.0 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables)
 visibility (visibility @ surface, m) ?

File type: (more info)

(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 1.3783824e+9, 1.5103152e+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 {
    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 {
    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";
  visibility {
    Float64 colorBarMaximum 100.0;
    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, 20;
    String GRIB_param_name "visibility";
    Int32 GRIB_param_number 20;
    String GRIB_param_short_name "var20";
    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 "visibility @ surface";
    Float32 missing_value -9999.0;
    String standard_name "visibility_in_air";
    String units "m";
    String _CoordinateModelRunDate "2016-10-02T00:00:00Z";
    String _CoordSysBuilder "ucar.nc2.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
2018-02-25T13:16:12Z (local files)
    String infoUrl "";
    String institution "Marine Meteorology Division of the Naval Research Laboratory";
    String keywords "4km, air, atmosphere, coamps, division, Earth Science > Atmosphere > Air Quality > Visibility, forecast, laboratory, marine, meteorology, naval, quality, research, surface, visibility, visibility_in_air";
    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 this software, and any derivative works thereof, and its supporting documentation for any purpose whatsoever, except commercial sales, provided that this entire notice appears in all copies of the software, derivative works and supporting documentation. Further, the user agrees to credit NRL in any publications that result from the use of this software or in any software package that includes this software.";
    String location "/mnt/gluster/data/netCDF/coamps/cencoos_4km/visib/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 comprised of data quality control, analysis, initialization, and forecast model components.";
    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 Standard Names Vocabulary V27";
    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 "2017-11-10T12:00:00Z";
    String time_coverage_start "2013-09-05T12:00:00Z";
    String title "COAMPS Visibility 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.

ERDDAP, Version 1.82_axiom-r1
Disclaimers | Privacy Policy | Contact