Data Access Form

Dataset Title:	FNMOC Sea Level Pressure, 360x180, 6-hourly, Lon+/-180
Institution:	FNMOC, NOAA ERD (Dataset ID: erdlasFnPres6_LonPM180)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Make a graph

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Dimensions	Size	Spacing
time (UTC)	84496	6h 0m 0s (even)

latitude (degrees_north)	180	1.0 (even)

longitude (degrees_east)	360	1.0 (even)

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

p_msl (Pressure Reduced To Mean Sea Level, hPa)

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 -9.46944e+7, 1.7303976e+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";
    Float64 actual_range -89.5, 89.5;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -179.5, 179.5;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    Float64 modulo 360.0;
    String standard_name "longitude";
    String units "degrees_east";
  }
  p_msl {
    Float64 _FillValue -1.0e+34;
    Float64 colorBarMaximum 1050.0;
    Float64 colorBarMinimum 950.0;
    String ioos_category "Pressure";
    String long_name "Pressure Reduced To Mean Sea Level";
    Float64 missing_value -1.0e+34;
    String standard_name "air_pressure";
    String units "hPa";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "Fleet Numerical Meteorology and Oceanography Center (FNMOC)";
    String creator_type "institution";
    String creator_url "https://www.usno.navy.mil/FNMOC";
    Float64 Easternmost_Easting 179.5;
    Float64 geospatial_lat_max 89.5;
    Float64 geospatial_lat_min -89.5;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.5;
    Float64 geospatial_lon_min -179.5;
    Float64 geospatial_lon_resolution 1.0;
    String geospatial_lon_units "degrees_east";
    String history 
"From fnmoc_6hr_1deg_1978.nc
2024-11-21T15:55:04Z https://oceanview.pfeg.noaa.gov/thredds/dodsC/Model/FNMOC/6hr_pressure
2024-11-21T15:55:04Z https://coastwatch.pfeg.noaa.gov/erddap/griddap/erdlasFnPres6_LonPM180.das";
    String infoUrl "https://www.pfeg.noaa.gov/products/PFEL/modeled/holdings.html";
    String institution "FNMOC, NOAA ERD";
    String keywords "360x180, 6-hourly, air, air_pressure, atmosphere, atmospheric, Earth Science > Atmosphere > Atmospheric Pressure > Atmospheric Pressure Measurements, Earth Science > Atmosphere > Atmospheric Pressure > Sea Level Pressure, Earth Science > Atmosphere > Atmospheric Pressure > Static Pressure, erd, fnmoc, hourly, level, mean, measurements, noaa, pressure, reduced, sea, static";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    Float64 Northernmost_Northing 89.5;
    String sourceUrl "https://oceanview.pfeg.noaa.gov/thredds/dodsC/Model/FNMOC/6hr_pressure";
    Float64 Southernmost_Northing -89.5;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"Sea level pressure based on the FNMOC 360x180 (1-degree) analyzed fields.

ERD was established at the U.S. Navy Fleet Numerical Meteorology and
Oceanography Center (FNMOC) to take advantage of the Navy's global
oceanographic and meteorological databases. FNMOC produces operational
forecasts of the state of the atmosphere and the ocean several times daily
and maintains archives of several important parameters, such as sea level
pressure and temperature. ERD derives a number of well-known environmental
data and index products which are routinely distributed to researchers at
many state and federal laboratories, as well as to academic and international
researchers.";
    String time_coverage_end "2024-10-31T18:00:00Z";
    String time_coverage_start "1967-01-01T00:00:00Z";
    String title "FNMOC Sea Level Pressure, 360x180, 6-hourly, Lon+/-180";
    Float64 Westernmost_Easting -179.5;
  }
}

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.