Easier access to scientific data
log in | ?    
Brought to you by NOAA NMFS SWFSC ERD    

ERDDAP > griddap > Data Access Form ?

Dataset Title:  FNMOC Sea Level Pressure for input to OSCURS Model, Interpolated from 6-hourly Subscribe RSS
Institution:  FNMOC, NOAA ERD   (Dataset ID: erdlasFnOscurs)
Information:  Summary ? | License ? | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      21014    1 day 0h 0m 2s (uneven)
  < slider >
 y (Y Index) ?      92    1.0 (even)
  < slider >
 x (X Index) ?      180    1.0 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables) 
 pmsl (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, 1.720872e+9;
    String axis "T";
    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";
  y {
    Float32 actual_range 1.0, 92.0;
    String ioos_category "Location";
    String long_name "Y Index";
  x {
    Float32 actual_range 1.0, 180.0;
    String ioos_category "Location";
    String long_name "X Index";
  pmsl {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 1050.0;
    Float64 colorBarMinimum 950.0;
    String ioos_category "Pressure";
    String long_name "Pressure Reduced To Mean Sea Level";
    String standard_name "air_pressure";
    String units "hPa";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "W. James Ingraham";
    String creator_type "person";
    String history 
    String infoUrl "";
    String institution "FNMOC, NOAA ERD";
    String keywords "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, from, hourly, interpolated, level, mean, measurements, model, noaa, oscurs, 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.";
    String sourceUrl "";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"The OSCURS numerical model is a research tool that allows oceanographers and
fisheries scientists to perform retrospective analyses of daily ocean surface
currents anywhere in a 90-km ocean-side grid from Baja California to the
Bering Strait.

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
    String time_coverage_end "2024-07-13T12:00:00Z";
    String time_coverage_start "1967-01-01T00:00:00Z";
    String title "FNMOC Sea Level Pressure for input to OSCURS Model, Interpolated from 6-hourly";


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 2.24
Disclaimers | Privacy Policy | Contact