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Dataset Title:  NAVO NCOM: Sendai Regional Forecast (Sendai, Sendai, Best Time Series) [time][
depth][lat][lon], 2011
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Institution:  Naval Research Laboratory   (Dataset ID: northerngulfinstitute_edac_dap3_5b80_cc18_d8b3)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      1009    3h 0m 0s (even)
  < slider >
 depth (m) ?      40    128.2051 (uneven)
  < slider >
 latitude (degrees_north) ?      318    0.03150003 (uneven)
  < slider >
 longitude (degrees_east) ?      275    0.03637311 (uneven)
  < slider >
Grid Variables (which always also download all of the dimension variables)
 salinity (PSU) ?
 water_temp (Water Temperature, degree_C) ?
 water_u (Eastward Water Velocity, meter/sec) ?
 water_v (Northward Water Velocity, meter/sec) ?

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 1.3012704e+9, 1.3121568e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Forecast time for ForecastModelRunCollection";
    Float64 missing_value NaN;
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 actual_range 0.0, 5000.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    Int32 NAVO_code 5;
    String positive "down";
    String standard_name "depth";
    String units "m";
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 32.011024475097656, 41.99653244018555;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    Int32 NAVO_code 1;
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_range 7.0, 52.92704391479492;
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 138.0267791748047, 147.99301147460938;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    Int32 NAVO_code 2;
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_range 105.0, 147.99301147460938;
  salinity {
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Salinity";
    String long_name "Salinity";
    Int32 NAVO_code 16;
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  water_temp {
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Water Temperature";
    Int32 NAVO_code 15;
    String standard_name "sea_water_temperature";
    String units "degree_C";
  water_u {
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Currents";
    String long_name "Eastward Water Velocity";
    Int32 NAVO_code 17;
    String standard_name "eastward_sea_water_velocity";
    String units "meter/sec";
  water_v {
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Currents";
    String long_name "Northward Water Velocity";
    Int32 NAVO_code 18;
    String standard_name "northward_sea_water_velocity";
    String units "meter/sec";
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String cdm_data_type "Grid";
    String contact "NRL Code 7323";
    String Conventions "CF-1.6, _Coordinates, COARDS, ACDD-1.3";
    String creator_email "";
    String creator_name "Naval Research Lab (NRL)";
    String creator_type "institution";
    String creator_url "";
    String distribution_statement "Approved for public release; distribution is unlimited.";
    Float64 Easternmost_Easting 147.99301147460938;
    String generating_model "NCOM NOKI";
    Float64 geospatial_lat_max 41.99653244018555;
    Float64 geospatial_lat_min 32.011024475097656;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 147.99301147460938;
    Float64 geospatial_lon_min 138.0267791748047;
    String geospatial_lon_units "degrees_east";
    String history 
"Wed Jul 27 15:08:25 2011: ncatted -O -a time_origin,global,c,c,2011-07-27 00:00:00 /scr/ooc/data/ncom/packed_coards/
Wed Jul 27 15:01:12 2011: ncks -d lon,138.000000,148.000000,1 -d lat,32.000000,42.000000,1 -d depth,0.000000 -d depth,2.000000 -d depth,4.000000 -d depth,6.000000 -d depth,8.000000 -d depth,10.000000 -d depth,12.000000 -d depth,15.000000 -d depth,20.000000 -d depth,25.000000 -d depth,30.000000 -d depth,35.000000 -d depth,40.000000 -d depth,45.000000 -d depth,50.000000 -d depth,60.000000 -d depth,70.000000 -d depth,80.000000 -d depth,90.000000 -d depth,100.000000 -d depth,125.000000 -d depth,150.000000 -d depth,200.000000 -d depth,250.000000 -d depth,300.000000 -d depth,350.000000 -d depth,400.000000 -d depth,450.000000 -d depth,500.000000 -d depth,600.000000 -d depth,700.000000 -d depth,800.000000 -d depth,900.000000 -d depth,1000.000000 -d depth,1250.000000 -d depth,1500.000000 -d depth,2000.000000 -d depth,2500.000000 -d depth,3000.000000 -d depth,4000.000000 -d depth,5000.000000 -v water_u,water_v,water_temp,salinity,surf_el,tau /scr/ooc/data/ncom/packed_coards/ /scr/ooc/data/ncom/packed_coards/
not applicable ;
FMRC Best Dataset
    String id "ncom_sendai_agg/Sendai_best.ncd";
    String infoUrl "";
    String initial_time "2000010100";
    String input_data_source "not_applicable";
    String institution "Naval Research Laboratory";
    String keywords "best, best time series, circulation, coastal, currents, data, density, depth, earth, Earth Science > Oceans > Ocean Circulation > Ocean Currents, Earth Science > Oceans > Ocean Temperature > Water Temperature, Earth Science > Oceans > Salinity/Density > Salinity, eastward, eastward_sea_water_velocity, forecast, laboratory, latitude, longitude, model, naval, navo, navy, ncom, northward, northward_sea_water_velocity, ocean, oceanography, oceans, practical, regional, relocatable, research, salinity, science, sea, sea_water_practical_salinity, sea_water_temperature, seawater, sendai, series, temperature, time, time series, velocity, water, water_temp, water_u, water_v";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "Approved for public release; distribution is unlimited.";
    String location "Proto fmrc:Sendai";
    String model_type "NCOM_2.3";
    Float64 Northernmost_Northing 41.99653244018555;
    String operational_status "development";
    String sourceUrl "";
    Float64 Southernmost_Northing 32.011024475097656;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Naval Oceanography (NAVO) Navy Coastal Ocean Model (NCOM) Relocatable Model: Sendai Regional Forecast. Best time series, taking the data from the most recent run available. Sendai Aggregation";
    String time_coverage_end "2011-08-01T00:00:00Z";
    String time_coverage_start "2011-03-28T00:00:00Z";
    String time_origin "2011-07-27 00:00:00";
    String title "NAVO NCOM: Sendai Regional Forecast (Sendai, Sendai, Best Time Series) [time][depth][lat][lon], 2011";
    Float64 Westernmost_Easting 138.0267791748047;


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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