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Dataset Title:  * BOEM Arctic Air Quality Impact Assessment Modeling Study 2009-2013 Subscribe RSS
Institution:  BOEM Arctic Air Quality Impact Assessment Modeling Study   (Dataset ID: Air_Quality_WRF_SFC_2009_2013)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Files
 
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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 {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.230768e+9, 1.3885308e+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";
  }
  NY {
    Float64 actual_range 1.0, 129.0;
    String axis "Y";
    String ioos_category "Statistics";
    String long_name "NY";
    String point_spacing "even";
  }
  NX {
    Float64 actual_range 1.0, 156.0;
    String axis "X";
    String ioos_category "Statistics";
    String long_name "NX";
    String point_spacing "even";
  }
  PCPT {
    Float64 colorBarMaximum 200.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Meteorology";
    String long_name "1-hour accumulated total precipitation";
    String units "kg m-2";
  }
  T2 {
    Float64 colorBarMaximum 313.0;
    Float64 colorBarMinimum 263.0;
    String ioos_category "Temperature";
    String long_name "2-meter temperature";
    String standard_name "air_temperature";
    String units "degree_kelvin";
  }
  T2_C {
    String ioos_category "Temperature";
    String long_name "2-meter temperature";
    String units "C";
  }
  TH2 {
    Float64 colorBarMaximum 313.0;
    Float64 colorBarMinimum 263.0;
    String ioos_category "Temperature";
    String long_name "2-meter potential temperature";
    String units "K";
  }
  TH2_C {
    String ioos_category "Temperature";
    String long_name "2-meter potential temperature";
    String units "C";
  }
  Q2 {
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Meteorology";
    String long_name "2-meter specific humidity";
    String standard_name "specific_humidity";
    String units "kg kg-1";
  }
  U10 {
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String ioos_category "Wind";
    String long_name "10-meter zonal wind component";
    String standard_name "eastward_wind";
    String units "m.s-1";
  }
  V10 {
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String ioos_category "Wind";
    String long_name "10-meter meridional wind component";
    String standard_name "northward_wind";
    String units "m.s-1";
  }
  SPD {
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Wind";
    String long_name "10-meter wind speed";
    String standard_name "wind_speed";
    String units "m.s-1";
  }
  DIR {
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Wind";
    String long_name "10-meter wind direction";
    String standard_name "wind_from_direction";
    String units "degrees";
  }
  PSFC {
    Float64 colorBarMaximum 1050.0;
    Float64 colorBarMinimum 950.0;
    String ioos_category "Pressure";
    String long_name "surface pressure";
    String standard_name "air_pressure";
    String units "hpascals";
  }
  PCPC {
    Float64 colorBarMaximum 200.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Meteorology";
    String long_name "1-hour accumulated convective precipitation";
    String units "kg m-2";
  }
  PCPNC {
    Float64 colorBarMaximum 200.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Meteorology";
    String long_name "1-hour accumulated large-scale precipitation";
    String units "kg m-2";
  }
  LANDMASK {
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Identifier";
    String long_name "land mask (0=water; 1=land)";
    String standard_name "land_binary_mask";
    String units "1";
  }
  SEAICE {
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "sea ice flag";
    String units "1";
  }
  LU_INDEX {
    String ioos_category "Unknown";
    String long_name "land use category";
  }
  SNOWC {
    Float32 _FillValue -1.0e+34;
    String ioos_category "Ice Distribution";
    String long_name "snow cover (0=bare ground; 1=snow)";
    String units "1";
  }
  SNOW {
    Float32 _FillValue -1.0e+34;
    Float64 colorBarMaximum 200.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Ice Distribution";
    String long_name "snow depth water equivalent";
    String units "kg m-2";
  }
  SNOWH {
    Float32 _FillValue -1.0e+34;
    String ioos_category "Ice Distribution";
    String long_name "physical snow depth";
    String units "m";
  }
  GRDFLX {
    Float32 _FillValue -1.0e+34;
    Float64 colorBarMaximum 250.0;
    Float64 colorBarMinimum -250.0;
    String ioos_category "Heat Flux";
    String long_name "ground heat flux";
    String units "W m-2";
  }
  SWDOWN {
    String ioos_category "Heat Flux";
    String long_name "surface downward shortwave radiation";
    String units "W m-2";
  }
  LWDOWN {
    String ioos_category "Heat Flux";
    String long_name "surface downward longwave radiation";
    String units "W m-2";
  }
  SENSFLX {
    Float64 colorBarMaximum 250.0;
    Float64 colorBarMinimum -250.0;
    String ioos_category "Heat Flux";
    String long_name "surface sensible net heat flux";
    String standard_name "surface_downward_sensible_heat_flux";
    String units "W m-2";
  }
  LATFLX {
    Float64 colorBarMaximum 250.0;
    Float64 colorBarMinimum -250.0;
    String ioos_category "Heat Flux";
    String long_name "surface latent net heat flux";
    String standard_name "surface_downward_latent_heat_flux";
    String units "W m-2";
  }
  QFLX {
    Float64 colorBarMaximum 1.0e-4;
    Float64 colorBarMinimum -1.0e-4;
    String ioos_category "Meteorology";
    String long_name "upward surface moisture flux (net evaporation)";
    String units "kg m-2 s-1";
  }
  PBLH {
    Float32 _FillValue -1.0e+34;
    String ioos_category "Unknown";
    String long_name "planetary boundary layer height";
    String units "m";
  }
  TSK {
    Float64 colorBarMaximum 313.0;
    Float64 colorBarMinimum 263.0;
    String ioos_category "Temperature";
    String long_name "skin temperature";
    String units "K";
  }
  TSK_C {
    String ioos_category "Temperature";
    String long_name "skin temperature";
    String units "C";
  }
  SST {
    Float32 _FillValue -1.0e+34;
    Float64 colorBarMaximum 305.0;
    Float64 colorBarMinimum 273.0;
    String ioos_category "Temperature";
    String long_name "sea surface temperature";
    String standard_name "sea_surface_temperature";
    String units "K";
  }
  SST_C {
    Float32 _FillValue -1.0e+34;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "sea surface temperature";
    String standard_name "sea_surface_temperature";
    String units "C";
  }
  SSTSK {
    Float32 _FillValue -1.0e+34;
    Float64 colorBarMaximum 305.0;
    Float64 colorBarMinimum 273.0;
    String ioos_category "Temperature";
    String long_name "sea surface skin temperature";
    String standard_name "sea_surface_skin_temperature";
    String units "K";
  }
  SSTSK_C {
    Float32 _FillValue -1.0e+34;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "sea surface skin temperature";
    String standard_name "sea_surface_skin_temperature";
    String units "C";
  }
  SOILT {
    Float32 _FillValue -1.0e+34;
    Float64 colorBarMaximum 313.0;
    Float64 colorBarMinimum 263.0;
    String ioos_category "Temperature";
    String long_name "soil temperature of top layer";
    String units "K";
  }
  SOILT_C {
    Float32 _FillValue -1.0e+34;
    String ioos_category "Soils";
    String long_name "soil temperature of top layer";
    String units "C";
  }
  SOILM {
    Float32 _FillValue -1.0e+34;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Soils";
    String long_name "volumetric soil moisture of top layer";
    String standard_name "soil_moisture_content";
    String units "m3 m-3";
  }
  SOILH2O {
    Float32 _FillValue -1.0e+34;
    String ioos_category "Soils";
    String long_name "volumetric soil liquid water of top layer";
    String units "m3 m-3";
  }
  SOILMREL {
    Float32 _FillValue -1.0e+34;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Soils";
    String long_name "soil moisture availability of top layer";
    String standard_name "soil_moisture_content";
    String units "1";
  }
  PH {
    Float64 colorBarMaximum 9.0;
    Float64 colorBarMinimum 7.0;
    String ioos_category "Salinity";
    String long_name "perturbation geopotential";
    String standard_name "sea_water_ph_reported_on_total_scale";
    String units "m2 s-2";
  }
  P {
    String ioos_category "Pressure";
    String long_name "perturbation pressure";
    String units "Pa";
  }
  T {
    Float64 colorBarMaximum 313.0;
    Float64 colorBarMinimum 263.0;
    String ioos_category "Temperature";
    String long_name "perturbation potential temperature (theta-t0)";
    String units "K";
  }
  T_C {
    String ioos_category "Temperature";
    String long_name "perturbation potential temperature (theta-t0)";
    String units "C";
  }
  QVAPOR {
    Float64 colorBarMaximum 200.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Meteorology";
    String long_name "Water vapor mixing ratio";
    String units "kg kg-1";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "BOEM Arctic Air Quality Impact Assessment Modeling Study";
    Float32 DX 12000.0;
    Float32 DY 12000.0;
    String history 
"Fri Sep 30 01:40:11 2016: ncatted -O -a units,V10,m,c,m.s-1 wrfsfcAQ_d02_2013_12.nc
Fri Sep 30 01:39:41 2016: ncatted -O -a units,U10,m,c,m.s-1 wrfsfcAQ_d02_2013_12.nc
Fri Sep 30 01:39:10 2016: ncatted -O -a units,PSFC,m,c,hpascals wrfsfcAQ_d02_2013_12.nc
Fri Sep 30 01:38:41 2016: ncatted -O -a units,T2,m,c,degree_kelvin wrfsfcAQ_d02_2013_12.nc
Fri Sep 30 01:38:12 2016: ncatted -O -a units,DIR,m,c,degrees wrfsfcAQ_d02_2013_12.nc
Fri Sep 30 01:37:42 2016: ncatted -O -a units,SPD,m,c,m.s-1 wrfsfcAQ_d02_2013_12.nc
Fri Sep 30 01:37:13 2016: ncatted -O -a standard_name,V10,c,c,northward_wind wrfsfcAQ_d02_2013_12.nc
Fri Sep 30 01:36:41 2016: ncatted -O -a standard_name,U10,c,c,eastward_wind wrfsfcAQ_d02_2013_12.nc
Fri Sep 30 01:36:11 2016: ncatted -O -a standard_name,PSFC,c,c,air_pressure wrfsfcAQ_d02_2013_12.nc
Fri Sep 30 01:35:42 2016: ncatted -O -a standard_name,T2,c,c,air_temperature wrfsfcAQ_d02_2013_12.nc
Fri Sep 30 01:35:13 2016: ncatted -O -a standard_name,DIR,c,c,wind_from_direction wrfsfcAQ_d02_2013_12.nc
Fri Sep 30 01:34:44 2016: ncatted -O -a standard_name,SPD,c,c,wind_speed wrfsfcAQ_d02_2013_12.nc
Fri Sep 30 01:34:14 2016: ncatted -O -a coordinates,V10,c,c,TIME XLON XLAT wrfsfcAQ_d02_2013_12.nc
Fri Sep 30 01:33:44 2016: ncatted -O -a coordinates,U10,c,c,TIME XLON XLAT wrfsfcAQ_d02_2013_12.nc
Fri Sep 30 01:33:14 2016: ncatted -O -a coordinates,PSFC,c,c,TIME XLON XLAT wrfsfcAQ_d02_2013_12.nc
Fri Sep 30 01:32:44 2016: ncatted -O -a coordinates,T2,c,c,TIME XLON XLAT wrfsfcAQ_d02_2013_12.nc
Fri Sep 30 01:32:15 2016: ncatted -O -a coordinates,DIR,c,c,TIME XLON XLAT wrfsfcAQ_d02_2013_12.nc
Fri Sep 30 01:29:46 2016: ncatted -O -a coordinates,SPD,c,c,TIME XLON XLAT wrfsfcAQ_d02_2013_12.nc
2018-12-15T17:22:43Z (local files)
2018-12-15T17:22:43Z http://erddap.aoos.org/griddap/Air_Quality_WRF_SFC_2009_2013.das";
    String infoUrl "http://portal.aoos.org/#module-metadata/864fa9ea-8686-11e6-9dd4-00265529168c/";
    String institution "BOEM Arctic Air Quality Impact Assessment Modeling Study";
    String keywords "1-hour, 10-meter, 2-meter, accumulated, agriculture, air, air_pressure, air_temperature, arctic, assessment, atmosphere, atmospheric, availability, bare, binary, boem, boundary, budget, bureau, category, chemistry, component, content, convective, cover, data, depth, DIR, direction, distribution, downward, Earth Science > Agriculture > Soils > Soil Moisture/Water Content, Earth Science > Atmosphere > Atmospheric Pressure > Atmospheric Pressure Measurements, Earth Science > Atmosphere > Atmospheric Pressure > Sea Level Pressure, Earth Science > Atmosphere > Atmospheric Pressure > Static Pressure, Earth Science > Atmosphere > Atmospheric Radiation > Heat Flux, Earth Science > Atmosphere > Atmospheric Temperature > Air Temperature, Earth Science > Atmosphere > Atmospheric Temperature > Surface Air Temperature, Earth Science > Atmosphere > Atmospheric Water Vapor > Humidity, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Land Surface > Soils > Soil Moisture/Water Content, Earth Science > Oceans > Ocean Chemistry > pH, Earth Science > Oceans > Ocean Heat Budget > Heat Flux, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, eastward, eastward_wind, energy, equivalent, evaporation, flag, flux, forecasting, geopotential, GRDFLX, ground, heat, heat flux, height, hour, humidity, ice, ice distribution, identifier, impact, land, land_binary_mask, LANDMASK, large, large-scale, latent, LATFLX, layer, level, liquid, longwave, LU_INDEX, LWDOWN, management, mask, measurements, meridional, meteorology, meter, mixing, model, modeling, moisture, net, northward, northward_wind, ocean, oceans, output, PBLH, PCPC, PCPNC, PCPT, perturbation, physical, planetary, potential, precipitation, pressure, PSFC, QFLX, quality, QVAPOR, radiation, rain, rainfall, ratio, reported, research, salinity, scale, sea, sea_surface_skin_temperature, sea_surface_temperature, sea_water_ph_reported_on_total_scale, SEAICE, seawater, SENSFLX, sensible, shortwave, skin, snow, SNOWC, SNOWH, soil, soil_moisture_content, SOILH2O, SOILM, SOILMREL, soils, SOILT, SOILT_C, SPD, specific, specific_humidity, speed, SST, SST_C, SSTSK, SSTSK_C, static, study, surface, surface_downward_latent_heat_flux, surface_downward_sensible_heat_flux, SWDOWN, T2_C, T_C, temperature, TH2, TH2_C, theta, theta-t0, TIME, top, total, TSK, TSK_C, U10, upward, use, V10, v3.6.1, vapor, volumetric, water, weather, wind, wind_from_direction, wind_speed, winds, wrf, zonal";
    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 MAP_PROJ "Polar Stereographic";
    Float32 MOAD_CEN_LAT 69.99998;
    String SIMULATION_START_DATE "2008-12-31_12:00:00";
    String source "WRFv3.6.1";
    String sourceUrl "(local files)";
    Float32 STAND_LON -155.0;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "The Arctic Air Quality Impact Assessment Modeling dataset is an hourly 5-year gridded reanalysis product for the period 2009-2013, covering the Chukchi-Beaufort Seas and most of Alaska. It was produced with a modified version of the Weather Research and Forecasting (WRF) model, Polar WRF or PWRF (v3.6.1), which optimizes the surface energy budget and parameterization of sea-ice and permanent ice surfaces. The modifications included implementation of a variable sea-ice and snow thickness and seasonally-variable sea-ice albedo. The WRF model was run with Four Dimensional Data Assimilation (FDDA), a combination of analysis and observation nudging. The model outputs represent hourly results at ~12 km spatial resolution with the goal to provide the meteorological dataset needed for air quality (AQ) modeling in the Arctic. More information including the final report can be found on the BOEM Environmental Studies Program Information System (ESPIS) page for this project: https://marinecadastre.gov/espis/#/search/study/26887.";
    String time_coverage_end "2013-12-31T23:00:00Z";
    String time_coverage_start "2009-01-01T00:00:00Z";
    String title "* BOEM Arctic Air Quality Impact Assessment Modeling Study 2009-2013";
    Float32 TRUELAT1 70.0;
    Float32 TRUELAT2 70.0;
  }
}

 

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
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.


 
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