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数据集标题:  SODA - POP 2.2.4 Monthly Means, 1871-2010 (At Depths), Lon+/-180 Subscribe RSS
机构:  TAMU/UMD   (数据集 ID: hawaii_d90f_20ee_c4cb_LonPM180)
信息:  概括 ? | 执照 ? | FGDC | ISO 19115 | 元数据 | 背景 (外部链接) | 数据访问表
 
图表类型:  ?
X 轴:  ?
Y 轴:  ?
颜色:  ?
 
方面 ?    开始 ?    Stop ?
time (UTC) ?     仅指定 1 个值 →
    |< -
< <
depth (m) ?     仅指定 1 个值 →
    + >|
< <
latitude (degrees_north) ?
    +
    -
< slider >
longitude (degrees_east) ?
    +
    -
< slider >
 
图表设置
彩条:   连续性:   规模: 
   最低限度:   最大限度:   N 节: 
绘制陆地遮罩: 
Y 轴最小值:   最大限度:   
 
(请耐心等待,获取数据可能需要一段时间。)
 
选修的:
然后设置文件类型: (文件类型信息)
and
或查看 URL:
(文档 / 旁路 这 形式 ? )
    单击地图以指定新的中心点。 ?
飞涨:
[您指定的图表。请耐心等待。]

 

您可以使用图表来做的事情

当然,你可以对图表做任何你想做的事情。但你可能没有考虑到以下几点:

此数据集的数据集属性结构 (.das)

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -3.122928e+9, 1.2923712e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Centered Time";
    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 5.01, 5375.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range -75.25, 89.25;
    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 -179.75, 179.75;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  temp {
    Float32 _FillValue -9.99e+33;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Sea Water Temperature";
    Float32 missing_value -9.99e+33;
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  salt {
    Float32 _FillValue -9.99e+33;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    Float32 missing_value -9.99e+33;
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  u {
    Float32 _FillValue -9.99e+33;
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Currents";
    String long_name "Eastward Sea Water Velocity";
    Float32 missing_value -9.99e+33;
    String standard_name "eastward_sea_water_velocity";
    String units "m s-1";
  }
  v {
    Float32 _FillValue -9.99e+33;
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Currents";
    String long_name "Northward Sea Water Velocity";
    Float32 missing_value -9.99e+33;
    String standard_name "northward_sea_water_velocity";
    String units "m s-1";
  }
  w {
    Float32 _FillValue -9.99e+33;
    Float64 colorBarMaximum 1.0e-5;
    Float64 colorBarMinimum -1.0e-5;
    String comment "WARNING: Please use this variable's data with caution.";
    String ioos_category "Currents";
    String long_name "Upward Sea Water Velocity";
    Float32 missing_value -9.99e+33;
    String standard_name "upward_sea_water_velocity";
    String units "m s-1";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String dataType "Grid";
    String defaultDataQuery "temp[last][0][0:last][0:last],salt[last][0][0:last][0:last],u[last][0][0:last][0:last],v[last][0][0:last][0:last],w[last][0][0:last][0:last]";
    String defaultGraphQuery "temp[last][0][0:last][0:last]&.draw=surface&.vars=longitude|latitude|temp";
    String documentation "http://apdrc.soest.hawaii.edu/datadoc/soda_2.2.4.php";
    Float64 Easternmost_Easting 179.75;
    Float64 geospatial_lat_max 89.25;
    Float64 geospatial_lat_min -75.25;
    Float64 geospatial_lat_resolution 0.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.75;
    Float64 geospatial_lon_min -179.75;
    Float64 geospatial_lon_resolution 0.5;
    String geospatial_lon_units "degrees_east";
    String history 
"Wed Apr 23 10:40:58 HST 2025 : imported by GrADS Data Server 2.0
2025-06-07T13:38:34Z http://apdrc.soest.hawaii.edu/dods/public_data/SODA/soda_pop2.2.4
2025-06-07T13:38:34Z https://coastwatch.pfeg.noaa.gov/griddap/hawaii_d90f_20ee_c4cb_LonPM180.das";
    String infoUrl "https://www.atmos.umd.edu/~ocean/";
    String institution "TAMU/UMD";
    String keywords "circulation, currents, density, depths, 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, means, monthly, northward, northward_sea_water_velocity, ocean, oceans, pop, salinity, sea, sea_water_practical_salinity, sea_water_temperature, seawater, soda, tamu, temperature, umd, upward, upward_sea_water_velocity, velocity, water";
    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 89.25;
    String sourceUrl "http://apdrc.soest.hawaii.edu/dods/public_data/SODA/soda_pop2.2.4";
    Float64 Southernmost_Northing -75.25;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"Simple Ocean Data Assimilation (SODA) version 2.2.4 - A reanalysis of ocean 
climate. SODA uses the GFDL modular ocean model version 2.2. The model is 
forced by observed surface wind stresses from the COADS data set (from 1958 
to 1992) and from NCEP (after 1992). Note that the wind stresses were 
detrended before use due to inconsistencies with observed sea level pressure 
trends. The model is also constrained by constant assimilation of observed 
temperatures, salinities, and altimetry using an optimal data assimilation 
technique. The observed data comes from: 1) The World Ocean Atlas 1994 which 
contains ocean temperatures and salinities from mechanical 
bathythermographs, expendable bathythermographs and conductivity-temperature-
depth probes. 2) The expendable bathythermograph archive 3) The TOGA-TAO 
thermistor array 4) The Soviet SECTIONS tropical program 5) Satellite 
altimetry from Geosat, ERS/1 and TOPEX/Poseidon. 
We are now exploring an eddy-permitting reanalysis based on the Parallel 
Ocean Program POP-1.4 model with 40 levels in the vertical and a 0.4x0.25 
degree displaced pole grid (25 km resolution in the western North 
Atlantic).  The first version of this we will release is SODA1.2, a 
reanalysis driven by ERA-40 winds covering the period 1958-2001 (extended to 
the current year using available altimetry).";
    String time_coverage_end "2010-12-15T00:00:00Z";
    String time_coverage_start "1871-01-15T00:00:00Z";
    String title "SODA - POP 2.2.4 Monthly Means, 1871-2010 (At Depths), Lon+/-180";
    Float64 Westernmost_Easting -179.75;
  }
}

 

使用 griddap 从网格数据集请求数据和图表

griddap允许您通过特殊格式的 URL 从网格数据集中请求数据子集、图表或地图(例如,来自卫星的海面温度数据)。griddap 使用OPeNDAP  (external link)数据访问协议 (DAP )  (external link)及其投影约束 (external link)

URL 指定您想要的内容:数据集、图表或数据子集的描述以及响应的文件类型。

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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ERDDAP ,版本2.27.0
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