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数据集标题:  SODA 3.3.1 Sea Ice Concentration, 1/2°, Global, 1980-2015, Monthly Composite Subscribe RSS
机构:  University of Maryland   (数据集 ID: erdSoda331icemday)
信息:  概括 ? | 执照 ? | FGDC | ISO 19115 | 元数据 | 背景 (外部链接) | 制作图表
 
方面 ? 开始 ? 步幅 ? 停止 ?  尺寸 ?    间距 ?
 time (UTC) ?      432    30 days 10h 28m 7s (不均匀的)
  < slider >
 depth (m) ?      5    0.275 (不均匀的)
  < slider >
 latitude (degrees_north) ?      330    0.5 (甚至)
  < slider >
 longitude (degrees_east) ?      720    0.5 (甚至)
  < slider >
 
网格变量(始终也会下载所有维度变量) 
 cn (Sea Ice Concentration, 0-1) ?

文件类型: (更多信息)

(Documentation / Bypass this form) ?
 
(请耐心等待,获取数据可能需要一段时间。)


 

此数据集的数据集属性结构 (.das)

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 3.168288e+8, 1.450224e+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";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.0, 1.1;
    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";
    Float32 actual_range -74.75, 89.75;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.25, 359.75;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    Float32 modulo 360.0;
    String standard_name "longitude";
    String units "degrees_east";
  }
  cn {
    String cell_methods "time: mean ct: mean";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Ice Distribution";
    String long_name "Sea Ice Concentration";
    Float32 missing_value -1.0e+20;
    String units "0-1";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.internal.dataset.conv.DefaultConventions";
    String acknowledgement "The SODA3 project is funded by the US National Science Foundation. Please cite: Carton, Chepurin, and Chen (2017)";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String Created_by "Gennady Chepurin and Ligang Chen";
    String creation_date "October, 2016";
    String creator_email "carton@atmos.umd.edu";
    String creator_name "James A. Carton";
    String creator_type "person";
    String creator_url "https://www.atmos.umd.edu/~ocean/";
    String defaultGraphQuery "cn[last][0][0:last][0:last]&.draw=surface&.vars=longitude|latitude|cn";
    Float64 Easternmost_Easting 359.75;
    Float64 geospatial_lat_max 89.75;
    Float64 geospatial_lat_min -74.75;
    Float64 geospatial_lat_resolution 0.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.75;
    Float64 geospatial_lon_min 0.25;
    Float64 geospatial_lon_resolution 0.5;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-06-07T14:22:48Z (local files)
2025-06-07T14:22:48Z https://coastwatch.pfeg.noaa.gov/erddap/zh-CN/griddap/erdSoda331icemday.das";
    String infoUrl "https://www.atmos.umd.edu/~ocean/";
    String institution "University of Maryland";
    String keywords "3.3.1, assimilation, concentration, data, depth, distribution, ice, ice distribution, latitude, level, longitude, maryland, ocean, reanalysis, sea, simple, soda, soda3.3.1, state, time, university";
    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 89.75;
    String Principle_investigator "James A. Carton";
    String Principle_investigator_email "carton@atmos.umd.edu";
    String publisher_email "erd.data@noaa.gov";
    String publisher_name "NOAA NMFS SWFSC ERD";
    String publisher_type "institution";
    String publisher_url "https://www.pfeg.noaa.gov";
    String references "Carton, Chepurin, and Chen (2017)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -74.75;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "SODA3.3.1 ice state, forced by MERRA2. The goal of SODA is to reconstruct the historical physical (and eventually biogeochemical) history of the ocean. As its name implies, the Simple Ocean Data Assimilation ocean/sea ice reanalysis (SODA) uses a simple architecture based on community standard codes with resolution chosen to match available data and the scales of motion that are resolvable. Agreement with direct measurements (to within observational error estimates) as well as unbiased statistics are expected. Please cite: Carton, Chepurin, and Chen (2017).";
    String time_coverage_end "2015-12-16T00:00:00Z";
    String time_coverage_start "1980-01-16T00:00:00Z";
    String title "SODA 3.3.1 Sea Ice Concentration, 1/2°, Global, 1980-2015, Monthly Composite";
    Float64 Westernmost_Easting 0.25;
  }
}

 

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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