数据访问表

数据集标题:	HadISST Average Sea Surface Temperature, 1°, Global, Monthly, 1870-present, Lon0360
机构:	Met Office Hadley Centre (数据集 ID: erdHadISST_Lon0360)
信息:	概括 \| 执照 \| FGDC \| ISO 19115 \| 元数据 \| 背景 \| 文件 \| 制作图表

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方面	尺寸	间距
time (UTC)	1861	30 days 10h 29m 25s (不均匀的)

latitude (degrees_north)	180	-1.0 (甚至)

longitude (degrees_east)	360	1.0 (甚至)

网格变量（始终也会下载所有维度变量）

sst (C)

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 -3.154334400864e+9, 1.7370288e+9;
    String axis "T";
    String calendar "gregorian";
    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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.5, 89.5;
    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 0.5, 359.5;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sst {
    Float32 _FillValue -1.0e+30;
    String cell_methods "time: lat: lon: mean";
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "sst";
    Float32 missing_value -1.0e+30;
    String standard_name "sea_surface_temperature";
    String units "C";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String comment "Data restrictions: for academic research use only. Data are Crown copyright see (http://www.opsi.gov.uk/advice/crown-copyright/copyright-guidance/index.htm)";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "john.kennedy@metoffice.gov.uk";
    String creator_name "Met Office Hadley Centre";
    String creator_type "institution";
    String creator_url "http://hadobs.metoffice.com/";
    String description "HadISST 1.1 monthly average sea surface temperature";
    Float64 Easternmost_Easting 359.5;
    Float64 geospatial_lat_max 89.5;
    Float64 geospatial_lat_min -89.5;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.5;
    Float64 geospatial_lon_min 0.5;
    Float64 geospatial_lon_resolution 1.0;
    String geospatial_lon_units "degrees_east";
    String history 
"2017-01 Roy Mendelssohn (erd.data@noaa.gov) downloaded HadISST_ice.nc.gz from http://hadobs.metoffice.com/hadisst/data/download.html
2025-06-08T22:04:07Z (local files)
2025-06-08T22:04:07Z https://coastwatch.pfeg.noaa.gov/erddap/zh-CN/griddap/erdHadISST_Lon0360.das";
    String infoUrl "http://hadobs.metoffice.com/";
    String institution "Met Office Hadley Centre";
    String keywords "centre, component, data, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, hadisst, hadley, ice, latitude, longitude, met, month, monthly, ocean, oceans, office, sea, sea_surface_temperature, sst, surface, temperature, time, version";
    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 89.5;
    String references "Rayner, N. A., Parker, D. E., Horton, E. B., Folland, C. K., Alexander, L. V., Rowell, D. P., Kent, E. C., Kaplan, A.  Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century J. Geophys. Res.Vol. 108, No. D14, 4407 10.1029/2002JD002670";
    String source "HadISST";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.5;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"The Met Office Hadley Centre's sea ice and sea surface temperature (SST) data set, HadISST1, replaces the Global sea Ice and Sea Surface Temperature (GISST) data sets, and is a unique combination of monthly globally-complete fields of SST and sea ice concentration on a 1 degree latitude-longitude grid from 1870 to date.        
        
WARNING: 10 March 2016: A detailed analysis of HadISST (https://ir.library.oregonstate.edu/xmlui/handle/1957/58385) has identified a number of problems, some of which might limit the utility of the dataset for certain scientific applications, particularly where high resolution SST data or spatial gradients of SST are required. Thanks to Dudley Chelton and Craig Risien for bringing this to our attention and their detailed analysis. 

The SST data are taken from the Met Office Marine Data Bank (MDB), which from 1982 onwards also includes data received through the Global Telecommunications System (GTS). In order to enhance data coverage, monthly median SSTs for 1871-1995 from the Comprehensive Ocean-Atmosphere Data Set (COADS) (now ICOADS) were also used where there were no MDB data.

HadISST1 temperatures are reconstructed using a two stage reduced-space optimal interpolation procedure, followed by superposition of quality-improved gridded observations onto the reconstructions to restore local detail. SSTs near sea ice are estimated using statistical relationships between SST and sea ice concentration.

Data restrictions: for academic research use only.

Updates and supplementary information will be available from http://www.hadobs.org";
    String supplementary_information "Updates and supplementary information will be available from https://www.metoffice.gov.uk/hadobs/hadisst";
    String time_coverage_end "2025-01-16T12:00:00Z";
    String time_coverage_start "1870-01-16T11:59:59Z";
    String title "HadISST Average Sea Surface Temperature, 1°, Global, Monthly, 1870-present, Lon0360";
    Float64 Westernmost_Easting 0.5;
  }
}

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

。

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。

（简单）您可以使用数据集的数据访问表单获取数据。它会为您生成 URL。
（简单）您可以使用数据集的“制作图表”表单制作图表或地图。它会为您生成 URL。
（不难）您可以绕过表格并获取数据，或者通过手动生成 URL 或使用计算机程序或脚本来制作图形或地图。

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.