ERDDAP > griddap > 制作图表

数据集标题:	Multi-scale Ultra-high Resolution (MUR) SST Daily Climatology 2003-2014, fv04. 1, Global, 0.01°
机构:	NOAA NMFS SWFSC ERD and NOAA NESDIS CoastWatch WCRN   (数据集 ID: jplMURSST41clim)
信息:	概括 | 执照 | FGDC | ISO 19115 | 元数据 | 背景 | 数据访问表 | 文件

 

图表类型:  lines linesAndMarkers markers sticks surface vectors X 轴:  dayOfYear latitude longitude Y 轴:  dayOfYear latitude longitude 颜色:  mean_sst standard_deviation   方面    开始    Stop dayOfYear (count)     仅指定 1 个值 → latitude (degrees_north) longitude (degrees_east)   图表设置 彩条:  BlackBlueWhite BlackGreenWhite BlackRedWhite BlackWhite BlueWhiteRed BlueWideWhiteRed LightRainbow Ocean OceanDepth Rainbow Rainbow2 Rainfall ReverseRainbow RedWhiteBlue RedWhiteBlue2 RedWideWhiteBlue Spectrum Topography TopographyDepth WhiteBlueBlack WhiteGreenBlack WhiteRedBlack WhiteBlack YellowRed KT_algae KT_amp KT_balance KT_curl KT_deep KT_delta KT_dense KT_gray KT_haline KT_ice KT_matter KT_oxy KT_phase KT_solar KT_speed KT_tempo KT_thermal KT_turbid EK80  连续性:  Continuous Discrete  规模:  Linear Log    最低限度:   最大限度:   N 节:  2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 绘制陆地遮罩:  under over outline off Y 轴最小值:   最大限度:    Ascending Descending Linear Log   重新绘制图表 （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: .parquet .nc .asc .jsonlCSV1 .csvp .json .smallPng .fgdc .tsv0 .itx .wav .odvTxt .largePng .png .smallPdf .timeGaps .iso19115 .parquetWMeta .mat .nccsvMetadata .jsonlCSV .jsonlKVP .tsv .dods .das .transparentPng .tsvp .dds .largePdf .pdf .nccsv .ncml .esriAscii .kml .csv0 .csv .xhtml .htmlTable .ncoJson .ncHeader .geotif (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:

 

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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：

• 网页作者可以使用 HTML <img> 标签在网页中嵌入最新数据的图表。
• 任何人都可以使用ERDDAP的幻灯片分类器来构建个人网页，该网页以自己的可拖动幻灯片形式显示包含最新数据（或其他图像或 HTML 内容）的图表。
   

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此数据集的数据集属性结构 (.das)

Attributes {
  dayOfYear {
    Int16 actual_range 1, 365;
    String ioos_category "Time";
    String long_name "Day Of Year";
    String units "count";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.99, 89.99;
    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 -179.99, 180.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  mean_sst {
    Float32 _FillValue -7.768;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String comment "climatological mean of MUR SST 2003-2014";
    String ioos_category "Temperature";
    String long_name "2003-2014 Climatological Mean Sea Surface Temperature";
    String standard_name "sea_surface_foundation_temperature";
    String units "degree_C";
    Float32 valid_max 57.767;
    Float32 valid_min -7.767;
  }
  standard_deviation {
    Float32 _FillValue -327.68;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "standard deviation of mean_sst";
    String units "degree_C";
    Float32 valid_max 327.67;
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "erd.data@noaa.gov";
    String creator_name "NOAA NMFS SWFSC ERD and NOAA NESDIS CoastWatch WCRN";
    String creator_type "institution";
    String creator_url "https://www.pfeg.noaa.gov/guest_book.html";
    Float64 Easternmost_Easting 180.0;
    Float64 geospatial_lat_max 89.99;
    Float64 geospatial_lat_min -89.99;
    Float64 geospatial_lat_resolution 0.01;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 180.0;
    Float64 geospatial_lon_min -179.99;
    Float64 geospatial_lon_resolution 0.01;
    String geospatial_lon_units "degrees_east";
    String history 
"This JPL MUR SST daily climatology v4.1 (2003-2014) is from 
ftp://mariana.jpl.nasa.gov/mur_sst/tmchin/seasonal/ .
2025-06-07T12:30:16Z (local files)
2025-06-07T12:30:16Z https://coastwatch.pfeg.noaa.gov/griddap/jplMURSST41clim.das";
    String infoUrl "https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1";
    String institution "NOAA NMFS SWFSC ERD and NOAA NESDIS CoastWatch WCRN";
    String keywords "2003-2014, climatological, climatology, data, deviation, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, foundation, ghrsst, global, high, jet, laboratory, mean, mean_sst, multi, multi-scale, mur, ocean, oceans, propulsion, resolution, scale, sea, sea_surface_foundation_temperature, sst, standard, standard_deviation, statistics, surface, temperature, ultra, ultra-high";
    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 naming_authority "gov.noaa.pfeg.coastwatch";
    Float64 Northernmost_Northing 89.99;
    String platform "Aqua, DMSP, NOAA-POES, Suomi-NPP, Terra";
    String publisher_email "erd.data@noaa.gov";
    String publisher_name "NOAA NMFS SWFSC ERD and NOAA NESDIS CoastWatch WCRN";
    String publisher_url "https://www.pfeg.noaa.gov/guest_book.html";
    String sensor "AMSR-E, AVHRR, MODIS, SSM/I, VIIRS, in-situ";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.99;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "This JPL MUR SST daily climatology v4.1 (2003-2014) is from  ftp://mariana.jpl.nasa.gov/mur_sst/tmchin/seasonal/ and is based on the Jet Propulsion Laboratory's (JPL) Multi-scale Ultra-high Resolution (MUR), merged, multi-sensor L4 v4.1 Foundation SST analysis product (part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project).";
    String title "Multi-scale Ultra-high Resolution (MUR) SST Daily Climatology 2003-2014, fv04.1, Global, 0.01°";
    Float64 Westernmost_Easting -179.99;
  }
}

 

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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 数据访问协议 (DAP ) 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.

 

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