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ERDDAP > griddap > 制作图表 ?

数据集标题:  Daily estimated MUR SST v4.1 Frontal edges, x_gradient, y_gradient and
gradient magnitude, US West Coast, 2002-present Subscribe RSS
机构:  NOAA NMFS SWFSC ERD   (数据集 ID: erdMurFront41USWest)
信息:  概括 ? | 执照 ? | FGDC | ISO 19115 | 元数据 | 背景 （外部链接） | 数据访问表 | 文件
 
图表类型:  ?
X 轴:  ?
Y 轴:  ?
颜色:  ?
 
方面 ?    开始 ?    Stop ?
time (UTC) ?     仅指定 1 个值 →
    |< - >|
< <
altitude (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 1.0228896e+9, 1.7489952e+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";
  }
  altitude {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    Float32 actual_range 0.0, 0.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Altitude";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 22.0, 51.0;
    String axis "Y";
    String grid_mapping "Equidistant Cylindrical";
    String ioos_category "Location";
    String long_name "Latitude";
    String reference_datum "geographical coordinates, WGS84 projection";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 51.0;
    Float32 valid_min 22.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -135.0, -105.0;
    String axis "X";
    String grid_mapping "Equidistant Cylindrical";
    String ioos_category "Location";
    String long_name "Longitude";
    String reference_datum "geographical coordinates, WGS84 projection";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max -105.0;
    Float32 valid_min -135.0;
  }
  magnitude_gradient {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String colorBarPalette "KT_amp";
    String grid_mapping "LatLon_Projection";
    String ioos_category "Temperature";
    String long_name "Magnitude of SST Gradient";
    Float32 missing_value NaN;
  }
  edges {
    Int16 _FillValue 32767;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String colorBarPalette "KT_amp";
    String grid_mapping "LatLon_Projection";
    String ioos_category "Temperature";
    String long_name "Frontal Edge";
    Int16 missing_value 32767;
  }
  x_gradient {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum -1.0;
    String colorBarPalette "KT_balance";
    String grid_mapping "LatLon_Projection";
    String ioos_category "Temperature";
    String long_name "East-West Gradient of SST";
    Float32 missing_value NaN;
  }
  y_gradient {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum -1.0;
    String colorBarPalette "KT_balance";
    String grid_mapping "LatLon_Projection";
    String ioos_category "Temperature";
    String long_name "North-South Gradient of SST";
    Float32 missing_value NaN;
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.9.1,hdf5=1.12.2";
    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";
    String creator_type "institution";
    String creator_url "https://www.pfeg.noaa.gov";
    Float64 Easternmost_Easting -105.0;
    Float64 geospatial_lat_max 51.0;
    Float64 geospatial_lat_min 22.0;
    Float64 geospatial_lat_resolution 0.01;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -105.0;
    Float64 geospatial_lon_min -135.0;
    Float64 geospatial_lon_resolution 0.01;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 0.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "up";
    String geospatial_vertical_units "m";
    String history 
"created from MUR SST file 20250604090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.ncusing python scikit-image canny algorithm, sigma = 10, thresholds of 0.8, 0.9 and OpenCV findContours function with minimum length 20
2025-06-07T12:56:32Z (local files)
2025-06-07T12:56:32Z https://coastwatch.pfeg.noaa.gov/griddap/erdMurFront41USWest.das";
    String infoUrl "https://www.pfeg.noaa.gov";
    String institution "NOAA NMFS SWFSC ERD";
    String keywords "altitude, daily, data, day, east, east-west, edge, edges, erd, estimated, frontal, gradient, high, magnitude, magnitude_gradient, multi, multi-scale, mur, noaa, north, north-south, resolution, scale, sea, south, sst, surface, temperature, time, ultra, ultra-high, west, x_gradient, y_gradient";
    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 51.0;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 22.0;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Front Edges estimated from daily Multi-scale Ultra-high Resolution (MUR) Sea Surface Temperature (SST) v4.1 files using the Python scikit-image canny algorithm with sigma = 10., and threshold values of .8 and .9, as well as the OpenCV algorithm findContours with a minimum length of 20. The SST x-gradient, y-gradient and gradient magnitude are also included";
    String testOutOfDate "now-4days";
    String time_coverage_end "2025-06-04T00:00:00Z";
    String time_coverage_start "2002-06-01T00:00:00Z";
    String title "Daily estimated MUR SST v4.1 Frontal edges, x_gradient, y_gradient and gradient magnitude, US West Coast, 2002-present";
    Float64 Westernmost_Easting -135.0;
  }
}

 

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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