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ERDDAP > griddap > 制作图表 ?

数据集标题:  Chlorophyll-a, Aqua MODIS, NPP, L3SMI, Global, 4km, R2022 NRT, 2003-present (1
Day Composite) Subscribe RSS
机构:  NASA/GSFC OBPG   (数据集 ID: erdMH1chla1day_R2022NRT)
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 →
    |< - >|
< <
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 1.646136e+9, 1.7490384e+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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 _FillValue NaN;
    Float32 actual_range -89.97917, 89.97916;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 _FillValue NaN;
    Float32 actual_range -179.9792, 179.9792;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  }
  chlorophyll {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String ioos_category "Ocean Color";
    String long_name "Chlorophyll Concentration, OCI Algorithm";
    String references "Hu, C., Lee Z., and Franz, B.A. (2012). Chlorophyll-a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference, J. Geophys. Res., 117, C01011, doi:10.1029/2011JC007395.";
    String standard_name "mass_concentration_of_chlorophyll_in_sea_water";
    String units "mg m-3";
    Float32 valid_max 100.0;
    Float32 valid_min 0.001;
  }
  NC_GLOBAL {
    String _lastModified "2025-06-05T13:21:38.000Z";
    String cdm_data_type "Grid";
    String Conventions "CF-1.6 ACDD-1.3, COARDS";
    String creator_email "data@oceancolor.gsfc.nasa.gov";
    String creator_name "NASA/GSFC/OBPG";
    String creator_type "group";
    String creator_url "https://oceandata.sci.gsfc.nasa.gov";
    String date_created "2025-06-05T13:21:38.000Z";
    Float64 Easternmost_Easting 179.9792;
    Float64 geospatial_lat_max 89.97916;
    Float64 geospatial_lat_min -89.97917;
    Float64 geospatial_lat_resolution 0.04166666589488307;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.9792;
    Float64 geospatial_lon_min -179.9792;
    Float64 geospatial_lon_resolution 0.041666674383609215;
    String geospatial_lon_units "degrees_east";
    String history 
"Files downloaded daily from https://oceandata.sci.gsfc.nasa.gov/directdataaccess/Level-3%20Mapped/Aqua-MODIS to NOAA SWFSC ERD (erd.data@noaa.gov) ERDDAP adds the time dimension.
2025-06-06T15:30:15Z (local files)
2025-06-06T15:30:15Z https://coastwatch.pfeg.noaa.gov/griddap/erdMH1chla1day_R2022NRT.das";
    String id "R2022.0.2/L3/AQUA_MODIS.20250604.L3b.DAY.CHL.NRT.nc";
    String identifier_product_doi "10.5067/AQUA/MODIS/L3M/CHL/2022";
    String identifier_product_doi_authority "https://dx.doi.org";
    String infoUrl "https://oceandata.sci.gsfc.nasa.gov";
    String institution "NASA/GSFC OBPG";
    String instrument "MODIS";
    String keywords "algorithm, aqua, biology, center, chemistry, chlor_a, chlorophyll, chlorophyllr, color, concentration, data, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Chemistry > Chlorophyllr, Earth Science > Oceans > Ocean Chemistry > Pigments > Chlorophyll, flight, goddard, group, gsfc, image, imaging, L3, level, level-3, mapped, mass, mass_concentration_of_chlorophyll_in_sea_water, moderate, modis, modisa, nasa, obpg, ocean, ocean color, oceans, oci, pigments, processing, resolution, science, sea, seawater, smi, space, spectroradiometer, standard, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String l2_flag_names "ATMFAIL,LAND,HILT,HISATZEN,STRAYLIGHT,CLDICE,COCCOLITH,LOWLW,CHLWARN,CHLFAIL,NAVWARN,MAXAERITER,ATMWARN,HISOLZEN,NAVFAIL,FILTER,HIGLINT";
    String license "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy/";
    String map_projection "Equidistant Cylindrical";
    String measure "Mean";
    String naming_authority "gov.nasa.gsfc.sci.oceandata";
    Float64 Northernmost_Northing 89.97916;
    String platform "Aqua";
    String processing_level "L3 Mapped";
    String processing_version "R2022.0.2";
    String product_name "AQUA_MODIS.20250604.L3m.DAY.CHL.chlor_a.4km.NRT.nc";
    String project "Ocean Biology Processing Group (NASA/GSFC/OBPG)";
    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 source "satellite observations from MODIS-Aqua";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.97917;
    String spatialResolution "4.638312 km";
    String standard_name_vocabulary "CF Standard Name Table v36";
    String summary "Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA) Level-3 Standard Mapped Image";
    String temporal_range "day";
    String time_coverage_end "2025-06-04T12:00:00Z";
    String time_coverage_start "2022-03-01T12:00:00Z";
    String title "Chlorophyll-a, Aqua MODIS, NPP, L3SMI, Global, 4km, R2022 NRT, 2003-present (1 Day Composite)";
    Float64 Westernmost_Easting -179.9792;
  }
}

 

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.


 
Translated by Google ?
ERDDAP ，版本2.27.0
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