制作图表

数据集标题:	FNMOC Sea Level Pressure for input to OSCURS Model, Longitude and Latitude
机构:	FNMOC, NOAA ERD (数据集 ID: erdlasFnOscursLL)
信息:	概括 \| 执照 \| ISO 19115 \| 元数据 \| 背景 \| 数据访问表

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图表类型:
X 轴:
Y 轴:
颜色:

方面

开始

Stop

图表设置
彩条:	连续性:	规模:
最低限度:	最大限度:	N 节:
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

)

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。

此数据集的数据集属性结构 (.das)

Attributes {
  y {
    Float32 actual_range 1.0, 92.0;
    String ioos_category "Location";
    String long_name "Y Index";
  }
  x {
    Float32 actual_range 1.0, 180.0;
    String ioos_category "Location";
    String long_name "X Index";
  }
  latitude {
    String ioos_category "Location";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String ioos_category "Location";
    String standard_name "longitude";
    String units "degrees_east";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "W. James Ingraham";
    String creator_type "person";
    String history 
"2025-06-07T21:30:04Z https://oceanview.pfeg.noaa.gov/thredds/dodsC/oscurs_model/oscurs_pressure.nc
2025-06-07T21:30:04Z https://coastwatch.pfeg.noaa.gov/griddap/erdlasFnOscursLL.das";
    String infoUrl "https://www.afsc.noaa.gov/REFM/docs/oscurs/get_to_know.htm";
    String institution "FNMOC, NOAA ERD";
    String keywords "erd, fnmoc, from, level, model, noaa, oscurs, pressure, sea";
    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 sourceUrl "https://oceanview.pfeg.noaa.gov/thredds/dodsC/oscurs_model/oscurs_pressure.nc";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"This dataset is used to convert x and y from the OSCURS model into longitude
and latitude.  The OSCURS numerical model is a research tool that allows
oceanographers and fisheries scientists to perform retrospective analyses of
daily ocean surface currents anywhere in a 90-km ocean-side grid from Baja
California to the Bering Strait.

ERD was established at the U.S. Navy Fleet Numerical Meteorology and
Oceanography Center (FNMOC) to take advantage of the Navy's global
oceanographic and meteorological databases. FNMOC produces operational
forecasts of the state of the atmosphere and the ocean several times daily
and maintains archives of several important parameters, such as sea level
pressure and temperature. ERD derives a number of well-known environmental
data and index products which are routinely distributed to researchers at
many state and federal laboratories, as well as to academic and international
researchers.";
    String title "FNMOC Sea Level Pressure for input to OSCURS Model, Longitude and Latitude";
  }
}

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.