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ERDDAP > tabledap > 制作图表 ?

数据集标题:  North Pacific High, Pre-conditioning Cumulative Upwelling Index, 1967 - 2013 Subscribe RSS
机构:  NOAA ERD   (数据集 ID: erdPcui)
范围: time = 1967-07-01 到 2013-07-01
信息:  概括 ? | 执照 ? | 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: 
-1+1
 
约束 ? 选修的
约束 #1 ?
选修的
约束 #2 ?
       
       
       
       
       
 
服务器端函数 ?
 distinct() ?
? ("将鼠标悬停在此处可查看选项列表。单击某个选项即可将其选中。将鼠标悬停在此处可查看选项列表。单击某个选项即可将其选中。将鼠标悬停在此处可查看选项列表。单击某个选项即可将其选中。将鼠标悬停在此处可查看选项列表。单击某个选项即可将其选中。")
 
图表设置
标记类型:   尺寸: 
颜色: 
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 {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -7.9056e+7, 1.3726368e+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 time_precision "1970-01-01";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  pcui33N {
    Float32 actual_range 1041.0, 4200.0;
    String ioos_category "Physical Oceanography";
    String long_name "PCUI at 33N";
    String units "m^3 s^-1 100m^-1";
  }
  pcui36N {
    Float32 actual_range 486.0, 4893.0;
    String ioos_category "Physical Oceanography";
    String long_name "PCUI at 36N";
    String units "m^3 s^-1 100m^-1";
  }
  pcui39N {
    Float32 actual_range 223.0, 4634.0;
    String ioos_category "Physical Oceanography";
    String long_name "PCUI at 39N";
    String units "m^3 s^-1 100m^-1";
  }
  pcui42N {
    Float32 actual_range 86.0, 2208.0;
    String ioos_category "Physical Oceanography";
    String long_name "PCUI at 42N";
    String units "m^3 s^-1 100m^-1";
  }
  pcui45N {
    Float32 actual_range 28.0, 864.0;
    String ioos_category "Physical Oceanography";
    String long_name "PCUI at 45N";
    String units "m^3 s^-1 100m^-1";
  }
  pcui48N {
    Float32 actual_range 10.0, 1276.0;
    String ioos_category "Physical Oceanography";
    String long_name "PCUI at 48N";
    String units "m^3 s^-1 100m^-1";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String defaultDataQuery "time,pcui33N,pcui36N,pcui39N,pcui42N,pcui45N,pcui48N";
    String defaultGraphQuery "time,pcui33N&.draw=linesAndMarkers";
    String history 
"2025-05-05T16:25:04Z (local files)
2025-05-05T16:25:04Z https://coastwatch.pfeg.noaa.gov/tabledap/erdPcui.das";
    String id "erdPcui";
    String infoUrl "https://onlinelibrary.wiley.com/doi/10.1002/grl.50100/abstract";
    String institution "NOAA ERD";
    String keywords "centered, conditioning, data, index, pcui, time, upwelling";
    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 "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Variations in large-scale atmospheric forcing influence upwelling dynamics and ecosystem productivity in the California Current System (CCS). In this paper, we characterize interannual variability of the North Pacific High over 40 years and investigate how variation in its amplitude and position affect upwelling and biology. We develop a winter upwelling \"pre-conditioning\" index and demonstrate its utility to understanding biological processes. Variation in the winter NPH can be well described by its areal extent and maximum pressure, which in turn is predictive of winter upwelling. Our winter pre-conditioning index explained 64% of the variation in biological responses (fish and seabirds). Understanding characteristics of the NPH in winter is therefore critical to predicting biological responses in the CCS.";
    String time_coverage_end "2013-07-01";
    String time_coverage_start "1967-07-01";
    String title "North Pacific High, Pre-conditioning Cumulative Upwelling Index, 1967 - 2013";
  }
}

 

使用 tabledap 从表格数据集请求数据和图表

tabledap允许您通过特殊格式的 URL 从表格数据集(例如浮标数据)中请求数据子集、图表或地图tabledap使用OPeNDAP  (external link)数据访问协议 (DAP )  (external link)及其选择约束 (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。

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
Translated by Google ?
ERDDAP ,版本2.26
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