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Dataset Title:  Snow Water Equivalent Subscribe RSS
Institution:  NOAA NWFSC   (Dataset ID: cciea_HB_SWE)
Range: time = 1910-01-01T00:00:00Z to 2023-01-01T00:00:00Z
Information:  Summary ? | License ? | Metadata | Background (external link) | Subset | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
   
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Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")
 
Graph Settings
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Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    [The graph you specified. Please be patient.]

 

Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -1.893456e+9, 1.6725312e+9;
    String axis "T";
    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";
  }
  SWE_anomaly {
    Float32 actual_range -2.247798, 2.482258;
    String ioos_category "Other";
    String long_name "Columbia Glaciated";
    String units "April 1 anomaly";
  }
  location {
    String ioos_category "Other";
  }
  SEup {
    Float32 actual_range -1.724626, 3.53293;
    String ioos_category "Other";
  }
  SElo {
    Float32 actual_range -3.017607, 1.931373;
    String ioos_category "Other";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String contributor_email "correigh.greene@noaa.gov";
    String contributor_name "Greene, Munsch";
    String Conventions "COARDS, CF-1.6, ACDD-1.3, NCCSV-1.1";
    String defaultGraphQuery "time,SWE_anomaly&location=\"Columbia Glaciated\"&.draw=linesAndMarkers";
    String history 
"last updated: 2024-01-18 13:21:56
2024-05-03T22:18:57Z (local files)
2024-05-03T22:18:57Z http://upwell.pfeg.noaa.gov/tabledap/cciea_HB_SWE.das";
    String infoUrl "https://www.integratedecosystemassessment.noaa.gov/regions/california-current/about-california-current-integrated-ecosystem-assessment";
    String institution "NOAA NWFSC";
    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 subsetVariables "location";
    String summary "Snow-water equivalent data were derived from the California Department of Water Resources snow survey (http://cdec.water.ca.gov/) and the Natural Resources Conservation Service's SNOTEL sites in WA, OR, CA and ID from sites with records that meet or exceed 30 years in duration (http://www.wcc.nrcs.usda.gov/snow/). Additional Calculations: Anomalies of April 1 snow-water equivalents (SWE) for the CCE, calculated as an area-weighted average of data from the Columbia Glaciated ecoregion. SWE is a measure of the total water available in snowpack. Measurements on April 1st are considered the best indicator of maximum extent of snowpack.;Snow-water equivalent data were derived from the California Department of Water Resources snow survey (http://cdec.water.ca.gov/) and the Natural Resources Conservation Service's SNOTEL sites in WA, OR, CA and ID from sites with records that meet or exceed 30 years in duration (http://www.wcc.nrcs.usda.gov/snow/). Additional Calculations: Anomalies of April 1 snow-water equivalents (SWE) for the CCE, calculated as an area-weighted average of data from the Columbia Unglaciated ecoregion. SWE is a measure of the total water available in snowpack. Measurements on April 1st are considered the best indicator of maximum extent of snowpack.;Snow-water equivalent data were derived from the California Department of Water Resources snow survey (http://cdec.water.ca.gov/) and the Natural Resources Conservation Service's SNOTEL sites in WA, OR, CA and ID from sites with records that meet or exceed 30 years in duration (http://www.wcc.nrcs.usda.gov/snow/). Additional Calculations: Anomalies of April 1 snow-water equivalents (SWE) for the CCE, calculated as an area-weighted average of data from the OR & No. CA coastal ecoregion. SWE is a measure of the total water available in snowpack. Measurements on April 1st are considered the best indicator of maximum extent of snowpack.;Snow-water equivalent data were derived from the California Department of Water Resources snow survey (http://cdec.water.ca.gov/) and the Natural Resources Conservation Service's SNOTEL sites in WA, OR, CA and ID from sites with records that meet or exceed 30 years in duration (http://www.wcc.nrcs.usda.gov/snow/). Additional Calculations: Anomalies of April 1 snow-water equivalents (SWE) for the CCE, calculated as an area-weighted average of data from the Sacramento-San Joaquin ecoregion. SWE is a measure of the total water available in snowpack. Measurements on April 1st are considered the best indicator of maximum extent of snowpack.;Snow-water equivalent data were derived from the California Department of Water Resources snow survey (http://cdec.water.ca.gov/) and the Natural Resources Conservation Service's SNOTEL sites in WA, OR, CA and ID from sites with records that meet or exceed 30 years in duration (http://www.wcc.nrcs.usda.gov/snow/). Additional Calculations: Anomalies of April 1 snow-water equivalents (SWE) for the CCE, calculated as an area-weighted average of data from the Salish Sea ecoregion. SWE is a measure of the total water available in snowpack. Measurements on April 1st are considered the best indicator of maximum extent of snowpack.";
    String time_coverage_end "2023-01-01T00:00:00Z";
    String time_coverage_start "1910-01-01T00:00:00Z";
    String title "Snow Water Equivalent";
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://upwell.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://upwell.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.


 
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