NOAA The NOAA GEO-IDE UAF ERDDAP
Easier access to scientific data
log in | ?    
Brought to you by NOAA NMFS SWFSC ERD    

ERDDAP > tabledap > Make A Graph ?

Dataset Title:  CVTEMP: Historical Predictions Subscribe RSS
Institution:  NOAA/SWFSC Fisheries Ecology Division   (Dataset ID: cvtempHindcast)
Information:  Summary ? | License ? | Metadata | Background (external link) | Subset | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
   
- +
       
       
       
       
 
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
Color: 
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";
    String axis "T";
    String ioos_category "Time";
    String long_name "Time (PST)";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Dist {
    Float32 actual_range 0.0, 464000.0;
    String ioos_category "Location";
    String long_name "Distance downstream from KWK gauge";
    String units "meters";
  }
  River_Temperature {
    Float32 actual_range 4.854067, 28.69662;
    String ioos_category "Temperature";
    String long_name "Predicted daily average river temperature over RAFT grid";
    String units "Deg C";
  }
  River_Discharge {
    Float32 actual_range 81.77006, 3787.382;
    String ioos_category "Other";
    String long_name "Predicted daily average river discharge over RAFT grid";
    String units "meter cubed per second";
  }
  Air_Temperature_Inputs {
    Float32 actual_range -5.135719, 34.96133;
    String ioos_category "Temperature";
    String long_name "Predicted daily average air temperature over RAFT grid";
    String units "Deg C";
  }
  Solar_Radiation {
    Float32 actual_range 4.39163, 403.3624;
    String ioos_category "Heat Flux";
    String long_name "Predicted daily average downward solar radiation over RAFT grid";
    String units "watts sqaure meter";
  }
  Wind_Speed {
    Float32 actual_range 0.2479919, 22.43615;
    String ioos_category "Wind";
    String long_name "Predicted daily average wind speed over RAFT grid";
    String units "meter per second";
  }
  Relative_Humidity {
    Float32 actual_range 0.1131857, 1.0;
    String ioos_category "Other";
    String long_name "Predicted daily average relative humidity over RAFT grid";
    String units "percent";
  }
  Channel_Area {
    Float32 actual_range 35.74058, 5820.055;
    String ioos_category "Other";
    String long_name "Predicted daily average channel area over RAFT grid";
    String units "square meters";
  }
  Channel_Width {
    Float32 actual_range 23.47107, 2108.525;
    String ioos_category "Other";
    String long_name "Predicted daily average channel width over RAFT grid";
    String units "meters";
  }
  Channel_Depth {
    Float32 actual_range 0.5176316, 9.628106;
    String ioos_category "Other";
    String long_name "Predicted daily average channel depth over RAFT grid";
    String units "meters";
  }
  Channel_Velocity {
    Float32 actual_range 0.1185379, 3.837681;
    String ioos_category "Other";
    String long_name "Predicted daily average channel velocity over RAFT grid";
    String units "meters per second";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "CF-1.6, ACDD-1.3, COARDS, NCCSV-1.1";
    String CreationTime "2019-10-23 12:07:51";
    String creator_email "Lynn.Dewitt@noaa.gov";
    String defaultGraphQuery "time%2CRiver_Temperature&Dist=0&.draw=lines";
    String Hindcast_Year "2017";
    String history 
"2024-04-27T07:44:55Z (local files)
2024-04-27T07:44:55Z http://upwell.pfeg.noaa.gov/tabledap/cvtempHindcast.das";
    String infoUrl "https://oceanview.pfeg.noaa.gov/CVTEMP";
    String institution "NOAA/SWFSC Fisheries Ecology Division";
    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 ModelType "Assimilated_Hindcast";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String StationIdentifier "RAFT_Grid";
    String StationName "Grid from KWK to below Red Bluff";
    String subsetVariables "Dist";
    String summary "Historical predictions of river temperature and other variables from 1990-2017. The River Assessment for Forecasting Temperature (RAFT) model is a one-dimensional heat budget model for the Sacramento River. RAFT takes the discharge temperature and flow from Keswick Dam and applies meteorological forcings from weather forecasts and historical conditions to predict the downstream temperatures for every two-kilometers of river at a sub-hourly timestep. RAFT has been run retrospectively to produce the temperature landscape for the entire river from 1990-2016. RAFT can be run in forecast mode for operations, where it predicts water temperatures 7 days out. RAFT can also be run in planning mode, where it takes output from various planning scenarios and predicts water temperatures for the entire temperature management season (February through October). One of the primary advantages of the RAFT model is that it allows for the detailed estimating of thermal exposure of salmon redds by location - which allows for calculating the egg development time and survival probability (see Survival tab). The RAFT model was developed with funding from NASA Applied Sciences and the details of the RAFT model are described in Pike et al. 2013";
    String title "CVTEMP: Historical Predictions";
  }
}

 

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.


 
ERDDAP, Version 2.23
Disclaimers | Privacy Policy | Contact