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WWDH Reservoir Conditions


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Created: Jan 29, 2026 at 3:47 a.m. (UTC)
Last updated: Feb 05, 2026 at 2:12 p.m. (UTC)
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Content types: CSV Content 
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Abstract

This resource contains daily statistical summaries of reservoir storage conditions for reservoirs in the Reclamation Information Sharing Environment (RISE) network. Data is generated daily by querying the Western Water Data Hub (WWDH) API's Environmental Data Retrieval (EDR) endpoint for the rise-edr collection. Each daily file includes current storage values along with statistical benchmarks (percentiles, mean, standard deviation) calculated from historical data (1990-10-01 to 2020-09-30).

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Bureau of Reclamation Regions
North Latitude
50.8085°
East Longitude
-92.2852°
South Latitude
25.2124°
West Longitude
-127.5293°

Content

readme.md

Western Reservoir Conditions - Daily Data for Teacup Visualization

This resource contains daily CSV files of reservoir storage conditions across the western United States, generated for the Bureau of Reclamation reservoir teacup visualization dashboard. Each file provides current storage values alongside historical statistical benchmarks for 213 reservoirs.

Data Sources

Current storage values are fetched daily from multiple authoritative sources:

Source API Locations
RISE (Reclamation Information Sharing Environment) WWDH EDR API ~201 reservoirs
USACE (U.S. Army Corps of Engineers) CDA Timeseries API Cochiti, Abiquiu, Santa Rosa, Grand Coulee, Fort Peck, Lucky Peak
USGS (U.S. Geological Survey) NWIS Daily Values Lahontan, Boca, Prosser Creek, Stampede
CDEC (California Data Exchange Center) CDEC CSV Servlet Lake Tahoe

Historical statistics are derived from a 30-water-year baseline period: October 1, 1990 through September 30, 2020.

File Naming Convention

droughtData{YYYYMMDD}.csv where the date is the target observation date.

Example: droughtData20260203.csv contains conditions for February 3, 2026.

File Structure

Each CSV contains one row per reservoir location (213 total) with the following columns:

Column Description
SiteName Reservoir display name
Lat Latitude (decimal degrees)
Lon Longitude (decimal degrees)
State U.S. state
DoiRegion Department of the Interior region
Huc6 6-digit Hydrologic Unit Code
DataUnits Units of measurement (typically af or ac-ft for acre-feet)
DataValue Current storage value
DataDate Date of the observation (MM/DD/YYYY)
DateQueried Date the query was executed (MM/DD/YYYY)
DataDateMax Historical maximum for this calendar day
DataDateP90 90th percentile for this calendar day
DataDateP75 75th percentile for this calendar day
DataDateP50 50th percentile (median) for this calendar day
DataDateP25 25th percentile for this calendar day
DataDateP10 10th percentile for this calendar day
DataDateMin Historical minimum for this calendar day
DataDateAvg Historical mean for this calendar day
DataValuePctMdn Current value as ratio of median (DataValue / DataDateP50)
DataValuePctAvg Current value as ratio of average (DataValue / DataDateAvg)
StatsPeriod Historical baseline period (10/1/1990 - 9/30/2020)
MaxCapacity Maximum storage capacity (acre-feet)
PctFull Current value as ratio of capacity (DataValue / MaxCapacity)
TeacupUrl URL to teacup graphic (if available)
DataUrl API URL used to retrieve the current value
Comment Additional notes

Empty fields indicate data is not available for that location (e.g., reservoirs without historical statistics or without a current reading within the 7-day lookback window).

Update Frequency

Daily. The generating script targets yesterday's date by default and looks back up to 7 days to find the most recent valid measurement for each reservoir.

Processing Workflow

Data is generated by rezviz_data_generator.R in the teacup-generator repository, which:

  1. Loads location metadata for all 213 reservoirs from locations.geojson
  2. Loads pre-computed historical day-of-year statistics from a Parquet file
  3. Queries each reservoir's data source API for the most recent storage value
  4. Joins current values with historical percentiles for the target calendar day
  5. Computes derived metrics (percent of median, average, and capacity)
  6. Writes the output CSV and uploads it to this HydroShare resource

The script is containerized via Docker for reproducible daily runs:

bash docker build -t rezviz . docker run --env-file .env rezviz # yesterday (default) docker run --env-file .env rezviz 2026-01-15 # arbitrary date

Data Quality Notes

  • Current values may lag the target date by up to 7 days if recent data is unavailable from the source API.
  • Historical statistics are based on the 1990-2020 baseline period. Not all 213 reservoirs have historical data; those without will have empty statistical columns.
  • Reservoirs sourced from USACE return sub-daily data; the most recent value for the target date is used.
  • CDEC and USGS sources provide daily values.
  • The DataUrl column contains the exact API call used, enabling verification of any individual value.

Contact

Kyle Onda, Center for Geospatial Solutions, Lincoln Institute of Land Policy

Related Geospatial Features

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Related Resources

The content of this resource was created by a related App or software program https://github.com/cgs-earth/teacup-generator/tree/add-R-workflow/R-workflow

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
United States Bureau of Reclamation None None

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone Author Identifiers
Kyle Onda Internet of Water;Center for Geospatial Solutions;Lincoln Institute of Land Policy North Carolina, US

How to Cite

Onda, K. (2026). WWDH Reservoir Conditions, HydroShare, http://www.hydroshare.org/resource/22b2f10103e5426a837defc00927afbd

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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