Rosebud Sioux Tribe Decision Dashboard

Since 2016, HPRCC, along with several partners, has worked with the Rosebud Sioux Tribe in south-central South Dakota through a partnership with the Great Plains Tribal Water Alliance. Through the Bureau of Indian Affairs-funded projects, the HPRCC provided climate information training to tribal environmental professionals and co-produced a series of quarterly climate summaries to help them make better informed on-reservation water management decisions. This Decision Dashboard is a supplement to the summaries, allowing for more real-time monitoring of climate and drought conditions.

Current Conditions Outlooks Historical Climate Climate Summaries

Current Conditions - Temperature and Precipitation

14-Day Temp Departure
30-Day Temp Departure
60-Day Temp Departure
Last 3-Month Temp Departure
14-Day % of Normal Precip
30-Day % of Normal Precip
60-Day % of Normal Precip
Last 3-Month % of Normal Precip

Current Conditions - Soil Moisture and Streamflow

NLDAS Soil Moisture
South Dakota 28-Day Average Streamflow Compared to Historical Streamflow on this Day

Daily Soil Summary

Current Conditions - Drought and Vegetation

U.S. Drought Monitor
Vegetation Drought Response Index (VegDRI)

Evaporative Demand Drought Index (EDDI)

1 Month
3 Month
6 Month

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Outlooks - Temperature, Precipitation, and Drought

3-Month Temperature Outlook
3-Month Precipitation Outlook
Seasonal Drought Outlook

Outlooks - Significant Wildland Fire


Outlooks - Flooding

Minor Flooding
Moderate Flooding
Major Flooding

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Historical Climate

30-Year Normals
50-Year Climate Atlas
30-Year County Averages
(Temperature and Precipitation)
Station Data Access via scACIS

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Climate Summaries

Rosebud Sioux Tribe Climate and Drought Summaries

Select Report

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Climate products and tools are developed by the HPRCC and its partner Regional Climate Centers to provide users with a means to routinely access recent weather and climate data. While applied research has demonstrated that the use of such data in decision making can reduce risk and lower a user's cost, it must be pointed out that near-real-time data are preliminary in nature and sometimes contain errors. Although care is taken to remove known errors, it is possible that some data will change after receipt of written records and final quality control steps. Users are therefore forewarned to consider any negative impact that errant data might have on their business and use preliminary data and information at their own risk.

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