How to use? 
  • Source: Cal-Adapt. Data: Extended Drought Scenarios, LOCA Downscaled Climate Projections, VIC generated climate variables forced by LOCA (Scripps Institution of Oceanography), Gridded Historical Observed Meteorological and Hydrological Data (University of Colorado, Boulder).

Data Sources

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Extended Drought Scenarios

Scripps Institution Of Oceanography - University of California, San Diego

Projections for two 20-year drought scenarios derived from LOCA downscaled meteorological and hydrological simulations: one for the earlier part of the 21st century, and one for the latter part. Details are described in Pierce et al., 2018.

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LOCA Downscaled Climate Projections for Temperature & Precipitation for HadGEM2-ES RCP 8.5

Scripps Institution Of Oceanography - University of California, San Diego

Projected daily minimum and maximum temperature and daily precipitation data. These data were statistically downscaled from global climate model from the CMIP5 archive at a 1/16º (approximately 6 km) spatial resolution on a daily timescale using the LOCA technique. Details are described in Pierce et al., 2014.

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Climate Variables generated by VIC model forced by LOCA Downscaled Climate Projections for HadGEM2-ES RCP 8.5

Scripps Institution Of Oceanography - University of California, San Diego

LOCA downscaled projections of daily precipitation and minimum and maximum temperature are used to drive a land surface/hydrology model, the Variable Infiltration Capacity (VIC) Model to provide high-resolution projections for a suite of hydrological parameters. The VIC model was originally developed by Xu Liang at the University of Washington. Details are described in Pierce et al., 2014.

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Gridded Historical Observed Meteorological and Hydrological Data

University of Colorado, Boulder

Historical observed daily temperature and precipitation data from approximately 20,000 NOAA Cooperative Observer (COOP) stations form the basis of this gridded dataset from 1950–2013 at a spatial resolution of 1/16º (approximately 6 km). Observation-based meteorological data sets offer insights into changes to the hydro-climatic system by diagnosing spatio-temporal characteristics and providing a historical baseline for future projections. Details are described in Livneh et al., 2015.

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Additional Calculations

Geospatial Innovation Facility - University of California, Berkeley

In order to create data layers used in this visualization, we calculated annual averages of daily values of Maximum Temperature, Minimum Temperature, Precipitation (LOCA climate variables) and Evapotranspiration, Snow Water Equivalent, Runoff, Baseflow, Tair (VIC climate variables) for each calendar year and each water year. This process was done for each of the 32 LOCA downscaled climate models for the RCP 8.5 scenario.

An envelope of modeled variability for each climate variable were generated by selecting the highest and lowest values from annual averages of all the 32 LOCA downscaled climate models.

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