Downscaled climate projections from Scripps Institution Of Oceanography using Localized Constructed Analogs (LOCA). LOCA is a statistical technique that uses past history to add improved fine-scale detail to global climate models. Details are described in Pierce et al., 2014.

Cal-Adapt provides access to 10 of the 32 LOCA downscaled global climate models with two future scenarios RCP 4.5 and RCP 8.5 and a historical modeled scenario through the Cal-Adapt API. These 10 models were selected by California agencies for performance in the California/Nevada region. For more details on this process see Perspectives and Guidance for Climate Change Analysis. Data for 31 models is available in NetCDF format from the Cal-Adapt Data Server.

Additionally, an envelope of modeled variability was generated by selecting the highest and lowest values from annual averages of all 32 LOCA downscaled climate models. This envelope is available as two different time series:

Spatial Resolution and Extent

The spatial resolution of this data is 1/16ยบ (approximately 6 km). The spatial extent available on Cal-Adapt covers entire state of California and Nevada and parts of Oregon, Mexico and Arizona.

Temporal Resolution

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Climate Variable
Scenario
Period
Model