LOCA Downscaled Climate Projections
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:
- Modeled Variability Envelope (Max)
- Modeled Variability Envelope (Min)
Spatial Resolution and Extent
The spatial resolution of this data is 1/16º (approximately 6 km). The spatial extent available on Cal-Adapt covers entire state of California and Nevada and parts of Oregon, Mexico and Arizona.
- Daily data and annual averages.
- The historical modeled period is 1950–2005 and the two future scenarios are from 2006–2100 (although some models stop in 2099).
- Download data for 32 models (CMIP5) and 3 scenarios (RCP4.5, RCP8.5, Historical Modeled) in NetCDF4 format from Cal-Adapt Data Server maintained by the Geopspatial Innovation Facility, UC Berkeley.
- Original set of files in NetCDF format are available from Lawrence Livermore National Laboratory Green Data Oasis.
- The LOCA downscaling was done on NASA supercomputers, and the data is available on NASA OpenNEX.
- US Geological Survey Geo Data Portal provides THREDDS access to LOCA data.