--- - attrs: .reference_type: 0 Abstract: 'A new technique for statistically downscaling climate model simulations of daily temperature and precipitation is introduced and demonstrated over the western United States. The localized constructed analogs (LOCA) method produces downscaled estimates suitable for hydrological simulations using a multiscale spatial matching scheme to pick appropriate analog days from observations. First, a pool of candidate observed analog days is chosen by matching the model field to be downscaled to observed days over the region that is positively correlated with the point being downscaled, which leads to a natural independence of the downscaling results to the extent of the domain being downscaled. Then, the one candidate analog day that best matches in the local area around the grid cell being downscaled is the single analog day used there. Most grid cells are downscaled using only the single locally selected analog day, but locations whose neighboring cells identify a different analog day use a weighted combination of the center and adjacent analog days to reduce edge discontinuities. By contrast, existing constructed analog methods typically use a weighted average of the same 30 analog days for the entire domain. By greatly reducing this averaging, LOCA produces better estimates of extreme days, constructs a more realistic depiction of the spatial coherence of the downscaled field, and reduces the problem of producing too many light-precipitation days. The LOCA method is more computationally expensive than existing constructed analog techniques, but it is still practical for downscaling numerous climate model simulations with limited computational resources.' Author: David W. Pierce; Daniel R. Cayan; Bridget L. Thrasher DOI: 10.1175/jhm-d-14-0082.1 Issue: 6 Journal: Journal of Hydrometeorology Keywords: 'Hydrometeorology,Climate models,Hydrologic models,Land surface model,Atmosphere-land interaction,Regional effects' Pages: 2558-2585 Title: Statistical downscaling using Localized Constructed Analogs (LOCA) Volume: 15 Year: 2014 _record_number: 21028 _uuid: 62c66ef3-cddb-4797-ba0e-5672fbcc27b3 reftype: Journal Article child_publication: /article/10.1175/jhm-d-14-0082.1 href: https://data.globalchange.gov/reference/62c66ef3-cddb-4797-ba0e-5672fbcc27b3.yaml identifier: 62c66ef3-cddb-4797-ba0e-5672fbcc27b3 uri: /reference/62c66ef3-cddb-4797-ba0e-5672fbcc27b3 - attrs: .reference_type: 10 Author: 'Sun, Liqiang; Kunkel, Kenneth E.; Stevens, Laura E.; Buddenberg, Andrew; Dobson, J.Greg; Easterling, David R.' DOI: 10.7289/V5RB72KG Pages: 111 Publisher: 'National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service' Report Number: NOAA Technical Report NESDIS 144 Title: 'Regional Surface Climate Conditions in CMIP3 and CMIP5 for the United States: Differences, Similarities, and Implications for the U.S. National Climate Assessment' URL: https://docs.lib.noaa.gov/noaa_documents/NESDIS/TR_NESDIS/TR_NESDIS_144.pdf Year: 2015 _record_number: 19332 _uuid: b63c9720-f770-4718-89cc-53b3616e2bec reftype: Report child_publication: /report/noaa-techreport-nesdis-144 href: https://data.globalchange.gov/reference/b63c9720-f770-4718-89cc-53b3616e2bec.yaml identifier: b63c9720-f770-4718-89cc-53b3616e2bec uri: /reference/b63c9720-f770-4718-89cc-53b3616e2bec