Universidad de Costa Rica
  • Sobre Kérwá
  • Acceso Abierto
  • Cómo Depositar
  • Políticas
  • Contacto
    • español
    • English
  • English 
    • español
    • English
  • Login
View Item 
  •   Kérwá Home
  • Investigación
  • Ciencias básicas
  • Meteorología
  • View Item
  •   Kérwá Home
  • Investigación
  • Ciencias básicas
  • Meteorología
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Downscaling With Constructed Analogues: Daily Precipitation and Temperature Fields Over The United States

informe de investigación
Thumbnail
View/Open
Versión final (2.243Mb)
Date
2008-01
Author
Hidalgo León, Hugo G.
Dettinger, Michael D.
Cayan, Daniel R.
Metadata
Show full item record
Abstract
Daily precipitation and average temperature patterns for the contiguous United States were downscaled from a 2.5 x 2.5 degree (coarse) resolution grid to a 1/8 x 1/8 degree (fine) resolution grid using a constructed‐analogues method. Choice of predictors, and the selection of subsets of most‐suitable historical dates to be included in the constructed analogues proved to be important determinants of the method’s skill, especially for precipitation. The downscaling method skillfully reproduces daily variations of precipitation and average temperature anomalies, as well as seasonal cycles, across the contiguous United States. The method tends to overestimate the number of wet days, producing a very light “drizzle” on many of the effectively dry days. There are also biases in the monthly climatologies of precipitation and average temperature in some regions, which tend to average out at annual timescales. Averaging daily downscaled patterns into monthly means yielded even more skillful results, capturing about 55 percent of the variations of monthly precipitation anomalies and about 80 percent of the variations of average temperature monthly anomalies across the contiguous United States. The choice of the domain of the predictor also influences the skill. For example, in California, the most skillful precipitation downscaling was obtained when the precipitation predictors covered the state, whereas average temperature downscaling was most skillful when average temperature predictors included continent‐wide patterns. Overall, the method showed encouraging results for downscaling daily precipitation and average temperature continentalwide patterns in North America—in particular, those of the western United States.
URI
https://hdl.handle.net/10669/29838
https://www.sciencebase.gov/catalog/item/517014cae4b05024ef3cd6c5
Collections
  • Meteorología [384]



  • Repositorios universitarios

  • Repositorio del SIBDI-UCR
  • Biblioteca Digital del CIICLA
  • Repositorio Documental Rafael Obregón Loría (CIHAC)
  • Biblioteca Digital Carlos Melendez (CIHAC)
  • Repositorio de Fotografías
  • Colección de videos de UPA-VAS
  • Sitios recomendados

  • Buscador regional de LA Referencia
  • Buscador del Open ROAR
  • Scientific Electronic Library Online (SciELO)
  • Directory of Open Access Journals (DOAJ)
  • Redalyc
  • Redes sociales

  • facebook.com/repositoriokerwa
  • @Ciencia_UCR
  • Sobre Kérwá
  • Acceso Abierto
  • Cómo depositar
  • Políticas
Contact Us | Send Feedback
Repositorio Institucional de la Universidad de Costa Rica. Algunos derechos reservados. Este repositorio funciona con DSpace.
 

 

Browse

All of KérwáCommunities & CollectionsTitlesAuthorsSubjectsProcedenceTypeThis CollectionTitlesAuthorsSubjectsProcedenceType

My Account

LoginRegister

Statistics

View Usage Statistics

  • Repositorios universitarios

  • Repositorio del SIBDI-UCR
  • Biblioteca Digital del CIICLA
  • Repositorio Documental Rafael Obregón Loría (CIHAC)
  • Biblioteca Digital Carlos Melendez (CIHAC)
  • Repositorio de Fotografías
  • Colección de videos de UPA-VAS
  • Sitios recomendados

  • Buscador regional de LA Referencia
  • Buscador del Open ROAR
  • Scientific Electronic Library Online (SciELO)
  • Directory of Open Access Journals (DOAJ)
  • Redalyc
  • Redes sociales

  • facebook.com/repositoriokerwa
  • @Ciencia_UCR
  • Sobre Kérwá
  • Acceso Abierto
  • Cómo depositar
  • Políticas
Contact Us | Send Feedback
Repositorio Institucional de la Universidad de Costa Rica. Algunos derechos reservados. Este repositorio funciona con DSpace.