Downscaling climate projections: A method to tackle spatial and temporal variability associated with quasi-periodic signals and first two statistical moments

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we introduce a statistical downscaling method that incorporates the spatial and temporal variability associated with quasi-periodic climate signals, such as ENSO, by using Multichannel Singular Spectrum Analysis (M-SSA). In addition, the method preserves the expected values and variances of downscaled climate variables. The lump value of a climate variable is dissagregated over a grid of higher spatial resolution by using time series projections calculated on a cell-by-cell basis. To do this, we use a stochastic model consisting of the sum of the mean value, a quasi-periodic component related to climate signals, and a random component associated with the residual variance of historic records. The technique is employed to downscale standardized precipitation values, from historic records and projections of coupled climate models, taking into account the variability associated with ENSO.

Original languageEnglish (US)
Title of host publicationWorld Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008
Volume316
DOIs
StatePublished - 2008
EventWorld Environmental and Water Resources Congress 2008: Ahupua'a - Honolulu, HI, United States
Duration: May 12 2008May 16 2008

Other

OtherWorld Environmental and Water Resources Congress 2008: Ahupua'a
CountryUnited States
CityHonolulu, HI
Period5/12/085/16/08

Fingerprint

Climate models
climate signal
downscaling
Stochastic models
Spectrum analysis
El Nino-Southern Oscillation
Time series
Statistical methods
climate
climate modeling
spatial resolution
time series
method
analysis
preserve

Keywords

  • Climatic changes
  • Hydrologic models
  • Statistics

ASJC Scopus subject areas

  • Management, Monitoring, Policy and Law
  • Water Science and Technology
  • Pollution

Cite this

Cañón, J., Dominguez, F., & Valdes, J. B. (2008). Downscaling climate projections: A method to tackle spatial and temporal variability associated with quasi-periodic signals and first two statistical moments. In World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008 (Vol. 316) https://doi.org/10.1061/40976(316)520

Downscaling climate projections : A method to tackle spatial and temporal variability associated with quasi-periodic signals and first two statistical moments. / Cañón, Julio; Dominguez, Francina; Valdes, Juan B.

World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008. Vol. 316 2008.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cañón, J, Dominguez, F & Valdes, JB 2008, Downscaling climate projections: A method to tackle spatial and temporal variability associated with quasi-periodic signals and first two statistical moments. in World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008. vol. 316, World Environmental and Water Resources Congress 2008: Ahupua'a, Honolulu, HI, United States, 5/12/08. https://doi.org/10.1061/40976(316)520
Cañón J, Dominguez F, Valdes JB. Downscaling climate projections: A method to tackle spatial and temporal variability associated with quasi-periodic signals and first two statistical moments. In World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008. Vol. 316. 2008 https://doi.org/10.1061/40976(316)520
Cañón, Julio ; Dominguez, Francina ; Valdes, Juan B. / Downscaling climate projections : A method to tackle spatial and temporal variability associated with quasi-periodic signals and first two statistical moments. World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008. Vol. 316 2008.
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