Regional probabilistic climate forecasts from a multithousand multimodel ensemble of simulations

A methodology for constraining climate forecasts, developed for application to the multithousand member perturbed physics ensemble of simulations completed by the distributed computing project ClimatePrediction.net, is here presented in detail. The methodology is extended to produce constrained fore...

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Main Authors: Piani, C, Sanderson, B, Giorgi, F, Frame, D, Christensen, C, Allen, M
Format: Journal article
Language:English
Published: American Geophysical Union 2007
Subjects:
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author Piani, C
Sanderson, B
Giorgi, F
Frame, D
Christensen, C
Allen, M
author_facet Piani, C
Sanderson, B
Giorgi, F
Frame, D
Christensen, C
Allen, M
author_sort Piani, C
collection OXFORD
description A methodology for constraining climate forecasts, developed for application to the multithousand member perturbed physics ensemble of simulations completed by the distributed computing project ClimatePrediction.net, is here presented in detail. The methodology is extended to produce constrained forecasts of mean surface temperature and precipitation within 21 land-based regions and is validated with climate simulations from other models available from the IPCC (AR4) data set. The mean forecasted values of temperature and precipitation largely confirm prior results for the same regions. In particular, precipitation in the Mediterranean basin is shown to decrease and temperature over northern Europe is shown to increase with comparatively little uncertainty in the forecast (i.e., with tight constraints). However, in some cases the forecasts show large uncertainty, and there are few cases where the forecasts cannot be constrained at all. These results illustrate the effectiveness of the methodology and its applicability to regional climate variables.
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spelling oxford-uuid:3ec3de2f-0cb2-4e67-b560-340f6c6ae4732022-03-26T14:27:33ZRegional probabilistic climate forecasts from a multithousand multimodel ensemble of simulationsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:3ec3de2f-0cb2-4e67-b560-340f6c6ae473Climate systems and policyEnvironmentEnglishOxford University Research Archive - ValetAmerican Geophysical Union2007Piani, CSanderson, BGiorgi, FFrame, DChristensen, CAllen, MA methodology for constraining climate forecasts, developed for application to the multithousand member perturbed physics ensemble of simulations completed by the distributed computing project ClimatePrediction.net, is here presented in detail. The methodology is extended to produce constrained forecasts of mean surface temperature and precipitation within 21 land-based regions and is validated with climate simulations from other models available from the IPCC (AR4) data set. The mean forecasted values of temperature and precipitation largely confirm prior results for the same regions. In particular, precipitation in the Mediterranean basin is shown to decrease and temperature over northern Europe is shown to increase with comparatively little uncertainty in the forecast (i.e., with tight constraints). However, in some cases the forecasts show large uncertainty, and there are few cases where the forecasts cannot be constrained at all. These results illustrate the effectiveness of the methodology and its applicability to regional climate variables.
spellingShingle Climate systems and policy
Environment
Piani, C
Sanderson, B
Giorgi, F
Frame, D
Christensen, C
Allen, M
Regional probabilistic climate forecasts from a multithousand multimodel ensemble of simulations
title Regional probabilistic climate forecasts from a multithousand multimodel ensemble of simulations
title_full Regional probabilistic climate forecasts from a multithousand multimodel ensemble of simulations
title_fullStr Regional probabilistic climate forecasts from a multithousand multimodel ensemble of simulations
title_full_unstemmed Regional probabilistic climate forecasts from a multithousand multimodel ensemble of simulations
title_short Regional probabilistic climate forecasts from a multithousand multimodel ensemble of simulations
title_sort regional probabilistic climate forecasts from a multithousand multimodel ensemble of simulations
topic Climate systems and policy
Environment
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