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Literature DB >> 16433088

Probabilistic prediction of climate using multi-model ensembles: from basics to applications.

T N Palmer¹, F J Doblas-Reyes, R Hagedorn, A Weisheimer.

Abstract

The development of multi-model ensembles for reliable predictions of inter-annual climate fluctuations and climate change, and their application to health, agronomy and water management, are discussed.

Mesh：

Year: 2005 PMID： 16433088 PMCID： PMC1569575 DOI： 10.1098/rstb.2005.1750

Source DB: PubMed Journal: Philos Trans R Soc Lond B Biol Sci ISSN： 0962-8436 Impact factor: 6.237

4 in total

1. Quantifying the risk of extreme seasonal precipitation events in a changing climate.

Authors: T N Palmer; J Räisänen
Journal: Nature Date: 2002-01-31 Impact factor: 49.962

2. Quantification of modelling uncertainties in a large ensemble of climate change simulations.

Authors: James M Murphy; David M H Sexton; David N Barnett; Gareth S Jones; Mark J Webb; Matthew Collins; David A Stainforth
Journal: Nature Date: 2004-08-12 Impact factor: 49.962

3. Uncertainty in predictions of the climate response to rising levels of greenhouse gases.

Authors: D A Stainforth; T Aina; C Christensen; M Collins; N Faull; D J Frame; J A Kettleborough; S Knight; A Martin; J M Murphy; C Piani; D Sexton; L A Smith; R A Spicer; A J Thorpe; M R Allen
Journal: Nature Date: 2005-01-27 Impact factor: 49.962

4. Malaria early warnings based on seasonal climate forecasts from multi-model ensembles.

Authors: M C Thomson; F J Doblas-Reyes; S J Mason; R Hagedorn; S J Connor; T Phindela; A P Morse; T N Palmer
Journal: Nature Date: 2006-02-02 Impact factor: 49.962

4 in total

5 in total

Probabilistic prediction of climate using multi-model ensembles: from basics to applications.

1. Quantifying the risk of extreme seasonal precipitation events in a changing climate.

2. Quantification of modelling uncertainties in a large ensemble of climate change simulations.

3. Uncertainty in predictions of the climate response to rising levels of greenhouse gases.

4. Malaria early warnings based on seasonal climate forecasts from multi-model ensembles.

Review 1. Introduction: food crops in a changing climate.

2. Diagnostic Evaluation and Preparation of the Reference Information for River Restoration in South Korea.

3. Skilful decadal-scale prediction of fish habitat and distribution shifts.

4. Spatio-temporal predictions of COVID-19 test positivity in Uppsala County, Sweden: a comparative approach.

5. Improving the visual communication of environmental model projections.