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The contributions of PMIP to the IPCC assessment reports

Masa KageyamaCLIM - Modélisation du climat (LSCE. CEA Paris-Saclay. Orme des merisiers. 91190 Saint-Aubin. - France)Ayako Abe‐OuchiAtmosphere and Ocean research Institute , The University of Tokyo , JapanJ. D. AnnanblueSkiesresearch , Settle , UKPascale BraconnotLaboratoire des Sciences du Climat et de l'EnvironnementC. M. BrierleyUniversity College London , UKJ. Fidel González‐RoucoDepartment of Earth Physics and Astrophysics ,J. C. HargreavesblueSkiesresearch , Settle , UKSandy P. HarrisonSchool of Archaeology, Geography and Environmental Science (SAGES) , University of reading , UKSylvie JoussaumeLSCE - Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (Bât. 12, avenue de la Terrasse, F-91198 GIF-SUR-YVETTE CEDEX - France)Daniel J. LuntSchool of Geographical Sciences , University of bristol , UKBette L. Otto‐BliesnerMaisa RojasDepartment of Geophysics , University of Chile , Santiago , Chile
2021en
ABI

Annotatsiya

PMIP contributed to the Intergovernmental Panel on Climate Change (IPCC) Assessment Reports (ARs) by placing current climate change into a wider context, evaluating climate model performance in very different climatic states, and constraining climate sensitivity based on paleoclimates.Before PMIP back in 1990 when the First Assessment report (FAr) of the Intergovernmental Panel for Climate Change (IPCC; Houghton et al. 1990) was published, PMIP did not exist.However, in its fourth chapter, entitled "Validation of climate models", the report drew on the pioneering results from CLIMAP Project Members (1981), who produced the first set of boundary conditions for LGM experiments, and COHMAP Members (1988), who produced paleodata syntheses and model simulations for key periods between the LGM and present.It stated that "studies of paleoclimate changes are an important element in climate model validation for two reasons: (1) they improve our physical understanding of the causes and mechanisms of large climatic changes so that we can improve the representation of the appropriate processes in the models, and (2) they provide unique data sets for model validation."

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