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Köppen bioclimatic evaluation of CMIP historical climate simulations

Dados Bibliográficos

ID15549809
AutoresThomas J Phillips (0000-0001-5165-4045, Lawrence Livermore National Laboratory, autor correspondente), C Bonfils (0000-0002-4674-5708, Lawrence Livermore National Laboratory), Céline J W Bonfils
Ano2015
Volume10
Fascículo6
Páginas064005-064005
Data de publicação2015-06-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoEnvironmental Research Letters (JOURNAL)
Identificadores do periódicoISSN: 1748-9326 • E-ISSN: 1748-9326
EditoraIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/10/6/064005
OpenAlexW2109296717
IdiomaEN
Citações recebidas2
Referências citadas47

Köppen bioclimatic classification relates generic vegetation types to characteristics of the interactive annual-cycles of continental temperature (T) and precipitation (P). In addition to predicting possible bioclimatic consequences of past or prospective climate change, a Köppen scheme can be used to pinpoint biases in model simulations of historical T and P. In this study a Köppen evaluation of Coupled Model Intercomparison Project (CMIP) simulations of historical climate is conducted for the period 1980–1999. Evaluation of an example CMIP5 model illustrates how errors in simulating Köppen vegetation types (relative to those derived from observational reference data) can be deconstructed and related to model-specific temperature and precipitation biases. Measures of CMIP model skill in simulating the reference Köppen vegetation types are also developed, allowing the bioclimatic performance of a CMIP5 simulation of T and P to be compared quantitatively with its CMIP3 antecedent. Although certain bioclimatic discrepancies persist across model generations, the CMIP5 models collectively display an improved rendering of historical T and P relative to their CMIP3 counterparts. Additionally, the Köppen-based performance metrics are found to be quite insensitive to alternative choices of observational reference data or to differences in model horizontal resolution

Climate change · Climate model · Climatology · Coupled model intercomparison project · Geography · Meteorology · Precipitation · Vegetation (pathology · Climate variability and models · Environmental Science · Plant Water Relations and Carbon Dynamics · Tree-ring climate responses · Geology

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Obras citantes distintas2
Citações por ano0,33
Intervalo de citações2020 - 2021 (2)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 2
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