Köppen bioclimatic evaluation of CMIP historical climate simulations
Dados Bibliográficos
| ID | 15549809 |
|---|---|
| Autores | Thomas 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 |
| Ano | 2015 |
| Volume | 10 |
| Fascículo | 6 |
| Páginas | 064005-064005 |
| Data de publicação | 2015-06-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Environmental Research Letters (JOURNAL) |
| Identificadores do periódico | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Editora | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/10/6/064005 |
| OpenAlex | W2109296717 |
| Idioma | EN |
| Citações recebidas | 2 |
| Referências citadas | 47 |
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 distintas | 2 |
|---|---|
| Citações por ano | 0,33 |
| Intervalo de citações | 2020 - 2021 (2) |
| Velocidade de citação | historical |
| Altamente citado | Não |
| Tipos de citação | Neutras: 2 |