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DOI | 10.1016/j.atmosres.2020.105053 |
Performance evaluation of Eta/HadGEM2-ES and Eta/MIROC5 precipitation simulations over Brazil | |
Almagro A.; Oliveira P.T.S.; Rosolem R.; Hagemann S.; Nobre C.A. | |
发表日期 | 2020 |
ISSN | 0169-8095 |
卷号 | 244 |
英文摘要 | Climate change effects can have significant impacts worldwide. Extreme events can modify water availability and agricultural production, making climate change planning an essential task. The National Institute for Space Research (INPE in Portuguese) in Brazil has made a large dataset of regional climate model outputs (simulations and projections) available, which opens up many possibilities of carrying out high-resolution climate change studies. However, there is still no performance evaluation of the model-derived rainfall output against high-resolution ground-based observation data considering the Brazilian biomes. This paper attempts to fill this gap and evaluates the simulated precipitation throughout Brazil. We used gridded observed precipitation data and historical climate simulations from the Model for Interdisciplinary Research on Climate, version 5 (MIROC5) and from the Hadley Center Global Environment Model, version 2 (HadGEM2-ES), which were downscaled by the Eta RCM (Regional Climate Model). For the overlapping period (1980–2005), there is good agreement (PBIAS up to 10%) of downscaled annual simulations for the Amazon and Cerrado biomes and large biases (reaching 40%) in the Pampa biome, compared to the observations. Our results showed that HadGEM2-ES is capable of representing long-term mean monthly precipitation for large areas well, such as the Amazon and Cerrado. Furthermore, the Eta RCM has considerably improved the driving GCM MIROC5 simulations. In conclusion, we recommend using the HadGEM2-ES simulations for the Amazon, Eta/HadGEM2-ES for the Atlantic Forest, Cerrado, and Pampa, and Eta/MIROC5 for the Caatinga and Pantanal. Our study provides an overview of two downscaled simulation datasets in Brazil that may help verify the models' suitability for further climate change assessments. © 2020 Elsevier B.V. |
英文关键词 | Climate change; General circulation model; Rainfall; Regional climate model |
语种 | 英语 |
scopus关键词 | Agricultural robots; Agriculture; Climate models; Electric power system interconnection; Large dataset; Precipitation (meteorology); Space research; Agricultural productions; Climate change assessment; Climate simulation; Ground-based observations; Interdisciplinary research; Precipitation data; Regional climate modeling; Water availability; Climate change; climate change; climate effect; climate modeling; computer simulation; performance assessment; precipitation assessment; regional climate; Brazil |
来源期刊 | Atmospheric Research
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/141860 |
作者单位 | Federal University of Mato Grosso do Sul, CxP 549, Campo Grande, MS 79070-900, Brazil; University of Bristol, Faculty of Engineering, University Walk, Clifton, BS8 1TR, United Kingdom; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research, Max-Planck Str. 1, Geesthacht, 21502, Germany; University of São Paulo, Institute of Advanced Studies, São Paulo, SP 05508-970, Brazil |
推荐引用方式 GB/T 7714 | Almagro A.,Oliveira P.T.S.,Rosolem R.,et al. Performance evaluation of Eta/HadGEM2-ES and Eta/MIROC5 precipitation simulations over Brazil[J],2020,244. |
APA | Almagro A.,Oliveira P.T.S.,Rosolem R.,Hagemann S.,&Nobre C.A..(2020).Performance evaluation of Eta/HadGEM2-ES and Eta/MIROC5 precipitation simulations over Brazil.Atmospheric Research,244. |
MLA | Almagro A.,et al."Performance evaluation of Eta/HadGEM2-ES and Eta/MIROC5 precipitation simulations over Brazil".Atmospheric Research 244(2020). |
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