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DOI | 10.1002/joc.4728 |
Bias-corrected data sets of climate model outputs at uniform space-time resolution for land surface modelling over Amazonia | |
Moghim, Sanaz1; McKnight, Shawna L.1; Zhang, Ke2; Ebtehaj, Ardeshir M.3; Knox, Ryan G.4; Bras, Rafael L.1; Moorcroft, Paul R.5; Wang, Jingfeng1 | |
2017-02-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
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ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2017 |
卷号 | 37期号:2 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Developing high-quality long-term data sets at uniform space-time resolution is essential for improved climate studies. This article processes the outputs from two global and regional climate models, the Community Climate System Model (CCSM3) and the Regional Climate Model driven by the Hadley Centre Coupled Model (RegCM3). The results are bias-corrected time series of atmospheric variables corresponding to Intergovernmental Panel on Climate Change (IPCC's) historical (20C3M) and future (A2) climate scenarios over the Amazon Basin. We use a series of simple but effective interpolation approaches to produce hourly climate data sets at 1 degrees by 1 degrees grid cells. A quantile-based mapping approach is used to reduce the biases of temperature and precipitation in CCSM3 and RegCM3. Adjustments are also made on specific humidity and downwelling longwave radiation to avoid inconsistency between those variables and bias-corrected temperature values. We also interpolated an already bias-corrected Parallel Climate Model data set (PCM1) from 3-hourly to the hourly resolution. The final climate data sets can be used as forcing of ecosystem and hydrologic models to study climate changes and impact assessments over the Amazon Basin. |
英文关键词 | General Circulation Models bias correction climate data sets climate simulations climate change Amazon Basin |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000393415100006 |
WOS关键词 | GLOBAL CLIMATE ; CHANGE SCENARIOS ; EL-NINO ; THUNDERSTORM FREQUENCIES ; SEASONAL CYCLE ; PRECIPITATION ; DEFORESTATION ; ATMOSPHERE ; IMPACT ; SIMULATIONS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/36993 |
专题 | 气候变化 |
作者单位 | 1.Georgia Inst Technol, Sch Civil & Environm Engn, North Ave NW, Atlanta, GA 30332 USA; 2.Univ Oklahoma, Cooperat Inst Mesoscale Meteorol Studies, Norman, OK 73019 USA; 3.Utah State Univ, Dept Civil & Environm Engn, Utah Water Res Lab, Logan, UT 84322 USA; 4.Lawrence Berkeley Natl Lab, Div Earth Sci, Berkeley, CA USA; 5.Harvard Univ, Dept Organism & Evolutionary Biol, Cambridge, MA 02138 USA |
推荐引用方式 GB/T 7714 | Moghim, Sanaz,McKnight, Shawna L.,Zhang, Ke,et al. Bias-corrected data sets of climate model outputs at uniform space-time resolution for land surface modelling over Amazonia[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2017,37(2). |
APA | Moghim, Sanaz.,McKnight, Shawna L..,Zhang, Ke.,Ebtehaj, Ardeshir M..,Knox, Ryan G..,...&Wang, Jingfeng.(2017).Bias-corrected data sets of climate model outputs at uniform space-time resolution for land surface modelling over Amazonia.INTERNATIONAL JOURNAL OF CLIMATOLOGY,37(2). |
MLA | Moghim, Sanaz,et al."Bias-corrected data sets of climate model outputs at uniform space-time resolution for land surface modelling over Amazonia".INTERNATIONAL JOURNAL OF CLIMATOLOGY 37.2(2017). |
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