Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016JD026099 |
Global soil moisture bimodality in satellite observations and climate models | |
Vilasa, L.1; Miralles, D. G.1,2; de Jeu, R. A. M.1,3; Dolman, A. J.1 | |
2017-04-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:8 |
文章类型 | Article |
语种 | 英语 |
国家 | Netherlands; Belgium |
英文摘要 | A new diagnostic metric based on soil moisture bimodality is developed in order to examine and compare soil moisture from satellite observations and Earth System Models. The methodology to derive this diagnostic is based on maximum likelihood estimator encoded into an iterative algorithm, which is applied to the soil moisture probability density function. This metric is applied to satellite data from the Advanced Microwave Scanning Radiometer for the Earth Observing System and global climate models data from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Results show high soil moisture bimodality in transitional climate areas and high latitudes, potentially associated with land-atmosphere feedback processes. When comparing satellite versus climate models, a clear difference in their soil moisture bimodality is observed, with systematically higher values in the case of CMIP5 models. These differences appear related to areas where land-atmospheric feedback may be overestimated in current climate models. |
英文关键词 | soil moisture bimodality climate models satellite soil moisture land-atmosphere interactions CMIP5 |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000401180800010 |
WOS关键词 | LAND-SURFACE MODEL ; ATMOSPHERE COUPLING EXPERIMENT ; PREFERENTIAL STATES ; PART I ; PRECIPITATION ; IMPACT ; MIXTURE ; SYSTEM ; GLACE ; HEAT |
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/32260 |
专题 | 气候变化 |
作者单位 | 1.Vrije Univ Amsterdam, Dept Earth Sci, Amsterdam, Netherlands; 2.Univ Ghent, Lab Hydrol & Water Management, Ghent, Belgium; 3.VanderSat BV, Haarlem, Netherlands |
推荐引用方式 GB/T 7714 | Vilasa, L.,Miralles, D. G.,de Jeu, R. A. M.,et al. Global soil moisture bimodality in satellite observations and climate models[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(8). |
APA | Vilasa, L.,Miralles, D. G.,de Jeu, R. A. M.,&Dolman, A. J..(2017).Global soil moisture bimodality in satellite observations and climate models.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(8). |
MLA | Vilasa, L.,et al."Global soil moisture bimodality in satellite observations and climate models".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.8(2017). |
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