Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-17-0121.1 |
Assessment of MERRA-2 Land Surface Energy Flux Estimates | |
Draper, Clara S.1,2,3,4; Reichle, Rolf H.2; Koster, Randal D.2 | |
2018 | |
发表期刊 | JOURNAL OF CLIMATE |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2018 |
卷号 | 31期号:2页码:671-691 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | In the Modern-Era Retrospective Analysis for Research and Applications version 2 (MERRA-2) system the land is forced by replacing the model-generated precipitation with observed precipitation before it reaches the surface. This approach is motivated by the expectation that the resultant improvements in soil moisture will lead to improved land surface latent heating (LH). Here aspects of the MERRA-2 land surface energy budget and 2-m air temperatures T-2m are assessed. For global land annual averages, MERRA-2 appears to overestimate the LH (by 5Wm(-2)), the sensible heating (by 6Wm(-2)), and the downwelling shortwave radiation (by 14Wm(-2)) while underestimating the downwelling and upwelling (absolute) longwave radiation (by 10-15Wm(-2) each). These results differ only slightly from those for NASA's previous reanalysis, MERRA. Comparison to various gridded reference datasets over boreal summer (June-August) suggests that MERRA-2 has particularly large positive biases (>20Wm(-2)) where LH is energy limited and that these biases are associated with evaporative fraction biases rather than radiation biases. For time series of monthly means during boreal summer, the globally averaged anomaly correlations Ranom with reference data were improved from MERRA to MERRA-2, for LH (from 0.39 to 0.48 vs Global Land Evaporation Amsterdam Model data) and the daily maximum T-2m (from 0.69 to 0.75 vs Climatic Research Unit data). In regions where T-2m is particularly sensitive to the precipitation corrections (including the central United States, the Sahel, and parts of South Asia), the changes in the T-2m Ranom are relatively large, suggesting that the observed precipitation influenced the T-2m performance. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000425164800012 |
WOS关键词 | SOIL WETNESS ; SATELLITE ; ASSIMILATION ; MODEL ; EVAPOTRANSPIRATION ; PRECIPITATION ; EVAPORATION ; CARBON ; GAUGE ; WATER |
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/20166 |
专题 | 气候变化 |
作者单位 | 1.Univ Space Res Assoc, GESTAR, Greenbelt, MD 20771 USA; 2.NASA, Global Modeling & Assimilat Off, Greenbelt, MD 20771 USA; 3.NOAA ESRL, Div Phys Sci, Boulder, CO 20771 USA; 4.CIRES, Boulder, CO 20771 USA |
推荐引用方式 GB/T 7714 | Draper, Clara S.,Reichle, Rolf H.,Koster, Randal D.. Assessment of MERRA-2 Land Surface Energy Flux Estimates[J]. JOURNAL OF CLIMATE,2018,31(2):671-691. |
APA | Draper, Clara S.,Reichle, Rolf H.,&Koster, Randal D..(2018).Assessment of MERRA-2 Land Surface Energy Flux Estimates.JOURNAL OF CLIMATE,31(2),671-691. |
MLA | Draper, Clara S.,et al."Assessment of MERRA-2 Land Surface Energy Flux Estimates".JOURNAL OF CLIMATE 31.2(2018):671-691. |
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