DOI: 10.1175/JCLI-D-16-0720.1
Scopus记录号: 2-s2.0-85017109557
论文题名: Assessment of MERRA-2 land surface hydrology estimates
作者: Reichle R.H. ; Draper C.S. ; Liu Q. ; Girotto M. ; Mahanama S.P.P. ; Koster R.D. ; De Lannoy G.J.M.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2017
卷: 30, 期: 8 起始页码: 2937
结束页码: 2960
语种: 英语
Scopus关键词: Digital storage
; Geodetic satellites
; Hydrology
; Moisture
; Satellite imagery
; Snow
; Soil moisture
; Soils
; Surface measurement
; Land surface
; Land surface conditions
; Land surface modeling
; Probability of detection
; Reanalysis
; Root zone soil moistures
; Snow covers
; Terrestrial water storage
; Soil surveys
英文摘要: The MERRA-2 atmospheric reanalysis product provides global, 1-hourly estimates of land surface conditions for 1980-present at ~50-km resolution. MERRA-2 uses observations-based precipitation to force the land (unlike its predecessor, MERRA). This paper evaluates MERRA-2 and MERRA land hydrology estimates, along with those of the land-only MERRA-Land and ERA-Interim/Land products, which also use observations-based precipitation. Overall, MERRA-2 land hydrology estimates are better than those of MERRA-Land and MERRA. A comparison against GRACE satellite observations of terrestrial water storage demonstrates clear improvements in MERRA-2 over MERRA in South America and Africa but also reflects known errors in the observations used to correct the MERRA-2 precipitation. Validation against in situ measurements from 220-320 stations in North America, Europe, and Australia shows that MERRA-2 and MERRA-Land have the highest surface and root zone soil moisture skill, slightly higher than that of ERA-Interim/Land and higher than that of MERRA (significantly for surface soil moisture). Snow amounts from MERRA-2 have lower bias and correlate better against reference data from the Canadian Meteorological Centre than do those of MERRA-Land and MERRA, with MERRA-2 skill roughly matching that of ERA-Interim/Land. Validation with MODIS satellite observations shows that MERRA-2 has a lower snow cover probability of detection and probability of false detection than MERRA, owing partly to MERRA-2's lower midwinter, midlatitude snow amounts and partly to MERRA-2's revised snow depletion curve parameter compared to MERRA. Finally, seasonal anomaly R values against naturalized streamflow measurements in the United States are, on balance, highest for MERRA-2 and ERA-Interim/Land, somewhat lower for MERRA-Land, and lower still for MERRA (significantly in four basins). © 2017 American Meteorological Society. 资助项目: NASA, National Aeronautics and Space Administration
; USDA, U.S. Department of Agriculture
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/49710
Appears in Collections: 气候变化事实与影响
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作者单位: Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, United States; GESTAR, Universities Space Research Association, Columbia, MD, United States; Science Systems and Applications, Lanham, MD, United States; Department of Earth and Environmental Sciences, KU Leuven, Heverlee, Belgium
Recommended Citation:
Reichle R.H.,Draper C.S.,Liu Q.,et al. Assessment of MERRA-2 land surface hydrology estimates[J]. Journal of Climate,2017-01-01,30(8)