气候变化领域集成服务门户(CCPortal): Version 4 of the SMAP Level-4 Soil Moisture Algorithm and Data Product

CCPortal

DOI	10.1029/2019MS001729
	Version 4 of the SMAP Level-4 Soil Moisture Algorithm and Data Product
	Reichle R.H.; Liu Q.; Koster R.D.; Crow W.T.; De Lannoy G.J.M.; Kimball J.S.; Ardizzone J.V.; Bosch D.; Colliander A.; Cosh M.; Kolassa J.; Mahanama S.P.; Prueger J.; Starks P.; Walker J.P.
发表日期	2019
ISSN	19422466
起始页码	3106
结束页码	3130
卷号	11 期号:10
英文摘要	The NASA Soil Moisture Active Passive (SMAP) mission Level-4 Soil Moisture (L.4_SM) product provides global, 3-hourly, 9-km resolution estimates of surface (0–5 cm) and root zone (0–100 cm) soil moisture with a mean latency of ~2.5 days. The underlying L4_SM algorithm assimilates SMAP radiometer brightness temperature (Tb) observations into the NASA Catchment land surface model using a spatially distributed ensemble Kalman filter. In Version 4 of the L4_SM modeling system the upward recharge of surface soil moisture from below under nonequilibrium conditions was reduced, resulting in less bias and improved dynamic range of L4_SM surface soil moisture compared to earlier versions. This change and additional technical modifications to the system reduce the mean and standard deviation of the observation-minus-forecast Tb residuals and overall soil moisture analysis increments while maintaining the skill of the L4_SM soil moisture estimates versus independent in situ measurements; the average, bias-adjusted root-mean-square error in Version 4 is 0.039 m3/m3 for surface and 0.026 m3/m3 for root zone soil moisture. Moreover, the coverage of assimilated SMAP observations in Version 4 is near global owing to the use of additional satellite Tb records for algorithm calibration. L4_SM soil moisture uncertainty estimates are biased low (by 0.01–0.02 m3/m3) against actual errors (computed versus in situ measurements). L4_SM runoff estimates, an additional product of the L4_SM algorithm, are biased low (by 35 mm/year) against streamflow measurements. Compared to Version 3, bias in Version 4 is reduced by 46% for surface soil moisture uncertainty estimates and by 33% for runoff estimates. © 2019. The Authors.
英文关键词	Catchment land surface model; data assimilation; L-band passive microwave; runoff; soil moisture; Soil Moisture Active Passive
语种	英语
scopus关键词	Catchments; Mean square error; NASA; Reactor cores; Runoff; Soil moisture; Surface measurement; Uncertainty analysis; Data assimilation; Land surface modeling; Mean and standard deviations; Nonequilibrium conditions; Passive microwaves; Root mean square errors; Root zone soil moistures; Soil moisture active passive (SMAP); Soil surveys; algorithm; brightness temperature; data assimilation; land surface; radiometer; rhizosphere; runoff; soil moisture; streamflow
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156851
作者单位	Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Science Systems and Applications, Inc., Lanham, MD, United States; Hydrology and Remote Sensing Laboratory, Agricultural Research Service, USDA, Beltsville, MD, United States; Department of Earth and Environmental Sciences, KU Leuven, Heverlee, Belgium; NTSG, University of Montana, Missoula, MT, United States; Southeast Watershed Research, Agricultural Research Service, USDA, Tifton, GA, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; GESTAR, Universities Space Research Association, Columbia, MD, United States; National Laboratory for Agriculture and the Environment, Agricultural Research Service, USDA, Ames, IA, United States; Grazinglands Research Laboratory, Agricultural Research Service, USDA, El Reno, OK, United States; Department of Civil Engineering, Monash University, Clayton, VIC, Australia
推荐引用方式 GB/T 7714	Reichle R.H.,Liu Q.,Koster R.D.,et al. Version 4 of the SMAP Level-4 Soil Moisture Algorithm and Data Product[J],2019,11(10).
APA	Reichle R.H..,Liu Q..,Koster R.D..,Crow W.T..,De Lannoy G.J.M..,...&Walker J.P..(2019).Version 4 of the SMAP Level-4 Soil Moisture Algorithm and Data Product.Journal of Advances in Modeling Earth Systems,11(10).
MLA	Reichle R.H.,et al."Version 4 of the SMAP Level-4 Soil Moisture Algorithm and Data Product".Journal of Advances in Modeling Earth Systems 11.10(2019).