干旱区生态环境知识资源中心(Arid): Soil Moisture Active Passive Improves Global Soil Moisture Simulation in a Land Surface Scheme and Reveals Strong Irrigation Signals Over Farmlands

Arid

DOI	10.1029/2021GL092658
	Soil Moisture Active Passive Improves Global Soil Moisture Simulation in a Land Surface Scheme and Reveals Strong Irrigation Signals Over Farmlands
	He, Liming; Chen, Jing M.; Mostovoy, Georgy; Gonsamo, Alemu
通讯作者	He, LM (corresponding author), Lab Environm Model & Data Optima, Laurel, MD 20707 USA. ; He, LM (corresponding author), Nat Resources Canada, Canada Ctr Remote Sensing, Ottawa, ON, Canada. ; Chen, JM (corresponding author), Univ Toronto, Dept Geog & Planning, Toronto, ON, Canada.
来源期刊	GEOPHYSICAL RESEARCH LETTERS
ISSN	0094-8276
EISSN	1944-8007
出版年	2021
卷号	48 期号:8
英文摘要	The successful Soil Moisture Active Passive (SMAP) mission provides operational soil moisture products of high quality; yet its impacts on global carbon and water cycle estimation are yet to be further investigated. Here we assimilated the SMAP enhanced Level-2 soil moisture product at 9 km resolution into a land surface scheme in order to study the soil moisture control on the functioning of terrestrial ecosystems. We found that SMAP significantly improves soil moisture simulations, especially in the spring. Extensive wetting signals were revealed over croplands in arid and semi-arid regions and could not be explained using reanalysis meteorological data, indicating an additional water input, for example, irrigation. Stronger impacts on gross primary production and evapotranspiration simulations are found in wetting adjustments than in drying adjustments after data assimilation. This study suggests that the performance of the land surface scheme benefits greatly from assimilating the SMAP soil moisture product. Plain Language Summary Soil Moisture Active Passive (SMAP) is a satellite that can measure the moisture content of soil surface. The soil moisture map from this satellite is expected to help us to track drought and flood events and to understand how plants respond to water conditions. In this study, we demonstrate whether a new SMAP soil moisture product at finer spatial resolution (9 km) is helpful for better simulations of soil moisture, water use and vegetation growth using a computer model. We found that SMAP significantly improves soil moisture simulations, especially in the spring. Thanks to this enhanced SMAP product, we also found that it reveals strong irrigation signals over farmlands in arid and semi-arid areas, while many of these irrigation signals are impossible to detect from the standard SMAP product at a coarser resolution (36 km). Compared to previous studies which mostly focused on small regions, our study demonstrated the usefulness of SMAP at the global scale for agricultural applications.
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000672324900066
WOS关键词	SMAP ; MODEL ; ASSIMILATION ; RETRIEVALS ; SATELLITE ; LEAVES ; CARBON ; STATES
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363429
作者单位	[He, Liming; Mostovoy, Georgy] Lab Environm Model & Data Optima, Laurel, MD 20707 USA; [He, Liming] Nat Resources Canada, Canada Ctr Remote Sensing, Ottawa, ON, Canada; [Chen, Jing M.] Univ Toronto, Dept Geog & Planning, Toronto, ON, Canada; [Gonsamo, Alemu] McMaster Univ, Sch Earth Environm & Soc, Hamilton, ON, Canada
推荐引用方式 GB/T 7714	He, Liming,Chen, Jing M.,Mostovoy, Georgy,et al. Soil Moisture Active Passive Improves Global Soil Moisture Simulation in a Land Surface Scheme and Reveals Strong Irrigation Signals Over Farmlands[J],2021,48(8).
APA	He, Liming,Chen, Jing M.,Mostovoy, Georgy,&Gonsamo, Alemu.(2021).Soil Moisture Active Passive Improves Global Soil Moisture Simulation in a Land Surface Scheme and Reveals Strong Irrigation Signals Over Farmlands.GEOPHYSICAL RESEARCH LETTERS,48(8).
MLA	He, Liming,et al."Soil Moisture Active Passive Improves Global Soil Moisture Simulation in a Land Surface Scheme and Reveals Strong Irrigation Signals Over Farmlands".GEOPHYSICAL RESEARCH LETTERS 48.8(2021).