气候变化领域集成服务门户(CCPortal): Improved groundwater table and L-band brightness temperature estimates for Northern Hemisphere peatlands using new model physics and SMOS observations in a global data assimilation framework

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DOI	10.1016/j.rse.2020.111805
	Improved groundwater table and L-band brightness temperature estimates for Northern Hemisphere peatlands using new model physics and SMOS observations in a global data assimilation framework
	Bechtold M.; De Lannoy G.J.M.; Reichle R.H.; Roose D.; Balliston N.; Burdun I.; Devito K.; Kurbatova J.; Strack M.; Zarov E.A.
发表日期	2020
ISSN	00344257
卷号	246
英文摘要	There is an urgent need to include northern peatland hydrology in global Earth system models to better understand land-atmosphere interactions and sensitivities of peatland functions to climate change, and, ultimately, to improve climate change predictions. In this study, we introduced for the first time peatland-specific model physics into an assimilation scheme for L-band brightness temperature (Tb) data from the Soil Moisture Ocean Salinity (SMOS) mission to improve groundwater table estimates. We conducted two sets of model-only and data assimilation experiments using the Catchment Land Surface Model (CLSM), applying (over peatlands only) in one of them a peatland-specific adaptation (PEATCLSM). The evaluation against in-situ measurements of peatland groundwater table depth indicates the superiority of PEATCLSM model physics and additionally improved performance after assimilating SMOS Tb observations. The better performance of PEATCLSM over nearly all Northern Hemisphere peatlands is further supported by the better agreement between SMOS Tb observations and Tb estimates from the model-only and data assimilation runs. Within the data assimilation scheme, PEATCLSM reduces Tb observation-minus-forecast residuals and leads to reduced data assimilation updates of water storage components and, thus, reduced water budget imbalances in the assimilation system. © 2020 Elsevier Inc.
英文关键词	Boreal zone; Ensemble Kalman filter; Groundwater table depth; Land surface model; Microtopography; Microwave remote sensing; Organic soil; PEATCLSM; Peatland hydrology; Radiative transfer modeling; Soil moisture; Wetlands
语种	英语
scopus关键词	Budget control; Catchments; Climate change; Climate models; Digital storage; Earth atmosphere; Groundwater; Luminance; Soil moisture; Temperature; Wetlands; Brightness temperatures; Climate change prediction; Groundwater table depth; Land atmosphere interaction; Land surface modeling; Northern Hemispheres; Soil moisture ocean salinities; Specific adaptations; Data reduction; brightness temperature; climate change; climate prediction; data assimilation; estimation method; land-atmosphere interaction; Northern Hemisphere; peatland; SMOS; water budget; water storage; water table
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179301
作者单位	KU Leuven, Department of Earth and Environmental Sciences, Heverlee, Belgium; KU Leuven, Department of Computer Science, Heverlee, Belgium; NASA Goddard Space Flight Center, Greenbelt, MD, United States; University of Waterloo, Wetlands Hydrology Research Group, Waterloo, ON, Canada; University of Tartu, Department of Geography, Tartu, Estonia; University of Alberta, Biological Sciences, Edmonton, AB, Canada; A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russian Federation; University of Waterloo, Department of Geography and Environmental Management, Waterloo, ON, Canada; Yugra State University, UNESCO Chair of Environmental Dynamic and Global Climate Changes, Khanty-Mansiysk, Russian Federation
推荐引用方式 GB/T 7714	Bechtold M.,De Lannoy G.J.M.,Reichle R.H.,et al. Improved groundwater table and L-band brightness temperature estimates for Northern Hemisphere peatlands using new model physics and SMOS observations in a global data assimilation framework[J],2020,246.
APA	Bechtold M..,De Lannoy G.J.M..,Reichle R.H..,Roose D..,Balliston N..,...&Zarov E.A..(2020).Improved groundwater table and L-band brightness temperature estimates for Northern Hemisphere peatlands using new model physics and SMOS observations in a global data assimilation framework.Remote Sensing of Environment,246.
MLA	Bechtold M.,et al."Improved groundwater table and L-band brightness temperature estimates for Northern Hemisphere peatlands using new model physics and SMOS observations in a global data assimilation framework".Remote Sensing of Environment 246(2020).