Soil moisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations (EI)

CORC > 寒区旱区环境与工程研究所 > 中科院寒区旱区环境与工程研究所（未分类） > 期刊论文

	Soil moisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations (EI)
	Han X. ; Franssen H.-J. H. ; Montzka C. ; Vereecken H.
刊名	Water Resources Research
	2014
卷号	50 期号:7 页码:6081-6105
英文摘要	The Community Land Model (CLM) includes a large variety of parameterizations, also for flow in the unsaturated zone and soil properties. Soil properties introduce uncertainties into land surface model predictions. In this paper, soil moisture and soil properties are updated for the coupled CLM and Community Microwave Emission Model (CMEM) by the Local Ensemble Transform Kalman Filter (LETKF) and the state augmentation method. Soil properties are estimated through the update of soil textural properties and soil organic matter density. These variables are used in CLM for predicting the soil moisture retention characteristic and the unsaturated hydraulic conductivity, and the soil texture is used in CMEM to calculate the soil dielectric constant. The following scenarios were evaluated for the joint state and parameter estimation with help of synthetic L-band brightness temperature data assimilation: (i) the impact of joint state and parameter estimation; (ii) updating of soil properties in CLM alone, CMEM alone or both CLM and CMEM; (iii) updating of soil properties without soil moisture update; (iv) the observation localization of LETKF. The results show that the characterization of soil properties through the update of textural properties and soil organic matter density can strongly improve with assimilation of brightness temperature data. The optimized soil properties also improve the characterization of soil moisture, soil temperature, actual evapotranspiration, sensible heat flux, and soil heat flux. The best results are obtained if the soil properties are updated only. The coupled CLM and CMEM model is helpful for the parameter estimation. If soil properties are biased, assimilation of soil moisture data with only state updates increases the root mean square error for evapotranspiration, sensible heat flux, and soil heat flux. Key Points Assimilation with biased soil properties can worsen surface fluxes characterization Spatial distribution of model states and soil properties can be updated Joint assimilation works better for a coupled land surface and microwave model 2014. American Geophysical Union. All Rights Reserved.
收录类别	EI
公开日期	2015-12-24
内容类型	期刊论文
源URL	[http://ir.casnw.net/handle/362004/25242]
专题	寒区旱区环境与工程研究所_中科院寒区旱区环境与工程研究所（未分类）_期刊论文
推荐引用方式 GB/T 7714	Han X.,Franssen H.-J. H.,Montzka C.,et al. Soil moisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations (EI)[J]. Water Resources Research,2014,50(7):6081-6105.
APA	Han X.,Franssen H.-J. H.,Montzka C.,&Vereecken H..(2014).Soil moisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations (EI).Water Resources Research,50(7),6081-6105.
MLA	Han X.,et al."Soil moisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations (EI)".Water Resources Research 50.7(2014):6081-6105.