气候变化领域集成服务门户(CCPortal): Decomposition of Uncertainties between Coarse MM5-Noah-Simulated and Fine ASAR-Retrieved Soil Moisture over Central Tibet

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DOI	10.1175/JHM-D-11-0133.1
	Decomposition of Uncertainties between Coarse MM5-Noah-Simulated and Fine ASAR-Retrieved Soil Moisture over Central Tibet
	van der Velde, Rogier; Salama, Suhyb; van Helvoirt, Marcel D.; Su, Zhongbo; Ma, Yaoming
通讯作者	van der Velde, R (通讯作者)
发表日期	2012
ISSN	1525-755X
EISSN	1525-7541
起始页码	1925
结束页码	1938
卷号	13 期号:6
英文摘要	Understanding the sources of uncertainty that cause deviations between simulated and satellite-observed states can facilitate optimal usage of these products via data assimilation or calibration techniques. A method is presented for separating uncertainties following from (i) scale differences between model grid and satellite footprint, (ii) residuals inherent to imperfect model and retrieval applications, and (iii) biases in the climatologies of simulations and retrievals. The method is applied to coarse (10 km) soil moisture simulations by the fifth-generation Pennsylvania State University National Center for Atmospheric Research Mesoscale Model (MM5)-Noah regional climate model and 2.5 years of high-resolution (100 m) retrievals from the Advanced Synthetic Aperture Radar (ASAR) data collected over central Tibet. Suppression of the bias is performed via cumulative distribution function (CDF) matching. The other deviations are separated by taking the variance of the ASAR soil moisture at the coarse MM5 model grid as measure for the deviations caused by scale differences. Via decomposition of the uncertainty sources it is shown that the bias and the spatial-scale difference explain the majority (>70%) of the deviations between the two products, whereas the contribution of model-observation residuals is less than 30% on a monthly basis. Consequently, this study demonstrates that accounting for uncertainties caused by bias as well as spatial-scale difference is imperative for meaningful assimilation of high-resolution soil moisture products. On the other hand, the large uncertainties following from spatial-scale differences suggests that high-resolution soil moisture products have a potential of providing observation-based input for the subgrid spatial variability parameterizations within large-scale models.
关键词	VARIATIONAL DATA ASSIMILATION HYDROLOGIC DATA ASSIMILATION LAND DATA ASSIMILATION CLIMATE PREDICTION SURFACE MODELS VARIABILITY VALIDATION DYNAMICS INITIALIZATION REANALYSIS
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000312628700017
来源期刊	JOURNAL OF HYDROMETEOROLOGY
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/257989
推荐引用方式 GB/T 7714	van der Velde, Rogier,Salama, Suhyb,van Helvoirt, Marcel D.,et al. Decomposition of Uncertainties between Coarse MM5-Noah-Simulated and Fine ASAR-Retrieved Soil Moisture over Central Tibet[J]. 中国科学院青藏高原研究所,2012,13(6).
APA	van der Velde, Rogier,Salama, Suhyb,van Helvoirt, Marcel D.,Su, Zhongbo,&Ma, Yaoming.(2012).Decomposition of Uncertainties between Coarse MM5-Noah-Simulated and Fine ASAR-Retrieved Soil Moisture over Central Tibet.JOURNAL OF HYDROMETEOROLOGY,13(6).
MLA	van der Velde, Rogier,et al."Decomposition of Uncertainties between Coarse MM5-Noah-Simulated and Fine ASAR-Retrieved Soil Moisture over Central Tibet".JOURNAL OF HYDROMETEOROLOGY 13.6(2012).