DOI: 10.1002/jgrd.50430
论文题名: A joint analysis of modeled soil moisture fields and satellite observations
作者: Jiménez C. ; Clark D.B. ; Kolassa J. ; Aires F. ; Prigent C.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 12 起始页码: 6771
结束页码: 6782
语种: 英语
英文关键词: land surface models
; satellite observations
; soil moisture
Scopus关键词: Forecasting
; Satellites
; Global correlation
; Land surface models
; Multiwavelength observations
; Prediction uncertainty
; Root-mean square deviation
; Satellite information
; Satellite observations
; Soil moisture predictions
; Soil moisture
; biome
; land surface
; numerical model
; observational method
; prediction
; satellite data
; satellite imagery
; soil moisture
; wavelength
; United Kingdom
英文摘要: A methodology to conduct a joint analysis of modeled soil moisture fields from the Joint UK Land Environment Simulator (JULES) and a data set of multiwavelength observations is presented. It consists of building a statistical model capturing the relationships between the land surface model estimates and the satellite observations, and then using the satellite observations (mapped into soil moisture predictions by the statistical model) to evaluate the fields estimated by the land surface model. Two statistical models are tested and predict very similar soil moisture (global correlation and root-mean-square deviation (RMSD) of ~ 0.98 and ~ 0.02 m3/m3). A characterization of prediction uncertainty shows errors ranging between 0.01 and 0.10 m3/m3, depending on biome and season. The satellite prediction and JULES soil moisture agree relatively well (global correlation and RMSD of ~ 0.92 and ~ 0.05 m3/m3), but for some regions and periods, clear differences exist. Conducted tests modifying either the predicted soil moisture or the JULES estimates show that this methodology can effectively change soil moisture toward more correct values. It can then be expected that some of the differences are the result of the satellite information modifying the modeled soil moisture fields toward more realistic values. However, proving this is difficult given the present uncertainties in modeled and observed global soil moisture products. Key Points Multi-wavelength satellite observations evaluating global modeled soil moisture Observations and land model linked by a statistical model Satellite prediction potentially correcting modeled soil moisture © 2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63658
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Laboratoire d'Etudes du Rayonnement et de la Matière en Astrophysique, Centre National de la Recherche Scientifique, Observatoire de Paris, Paris, France; Centre for Ecology and Hydrology Oxfordshire, Wallingford, United Kingdom; Estellus S.A.S, Paris, France
Recommended Citation:
Jiménez C.,Clark D.B.,Kolassa J.,et al. A joint analysis of modeled soil moisture fields and satellite observations[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(12)