DOI: 10.1002/2015GL064981
论文题名: A framework for combining multiple soil moisture retrievals based on maximizing temporal correlation
作者: Kim S. ; Parinussa R.M. ; Liu Y.Y. ; Johnson F.M. ; Sharma A.
刊名: Geophysical Research Letters
ISSN: 0094-9508
EISSN: 1944-9239
出版年: 2015
卷: 42, 期: 16 起始页码: 6662
结束页码: 6670
语种: 英语
英文关键词: AMSR2
; linear combination
; soil moisture
; weighting
Scopus关键词: Moisture
; Soil surveys
; Soils
; Space research
; Advanced microwave scanning radiometer
; AMSR2
; Japan Aerospace Exploration Agency
; Linear combinations
; Satellite soil moisture
; Soil moisture retrievals
; Volumetric water content
; Weighting
; Soil moisture
; AMSR-E
; data set
; microwave imagery
; model validation
; performance assessment
; satellite imagery
; soil moisture
; temporal analysis
; water content
; Japan
英文摘要: A method for combining two microwave satellite soil moisture products by maximizing the temporal correlation with a reference data set has been developed. The method was applied to two global soil moisture data sets, Japan Aerospace Exploration Agency (JAXA) and Land Parameter Retrieval Model (LPRM), retrieved from the Advanced Microwave Scanning Radiometer 2 observations for the period 2012-2014. A global comparison revealed superior results of the combined product compared to the individual products against the reference data set of ERA-Interim volumetric water content. The global mean temporal correlation coefficient of the combined product with this reference was 0.52 which outperforms the individual JAXA (0.35) as well as the LPRM (0.45) product. Additionally, the performance was evaluated against in situ observations from the International Soil Moisture Network. The combined data set showed a significant improvement in temporal correlation coefficients in the validation compared to JAXA and minor improvements for the LPRM product. © 2015. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941738658&doi=10.1002%2f2015GL064981&partnerID=40&md5=a8938d1532da8f16938a84dee5a045d7
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/9123
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW, Australia
Recommended Citation:
Kim S.,Parinussa R.M.,Liu Y.Y.,et al. A framework for combining multiple soil moisture retrievals based on maximizing temporal correlation[J]. Geophysical Research Letters,2015-01-01,42(16).