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DOI	10.1016/j.jhydrol.2020.125894
	Disaggregating satellite soil moisture products based on soil thermal inertia: A comparison of a downscaling model built at two spatial scales
	Senanayake, I. P.; Yeo, I-Y; Willgoose, G. R.; Hancock, G. R.
通讯作者	Senanayake, IP ; Yeo, IY (corresponding author), Univ Newcastle, Fac Engn & Built Environm, Sch Engn, Callaghan, NSW 2308, Australia.
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2021
卷号	594
英文摘要	Lack of high spatial resolution soil moisture data is a major limitation in many regional scale hydrologic, climatic and agricultural applications. The available satellite soil moisture data products are too coarse and unable to cater for this resolution requirement. Downscaling coarse spatial resolution satellite soil moisture retrievals is a feasible option to meet the required level of spatial resolution for those applications. The main focus of this study is to compare two soil thermal inertia-based downscaling models, built by using long-term time records of (i) point scale in-situ data and, (ii) 25 km resolution Global Land Data Assimilation System (GLDAS) land surface model outputs. The developed models were tested over Goulburn River catchment in the Upper Hunter Region of NSW, Australia to downscale Soil Moisture Active Passive (SMAP) 36 km radiometric product into 1 km resolution. The downscaled SMAP product from both models produced encouraging results with unbiased root mean square errors (ubRMSEs) of 0.07-0.10 cm(3)/cm(3), against in-situ field data, and an average ubRMSEs of 0.07 cm(3)/cm(3) when compared to the National Airborne Field Experiment 2005 (NAFE'05) soil moisture retrievals. Both models showed promising results over semi-arid regions in estimating soil moisture at a high spatial resolution, but with their own strengths and weaknesses. The findings here provide useful insights on the robustness of the soil thermal inertia relationship across scales and the effects of the model resolution to the downscaled soil moisture estimates. The approach demonstrated encouraging results over semi-arid regions in estimating soil moisture at a high spatial resolution.
英文关键词	Downscaling GLDAS MODIS SMAP Soil moisture Thermal inertia
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000641589600026
WOS关键词	LAND-SURFACE TEMPERATURE ; TIME-SERIES ; WATER-RESOURCES ; NEAR-SURFACE ; SMAP ; RETRIEVAL ; INTEGRATION ; ENERGY ; SPACE
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350879
作者单位	[Senanayake, I. P.; Yeo, I-Y; Willgoose, G. R.] Univ Newcastle, Fac Engn & Built Environm, Sch Engn, Callaghan, NSW 2308, Australia; [Hancock, G. R.] Univ Newcastle, Fac Sci, Sch Environm & Life Sci, Callaghan, NSW 2308, Australia
推荐引用方式 GB/T 7714	Senanayake, I. P.,Yeo, I-Y,Willgoose, G. R.,et al. Disaggregating satellite soil moisture products based on soil thermal inertia: A comparison of a downscaling model built at two spatial scales[J],2021,594.
APA	Senanayake, I. P.,Yeo, I-Y,Willgoose, G. R.,&Hancock, G. R..(2021).Disaggregating satellite soil moisture products based on soil thermal inertia: A comparison of a downscaling model built at two spatial scales.JOURNAL OF HYDROLOGY,594.
MLA	Senanayake, I. P.,et al."Disaggregating satellite soil moisture products based on soil thermal inertia: A comparison of a downscaling model built at two spatial scales".JOURNAL OF HYDROLOGY 594(2021).