DOI: 10.5194/hess-22-1811-2018
Scopus记录号: 2-s2.0-85043766650
论文题名: On the use of the GRACE normal equation of inter-satellite tracking data for estimation of soil moisture and groundwater in Australia
作者: Tangdamrongsub N ; , Han S ; -C ; , Decker M ; , Yeo I ; -Y ; , Kim H
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2018
卷: 22, 期: 3 起始页码: 1811
结束页码: 1829
语种: 英语
Scopus关键词: Cables
; Climate models
; Data handling
; Digital storage
; Geodetic satellites
; Groundwater
; Moisture
; Soil moisture
; Soils
; Tracking (position)
; Water conservation
; Water supply
; Error covariance information
; Gravity recovery and climate experiments
; Satellite soil moisture
; Satellite tracking data
; Statistical properties
; Surface soil moisture
; Terrestrial water storage
; Time-variable gravity
; Soil surveys
; annual variation
; equation
; estimation method
; GRACE
; groundwater
; least squares method
; river basin
; satellite altimetry
; satellite data
; seasonal variation
; soil moisture
; tracking
; water storage
; Australia
英文摘要: An accurate estimation of soil moisture and groundwater is essential for monitoring the availability of water supply in domestic and agricultural sectors. In order to improve the water storage estimates, previous studies assimilated terrestrial water storage variation (δTWS) derived from the Gravity Recovery and Climate Experiment (GRACE) into land surface models (LSMs). However, the GRACE-derived δTWS was generally computed from the high-level products (e.g. time-variable gravity fields, i.e. level 2, and land grid from the level 3 product). The gridded data products are subjected to several drawbacks such as signal attenuation and/or distortion caused by a posteriori filters and a lack of error covariance information. The post-processing of GRACE data might lead to the undesired alteration of the signal and its statistical property. This study uses the GRACE least-squares normal equation data to exploit the GRACE information rigorously and negate these limitations. Our approach combines GRACE's least-squares normal equation (obtained from ITSG-Grace2016 product) with the results from the Community Atmosphere Biosphere Land Exchange (CABLE) model to improve soil moisture and groundwater estimates. This study demonstrates, for the first time, an importance of using the GRACE raw data. The GRACE-combined (GC) approach is developed for optimal least-squares combination and the approach is applied to estimate the soil moisture and groundwater over 10 Australian river basins. The results are validated against the satellite soil moisture observation and the in situ groundwater data. Comparing to CABLE, we demonstrate the GC approach delivers evident improvement of water storage estimates, consistently from all basins, yielding better agreement on seasonal and inter-annual timescales. Significant improvement is found in groundwater storage while marginal improvement is observed in surface soil moisture estimates. © 2018 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79359
Appears in Collections: 气候变化事实与影响
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作者单位: School of Engineering, University of Newcastle, Callaghan, NSW, Australia; ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, NSW, Australia; Institute of Industrial Science, University of Tokyo, Tokyo, Japan
Recommended Citation:
Tangdamrongsub N,, Han S,-C,et al. On the use of the GRACE normal equation of inter-satellite tracking data for estimation of soil moisture and groundwater in Australia[J]. Hydrology and Earth System Sciences,2018-01-01,22(3)