the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Depth scaling of soil moisture content from surface to profile: multistation testing of observation operators
Abstract. The accurate assessment of profile soil moisture for spatial domains is usually difficult due to the associated costs, strong spatial-temporal variability, and nonlinear relationship between surface and profile moisture. Here we attempted to use observation operators built by Cumulative Distribution Frequency (CDF) matching method to directly predict profile soil moisture from surface measurements based on multi-station in situ observations from the Soil and Climate Analysis Network (SCAN). We first analyzed the effects of temporal resolution (hourly, daily and weekly) and data length (half year in non-growing season, half year in growing season, one year, two years and four years) on the performance of observation operators. The results showed that temporal resolution had a negligible influence on the performance of observation operators. However, data length significantly changed the prediction accuracy of observation operators, and a two-year interval was identified as the optimal data length in building observation operators. A dataset with a two-year duration was therefore used to test the robustness of observation operators in three primary climates (humid continental, humid subtropical and semiarid) of the continental USA, with the popular exponential filter employed as a reference approach. The results indicated that observation operators reliably predicted profile soil moisture for the majority of stations in both calibration and validation periods and performed almost equally well with the exponential filter method. This suggests that observation operators are a feasible statistical tool for depth scaling of soil moisture. The findings here have the potential to be applied in profile soil moisture prediction from surface measurements at a range of environments if the target site has long enough (two years) soil moisture observations even with coarse temporal resolutions.
This preprint has been retracted.
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Retraction notice
This preprint has been retracted.
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Preprint
(1886 KB)
Interactive discussion
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RC1: 'Review for hess-2017-292 “Depth scaling of soil moisture content from surface to profile: multi-station testing of observation operators” by Gao et al.', Anonymous Referee #1, 17 Jul 2017
- AC1: 'Responses to the comments of Anonymous Referee #1', Xining Zhao, 18 Jul 2017
- AC3: 'Supplemental response', Xining Zhao, 28 Jul 2017
- SC1: 'Responses to the comments of previous reviewers', Xining Zhao, 18 Jul 2017
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RC2: 'Comments on "CDF matching-Based profile soil moisture estimation"', Yijian Zeng, 21 Jul 2017
- AC2: 'Responses to the comments of Dr. Yijian Zeng', Xining Zhao, 28 Jul 2017
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SC2: 'Review', Thierry Pellarin, 28 Jul 2017
- RC3: 'Review: SC again as RC', Thierry Pellarin, 14 Aug 2017
- AC4: 'Responses to the comments of Dr. Thierry Pellarin', Xining Zhao, 15 Aug 2017
Interactive discussion
-
RC1: 'Review for hess-2017-292 “Depth scaling of soil moisture content from surface to profile: multi-station testing of observation operators” by Gao et al.', Anonymous Referee #1, 17 Jul 2017
- AC1: 'Responses to the comments of Anonymous Referee #1', Xining Zhao, 18 Jul 2017
- AC3: 'Supplemental response', Xining Zhao, 28 Jul 2017
- SC1: 'Responses to the comments of previous reviewers', Xining Zhao, 18 Jul 2017
-
RC2: 'Comments on "CDF matching-Based profile soil moisture estimation"', Yijian Zeng, 21 Jul 2017
- AC2: 'Responses to the comments of Dr. Yijian Zeng', Xining Zhao, 28 Jul 2017
-
SC2: 'Review', Thierry Pellarin, 28 Jul 2017
- RC3: 'Review: SC again as RC', Thierry Pellarin, 14 Aug 2017
- AC4: 'Responses to the comments of Dr. Thierry Pellarin', Xining Zhao, 15 Aug 2017
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