Multi-scale analysis of bias correction of soil moisture

Su, C.-H.; Ryu, D.

doi:10.5194/hess-19-17-2015

Articles | Volume 19, issue 1

https://doi.org/10.5194/hess-19-17-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-19-17-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 19, issue 1

Research article

|

06 Jan 2015

Research article |

| 06 Jan 2015

Multi-scale analysis of bias correction of soil moisture

C.-H. Su and D. Ryu

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Month	HTML	PDF	XML	Total
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Nov 2014	18	20	1	39
Dec 2014	5	18	0	23
Jan 2015	113	123	4	240
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Mar 2015	39	22	0	61
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Cumulative views and downloads (calculated since 29 Jul 2014)

Month	HTML	PDF	XML	Total
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Aug 2014	32	54	5	91
Sep 2014	15	25	2	42
Oct 2014	19	32	0	51
Nov 2014	18	20	1	39
Dec 2014	5	18	0	23
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Mar 2015	39	22	0	61
Apr 2015	26	16	2	44
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Latest update: 04 Mar 2026

Short summary

Global environmental monitoring requires geophysical measurements from a variety of sources and sensors to close the information gap. This paper proposes a novel approach for analysing temporal scale-by-scale differences (biases and errors) between geophysical estimates from disparate sources. This allows assessment of different bias correction schemes, and forms the basis for a multi-scale bias correction scheme and data-adaptive, non-linear de-noising.