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.
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.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Jan 2015
Research article |
| 06 Jan 2015
Multi-scale analysis of bias correction of soil moisture
C.-H. Su
CORRESPONDING AUTHOR
Department of Infrastructure Engineering, University of Melbourne, 3010 Victoria, Australia
Department of Infrastructure Engineering, University of Melbourne, 3010 Victoria, Australia
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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.
Global environmental monitoring requires geophysical measurements from a variety of sources and...
