Articles | Volume 19, issue 1
https://doi.org/10.5194/hess-19-17-2015
https://doi.org/10.5194/hess-19-17-2015
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

Viewed

Total article views: 3,257 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,723 1,436 98 3,257 107 85
  • HTML: 1,723
  • PDF: 1,436
  • XML: 98
  • Total: 3,257
  • BibTeX: 107
  • EndNote: 85
Views and downloads (calculated since 29 Jul 2014)
Cumulative views and downloads (calculated since 29 Jul 2014)

Cited

Saved (final revised paper)

Saved (preprint)

Latest update: 29 Jun 2024
Download
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.