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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Cited
40 citations as recorded by crossref.
- Impact of Rescaling Approaches in Simple Fusion of Soil Moisture Products M. Afshar et al. https://doi.org/10.1029/2019WR025111
- The Impact of Quadratic Nonlinear Relations between Soil Moisture Products on Uncertainty Estimates from Triple Collocation Analysis and Two Quadratic Extensions S. Zwieback et al. https://doi.org/10.1175/JHM-D-15-0213.1
- Multi‐Timescale Analysis of the Spatial Representativeness of In Situ Soil Moisture Data within Satellite Footprints B. Molero et al. https://doi.org/10.1002/2017JD027478
- Error and uncertainty characterization of soil moisture and VOD retrievals obtained from L-band SMAP radiometer P. Konkathi & L. Karthikeyan https://doi.org/10.1016/j.rse.2022.113146
- Improving Soil Moisture and Surface Turbulent Heat Flux Estimates by Assimilation of SMAP Brightness Temperatures or Soil Moisture Retrievals and GOES Land Surface Temperature Retrievals Y. Lu et al. https://doi.org/10.1175/JHM-D-19-0130.1
- On the assimilation set-up of ASCAT soil moisture data for improving streamflow catchment simulation J. Loizu et al. https://doi.org/10.1016/j.advwatres.2017.10.034
- Improving the ESA CCI daily soil moisture time series with physically-based land surface model datasets using a Fourier time-filtering method E. Seo & P. Dirmeyer https://doi.org/10.1175/JHM-D-21-0120.1
- Consistency and Discrepancy of Global Surface Soil Moisture Changes From Multiple Model‐Based Data Sets Against Satellite Observations X. Gu et al. https://doi.org/10.1029/2018JD029304
- Recent advances in (soil moisture) triple collocation analysis A. Gruber et al. https://doi.org/10.1016/j.jag.2015.09.002
- Assessment of global gridded transpiration products using the extended instrumental variable technique (EIVD) C. Li et al. https://doi.org/10.1016/j.jhydrol.2023.129880
- Data Assimilation of Satellite Soil Moisture into Rainfall-Runoff Modelling: A Complex Recipe? C. Massari et al. https://doi.org/10.3390/rs70911403
- Dual assimilation of satellite soil moisture to improve streamflow prediction in data‐scarce catchments C. Alvarez‐Garreton et al. https://doi.org/10.1002/2015WR018429
- Improving Spatial Patterns Prior to Land Surface Data Assimilation via Model Calibration Using SMAP Surface Soil Moisture Data J. Zhou et al. https://doi.org/10.1029/2020WR027770
- Assimilation of SMOS soil moisture and brightness temperature products into a land surface model H. Lievens et al. https://doi.org/10.1016/j.rse.2015.10.033
- Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals A. Gruber et al. https://doi.org/10.1109/TGRS.2017.2734070
- Global-scale evaluation of SMAP, SMOS and ASCAT soil moisture products using triple collocation F. Chen et al. https://doi.org/10.1016/j.rse.2018.05.008
- A novel wavelet-based approach to characterize dynamic environmental factors controlling short-term soil surface CO2 flux: Application to a controlled CO2 release test site (EIT) in South Korea Y. Oh et al. https://doi.org/10.1016/j.geoderma.2018.09.017
- SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia H. Lievens et al. https://doi.org/10.1016/j.rse.2015.06.025
- Expanding the Application of Soil Moisture Monitoring Systems through Regression-Based Transformation W. Crow et al. https://doi.org/10.1175/JHM-D-21-0061.1
- The impact of near-surface soil moisture assimilation at subseasonal, seasonal, and inter-annual timescales C. Draper & R. Reichle https://doi.org/10.5194/hess-19-4831-2015
- Assimilation of Sentinel 1 and SMAP – based satellite soil moisture retrievals into SWAT hydrological model: the impact of satellite revisit time and product spatial resolution on flood simulations in small basins S. Azimi et al. https://doi.org/10.1016/j.jhydrol.2019.124367
- The added utility of nonlinear methods compared to linear methods in rescaling soil moisture products M. Afshar & M. Yilmaz https://doi.org/10.1016/j.rse.2017.05.017
- Wavelet analysis of soil moisture measurements for hillslope hydrological processes E. Lee & S. Kim https://doi.org/10.1016/j.jhydrol.2019.05.023
- Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology A. Gruber et al. https://doi.org/10.5194/essd-11-717-2019
- Characterizing the accuracy of satellite-based products to detect soil moisture at the global scale X. Min et al. https://doi.org/10.1016/j.geoderma.2023.116388
- On the value of mobile cosmic-ray neutron measurements for spatio-temporal soil moisture simulations E. Fatima et al. https://doi.org/10.3389/frwa.2025.1630051
- Error decomposition of nine passive and active microwave satellite soil moisture data sets over Australia C. Su et al. https://doi.org/10.1016/j.rse.2016.05.008
- Unmanned Aerial Vehicle (UAV)-Based Thermal Infra-Red (TIR) and Optical Imagery Reveals Multi-Spatial Scale Controls of Cold-Water Areas Over a Groundwater-Dominated Riverscape R. Casas-Mulet et al. https://doi.org/10.3389/fenvs.2020.00064
- Improving the identification of pollution source areas with catchment-resolution sensitivity analysis X. Li et al. https://doi.org/10.1016/j.envpol.2024.124658
- A Review of Satellite-Derived Soil Moisture and Its Usage for Flood Estimation S. Kim et al. https://doi.org/10.1007/s41976-019-00025-7
- Application of Triple Collocation in Ground-Based Validation of Soil Moisture Active/Passive (SMAP) Level 2 Data Products F. Chen et al. https://doi.org/10.1109/JSTARS.2016.2569998
- CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data C. Li et al. https://doi.org/10.5194/essd-16-1811-2024
- Validation practices for satellite soil moisture retrievals: What are (the) errors? A. Gruber et al. https://doi.org/10.1016/j.rse.2020.111806
- Evaluation of post-retrieval de-noising of active and passive microwave satellite soil moisture C. Su et al. https://doi.org/10.1016/j.rse.2015.03.010
- Identifying multivariate controls of soil moisture variations using multiple wavelet coherence in the U.S. Midwest X. Gu et al. https://doi.org/10.1016/j.jhydrol.2021.126755
- Influence of vegetation type and topographic position on volumetric soil water content dynamics and similarity among surface and deep soil layers M. Liu et al. https://doi.org/10.1016/j.iswcr.2022.07.002
- Near real time de-noising of satellite-based soil moisture retrievals: An intercomparison among three different techniques C. Massari et al. https://doi.org/10.1016/j.rse.2017.05.037
- Impact of Model Relative Accuracy in Framework of Rescaling Observations in Hydrological Data Assimilation Studies M. Yilmaz et al. https://doi.org/10.1175/JHM-D-15-0206.1
- Exploiting Satellite-Based Surface Soil Moisture for Flood Forecasting in the Mediterranean Area: State Update Versus Rainfall Correction C. Massari et al. https://doi.org/10.3390/rs10020292
- Estimating time-dependent vegetation biases in the SMAP soil moisture product S. Zwieback et al. https://doi.org/10.5194/hess-22-4473-2018
40 citations as recorded by crossref.
- Impact of Rescaling Approaches in Simple Fusion of Soil Moisture Products M. Afshar et al. https://doi.org/10.1029/2019WR025111
- The Impact of Quadratic Nonlinear Relations between Soil Moisture Products on Uncertainty Estimates from Triple Collocation Analysis and Two Quadratic Extensions S. Zwieback et al. https://doi.org/10.1175/JHM-D-15-0213.1
- Multi‐Timescale Analysis of the Spatial Representativeness of In Situ Soil Moisture Data within Satellite Footprints B. Molero et al. https://doi.org/10.1002/2017JD027478
- Error and uncertainty characterization of soil moisture and VOD retrievals obtained from L-band SMAP radiometer P. Konkathi & L. Karthikeyan https://doi.org/10.1016/j.rse.2022.113146
- Improving Soil Moisture and Surface Turbulent Heat Flux Estimates by Assimilation of SMAP Brightness Temperatures or Soil Moisture Retrievals and GOES Land Surface Temperature Retrievals Y. Lu et al. https://doi.org/10.1175/JHM-D-19-0130.1
- On the assimilation set-up of ASCAT soil moisture data for improving streamflow catchment simulation J. Loizu et al. https://doi.org/10.1016/j.advwatres.2017.10.034
- Improving the ESA CCI daily soil moisture time series with physically-based land surface model datasets using a Fourier time-filtering method E. Seo & P. Dirmeyer https://doi.org/10.1175/JHM-D-21-0120.1
- Consistency and Discrepancy of Global Surface Soil Moisture Changes From Multiple Model‐Based Data Sets Against Satellite Observations X. Gu et al. https://doi.org/10.1029/2018JD029304
- Recent advances in (soil moisture) triple collocation analysis A. Gruber et al. https://doi.org/10.1016/j.jag.2015.09.002
- Assessment of global gridded transpiration products using the extended instrumental variable technique (EIVD) C. Li et al. https://doi.org/10.1016/j.jhydrol.2023.129880
- Data Assimilation of Satellite Soil Moisture into Rainfall-Runoff Modelling: A Complex Recipe? C. Massari et al. https://doi.org/10.3390/rs70911403
- Dual assimilation of satellite soil moisture to improve streamflow prediction in data‐scarce catchments C. Alvarez‐Garreton et al. https://doi.org/10.1002/2015WR018429
- Improving Spatial Patterns Prior to Land Surface Data Assimilation via Model Calibration Using SMAP Surface Soil Moisture Data J. Zhou et al. https://doi.org/10.1029/2020WR027770
- Assimilation of SMOS soil moisture and brightness temperature products into a land surface model H. Lievens et al. https://doi.org/10.1016/j.rse.2015.10.033
- Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals A. Gruber et al. https://doi.org/10.1109/TGRS.2017.2734070
- Global-scale evaluation of SMAP, SMOS and ASCAT soil moisture products using triple collocation F. Chen et al. https://doi.org/10.1016/j.rse.2018.05.008
- A novel wavelet-based approach to characterize dynamic environmental factors controlling short-term soil surface CO2 flux: Application to a controlled CO2 release test site (EIT) in South Korea Y. Oh et al. https://doi.org/10.1016/j.geoderma.2018.09.017
- SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia H. Lievens et al. https://doi.org/10.1016/j.rse.2015.06.025
- Expanding the Application of Soil Moisture Monitoring Systems through Regression-Based Transformation W. Crow et al. https://doi.org/10.1175/JHM-D-21-0061.1
- The impact of near-surface soil moisture assimilation at subseasonal, seasonal, and inter-annual timescales C. Draper & R. Reichle https://doi.org/10.5194/hess-19-4831-2015
- Assimilation of Sentinel 1 and SMAP – based satellite soil moisture retrievals into SWAT hydrological model: the impact of satellite revisit time and product spatial resolution on flood simulations in small basins S. Azimi et al. https://doi.org/10.1016/j.jhydrol.2019.124367
- The added utility of nonlinear methods compared to linear methods in rescaling soil moisture products M. Afshar & M. Yilmaz https://doi.org/10.1016/j.rse.2017.05.017
- Wavelet analysis of soil moisture measurements for hillslope hydrological processes E. Lee & S. Kim https://doi.org/10.1016/j.jhydrol.2019.05.023
- Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology A. Gruber et al. https://doi.org/10.5194/essd-11-717-2019
- Characterizing the accuracy of satellite-based products to detect soil moisture at the global scale X. Min et al. https://doi.org/10.1016/j.geoderma.2023.116388
- On the value of mobile cosmic-ray neutron measurements for spatio-temporal soil moisture simulations E. Fatima et al. https://doi.org/10.3389/frwa.2025.1630051
- Error decomposition of nine passive and active microwave satellite soil moisture data sets over Australia C. Su et al. https://doi.org/10.1016/j.rse.2016.05.008
- Unmanned Aerial Vehicle (UAV)-Based Thermal Infra-Red (TIR) and Optical Imagery Reveals Multi-Spatial Scale Controls of Cold-Water Areas Over a Groundwater-Dominated Riverscape R. Casas-Mulet et al. https://doi.org/10.3389/fenvs.2020.00064
- Improving the identification of pollution source areas with catchment-resolution sensitivity analysis X. Li et al. https://doi.org/10.1016/j.envpol.2024.124658
- A Review of Satellite-Derived Soil Moisture and Its Usage for Flood Estimation S. Kim et al. https://doi.org/10.1007/s41976-019-00025-7
- Application of Triple Collocation in Ground-Based Validation of Soil Moisture Active/Passive (SMAP) Level 2 Data Products F. Chen et al. https://doi.org/10.1109/JSTARS.2016.2569998
- CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data C. Li et al. https://doi.org/10.5194/essd-16-1811-2024
- Validation practices for satellite soil moisture retrievals: What are (the) errors? A. Gruber et al. https://doi.org/10.1016/j.rse.2020.111806
- Evaluation of post-retrieval de-noising of active and passive microwave satellite soil moisture C. Su et al. https://doi.org/10.1016/j.rse.2015.03.010
- Identifying multivariate controls of soil moisture variations using multiple wavelet coherence in the U.S. Midwest X. Gu et al. https://doi.org/10.1016/j.jhydrol.2021.126755
- Influence of vegetation type and topographic position on volumetric soil water content dynamics and similarity among surface and deep soil layers M. Liu et al. https://doi.org/10.1016/j.iswcr.2022.07.002
- Near real time de-noising of satellite-based soil moisture retrievals: An intercomparison among three different techniques C. Massari et al. https://doi.org/10.1016/j.rse.2017.05.037
- Impact of Model Relative Accuracy in Framework of Rescaling Observations in Hydrological Data Assimilation Studies M. Yilmaz et al. https://doi.org/10.1175/JHM-D-15-0206.1
- Exploiting Satellite-Based Surface Soil Moisture for Flood Forecasting in the Mediterranean Area: State Update Versus Rainfall Correction C. Massari et al. https://doi.org/10.3390/rs10020292
- Estimating time-dependent vegetation biases in the SMAP soil moisture product S. Zwieback et al. https://doi.org/10.5194/hess-22-4473-2018
Saved (final revised paper)
Latest update: 10 Sep 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.
Global environmental monitoring requires geophysical measurements from a variety of sources and...
