Articles | Volume 16, issue 10
https://doi.org/10.5194/hess-16-3499-2012
© Author(s) 2012. 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-16-3499-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Oct 2012
Research article |
| 04 Oct 2012
The impact of model and rainfall forcing errors on characterizing soil moisture uncertainty in land surface modeling
V. Maggioni
Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT, USA
E. N. Anagnostou
Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT, USA
R. H. Reichle
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
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Cited
21 citations as recorded by crossref.
- Quantifying Uncertainties in Extreme Flood Predictions under Climate Change for a Medium-Sized Basin in Northeastern China W. Qi et al. 10.1175/JHM-D-15-0212.1
- Towards hyper-resolution land-surface modeling of surface and root zone soil moisture T. Rouf et al. 10.1016/j.jhydrol.2020.125945
- How Does the Choice of Distributed Meteorological Data Affect Hydrologic Model Calibration and Streamflow Simulations? M. Elsner et al. 10.1175/JHM-D-13-083.1
- Data Assimilation of Terrestrial Water Storage Observations to Estimate Precipitation Fluxes: A Synthetic Experiment M. Girotto et al. 10.3390/rs13061223
- Comparing the ensemble and extended Kalman filters for in situ soil moisture assimilation with contrasting conditions D. Fairbairn et al. 10.5194/hess-19-4811-2015
- Impact of uncertainty description on assimilating hydraulic head in the MIKE SHE distributed hydrological model D. Zhang et al. 10.1016/j.advwatres.2015.07.018
- The effect of satellite-derived surface soil moisture and leaf area index land data assimilation on streamflow simulations over France D. Fairbairn et al. 10.5194/hess-21-2015-2017
- Ensemble-based data assimilation for operational flood forecasting – On the merits of state estimation for 1D hydrodynamic forecasting through the example of the “Adour Maritime” river S. Barthélémy et al. 10.1016/j.jhydrol.2017.06.017
- Assessment of Regional and Historical Climate Records for a Water Budget Approach in Eastern Colombia O. Molina & C. Bernhofer 10.3390/w12010042
- Real-time simulation of surface water and groundwater with data assimilation X. He et al. 10.1016/j.advwatres.2019.03.004
- Machine Learning-Based Error Modeling to Improve GPM IMERG Precipitation Product over the Brahmaputra River Basin M. Bhuiyan et al. 10.3390/forecast2030014
- Impact of climate, vegetation, soil and crop management variables on multi-year ISBA-A-gs simulations of evapotranspiration over a Mediterranean crop site S. Garrigues et al. 10.5194/gmd-8-3033-2015
- Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area C. Albergel et al. 10.5194/gmd-10-3889-2017
- Improved soil moisture estimation and detection of irrigation signal by incorporating SMAP soil moisture into the Indian Land Data Assimilation System (ILDAS) A. Chakraborty et al. 10.1016/j.jhydrol.2024.131581
- Satellite-driven downscaling of global reanalysis precipitation products for hydrological applications H. Seyyedi et al. 10.5194/hess-18-5077-2014
- Uncertainty propagation within a water level ensemble prediction system M. Bessar et al. 10.1016/j.jhydrol.2021.127193
- Enhancing Deep Learning Soil Moisture Forecasting Models by Integrating Physics-based Models L. Li et al. 10.1007/s00376-023-3181-8
- Role of precipitation forcing on the uncertainty of land surface model simulated soil moisture estimates A. Shrestha et al. 10.1016/j.jhydrol.2019.124264
- Assessing various drought indicators in representing summer drought in boreal forests in Finland Y. Gao et al. 10.5194/hess-20-175-2016
- Incorporating Surface Soil Moisture Information in Error Modeling of TRMM Passive Microwave Rainfall H. Seyyedi et al. 10.1109/TGRS.2013.2295795
- Investigating the Potential of Using Satellite‐Based Precipitation Radars as Reference for Evaluating Multisatellite Merged Products S. Khan et al. 10.1029/2018JD028584
20 citations as recorded by crossref.
- Quantifying Uncertainties in Extreme Flood Predictions under Climate Change for a Medium-Sized Basin in Northeastern China W. Qi et al. 10.1175/JHM-D-15-0212.1
- Towards hyper-resolution land-surface modeling of surface and root zone soil moisture T. Rouf et al. 10.1016/j.jhydrol.2020.125945
- How Does the Choice of Distributed Meteorological Data Affect Hydrologic Model Calibration and Streamflow Simulations? M. Elsner et al. 10.1175/JHM-D-13-083.1
- Data Assimilation of Terrestrial Water Storage Observations to Estimate Precipitation Fluxes: A Synthetic Experiment M. Girotto et al. 10.3390/rs13061223
- Comparing the ensemble and extended Kalman filters for in situ soil moisture assimilation with contrasting conditions D. Fairbairn et al. 10.5194/hess-19-4811-2015
- Impact of uncertainty description on assimilating hydraulic head in the MIKE SHE distributed hydrological model D. Zhang et al. 10.1016/j.advwatres.2015.07.018
- The effect of satellite-derived surface soil moisture and leaf area index land data assimilation on streamflow simulations over France D. Fairbairn et al. 10.5194/hess-21-2015-2017
- Ensemble-based data assimilation for operational flood forecasting – On the merits of state estimation for 1D hydrodynamic forecasting through the example of the “Adour Maritime” river S. Barthélémy et al. 10.1016/j.jhydrol.2017.06.017
- Assessment of Regional and Historical Climate Records for a Water Budget Approach in Eastern Colombia O. Molina & C. Bernhofer 10.3390/w12010042
- Real-time simulation of surface water and groundwater with data assimilation X. He et al. 10.1016/j.advwatres.2019.03.004
- Machine Learning-Based Error Modeling to Improve GPM IMERG Precipitation Product over the Brahmaputra River Basin M. Bhuiyan et al. 10.3390/forecast2030014
- Impact of climate, vegetation, soil and crop management variables on multi-year ISBA-A-gs simulations of evapotranspiration over a Mediterranean crop site S. Garrigues et al. 10.5194/gmd-8-3033-2015
- Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area C. Albergel et al. 10.5194/gmd-10-3889-2017
- Improved soil moisture estimation and detection of irrigation signal by incorporating SMAP soil moisture into the Indian Land Data Assimilation System (ILDAS) A. Chakraborty et al. 10.1016/j.jhydrol.2024.131581
- Satellite-driven downscaling of global reanalysis precipitation products for hydrological applications H. Seyyedi et al. 10.5194/hess-18-5077-2014
- Uncertainty propagation within a water level ensemble prediction system M. Bessar et al. 10.1016/j.jhydrol.2021.127193
- Enhancing Deep Learning Soil Moisture Forecasting Models by Integrating Physics-based Models L. Li et al. 10.1007/s00376-023-3181-8
- Role of precipitation forcing on the uncertainty of land surface model simulated soil moisture estimates A. Shrestha et al. 10.1016/j.jhydrol.2019.124264
- Assessing various drought indicators in representing summer drought in boreal forests in Finland Y. Gao et al. 10.5194/hess-20-175-2016
- Incorporating Surface Soil Moisture Information in Error Modeling of TRMM Passive Microwave Rainfall H. Seyyedi et al. 10.1109/TGRS.2013.2295795
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