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Impact of different satellite soil moisture products on the predictions of a continuous distributed hydrological model

P. Laiolo, S. Gabellani, L. Campo, F. Silvestro, F. Delogu, R. Rudari, L. Pulvirenti, G. Boni, F. Fascetti, N. Pierdicca, R. Crapolicchio, S. Hasenauer (+1 others)
2016 International Journal of Applied Earth Observation and Geoinformation  
Landscape and vegetation analysis (including land use land cover change), Climate change vis-a-vis ecological studies, Geospatial (RS, GIS, GPS) modelling.  ...  A caption should comprise a brief title (not on the figure itself) and a description of the illustration.  ...  More information on how to remove field codes from different reference management software.  ... 
doi:10.1016/j.jag.2015.06.002 fatcat:rsf7oui42jh2tnulmto3p5cx7a

Assimilation of remote sensing observations into a continuous distributed hydrological model: Impacts on the hydrologic cycle

Paola Laiolo, Simone Gabellani, Lorenzo Campo, Luca Cenci, Francesco Silvestro, Fabio Delogu, Giorgio Boni, Roberto Rudari, Silvia Puca, Anna Rita Pisani
2015 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
This work investigates the impact of the assimilation of different remote sensing products on the hydrological cycle by using a continuous physically based distributed hydrological model.  ...  The benefits on the model predictions of discharge, LST, evapotranspiration and soil moisture dynamics are tested and discussed.  ... 
doi:10.1109/igarss.2015.7326015 dblp:conf/igarss/LaioloGCCSDBRPP15 fatcat:snt23f7nwbfe7eewxq3yvizazy

Application of Remote Sensing Data to Constrain Operational Rainfall-Driven Flood Forecasting: A Review

Yuan Li, Stefania Grimaldi, Jeffrey Walker, Valentijn Pauwels
2016 Remote Sensing  
This paper reviews the recent advances on integration of remotely sensed precipitation and soil moisture with rainfall-runoff models for rainfall-driven flood forecasting.  ...  The rapid development of hydrologic remote sensing offers a potential to provide additional/alternative forcing and constraint to facilitate timely and reliable forecasts.  ...  Acknowledgments: This study is financially supported by the Bushfires and Natural Hazards CRC  ... 
doi:10.3390/rs8060456 fatcat:cbxlmrs4mjejha7fcsotmwsi3m

Assimilation of SMOS soil moisture into a distributed hydrological model and impacts on the water cycle variables over the Ouémé catchment in Benin

Delphine J. Leroux, Thierry Pellarin, Théo Vischel, Jean-Martia Cohard, Tania Gascon, François Gibon, Arnaud Mialon, Sylvie Galle, Christoph Peugeot
2016 Hydrology and Earth System Sciences Discussions  
The impact of the assimilation of surface soil moisture on the simulations of the physically based hydrological model DHSVM (Distributed Hydrology Soil Vegetation Model) is investigated in this paper for  ...  This work shows that the use of satellite precipitation products into a hydrological model can lead to large errors that can be reduced by assimilating satellite soil moisture, which has a positive impact  ...  The authors would also like to acknowledge the Global Modeling and Assimilation Office (GMAO) and the GES DISC for the dissemination of MERRA data, NOAA and NASA for the dissemination of the precipitation  ... 
doi:10.5194/hess-2015-548 fatcat:xy4lul7fe5heblftx7uq7nsyuu

The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review

Dejuan Jiang, Kun Wang
2019 Water  
A hydrological model is a useful tool to study the effects of human activities and climate change on hydrology.  ...  This review can be helpful to understand the effect of applying satellite-based remote sensing on hydrological modeling.  ...  Generally, the impact of different satellite soil moisture products on streamflow simulations is rarely compared.  ... 
doi:10.3390/w11081615 fatcat:s5yxlr7txzeyngp4n2p6kgjjfi

Assimilation of SMOS soil moisture into a distributed hydrological model and impacts on the water cycle variables over the Ouémé catchment in Benin

Delphine J. Leroux, Thierry Pellarin, Théo Vischel, Jean-Martial Cohard, Tania Gascon, François Gibon, Arnaud Mialon, Sylvie Galle, Christophe Peugeot, Luc Seguis
2016 Hydrology and Earth System Sciences  
Soil Moisture Ocean Salinity (SMOS) soil moisture is assimilated into the Distributed Hydrology Soil Vegetation Model (DHSVM) model.  ...  The purpose of this work is to show the possible synergy between quasi-real-time satellite precipitation and soil moisture by assimilating the latter into a hydrological model.  ...  The authors would also like to acknowledge the Global Modeling and Assimilation Office (GMAO) and the GES DISC for the dissemination of MERRA data, NOAA and NASA for the dissemination of the precipitation  ... 
doi:10.5194/hess-20-2827-2016 fatcat:4wz2mgce6zh3dovn35eyt57ray

The Relevance of Soil Moisture by Remote Sensing and Hydrological Modelling

Lu Zhuo, Dawei Han
2016 Procedia Engineering  
This paper focuses on exploring the advances and potential issues in current application of satellite soil moisture observations in hydrological modelling.  ...  a soil moisture product (i.e., soil moisture deficit) directly applicable to hydrological modelling should be developed.  ...  Acknowledgements This study is partially supported by Resilient Economy and Society by Integrated SysTems modelling (RESIST), Newton Fund via Natural Environment Research Council (NERC) and Economic and  ... 
doi:10.1016/j.proeng.2016.07.499 fatcat:qvlmra4nirgjhnsalgy7wohqz4

How Much Can A Priori Hydrologic Model Predictability Help in Optimal Merging of Satellite Precipitation Products?

Abebe Gebregiorgis, Faisal Hossain
2011 Journal of Hydrometeorology  
It was found that the merged product derived on the basis of runoff predictability outperformed its counterpart merged product derived on the basis of soil moisture simulation.  ...  Prior to streamflow routing, the corresponding accuracy of the spatially distributed simulations of soil moisture and runoff were used as proxy for weights in merging the precipitation products.  ...  Andrew Wood and various members of the University of Washington Land Surface Hydrology group in preparation of datasets and model runs for the VIC hydrologic model.  ... 
doi:10.1175/jhm-d-10-05023.1 fatcat:vann66443fhmljgzozihlvfh6a

Suitability of Satellite-Based Precipitation Products for Water Balance Simulations Using Multiple Observations in a Humid Catchment

Dan Zhang, Xiaomang Liu, Peng Bai, Xiang-Hu Li
2019 Remote Sensing  
A distributed hydrological model is used to evaluate the suitability of satellite-based precipitation products in simulating streamflow, evapotranspiration and soil moisture.  ...  This study assesses the suitability of five popular satellite-based precipitation products in modeling water balance in a humid region of China during the period 1998–2012.  ...  based on a distributed hydrological model.  ... 
doi:10.3390/rs11020151 fatcat:eagggmibtvdh7p656otbbwvb7m

Assessing the skill of satellite-based precipitation estimates in hydrologic applications

Ming Pan, Haibin Li, Eric Wood
2010 Water Resources Research  
Rainfall errors are shown to have strong impact on river streamflow predictions and column total soil moisture and relatively weak impact on near surface moisture and evapotranspiration.  ...  A number of satellite-based precipitation products ranging from retrievals based only on microwave measurements, combined microwave + infrared estimates, to gauge-corrected products are tested over the  ...  With respect to the difference among hydrologic variables, rainfall quality has a relatively weak impact on the upper 100 mm layer soil moisture and evapotranspiration but exerts strong impact on total  ... 
doi:10.1029/2009wr008290 fatcat:ug6lwjubkrc5znldvgbwbmx7ku

Preface to the Special Issue on "Hydrology from Space"

Anny Cazenave, Hubert Savenije
2008 Surveys in geophysics  
Remote sensing instruments aboard Earth-orbiting satellites give excellent new information on water distributed over the Earth-"Hydrology from Space" is the topic of the Special Issue of Surveys in Geophysics  ...  GRACE products have a growing interest for modellers since they can validate hydrological models. Preliminary attempts to assimilate GRACE products into the models appear highly promising.  ...  As such, the delay in the Hydros-SMAP mission may be a blessing in disguise as it may provide the hydrological community with continuous long-term global soil moisture observations.  ... 
doi:10.1007/s10712-008-9052-0 fatcat:fnqekpqtirckjau22dn2hesilm

Downscaling satellite soil moisture using geomorphometry and machine learning

Mario Guevara, Rodrigo Vargas, Benjamin Poulter
2019 PLoS ONE  
This approach relies on geomorphometry derived terrain parameters and machine learning models to improve the statistical accuracy and the spatial resolution (from 27km to 1km grids) of satellite soil moisture  ...  We conclude that the fusion of geomorphometry methods and satellite soil moisture estimates is useful to increase the spatial resolution and accuracy of satellite-derived soil moisture.  ...  Model building For this study we built a model for each annual mean of satellite soil moisture grids.  ... 
doi:10.1371/journal.pone.0219639 pmid:31550248 pmcid:PMC6759172 fatcat:qje6cdfkevcvtbvgmgm3yv3cbm

Correcting Satellite Precipitation Data and Assimilating Satellite-Derived Soil Moisture Data to Generate Ensemble Hydrological Forecasts within the HBV Rainfall-Runoff Model

Maurycy Ciupak, Bogdan Ozga-Zielinski, Jan Adamowski, Ravinesh C Deo, Krzysztof Kochanek
2019 Water  
The EnKF-BC, dynamically coupled with the HBV model for the assimilation of the satellite soil moisture observations, improved the accuracy of the simulated hydrographs significantly in the summer season  ...  The proposed approach was developed to examine the possibility of using data (e.g., precipitation and soil moisture) from the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT  ...  This implies that the rate of contribution of runoff depends on soil moisture, which is a main part of the model.  ... 
doi:10.3390/w11102138 fatcat:5cchxa2j6zgrnongoonbiiuqza

Editorial for Special Issue: "Multi-Source Data Assimilation for the Improvement of Hydrological Modeling Predictions"

Huidae Cho, Lorena Liuzzo
2021 Hydrology  
Physically-based or process-based hydrologic models play a critical role in hydrologic forecasting [...]  ...  Data Assimilation of Satellite-Based Soil Moisture into a Distributed Hydrological Model for Streamflow Predictions. Hydrology 2021, 8, 52. [CrossRef] 6. Annis, A.; Nardi, F.  ...  Soil Moisture Active Passive (SMAP) Algorithm Theoretical Basis Document Level 2 & 3 Soil Moisture (Passive) Data Products. 2015.  ... 
doi:10.3390/hydrology9010004 fatcat:plth4fbz7fdxlcerlahmpkstju

A Prior Estimation of the Spatial Distribution Parameter of Soil Moisture Storage Capacity Using Satellite-Based Root-Zone Soil Moisture Data

Yifei Tian, Lihua Xiong, Bin Xiong, Ruodan Zhuang
2019 Remote Sensing  
Two different ways to incorporate the root-zone soil moisture data to estimate the parameter β are proposed, i.e., one is to derive a priori distribution of β , and the other is to derive a fixed value  ...  The impact of using historical root-zone soil moisture data from the Soil Moisture Active Passive (SMAP) mission on the prior estimation of the parameter β was explored.  ...  data, streamflow data, and satellite soil moisture data, respectively.  ... 
doi:10.3390/rs11212580 fatcat:cmt5zrhlnbcarhzi5taaqel7zy
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