Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration

Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration. Demirel, Özen, Orta, Toker, Demir, Ekmekcioğlu, Tayşi, Eruçar, Sağ, Sarı, Tuncer, Hancı, Özcan, Erdem, Koşucu, Başakın, Ahmed, Anwar, Avcuoğlu, Vanlı, Stisen, & Booij Water, 11(10):2083, 10, 2019.

Website doi abstract bibtex 5 downloads

Although the complexity of physically-based models continues to increase, they still need to be calibrated. In recent years, there has been an increasing interest in using new satellite technologies and products with high resolution in model evaluations and decision-making. The aim of this study is to investigate the value of different remote sensing products and groundwater level measurements in the temporal calibration of a well-known hydrologic model i.e., Hydrologiska Bryåns Vattenbalansavdelning (HBV). This has rarely been done for conceptual models, as satellite data are often used in the spatial calibration of the distributed models. Three different soil moisture products from the European Space Agency Climate Change Initiative Soil Measure (ESA CCI SM v04.4), The Advanced Microwave Scanning Radiometer on the Earth Observing System (EOS) Aqua satellite (AMSR-E), soil moisture active passive (SMAP), and total water storage anomalies from Gravity Recovery and Climate Experiment (GRACE) are collected and spatially averaged over the Moselle River Basin in Germany and France. Different combinations of objective functions and search algorithms, all targeting a good fit between observed and simulated streamflow, groundwater and soil moisture, are used to analyze the contribution of each individual source of information.

@article{
 title = {Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration},
 type = {article},
 year = {2019},
 keywords = {AMSR-E,ESA CCI SM v04.4,GRACE,HBV,Moselle River,SMAP},
 pages = {2083},
 volume = {11},
 websites = {https://www.mdpi.com/2073-4441/11/10/2083},
 month = {10},
 day = {6},
 id = {d3d98445-7087-3451-9920-dc3add93f622},
 created = {2021-12-02T09:37:06.838Z},
 file_attached = {false},
 profile_id = {b0dfdb53-b667-3b16-bb90-3fea29a49cff},
 group_id = {2fdabcb8-a714-3bb4-b42d-1e6a075d4c78},
 last_modified = {2024-01-11T08:40:21.529Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {Although the complexity of physically-based models continues to increase, they still need to be calibrated. In recent years, there has been an increasing interest in using new satellite technologies and products with high resolution in model evaluations and decision-making. The aim of this study is to investigate the value of different remote sensing products and groundwater level measurements in the temporal calibration of a well-known hydrologic model i.e., Hydrologiska Bryåns Vattenbalansavdelning (HBV). This has rarely been done for conceptual models, as satellite data are often used in the spatial calibration of the distributed models. Three different soil moisture products from the European Space Agency Climate Change Initiative Soil Measure (ESA CCI SM v04.4), The Advanced Microwave Scanning Radiometer on the Earth Observing System (EOS) Aqua satellite (AMSR-E), soil moisture active passive (SMAP), and total water storage anomalies from Gravity Recovery and Climate Experiment (GRACE) are collected and spatially averaged over the Moselle River Basin in Germany and France. Different combinations of objective functions and search algorithms, all targeting a good fit between observed and simulated streamflow, groundwater and soil moisture, are used to analyze the contribution of each individual source of information.},
 bibtype = {article},
 author = {Demirel, undefined and Özen, undefined and Orta, undefined and Toker, undefined and Demir, undefined and Ekmekcioğlu, undefined and Tayşi, undefined and Eruçar, undefined and Sağ, undefined and Sarı, undefined and Tuncer, undefined and Hancı, undefined and Özcan, undefined and Erdem, undefined and Koşucu, undefined and Başakın, undefined and Ahmed, undefined and Anwar, undefined and Avcuoğlu, undefined and Vanlı, undefined and Stisen, undefined and Booij, undefined},
 doi = {10.3390/w11102083},
 journal = {Water},
 number = {10}
}

Downloads: 5