Additional value of using satellite-based soil moisture and two sources of groundwater data for hydrological model calibration

Mehmet Cüneyd Demirel*, Alparslan Özen, Selen Orta, Emir Toker, Hatice Kübra Demir, Ömer Ekmekcioğlu, Hüsamettin Tayşi, Sinan Eruçar, Ahmet Bilal Sağ, Ömer Sari, Ecem Tuncer, Hayrettin Hanci, Türkan Irem Özcan, Hilal Erdem, Mehmet Melih Koşucu, Eyyup Ensar Başakin, Kamal Ahmed, Awat Anwar, Muhammet Bahattin Avcuoğlu, Ömer VanliSimon Stisen, Martijn J. Booij

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22 Atıf (Scopus)

Özet

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. Firstly, the most important parameters are selected using sensitivity analysis, and then these parameters are included in a subsequent model calibration. The results of our multi-objective calibration reveal a substantial contribution of remote sensing products to the lumped model calibration, even if their spatially-distributed information is lost during the spatial aggregation. Inclusion of new observations, such as groundwater levels from wells and remotely sensed soil moisture to the calibration improves the model's physical behavior, while it keeps a reasonable water balance that is the key objective of every hydrologic model.

Orijinal dilİngilizce
Makale numarası2083
DergiWater (Switzerland)
Hacim11
Basın numarası10
DOI'lar
Yayın durumuYayınlandı - 1 Eki 2019

Bibliyografik not

Publisher Copyright:
© 2019 by the authors.

Finansman

This research received funding from the TüBITAK grant 118C020. The first author (M.C.D.) is supported by the Turkish Scientific and Technical Research Council (TüBITAK grant 118C020). The co-author K.A. is supported by the Professional Development Research University (PDRU) grant no. Q.J130000.21A2.04E10 of Universiti Teknologi Malaysia. Authors S.S. and M.C.D. acknowledge the financial support for the SPACE project by the Villum Foundation (http://villumfonden.dk/) through their Young Investigator Program (grant VKR023443). We also acknowledge the financial support of the Cornelis Lely Stichting (C.L.S.), Project No. 20957310. We thank Bart van Osnabrugge, Albrecht Weerts and Eric Sprokkereef for providing the meteorological data from the IMPREX project. Groundwater data for the French part of the Moselle sub-basin were obtained from Portail national d'Accès aux Données sur les Eaux Souterraines (http://www.ades.eaufrance.fr/), and for the Saar sub-basin from the Wasser-und Schifffahrtsamt Saarbrücken. We thank Dennis Meissner from Referat M2-Mitarbeiter/innen group in BfG, Koblenz for the valuable discussions about Saar groundwater data during C.L.S. project meetings Acknowledgments: The first author (M.C.D.) is supported by the Turkish Scientific and Technical Research Council (TÜBİTAK grant 118C020). The co-author K.A. is supported by the Professional Development Research University (PDRU) grant no. Q.J130000.21A2.04E10 of Universiti Teknologi Malaysia. Authors S.S. and M.C.D. acknowledge the financial support for the SPACE project by the Villum Foundation (http://villumfonden.dk/) through their Young Investigator Program (grant VKR023443). We also acknowledge the financial support of the Cornelis Lely Stichting (C.L.S.), Project No. 20957310. We thank Bart van Osnabrugge, Albrecht Weerts and Eric Sprokkereef for providing the meteorological data from the IMPREX project. Groundwater data for the French part of the Moselle sub-basin were obtained from Portail national d’Accès aux Données sur les Eaux Souterraines (http://www.ades.eaufrance.fr/), and for the Saar sub-basin from the Wasser-und Schifffahrtsamt Saarbrücken. We thank Dennis Meissner from Referat M2–Mitarbeiter/innen group in BfG, Koblenz for the valuable discussions about Saar groundwater data during C.L.S. project meetings. Funding: This research received funding from the TÜBİTAK grant 118C020.

FinansörlerFinansör numarası
Portail national d'Accès aux Données sur les Eaux Souterraines
Professional Development Research UniversityQ.J130000.21A2.04E10
Turkish Scientific and Technical Research Council
Villum FondenVKR023443, 20957310
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu118C020
Universiti Teknologi Malaysia

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