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

  • Yazar Mehmet Cuneyd Demirel
    Alparslan Ozen
    Selen Orta
    Emir Toker
    Hatice Kubra Demir
    Omer Ekmekcioglu
    Sinan Erucar
    Ahmet Bilal Sag
    Omer Sari
    Hayrettin Hanci
    Hilal Erdem
    Mehmet Melih Kosucu
    Eyyup Ensar Basakin
    Muhammet Bahattin Avcuoglu
    Omer Vanli
  • Tür Makale
  • Yayın Yılı 2019
  • Veritabanları Wos,Scopus
  • DOI 10.3390/w11102083
  • Yayıncı MDPI
  • Dergi Water 11, ( 10 ),
  • Tek Biçim Adres https://hdl.handle.net/20.500.14081/1390
  • Konu Başlıkları GRACE
    GRACE
    SMAP
    ESA CCI SM
    AMSR-E
    Moselle River
    HBV

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 Bryans 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.

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Eser Adı
(dc.title)
Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration
Yazar
(dc.contributor.author)
Mehmet Cuneyd Demirel
Yazar
(dc.contributor.author)
Alparslan Ozen
Yazar
(dc.contributor.author)
Selen Orta
Yazar
(dc.contributor.author)
Emir Toker
Yazar
(dc.contributor.author)
Hatice Kubra Demir
Yazar
(dc.contributor.author)
Omer Ekmekcioglu
Yazar
(dc.contributor.author)
Sinan Erucar
Yazar
(dc.contributor.author)
Ahmet Bilal Sag
Yazar
(dc.contributor.author)
Omer Sari
Yazar
(dc.contributor.author)
Hayrettin Hanci
Yazar
(dc.contributor.author)
Hilal Erdem
Yazar
(dc.contributor.author)
Mehmet Melih Kosucu
Yazar
(dc.contributor.author)
Eyyup Ensar Basakin
Yazar
(dc.contributor.author)
Muhammet Bahattin Avcuoglu
Yazar
(dc.contributor.author)
Omer Vanli
Yayın Yılı
(dc.date.issued)
2019
Tür
(dc.type)
Makale
Özet
(dc.description.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 Bryans 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.
Açık Erişim Tarihi
(dc.date.available)
2019-10-06
Yayıncı
(dc.publisher)
MDPI
Dil
(dc.language.iso)
En
Konu Başlıkları
(dc.subject)
GRACE
Konu Başlıkları
(dc.subject)
GRACE
Konu Başlıkları
(dc.subject)
SMAP
Konu Başlıkları
(dc.subject)
ESA CCI SM
Konu Başlıkları
(dc.subject)
AMSR-E
Konu Başlıkları
(dc.subject)
Moselle River
Konu Başlıkları
(dc.subject)
HBV
Tek Biçim Adres
(dc.identifier.uri)
https://hdl.handle.net/20.500.14081/1390
Dergi
(dc.relation.journal)
Water
Dergi Sayısı
(dc.identifier.issue)
10
Esere Katkı Sağlayan
(dc.contributor.other)
Demirel, MC
Esere Katkı Sağlayan
(dc.contributor.other)
Ozen, A
Esere Katkı Sağlayan
(dc.contributor.other)
Orta, S
Esere Katkı Sağlayan
(dc.contributor.other)
Toker, E
Esere Katkı Sağlayan
(dc.contributor.other)
Demir, HK
Esere Katkı Sağlayan
(dc.contributor.other)
Ekmekcioglu, O
Esere Katkı Sağlayan
(dc.contributor.other)
Taysi, H
Esere Katkı Sağlayan
(dc.contributor.other)
Erucar, S
Esere Katkı Sağlayan
(dc.contributor.other)
Sag, AB
Esere Katkı Sağlayan
(dc.contributor.other)
Sari, O
Esere Katkı Sağlayan
(dc.contributor.other)
Tuncer, E
Esere Katkı Sağlayan
(dc.contributor.other)
Hanci, H
Esere Katkı Sağlayan
(dc.contributor.other)
Ozcan, TI
Esere Katkı Sağlayan
(dc.contributor.other)
Erdem, H
Esere Katkı Sağlayan
(dc.contributor.other)
Kosucu, MM
Esere Katkı Sağlayan
(dc.contributor.other)
Basakin, EE
Esere Katkı Sağlayan
(dc.contributor.other)
Ahmed, K
Esere Katkı Sağlayan
(dc.contributor.other)
Anwar, A
Esere Katkı Sağlayan
(dc.contributor.other)
Avcuoglu, MB
Esere Katkı Sağlayan
(dc.contributor.other)
Vanli, O
Esere Katkı Sağlayan
(dc.contributor.other)
Stisen, S
Esere Katkı Sağlayan
(dc.contributor.other)
Booij, MJ
DOI
(dc.identifier.doi)
10.3390/w11102083
Orcid
(dc.identifier.orcid)
0000-0003-2764-9937
Dergi Cilt
(dc.identifier.volume)
11
wosquality
(dc.identifier.wosquality)
Q2
wosauthorid
(dc.contributor.wosauthorid)
AAA-8957-2020
Department
(dc.contributor.department)
Mimari Restorasyon
Wos No
(dc.identifier.wos)
WOS:000495598400127
Veritabanları
(dc.source.platform)
Wos
Veritabanları
(dc.source.platform)
Scopus
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