The effects of satellite soil moisture data on the parametrization of topsoil and root zone soil moisture in a conceptual hydrological model

被引:7
作者
Kuban, Martin [1 ]
Parajka, Juraj [2 ,3 ]
Tong, Rui [2 ,3 ]
Greimeister-Pfeil, Isabella [2 ,5 ]
Vreugdenhil, Mariette [1 ,5 ]
Szolgay, Jan [1 ]
Kohnova, Silvia [1 ]
Hlavcova, Kamila [1 ]
Sleziak, Patrik [4 ]
Brziak, Adam [1 ]
机构
[1] Slovak Univ Technol Bratislava, Fac Civil Engn, Dept Land & Water Resources Management, Radlinskeho 11, Bratislava 81005, Slovakia
[2] TU Wien, Ctr Water Resource Syst, A-1040 Vienna, Austria
[3] TU Wien, Inst Hydraul Engn & Water Resources Management, A-1040 Vienna, Austria
[4] Slovak Acad Sci, Inst Hydrol, Dubravska Cesta 9, Bratislava 84104, Slovakia
[5] TU Wien, Dept Geodesy & Geoinformat, A-1040 Vienna, Austria
关键词
ASCAT; TUW model; Soil moisture; Multi-objective calibration; Parameter uncertainty; LOGNORMAL-DISTRIBUTION MODEL; MULTIOBJECTIVE CALIBRATION; ERS SCATTEROMETER; DATA ASSIMILATION; GLOBAL OPTIMIZATION; TEMPORAL STABILITY; PRODUCTS; RUNOFF; COMBINATION; SURFACE;
D O I
10.2478/johh-2022-0021
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
In a previous study, the topsoil and root zone ASCAT satellite soil moisture data were implemented into three multi-objective calibration approaches of the TUW hydrological model in 209 Austrian catchments. This paper examines the model parametrization in those catchments, which in the validation of the dual-layer conceptual semi-distributed model showed improvement in the runoff simulation efficiency compared to the single objective runoff calibration. The runoff simulation efficiency of the three multi-objective approaches was separately considered. Inferences about the specific location and the physiographic properties of the catchments where the inclusion of ASCAT data proved beneficial were made. Improvements were primarily observed in the watersheds with lower slopes (median of the catchment slope less than 15 per cent) and a higher proportion of farming land use (median of the proportion of agricultural land above 20 per cent), as well as in catchments where the runoff is not significantly influenced by snowmelt and glacier runoff. Changes in the mean and variability of the field capacity parameter FC of the soil moisture regime were analysed. The values of FC decreased by 20 per cent on average. Consequently, the catchments' water balance closure generally improved by the increase in catchment evapotranspiration during the validation period. Improvements in model efficiency could be attributed to better runoff simulation in the spring and autumn month. The findings refine recommendations regarding when hydrological modelling could consider satellite soil moisture data added to runoff signatures in calibration useful.
引用
收藏
页码:295 / 307
页数:13
相关论文
共 66 条
[1]   Conceptual hydrological model calibration using multi-objective optimization techniques over the transboundary Komadugu-Yobe basin, Lake Chad Area, West Africa [J].
Adeyeri, O. E. ;
Laux, P. ;
Arnault, J. ;
Lawin, A. E. ;
Kunstmann, H. .
JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2020, 27
[2]  
[Anonymous], DEOPTIM DIFFERENTIAL
[3]   Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors [J].
Beck, Hylke E. ;
Pan, Ming ;
Miralles, Diego G. ;
Reichle, Rolf H. ;
Dorigo, Wouter A. ;
Hahn, Sebastian ;
Sheffield, Justin ;
Karthikeyan, Lanka ;
Balsamo, Gianpaolo ;
Parinussa, Robert M. ;
van Dijk, Albert I. J. M. ;
Du, Jinyang ;
Kimball, John S. ;
Vergopolan, Noemi ;
Wood, Eric F. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2021, 25 (01) :17-40
[4]  
Bergstrom S., 1992, The HBV model-its structure and applications
[5]   Key components of shared decision making models: a systematic review [J].
Bomhof-Roordink, Hanna ;
Gartner, Fania R. ;
Stiggelbout, Anne M. ;
Pieterse, Arwen H. .
BMJ OPEN, 2019, 9 (12)
[6]   Antecedent wetness conditions based on ERS scatterometer data [J].
Brocca, L. ;
Melone, F. ;
Moramarco, T. ;
Morbidelli, R. .
JOURNAL OF HYDROLOGY, 2009, 364 (1-2) :73-87
[7]   Soil Moisture for Hydrological Applications: Open Questions and New Opportunities [J].
Brocca, Luca ;
Ciabatta, Luca ;
Massari, Christian ;
Camici, Stefania ;
Tarpanelli, Angelica .
WATER, 2017, 9 (02)
[8]   Correcting Satellite Precipitation Data and Assimilating Satellite-Derived Soil Moisture Data to Generate Ensemble Hydrological Forecasts within the HBV Rainfall-Runoff Model [J].
Ciupak, Maurycy ;
Ozga-Zielinski, Bogdan ;
Adamowski, Jan ;
Deo, Ravinesh C. ;
Kochanek, Krzysztof .
WATER, 2019, 11 (10)
[9]   Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in Over 700 Catchments Throughout Europe [J].
De Santis, D. ;
Biondi, D. ;
Crow, W. T. ;
Camici, S. ;
Modanesi, S. ;
Brocca, L. ;
Massari, C. .
WATER RESOURCES RESEARCH, 2021, 57 (06)
[10]   Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration [J].
Demirel, Mehmet Cuneyd ;
Ozen, Alparslan ;
Orta, Selen ;
Toker, Emir ;
Demir, Hatice Kubra ;
Ekmekcioglu, Omer ;
Taysi, Huesamettin ;
Erucar, Sinan ;
Sag, Ahmet Bilal ;
Sari, Omer ;
Tuncer, Ecem ;
Hanci, Hayrettin ;
Ozcan, Tuerkan Irem ;
Erdem, Hilal ;
Kosucu, Mehmet Melih ;
Basakin, Eyyup Ensar ;
Ahmed, Kamal ;
Anwar, Awat ;
Avcuoglu, Muhammet Bahattin ;
Vanli, Omer ;
Stisen, Simon ;
Booij, Martijn J. .
WATER, 2019, 11 (10)