Hydrological performance of the ERA5 reanalysis for flood modeling in Tunisia with the LISFLOOD and GR4J models

被引:34
作者
Cantoni, Elia [1 ]
Tramblay, Yves [1 ,3 ,5 ]
Grimaldi, Stefania [2 ]
Salamon, Peter [2 ]
Dakhlaoui, Hamouda [3 ,4 ]
Dezetter, Alain [1 ,3 ]
Thiemig, Vera [2 ]
机构
[1] Univ Montpellier, HSM, CNRS, IRD, Montpellier, France
[2] European Commiss, Joint Res Ctr, Ispra, Italy
[3] Ecole Natl Ingn Tunis ENIT, Lab Mod lisat Hydraul & Environm LMHE, Tunis, Tunisia
[4] Univ Carthage, Ecole Natl Architecture & Urbanisme, Sidi Bou Said, Tunisia
[5] HydroSci, 300 Ave Pr Emile Janbreau, F-34090 Montpellier, France
关键词
Floods; Tunisia; LISFLOOD; EFAS; GR4J; ERA5; RAINFALL-RUNOFF MODELS; EVOLUTIONARY ALGORITHMS; CLIMATE-CHANGE; ALERT SYSTEM; VARIABILITY; REGIONS; SCALE; BASIN; CALIBRATION; CHALLENGES;
D O I
10.1016/j.ejrh.2022.101169
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Study region: This study is focused on 6 catchments in Tunisia, in North Africa, under a semi-arid climate where daily river discharge and precipitation observations are available between 1992 and 2006.Study focus: The distributed hydrological model LISFLOOD has been compared with a lumped model, GR4J, to reproduce river runoff and floods, using observed rainfall interpolated from rain gauges and from the ERA5 reanalysis.New hydrological insights for the region under study: LISFLOOD and GR4J with their default pa-rameters have little skill in Tunisia, but when calibrated, both hydrological models provide similar performance to reproduce river discharge,with a mean KGE of 0.65 for GR4J driven by observed rainfall, and 0.59 with ERA5, and similarly a mean KGE of 0.59 for LISFLOOD driven by observed rainfall and 0.48 with ERA5. All model simulations perform very similarly using either observed rainfall data from rain gauges inter-polated over the basins or ERA5 rainfall, indicating its value as an alternative to observations in data-scarce areas such as Tunisia. The development of regional databases of river discharge ob-servations in North Africa could allow the calibration of such hydrological models on a larger scale for operational flood modeling and forecasting.
引用
收藏
页数:15
相关论文
共 74 条
[1]   GloFAS - global ensemble streamflow forecasting and flood early warning [J].
Alfieri, L. ;
Burek, P. ;
Dutra, E. ;
Krzeminski, B. ;
Muraro, D. ;
Thielen, J. ;
Pappenberger, F. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2013, 17 (03) :1161-1175
[2]  
Alfieri L., 2021, GEOPHYS MONOGR SER, P307, DOI [10.1002/9781119427339.ch17, DOI 10.1002/9781119427339.CH17]
[3]   Accelerating advances in continental domain hydrologic modeling [J].
Archfield, Stacey A. ;
Clark, Martyn ;
Arheimer, Berit ;
Hay, Lauren E. ;
McMillan, Hilary ;
Kiang, Julie E. ;
Seibert, Jan ;
Hakala, Kirsti ;
Bock, Andrew ;
Wagener, Thorsten ;
Farmer, William H. ;
Andreassian, Vazken ;
Attinger, Sabine ;
Viglione, Alberto ;
Knight, Rodney ;
Markstrom, Steven ;
Over, Thomas .
WATER RESOURCES RESEARCH, 2015, 51 (12) :10078-10091
[4]   A new flashiness index: Characteristics and applications to midwestern rivers and streams [J].
Baker, DB ;
Richards, RP ;
Loftus, TT ;
Kramer, JW .
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2004, 40 (02) :503-522
[5]   Intercomparison of gridded precipitation datasets for prospective hydrological applications in Sri Lanka [J].
Bandara, Upeakshika ;
Agarwal, Anshul ;
Srinivasan, Govindarajalu ;
Shanmugasundaram, Jothiganesh ;
Jayawardena, I. M. Shiromani .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2022, 42 (06) :3378-3396
[6]   Evaluation of daily precipitation analyses in E-OBS (v19.0e) and ERA5 by comparison to regional high-resolution datasets in European regions [J].
Bandhauer, Moritz ;
Isotta, Francesco ;
Lakatos, Monika ;
Lussana, Cristian ;
Baserud, Line ;
Izsak, Beatrix ;
Szentes, Oliver ;
Tveito, Ole Einar ;
Frei, Christoph .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2022, 42 (02) :727-747
[7]   The european flood alert system EFAS - Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts [J].
Bartholmes, J. C. ;
Thielen, J. ;
Ramos, M. H. ;
Gentilini, S. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2009, 13 (02) :141-153
[8]   Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments [J].
Beck, Hylke E. ;
Pan, Ming ;
Lin, Peirong ;
Seibert, Jan ;
van Dijk, Albert I. J. M. ;
Wood, Eric F. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (17)
[9]   A first collective validation of global fluvial flood models for major floods in Nigeria and Mozambique [J].
Bernhofen, Mark V. ;
Whyman, Charlie ;
Trigg, Mark A. ;
Sleigh, P. Andrew ;
Smith, Andrew M. ;
Sampson, Christopher C. ;
Yamazaki, Dai ;
Ward, Philip J. ;
Rudari, Roberto ;
Pappenberger, Florian ;
Dottori, Francesco ;
Salamon, Peter ;
Winsemius, Hessel C. .
ENVIRONMENTAL RESEARCH LETTERS, 2018, 13 (10)
[10]   Developing observational methods to drive future hydrological science: Can we make a start as a community? [J].
Beven, Keith ;
Asadullah, Anita ;
Bates, Paul ;
Blyth, Eleanor ;
Chappell, Nick ;
Child, Stewart ;
Cloke, Hannah ;
Dadson, Simon ;
Everard, Nick ;
Fowler, Hayley J. ;
Freer, Jim ;
Hannah, David M. ;
Heppell, Kate ;
Holden, Joseph ;
Lamb, Rob ;
Lewis, Huw ;
Morgan, Gerald ;
Parry, Louise ;
Wagener, Thorsten .
HYDROLOGICAL PROCESSES, 2020, 34 (03) :868-873