Peer-reviewed articles 17,970 +


Title: USE OF COPERNICUS METEOROLOGICAL DATA FOR THE PURPOSES OF HYDROLOGICAL MODELING
USE OF COPERNICUS METEOROLOGICAL DATA FOR THE PURPOSES OF HYDROLOGICAL MODELING

PlumX Article Metrics by Elsevier
Georgy Koshinchanov; Silviya Stoyanova
10.5593/sgem2023/3.1/s12.23
10.5593/sgem2023/3.1
1314-2704
978-619-7603-58-3
English
23
3.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Hydrology and Water Resources
Floods are one of the most devastating hazardous events often causing destruction of infrastructure and loss of lives. In order to mitigate negative flood impact a reliable hydrological forecast is of great importance. Thus using trustworthy information on the meteorological elements that mostly contribute to the occurrence of floods – precipitation and temperatures, is essential.
Although the accuracy of the global forecasting models like ECMWF, GFS etc. has improved a lot, still sometimes there are extreme meteorological events not well forecasted or even missed. Given these cases hydrological forecasts also show to be ineffective with not having well forecasted certain events neither having warnings issued. That is why it is important to have robust meteorological analysis and reanalysis data using any available information from stations, radars, satellites, etc.
An assessment of the results of modelling the hydrological processes in a watershed using Copernicus’ ERA5 climate reanalysis data is presented in this paper. MIKE 11-NAM hydrological module for rainfall-runoff modelling was applied over Fakiyska river basin in Bulgaria and two meteorological datasets (dry temperature at 2 m and precipitation) for the period 2017-2022 were used: one with observed data and the other one with Copernicus’ ERA5 climate reanalysis.
As a first iteration the hydrological model was applied using observed meteorological data and was further calibrated and validated towards measured discharge data. Next the hydrological processes in the watershed were simulated again using meteorological information for the same period from ERA5 climate reanalysis data.
An analysis of the observed meteorological data and the ERA5 dataset was performed prior to comparing the results of the hydrological modelling with the ERA5 dataset to the results of the modelling with observed data. Finally the results of both the scenarios were analyzed for evaluating model performance using ERA5 dataset.
[1] Yordanova V., Stoyanova V., Modeling floods with a distributed hydrological model in a river catchement, (2020), International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, 2020-August (3.1), pp. 249 – 255; DOI: 10.5593/sgem2020/3.1/s12.033
[2] Ninov P., Bojilova E., High flows determination at ungauged river stretches using regionalization approach (example Mesta watershed), (2021), International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, 21 (3.1), pp. 99 – 106; DOI: 10.5593/sgem2021/3.1/s12.14
[3] Tarek, M., Brissette, F. P., and Arsenault, R.: Evaluation of the ERA5 reanalysis as a potential reference dataset for hydrological modelling over North America, Hydrol. Earth Syst. Sci., 24, 2527–2544, https://doi.org/10.5194/hess-24-2527-2020, 2020.
[4] V. Fortin, L. Perreault, J.D. Salas, Retrospective analysis and forecasting of streamflows using a shifting level model, Journal of Hydrology, Volume 296, Issues 1– 4, 2004, Pages 135-163, ISSN 0022-1694, https://doi.org/10.1016/j.jhydrol.2004.03.016.
[5] Duethmann, D., Zimmer, J., Gafurov, A., Guntner, A., Kriegel, D., Merz, B., & Vorogushyn, S. (2013). Evaluation of areal precipitation estimates based on downscaled reanalysis and station data by hydrological modelling. Hydrology and Earth System Sciences, 17(7), 2415-2434.
[6] Tarek, M., Brissette, F. P., & Arsenault, R. (2020). Evaluation of the ERA5 reanalysis as a potential reference dataset for hydrological modelling over North America. Hydrology and Earth System Sciences, 24(5), 2527-2544.
[7] Munoz Sabater, Joaquin & Dutra, Emanuel & Agusti-Panareda, Anna & Albergel, Clement & Arduini, Gabriele & Balsamo, Gianpaolo & Boussetta, Souhail & Choulga, Margarita & Harrigan, Shaun & Hersbach, Hans & Martens, Brecht & Miralles, Diego & Piles, Maria & Rodriguez-Fernandez, Nemesio & Zsoter, Ervin & Buontempo, Carlo & Thepaut, J.-N. (2021). ERA5-Land: A state-of-the-art global reanalysis dataset for land applications. Earth System Science Data. 13. 4349-4383. 10.5194/essd-13-4349-2021.
[8] DHI-MIKE BY 2009. MIKE11. A modelling System for rivers and channels. Reference manual
[9] Moriasi, D.N., Arnold, J.G., Van Liew, M.W., Bingner, R.L., Harmel, R.D., Veith, T.L., Model evaluation guidelines for systematic quantification of accuracy in watershed simulations, Transactions of the ASABE 2007 v.50 no.3 pp. 885-900.
[10] Servat, E., Dezetter, A. (1991). Selection of calibration objective functions in the context of rainfall-ronoff modelling in a Sudanese savannah area. Hydrological Sciences Journal, 36(4), 307-330.
[11] Koshinchanov, G., Balabanova Sn. (2021) Bul. J. Meteo & Hydro 25/1 (2021) Improving the flood forecasting by reducing the time step. (in Bulgarian) Bulgarian Journal of Meteorology and Hydrology, vol 25/1 (2021), ISSN 2535-0595
[12] Stoyanova V., Yordanova V., Creation of digital surface models and digital elevation models for the purposes of two-dimensional hydraulic modeling, (2019) International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, 19 (3.1), pp. 113 – 120; DOI: 10.5593/sgem2019/3.1/S12.015
conference
https://doi.org/10.5593/sgem2023/3.1/s12.23
Download PDF
Proceedings of 23rd International Multidisciplinary Scientific GeoConference SGEM 2023
23rd International Multidisciplinary Scientific GeoConference SGEM 2023, 03 - 09 July, 2023
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
191-198
03 - 09 July, 2023
website
9146
Hydrological modelling, Hydrological forecasting, ERA5 reanalysis, MIKE 11-NAM