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SPATIAL ANALYSIS OF MAXIMUM RUNOFF PROBABILITIES IN BULGARIA: A COMBINED APPROACH USING ERA5 AND LAND SURFACE MODELING

Petko Tsarev

First published: 2026DOI pendingView metrics

Abstract

This article presents a reproducible workflow for deriving gridded total runoff threshold layers for Bulgaria and the adjacent regional domain. ERA5-Land hourly runoff for 1981-2025 was first converted from accumulated fields to hourly increments following the ERA5-Land accumulation convention [4][7]. Annual maxima were then derived for 1 h, 3 h, 6 h and 24 h totals, and fixed annual exceedance probability (AEP) return levels were estimated for 1% and 5%. The fine resolution product uses D(Q) downscaling: return levels estimated on the native ERA5-Land grid are redistributed to an approximately 2 km grid by physically interpretable weights. SURFEX is used as a process-oriented land surface modelling with in-situ measurements reference for the focused 2013-2025 period, not as hydrometric validation. The resulting layers are suitable for regional threshold screening, GIS analysis and the design of preliminary runoff warning indicators, provided that their model origin and limitations are retained.

Publication details

Title
SPATIAL ANALYSIS OF MAXIMUM RUNOFF PROBABILITIES IN BULGARIA: A COMBINED APPROACH USING ERA5 AND LAND SURFACE MODELING
Authors
Petko Tsarev
Proceedings
SWS 2026 Conference Preprints
Publisher
STEF92 Technology
Year
2026
Pages
Not available yet
ISSN
1314-2704; 1314-2704
ISBN
Not available yet
Language
en
Publication type
Preprint
References7
  1. Artinyan, E., Vincendon, B., Kroumova, K., Nedkov, N., Tsarev, P., Balabanova, S., Koshinchanov, G., 2016. Flood forecasting and alert system for Arda River basin. Journal of Hydrology. DOI: 10.1016/j.jhydrol.2016.02.059

  2. Bessardon, G., Rieutord, T., Gleeson, E., Palmason, B., Oswald, S., 2024. High-Resolution Land Use Land Cover Dataset for Meteorological Modelling - Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset. Preprints. DOI: 10.20944/preprints202409.0953.v1

  3. Copernicus Land Monitoring Service, 2018. CORINE Land Cover 2018 (vector/raster 100 m), Europe, 6-yearly. DOI: 10.2909/960998c1-1870-4e82-8051-6485205ebbac

  4. ECMWF, 2025. ERA5-Land: data documentation. Copernicus Knowledge Base. https://confluence.ecmwf.int/display/CKB/ERA5-Land%3A+data+documentation

  5. England, J.F., Jr., Cohn, T.A., Faber, B.A., Stedinger, J.R., Thomas, W.O., Jr., Veilleux, A.G., Kiang, J.E., Mason, R.R., Jr., 2018. Guidelines for determining flood flow frequency - Bulletin 17C. U.S. Geological Survey Techniques and Methods, book 4, chap. B5. DOI: 10.3133/tm4B5

  6. Masson, V., Le Moigne, P., Martin, E., Faroux, S., Alias, A., Alkama, R., Belamari, S., Barbu, A., Boone, A., Bouyssel, F., Brousseau, P., Brun, E., Calvet, J.-C., Carrer, D., Decharme, B., Delire, C., Donier, S., Essaouini, K., Gibelin, A.-L., Giordani, H., Habets, F., Jidane, M., Kerdraon, G., Kourzeneva, E., Lafaysse, M., Lafont, S., Lebeaupin Brossier, C., Lemonsu, A., Mahfouf, J.-F., Marguinaud, P., Mokhtari, M., Morin, S., Salgado, R., Seity, Y., Taillefer, F., Tanguy, G., Tulet, P., Vincendon, B., Vionnet, V., Voldoire, A., 2013. The SURFEXv7.2 land and ocean surface platform for coupled or offline simulation of earth surface variables and fluxes. Geoscientific Model Development, 6, 929-960. DOI: 10.5194/gmd-6-929-2013

  7. Munoz-Sabater, J., Dutra, E., Agusti-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Boussetta, S., Choulga, M., Harrigan, S., Hersbach, H., Martens, B., Miralles, D.G., Piles, M., Rodriguez-Fernandez, N.J., Zsoter, E., Buontempo, C., Thepaut, J.-N., 2021. ERA5-Land: a state-of-the-art global reanalysis dataset for land applications. Earth System Science Data, 13, 4349-4383. DOI: 10.5194/essd-13-4349-2021

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