gesjGEOGRAPHY, ENVIRONMENT, SUSTAINABILITYGEOGRAPHY, ENVIRONMENT, SUSTAINABILITY2071-93882542-1565Russian Geographical Society10.24057/2071-9388-2026-2423gesj-4628Research ArticleRESEARCH PAPERСтатьиAnnual Runoff and Climate Characteristics in large River Basins of Northern Eurasia under Global WarmingGeorgiadiAlexander G.

Staromonetny lane, Moscow, 119017

georgiadi@igras.ruBarabanovaElena A.

Staromonetny lane, Moscow, 119017

MilyukovaIrina P.

Staromonetny lane, Moscow, 119017

MorozovaPolina A.

Staromonetny lane, Moscow, 119017

NarykovAleksey N.

Staromonetny lane, Moscow, 119017

Institute of Geography Russian Academy of SciencesRussian Federation202631032026191167180Copyright © Georgiadi A.G., Barabanova E.A., Milyukova I.P., Morozova P.A., Narykov A.N., 20262026Georgiadi A.G., Barabanova E.A., Milyukova I.P., Morozova P.A., Narykov A.N.Georgiadi A.G., Barabanova E.A., Milyukova I.P., Morozova P.A., Narykov A.N.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://ges.rgo.ru/jour/article/view/4628

The runoff and climatic characteristics averaged over the basins of major rivers of the East European Plain (Northern Dvina, Pechora, Volga, Don, and Dnieper) and Siberia (Ob, Yenisei, and Lena) under global warming were analyzed. This analysis was based on both observational data and estimates obtained from global climate models (GCMs) under a baseline period (1930s–1980), contemporary global warming conditions (1981–2010), and scenario-based anthropogenic global warming projections into the mid-21st century (2040–2069). The main results suggest that long-term averaged annual runoff estimates derived from an ensemble of 18 CMIP6 GCMs do not accurately reproduce the observed runoff during either the contemporary global warming or baseline periods. Nevertheless, these models generally capture the direction of runoff changes between these two periods, though they tend to underestimate the magnitude of these changes. Consequently, multi-model mean projections are useful in estimating the relative changes in runoff under different global warming scenarios. A key finding of this study is that selecting GCMs that can best reproduce the most reliably observed river runoff and climatic characteristics of river basins under contemporary global warming can improve ensemble model estimates of runoff. In addition, it was found that basin-averaged observed and modeled annual atmospheric precipitation over the Northern Dvina basin, obtained from the RIHMI-WDC archive (after applying all relevant corrections) and multi-model mean data, respectively, were closely aligned. This was in contrast to data of reanalysis and data that only included wetting corrections from the CRU archive.

large riversannual runoffclimate characteristicsglobal warmingglobal climate modelsNorthern EurasiaThe studies were supported by grant of the RSF 24-27-00143 project “River water flow in Russia during epochs of global warming.”ReferencesAbramowitz G., Herger N., Gutmann E., Hammerling D., Knutti R., Leduc M., Lorenz R., Pincus R. and Schmidt G. A. (2019). ESD Reviews: Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing. Earth Syst. Dynam., 10, 91–105, DOI:10.5194/esd-10-91-2019, 2019.Abramowitz G., Herger N., Gutmann E., Hammerling D., Knutti R., Leduc M., Lorenz R., Pincus R. and Schmidt G. A. (2019). ESD Reviews: Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing. Earth Syst. Dynam., 10, 91–105, DOI:10.5194/esd-10-91-2019, 2019.Anisimov O.A. and Kokorev V.A. (2013). The optimal choice of hydrodynamic models to assess the impact of climate change on the cryosphere, Ice and Snow, 53(1), 83-92 (in Russian with English summary), DOI: 10.15356/2076-6734-2013-1-83-92Anisimov O.A. and Kokorev V.A. (2013). The optimal choice of hydrodynamic models to assess the impact of climate change on the cryosphere, Ice and Snow, 53(1), 83-92 (in Russian with English summary), DOI: 10.15356/2076-6734-2013-1-83-92ArcAtlas: Our Earth. Environmental Systems Research Institute (1996). Inc. and DATA+ All Rights Reserved.ArcAtlas: Our Earth. Environmental Systems Research Institute (1996). Inc. and DATA+ All Rights Reserved.Barabanova E.A. (2004). Comparison of reservoirs by the complex of their positive and negative impacts on the environment and economy. Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya, 2, 72–82. (In Russian with English summary).Barabanova E.A. (2004). Comparison of reservoirs by the complex of their positive and negative impacts on the environment and economy. Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya, 2, 72–82. (In Russian with English summary).Bogdanova E. G., Ilyin B. M. and Dragomilova I. V. (2002). Application of a Comprehensive Bias-Correction Model to Precipitation Measured at Russian North Pole Drifting Stations, Meteorology and Hydrology, 3, 700–713. (In Russian).Bogdanova E. G., Ilyin B. M. and Dragomilova I. V. (2002). Application of a Comprehensive Bias-Correction Model to Precipitation Measured at Russian North Pole Drifting Stations, Meteorology and Hydrology, 3, 700–713. (In Russian).Bolgov M.V., Filippova I.A., Osipova N.V., Korobkina E.A. and Trubetskova M.D. (2018). Modern features of the hydrological regime of the rivers of the Volga basin, Problems of Geography, 145, 206–218. (In Russian).Bolgov M.V., Filippova I.A., Osipova N.V., Korobkina E.A. and Trubetskova M.D. (2018). Modern features of the hydrological regime of the rivers of the Volga basin, Problems of Geography, 145, 206–218. (In Russian).Dobrovolski S.G, Yushkov V.P. and Istomina M.N. (2019). Statistical Modeling of the Global River Runoff Using GCMs: Comparison with the Observational Data and Reanalysis Results // Water Resources, 46 (S2), 17–24, DOI: 10.1134/S0097807819080050Dobrovolski S.G, Yushkov V.P. and Istomina M.N. (2019). Statistical Modeling of the Global River Runoff Using GCMs: Comparison with the Observational Data and Reanalysis Results // Water Resources, 46 (S2), 17–24, DOI: 10.1134/S0097807819080050Döll P., Trautmann T., Gerten D., Müller Schmied H., Ostberg S., Saaed F. and Schleussner C.F. (2018). Risks for the global freshwater system at 1.5 °C and 2 °C global warming. Environ. Res. Lett., 13, 044038, DOI:10.1088/1748-9326/aab7.Döll P., Trautmann T., Gerten D., Müller Schmied H., Ostberg S., Saaed F. and Schleussner C.F. (2018). Risks for the global freshwater system at 1.5 °C and 2 °C global warming. Environ. Res. Lett., 13, 044038, DOI:10.1088/1748-9326/aab7.Eyring V., Bony S., Meehl G. A., Senior C. A., Stevens B., Stouffer R. J. and Taylor K. E. (2016). Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geosci. Model Dev., 9, 1937–1958, DOI: 10.5194/gmd-9-1937-2016, 2016Eyring V., Bony S., Meehl G. A., Senior C. A., Stevens B., Stouffer R. J. and Taylor K. E. (2016). Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geosci. Model Dev., 9, 1937–1958, DOI: 10.5194/gmd-9-1937-2016, 2016Fekete B.M., Vörösmarty J.O., Roads J.O. and Willmott C.J. (2004). Uncertainties in Precipitation and Their Impacts on Runoff Estimates. Journal of Climate, 17, 294–304.Fekete B.M., Vörösmarty J.O., Roads J.O. and Willmott C.J. (2004). Uncertainties in Precipitation and Their Impacts on Runoff Estimates. Journal of Climate, 17, 294–304.Frolova N.L., Magritskii D.V., Kireeva M.B., Grigor’ev V.Y., Gelfan A.N., Sazonov A.A. and Shevchenko A.I. (2022). Streamflow of the Russian rivers under current and forecasted climate changes. A review of publications. 1. Assessment of changes in the water regime of Russian rivers by observation data. Water Resour., 49(3), 333-350, DOI: 10.1134/S0097807822030046.Frolova N.L., Magritskii D.V., Kireeva M.B., Grigor’ev V.Y., Gelfan A.N., Sazonov A.A. and Shevchenko A.I. (2022). Streamflow of the Russian rivers under current and forecasted climate changes. A review of publications. 1. Assessment of changes in the water regime of Russian rivers by observation data. Water Resour., 49(3), 333-350, DOI: 10.1134/S0097807822030046.Gelaro R, McCarty W, Suárez MJ, Todling R, Molod A, Takacs L, Randles C, Darmenov A, Bosilovich MG, Reichle R, Wargan K, Coy L, Cullather R, Draper C, Akella S, Buchard V, Conaty A, da Silva A, Gu W, Kim GK, Koster R, Lucchesi R, Merkova D, Nielsen JE, Partyka G, Pawson S, Putman W, Rienecker M, Schubert SD, Sienkiewicz M, and Zhao B. (2017). The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). J Clim. 30(13),5419-5454, DOI: 10.1175/JCLI-D-16-0758.1.Gelaro R, McCarty W, Suárez MJ, Todling R, Molod A, Takacs L, Randles C, Darmenov A, Bosilovich MG, Reichle R, Wargan K, Coy L, Cullather R, Draper C, Akella S, Buchard V, Conaty A, da Silva A, Gu W, Kim GK, Koster R, Lucchesi R, Merkova D, Nielsen JE, Partyka G, Pawson S, Putman W, Rienecker M, Schubert SD, Sienkiewicz M, and Zhao B. (2017). The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). J Clim. 30(13),5419-5454, DOI: 10.1175/JCLI-D-16-0758.1.Gelfan A.N., Gusev E.M., Kalugin A.S., Krylenko I.N., Motovilov Yu.G., Nasonova O.N., Millionshchikova T.D. and Frolova N.L. (2022). Runoff of Russian Rivers under Current and Projected Climate Change: a Review 2. Climate Change Impact on the Water Regime of Russian Rivers in the XXI Century. Water Resour., 49, 351–365, DOI:10.1134/s0097807822030058Gelfan A.N., Gusev E.M., Kalugin A.S., Krylenko I.N., Motovilov Yu.G., Nasonova O.N., Millionshchikova T.D. and Frolova N.L. (2022). Runoff of Russian Rivers under Current and Projected Climate Change: a Review 2. Climate Change Impact on the Water Regime of Russian Rivers in the XXI Century. Water Resour., 49, 351–365, DOI:10.1134/s0097807822030058Georgiadi A.G., Kashutina E.A. (2016) Long-term changes in the runoff of the largest Siberian rivers. Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya, (5), 70–81, DOI: 10.15356/0373-2444-2016-5-70-81(In Russian).Georgiadi A.G., Kashutina E.A. (2016) Long-term changes in the runoff of the largest Siberian rivers. Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya, (5), 70–81, DOI: 10.15356/0373-2444-2016-5-70-81(In Russian).Georgiadi A.G. and Milyukova I.P. (2002). The scale of hydrological changes in the Volga River basin under anthropogenic warming, Meteorology and Hydrology, 2, 72–79. (In Russian).Georgiadi A.G. and Milyukova I.P. (2002). The scale of hydrological changes in the Volga River basin under anthropogenic warming, Meteorology and Hydrology, 2, 72–79. (In Russian).Georgiadi A.G. and Milyukova I.P. (2023) Peculiarities of Long-term Phases of the Increased and Decreased Don and Lena Runoff in the 19th–21st Centuries. Russ. Meteorol. Hydrol., 48, 1066–1075, DOI: 10.3103/S1068373923120075Georgiadi A.G. and Milyukova I.P. (2023) Peculiarities of Long-term Phases of the Increased and Decreased Don and Lena Runoff in the 19th–21st Centuries. Russ. Meteorol. Hydrol., 48, 1066–1075, DOI: 10.3103/S1068373923120075Georgiadi A.G., Kashutina E.A. and Milyukova I.P. (2018). Long-term Changes of Water Flow, Water Temperature and Heat Flux of the Largest Siberian Rivers. Polarforschung, 87 (2), 167–176, DOI:10.2312/polarforschung.87.2.167Georgiadi A.G., Kashutina E.A. and Milyukova I.P. (2018). Long-term Changes of Water Flow, Water Temperature and Heat Flux of the Largest Siberian Rivers. Polarforschung, 87 (2), 167–176, DOI:10.2312/polarforschung.87.2.167Georgiadi A.G., Milyukova I.P., Borodin O.O. and Barabanova E.A. (2024). Water Flow of the Largest Russian Rivers in Modern and Scenario Global Warming. Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya, 88(6), 855-866, DOI: 10.31857/S2587556624060011. (in Russian with English summary).Georgiadi A.G., Milyukova I.P., Borodin O.O. and Barabanova E.A. (2024). Water Flow of the Largest Russian Rivers in Modern and Scenario Global Warming. Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya, 88(6), 855-866, DOI: 10.31857/S2587556624060011. (in Russian with English summary).Georgiadi A.G., Koronkevich N.I., Milyukova I.P., Kashutina E.A. and Barabanova E.A. (2014). Contemporary and Scenario Changes in River Runoff in the Basins of the Largest Russian Rivers. Part 2. Basins of the Volga and Don. Moscow: Maks Press Publ. (In Russian).Georgiadi A.G., Koronkevich N.I., Milyukova I.P., Kashutina E.A. and Barabanova E.A. (2014). Contemporary and Scenario Changes in River Runoff in the Basins of the Largest Russian Rivers. Part 2. Basins of the Volga and Don. Moscow: Maks Press Publ. (In Russian).Georgievsky M.V. and Golovanov O.F. (2015). Assessment of probable changes in runoff in the Amur River basin for the period up to 2020 and 2050 based on data from atmospheric and ocean general circulation models. In: Georgievsky, V.Yu., ed., Extreme Floods in the Amur Basin: Hydrological Aspects. St. Petersburg: OOO EsPeKha Publ., 153–179. (in Russian).Georgievsky M.V. and Golovanov O.F. (2015). Assessment of probable changes in runoff in the Amur River basin for the period up to 2020 and 2050 based on data from atmospheric and ocean general circulation models. In: Georgievsky, V.Yu., ed., Extreme Floods in the Amur Basin: Hydrological Aspects. St. Petersburg: OOO EsPeKha Publ., 153–179. (in Russian).Georgievsky M.V. and Golovanov O.F. (2019). Forecasting changes in river water resources of Russian Federation based on CMIP5 runooff data. Vestnik of Saint Petersburg University. Earth Sciences, 64 (2), 206–218, DOI: 10.21638/spbu07.2019.203 (In Russian with English summary)Georgievsky M.V. and Golovanov O.F. (2019). Forecasting changes in river water resources of Russian Federation based on CMIP5 runooff data. Vestnik of Saint Petersburg University. Earth Sciences, 64 (2), 206–218, DOI: 10.21638/spbu07.2019.203 (In Russian with English summary)Georgievsky V.Yu., Yezhov A.V., Shalygin A.L., Shiklomanov I.A. and Shiklomanov A.I. (1996). Assessment of the effect of possible climate changes on hydrological regime and water resources of rivers in the former USSR, Meteorology and Hydrology, 11, 89–99. (in Russian).Georgievsky V.Yu., Yezhov A.V., Shalygin A.L., Shiklomanov I.A. and Shiklomanov A.I. (1996). Assessment of the effect of possible climate changes on hydrological regime and water resources of rivers in the former USSR, Meteorology and Hydrology, 11, 89–99. (in Russian).Georgievsky V.Yu. ed. (2021). Scientific and applied reference book: Long-term fluctuations and variability of water resources and the main characteristics of river flow in the Russian Federation. Saint-Petersburg: OOO «RIAL» Publ. (in Russian).Georgievsky V.Yu. ed. (2021). Scientific and applied reference book: Long-term fluctuations and variability of water resources and the main characteristics of river flow in the Russian Federation. Saint-Petersburg: OOO «RIAL» Publ. (in Russian).Groisman P. Ya., Easterling D. R., Quayle R. G. and Golubev V. S. (1996). Reducing biases in estimates of precipitation over the United States: Phase 3 adjustments. J. Geophys. Res., 101 (D3), 7185–7195.Groisman P. Ya., Easterling D. R., Quayle R. G. and Golubev V. S. (1996). Reducing biases in estimates of precipitation over the United States: Phase 3 adjustments. J. Geophys. Res., 101 (D3), 7185–7195.Guo H., Zhan C., Ning L., Li X., Hu S. (2022). Evaluation and comparison of CMIP6 and CMIP5 model performance in simulating the runoff. Theor. Appl. Climatol., 149, 1451–1470, DOI: 10.1007/s00704-022-04118-0Guo H., Zhan C., Ning L., Li X., Hu S. (2022). Evaluation and comparison of CMIP6 and CMIP5 model performance in simulating the runoff. Theor. Appl. Climatol., 149, 1451–1470, DOI: 10.1007/s00704-022-04118-0Gusev E.M. and Nasonova O.N. (2010). Modelirovanie teplo- i vlagoobmena poverkhnosti sushi s atmosferoi [Modeling of Heat and Moisture Exchange Between the Land Surface and the Atmosphere. Moscow: Nauka Publ. (In Russian).Gusev E.M. and Nasonova O.N. (2010). Modelirovanie teplo- i vlagoobmena poverkhnosti sushi s atmosferoi [Modeling of Heat and Moisture Exchange Between the Land Surface and the Atmosphere. Moscow: Nauka Publ. (In Russian).Haerter O.J., Hagemann S., Moseley C.and Piani C. (2011) Climate model bias correction and the role of timescales. Hydrol. Earth Syst. Sci., 15, 1065–1079.Haerter O.J., Hagemann S., Moseley C.and Piani C. (2011) Climate model bias correction and the role of timescales. Hydrol. Earth Syst. Sci., 15, 1065–1079.Harding R., Best M., Blyth E., Hagemann S., Kabat P., Tallaksen L.M., Warnaars T., Wiberg D., Weedon G.P., van Lanen H.A. I., Ludwig F. and Haddeland I. (2011) WATCH: Current knowledge of the Terrestrial global water cycle. J. Hydrometeorol., 12, 1149–1156, DOI: 10.1175/JHM–D-11–024.1Harding R., Best M., Blyth E., Hagemann S., Kabat P., Tallaksen L.M., Warnaars T., Wiberg D., Weedon G.P., van Lanen H.A. I., Ludwig F. and Haddeland I. (2011) WATCH: Current knowledge of the Terrestrial global water cycle. J. Hydrometeorol., 12, 1149–1156, DOI: 10.1175/JHM–D-11–024.1Harris I., Jones P.D., Osborna T.J. and Listera D.H. (2013). Updated high-resolution grids of monthly climatic observations – the CRU TS3.10 Dataset I. Int. J. Climatol. [published online in Wiley Online Library (wileyonlinelibrary.com)] DOI: 10.1002/joc.3711Harris I., Jones P.D., Osborna T.J. and Listera D.H. (2013). Updated high-resolution grids of monthly climatic observations – the CRU TS3.10 Dataset I. Int. J. Climatol. [published online in Wiley Online Library (wileyonlinelibrary.com)] DOI: 10.1002/joc.3711Hoseini S.M., Soltanpour M. and Zolfaghari M. R. (2024). Projected changes in precipitation and air temperature over the Volga River Basin from bias-corrected CMIP6 outputs. Numerical Methods in Civil Engineering, 8(2), 36-47, DOI: 10.61186/NMCE.2303.1034Hoseini S.M., Soltanpour M. and Zolfaghari M. R. (2024). Projected changes in precipitation and air temperature over the Volga River Basin from bias-corrected CMIP6 outputs. Numerical Methods in Civil Engineering, 8(2), 36-47, DOI: 10.61186/NMCE.2303.1034Kalinin G.P. and Milyukov P.I. (1958). Approximate Calculation of Unsteady Motion of Water Masses. Proceedings of the Central Institute of Forecasts. Issue 66. Leningrad: Gidrometeoizdat, 72 (In Russian).Kalinin G.P. and Milyukov P.I. (1958). Approximate Calculation of Unsteady Motion of Water Masses. Proceedings of the Central Institute of Forecasts. Issue 66. Leningrad: Gidrometeoizdat, 72 (In Russian).Kalnay et al. (1996). The NCEP/NCAR 40-year reanalysis project. Bull. Amer. Meteor. Soc., 77, 437–470.Kalnay et al. (1996). The NCEP/NCAR 40-year reanalysis project. Bull. Amer. Meteor. Soc., 77, 437–470.Kattsov V.M. and Govorkova V.A. (2013). Expected surface air temperature, precipitation and annual runoff changes over the territory of Russia: projections with an ensemble of global climate models (cmip5), Trudy GGO, (569), 75–97. (In Russian).Kattsov V.M. and Govorkova V.A. (2013). Expected surface air temperature, precipitation and annual runoff changes over the territory of Russia: projections with an ensemble of global climate models (cmip5), Trudy GGO, (569), 75–97. (In Russian).Kislov A.V., Evstigneev V.M., Malkhazova S.M., et al. (2008). Forecast of Climatic Resource Availability of the East European Plain in the Conditions of Warming of the 21st Century. Moscow: Max Press. (In Russian).Kislov A.V., Evstigneev V.M., Malkhazova S.M., et al. (2008). Forecast of Climatic Resource Availability of the East European Plain in the Conditions of Warming of the 21st Century. Moscow: Max Press. (In Russian).Kuzin P.S. and Babkin V.I. (1979). Geographical Regularities of the Hydrological Regime of Rivers. Leningrad: Gidrometeoizdat. (In Russian).Kuzin P.S. and Babkin V.I. (1979). Geographical Regularities of the Hydrological Regime of Rivers. Leningrad: Gidrometeoizdat. (In Russian).Lehner F., Deser C., Maher N., Marotzke J., Fischer E. M., Brunner L., Knutti R. and Hawkins E. (2020). Partitioning climate projection uncertainty with multiple large ensembles and CMIP5/6. Earth Syst. Dynam., 11, 491–508, DOI:10.5194/esd-11-491-2020, 2020.Lehner F., Deser C., Maher N., Marotzke J., Fischer E. M., Brunner L., Knutti R. and Hawkins E. (2020). Partitioning climate projection uncertainty with multiple large ensembles and CMIP5/6. Earth Syst. Dynam., 11, 491–508, DOI:10.5194/esd-11-491-2020, 2020.Menzhulin G.V., Shamshurin V.I., and Savvateev S.P. (2005). On the assessment of the accuracy of model climate change scenarios recommended by the IPCC commission for calculating the consequences of global warming. In: Modern Problems of Environmental Meteorology and Climatology. St. Petersburg: Nauka Publ., 55–85. (In Russian)Menzhulin G.V., Shamshurin V.I., and Savvateev S.P. (2005). On the assessment of the accuracy of model climate change scenarios recommended by the IPCC commission for calculating the consequences of global warming. In: Modern Problems of Environmental Meteorology and Climatology. St. Petersburg: Nauka Publ., 55–85. (In Russian)Mokhov I.I., Semenov V.A. and Khon V.K. (2003). Estimates of possible regional hydrologic regime changes in the 21st century based on global climate models, Izvestiya Rossiiskoi Akademii Nauk. Seriya Atmospheric and Oceanic Physics, (39), 130–144. (In Russian).Mokhov I.I., Semenov V.A. and Khon V.K. (2003). Estimates of possible regional hydrologic regime changes in the 21st century based on global climate models, Izvestiya Rossiiskoi Akademii Nauk. Seriya Atmospheric and Oceanic Physics, (39), 130–144. (In Russian).Motovilov Yu.G. and Gelfan A.N. (2019). Runoff Formation Models in Challengers of River Basin Hydrology. Moscow: Izdatel’stvo Rossiiskoi Akademii Nauk (In Russian)Motovilov Yu.G. and Gelfan A.N. (2019). Runoff Formation Models in Challengers of River Basin Hydrology. Moscow: Izdatel’stvo Rossiiskoi Akademii Nauk (In Russian)Muñoz Sabater J. (2019). ERA5-Land monthly averaged data from 1981 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: 10.24381/cds.68d2bb30Muñoz Sabater J. (2019). ERA5-Land monthly averaged data from 1981 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: 10.24381/cds.68d2bb30Muraveisky S.D. (1960). Rivers and Lakes, Hydrobiology, Runoff. Moscow: Geografgiz Publ. (In Russian)Muraveisky S.D. (1960). Rivers and Lakes, Hydrobiology, Runoff. Moscow: Geografgiz Publ. (In Russian)O’Neill B. C., Tebaldi C., van Vuuren D. P., Eyring V., Friedlingstein P., Hurtt G., Knutti R., Kriegler E., Lamarque J.-F., Lowe J., Meehl G. A., Moss R., Riahi K., and Sanderson B. M. (2016). The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6. Geosci. Model Dev., [online] 9, 3461–3482. Available at: https://doi.org/10.5194/gmd-9-3461-2016 [Accessed 2 Oct. 2025]O’Neill B. C., Tebaldi C., van Vuuren D. P., Eyring V., Friedlingstein P., Hurtt G., Knutti R., Kriegler E., Lamarque J.-F., Lowe J., Meehl G. A., Moss R., Riahi K., and Sanderson B. M. (2016). The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6. Geosci. Model Dev., [online] 9, 3461–3482. Available at: https://doi.org/10.5194/gmd-9-3461-2016 [Accessed 2 Oct. 2025]Sharma S. and Singh P.K. (2017). Long Term Spatiotemporal Variability in Rainfall Trends over the State of Jharkhand, India. Climate, 5, 2–18, DOI:10.3390/cli5010018.Shi X., Qin T., Nie H., Weng B. and He S. (2019). Changes in major global river discharges directed into the ocean. Int. J. Environ. Res. Public Health, 16, 1469.Sharma S. and Singh P.K. (2017). Long Term Spatiotemporal Variability in Rainfall Trends over the State of Jharkhand, India. Climate, 5, 2–18, DOI:10.3390/cli5010018.Shi X., Qin T., Nie H., Weng B. and He S. (2019). Changes in major global river discharges directed into the ocean. Int. J. Environ. Res. Public Health, 16, 1469.Shiklomanov A.I., Golovanov O., Lammers R.B., Tretjyakov M. and Yang D. (2011). Dam/Reservoir-Induced Hydrological Changes in Large Siberian Rivers. Amer. Geophys. Union, Fall Meeting 2011. Abstract C31B-06Shiklomanov A.I., Golovanov O., Lammers R.B., Tretjyakov M. and Yang D. (2011). Dam/Reservoir-Induced Hydrological Changes in Large Siberian Rivers. Amer. Geophys. Union, Fall Meeting 2011. Abstract C31B-06Shiklomanov I.A. (Ed.) (2008). Water Resources of Russia and Their Use. Saint-Petersburg: State Hydrological Institute Publ. (in Russian).Shiklomanov I.A. (Ed.) (2008). Water Resources of Russia and Their Use. Saint-Petersburg: State Hydrological Institute Publ. (in Russian).Shpakova R.N., and Wang P. (2023). Change in Perennial Runoff Fluctuations of the Rivers in South Yakutia in the Context of Global Warming. Russian Arctic, 5(1), 33-44, DOI: 10.24412/2658-4255-2023-1-33-44 (In Russian)Shpakova R.N., and Wang P. (2023). Change in Perennial Runoff Fluctuations of the Rivers in South Yakutia in the Context of Global Warming. Russian Arctic, 5(1), 33-44, DOI: 10.24412/2658-4255-2023-1-33-44 (In Russian)Yamazaki D., Ikeshima D., Sosa J., Bates P.D., Allen G.H., Pavelsky T.M. (2019). MERIT Hydro: A high-resolution global hydrography map based on latest topography datasets. Water Resources Research, 55, 5053–5073, DOI: 10.1029/2019WR024873Yamazaki D., Ikeshima D., Sosa J., Bates P.D., Allen G.H., Pavelsky T.M. (2019). MERIT Hydro: A high-resolution global hydrography map based on latest topography datasets. Water Resources Research, 55, 5053–5073, DOI: 10.1029/2019WR024873Yang D. and Kane D.L. (Еds.) (2021). Arctic Hydrology, Permafrost and Ecosystems. Cham: Springer, DOI: 10.1007/978-3-030-50930-9Yang D. and Kane D.L. (Еds.) (2021). Arctic Hydrology, Permafrost and Ecosystems. Cham: Springer, DOI: 10.1007/978-3-030-50930-9Ye B. Aisheng, Daqing Yang D., Yongjian Ding Y., Tianding Han T., Toshio Koike T. (2004). A Bias-Corrected Precipitation Climatology for China. J. Hydrometeorol., 5, 1147-1160.Ye B. Aisheng, Daqing Yang D., Yongjian Ding Y., Tianding Han T., Toshio Koike T. (2004). A Bias-Corrected Precipitation Climatology for China. J. Hydrometeorol., 5, 1147-1160.

The authors declare that there are no conflicts of interest present.