Abstract
ECOlogical Model for Applied Geophysics have been used as a sample to develop algorithms for generalizing the description and parameters of moisture exchange in physically based runoff formation models when the spatial scale of the model is changed; the algorithms are based on the use of statistical distributions and various procedures of spatial averaging of land surface parameters depending on the algorithms used to calculate individual hydrological processes. The proposed algorithms make it possible to give a physical interpretation of some aggregated effective parameters of conceptual lumped-parameter hydrological models and, in some cases, to evaluate the errors caused by the spatial averaging of heterogeneities in land surface characteristics.
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Vinogradov, Yu.B., Matematicheskoe modelirovanie protsessov formirovaniya stoka (Mathematical Simulation of Runoff Formation Processes), Leningrad: Gidrometeoizdat, 1988.
Vinogradov, Yu.B. and Vinogradova, T.A., Matematicheskoe modelirovanie v gidrologii (Mathematical Simulation in Hydrology), Moscow: Akademiya, 2010.
Gel’fan, A.N., Dinamiko-stokhasticheskoe modelirovanie formirovaniya talogo stoka (Dynamic–Stochastic Simulation of Snowmelt Water Runoff), Moscow: Nauka, 2007.
Gorokhovskii, V.M., Effektivnye parametry gidrogeologicheskikh modelei (Effective Parameters of Hydrological Models), Moscow: GIDEK, 2013.
Gusev, E.M. and Nasonova, O.N., Modelirovanie teploi vlagoobmena poverkhnosti sushi s atmosferoi (Simulation of Heat and Moisture Exchange between Land Surface and the Atmosphere), Moscow: Nauka, 2010.
Danilov-Danil’yan, V.I., Gel’fan, A.N., Motovilov, Yu.G., and Kalugin, A.S., Disastrous flood of 2013 in the Amur Basin: genesis, recurrence assessment, simulation results, Water Resour., 2014, vol. 41, no. 2, pp. 115–125.
Kuchment, L.S., Modeli protsessov formirovaniya rechnogo stoka (Models of River Runoff Formation Processes), Leningrad: Gidrometeoizdat, 1980.
Kuchment, L.S., Rechnoi stok (genezis, modelirovanie, predvychislenie) (River Runoff: Genesis, Simulation, Precomputation), Moscow: IVP RAN, 2008.
Kuchment, L.S., Demidov, V.N., and Motovilov, Yu.G., Formirovanie rechnogo stoka (fizikomatematicheskie modeli) (River Runoff Formation: Physicomathematical Models), Moscow: Nauka, 1983.
Motovilov, Yu.G., Modeling snow cover and snow melting, in Modelirovanie gidrologicheskogo tsikla rechnykh vodosborov (Simulating the Hydrological Cycle of River Drainage Basins), Moscow: RAN, 1993, pp. 9–37.
Motovilov, Yu.G., The state and perspectives of hydrological simulation of river basins in Russia based on ECOMAG complex, in Fundamental’nye problemy vody i vodnykh resursov. Materialy 3-i vseros. konf. s mezhdunar. uchastiem (Basic Problems of Water and Water Resources, Materials of 3rd All-Russia Conf. with Intern. Participation), Barnaul, 2010, pp. 530–532.
Rumyantsev, V.A., Kondrat’ev, S.A., Kapotova, N.I., and Livanova, H.A., Opyt razrabotki i primeneniya matematicheskikh modelei basseinov malykh rek (Experience in the Development and Application of Mathematical Models of Small-River Basins), Leningrad: Gidrometeoizdat, 1985.
Distributed hydrological modeling, Water Sci. Technol. Libr., Abbott, M.B., and Refsgaard, J.C., Eds., Kluwer Acad. Publ., 1996, vol. 22.
Beven, K., Changing ideas in hydrology—the case of physically-based models, J. Hydrol., 1989, vol. 105, pp. 157–172.
Bloschl, G. and Sivapalan, M., Scale issues in hydrological modeling: a review, Hydrol. Proc., 1995, vol. 9, pp. 251–290.
Gelfan, A., Semenov, V.A., Gusev, E., Motovilov, Y., Nasonova, O., Krylenko, I., and Kovalev, E., Largebasin hydrological response to climate model outputs: uncertainty caused by the internal atmospheric variability, Hydrol. Earth Syst. Sci., 2015, vol. 19, pp. 2737–2754.
Gottschalk, L., Batcharova, E., Gryning, S.-E., Lindroth, A., Melas, D., Motovilov, Yu., Frech, M., Heininheimo, M., Samuelsson, P., Grelle, A., and Persson, T., Scale aggregation—comparison of flux estimates from NOPEX, Agric. For. Meteorol., 1999, vol. 98, no. 99, pp. 103–119.
Gottschalk, L., Beldring, S., Engeland, K., Tallaksen, L., Salthun, N.R., Kolberg, S., and Motovilov, Yu., Regional/macroscale hydrological modeling: a Scandinavian experience, Hydrol. Sci. J., 2001, vol. 46, no. 6, pp. 963–982.
Motovilov, Yu.G. and Gelfan, A.N., Assessing runoff sensitivity to climate change in the Arctic basin: empirical and modelling approaches, IAHS Publ., 2013, vol. 360, pp. 105–112.
Motovilov, Yu.G., Gottschalk, L., Engeland, K., and Belokurov, A., ECOMAG—regional model of hydrological cycle. Application to the NOPEX region, Department of Geophysics. University of Oslo. Inst. Rep. Ser., 1999, no. 105.
Motovilov, Yu.G., Gottschalk, L., Engeland, K., and Rodhe, A., Validation of a distributed hydrological model against spatial observation, Agric. For. Meteor., 1999, vol. 98, pp. 257–277.
Reggiani, P. and Schellekens, J., Modelling of hydrological responses: the representative elementary watershed as an alternative blueprint for watershed modeling, Hydr. Proc., 2003, vol. 17, pp. 3785–3789.
Semenova, O. and Beven, K., Barriers to progress in distributed hydrological modeling, Hydrol. Process., 2015, vol. 29, pp. 2074–2078.
Wood, E.F., Sivapalan, M., Beven, K.J., and Band, L., Effects of spatial variability and scale with implications to hydrological modeling, J. Hydrol., 1988, vol. 102, pp. 29–47.
Motovilov, Yu.G., Simulation of soil frost depth and effect on runoff, Nordic Hydrol., 1989, vol. 20, pp. 9–24.
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Original Russian Text © Yu.G. Motovilov, 2016, published in Vodnye Resursy, 2016, Vol. 43, No. 3, pp. 243–253.
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Motovilov, Y.G. Hydrological simulation of river basins at different spatial scales: 1. Generalization and averaging algorithms. Water Resour 43, 429–437 (2016). https://doi.org/10.1134/S0097807816030118
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DOI: https://doi.org/10.1134/S0097807816030118