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Modelling Water Balance Components of River Basins Located in Different Regions of the Globe

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Abstract

Three river basins—the Lena, Ganges, and Darling—were selected to study the possibility of reproducing water balance components of river basins, located in different regions of the globe under a wide variety of natural conditions, with the use of the land surface model SWAP and global data sets. Input data including meteorological forcings and land surface parameters were prepared on the basis of the WATCH and ECOCLIMAP global data sets, respectively. Long-term variations of the water balance components of the Lena, Ganges, and Darling river basins were simulated by the SWAP model. The results of simulations were compared with observations. In addition, the natural variability of river runoff caused by the weather noise of atmospheric characteristics was estimated.

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ACKNOWLEDGMENTS

The work was supported by the Russian Science Foundation, project no. 16-17-10039 (the Sections: “A priori land surface parameters,” “Results of simulating river runoff and evapotranspiration” and “Natural (sourced from weather noise) uncertainty of river runoff”) and project no. 14-17-00700 (the Sections “Schematization of the selected river basins for simulating water balance components” and “Meteorological forcing data”). The authors are grateful to the staff of the Global Runoff Data Center (D-56068 Koblenz, Germany) for providing materials on the flow of the rivers Lena, Ganges and Darling.

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Authors and Affiliations

  1. Water Problems Institute, Russian Academy of Sciences, 119333, Moscow, Russia

    E. M. Gusev, O. N. Nasonova, E. E. Kovalev & G. V. Ayzel

  2. Shirhov Institute of Oceanology, Russian Academy of Sciences, 117997, Moscow, Russia

    E. M. Gusev, O. N. Nasonova & G. V. Ayzel

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  1. E. M. Gusev
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  2. O. N. Nasonova
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  3. E. E. Kovalev
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  4. G. V. Ayzel
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Gusev, E.M., Nasonova, O.N., Kovalev, E.E. et al. Modelling Water Balance Components of River Basins Located in Different Regions of the Globe. Water Resour 45 (Suppl 2), 53–64 (2018). https://doi.org/10.1134/S0097807818060246

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