Modelling Water Balance Components of River Basins Located in Different Regions of the Globe
- Authors: Gusev E.M.1,2, Nasonova O.N.1,2, Kovalev E.E.1, Ayzel G.V.1,2
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Affiliations:
- Water Problems Institute, Russian Academy of Sciences
- Shirhov Institute of Oceanology, Russian Academy of Sciences
- Issue: Vol 45, No Suppl 2 (2018)
- Pages: 53-64
- Section: Article
- URL: https://journals.rcsi.science/0097-8078/article/view/174899
- DOI: https://doi.org/10.1134/S0097807818060246
- ID: 174899
Cite item
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.
About the authors
E. M. Gusev
Water Problems Institute, Russian Academy of Sciences; Shirhov Institute of Oceanology, Russian Academy of Sciences
Author for correspondence.
Email: sowaso@yandex.ru
Russian Federation, Moscow, 119333; Moscow, 117997
O. N. Nasonova
Water Problems Institute, Russian Academy of Sciences; Shirhov Institute of Oceanology, Russian Academy of Sciences
Email: sowaso@yandex.ru
Russian Federation, Moscow, 119333; Moscow, 117997
E. E. Kovalev
Water Problems Institute, Russian Academy of Sciences
Email: sowaso@yandex.ru
Russian Federation, Moscow, 119333
G. V. Ayzel
Water Problems Institute, Russian Academy of Sciences; Shirhov Institute of Oceanology, Russian Academy of Sciences
Email: sowaso@yandex.ru
Russian Federation, Moscow, 119333; Moscow, 117997
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