2019
DOI: 10.21638/spbu07.2019.203
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Forecasting changes in river water resources of Russian Federation based on CMIP5 runoff data

Abstract: 1 Санкт-Петербургский государственный университет, Российская Федерация, 199034, Санкт-Петербург, Университетская наб., 7-9, 2 Арктический и антарктический научно-исследовательский институт, Российская Федерация, 199397, Санкт-Петербург, ул. Беринга, 38 Для цитирования: Георгиевский, М. В., Голованов, О. Ф. (2019). Прогнозные оценки изменений водных ресурсов крупнейших рек Российской Федерации на основе данных по речному стоку проекта CMIP5. Вестник Санкт-Петербургского университета. Науки о Земле, 64(2), 206-… Show more

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Cited by 7 publications
(2 citation statements)
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“…The outputs of climate models include two variables that characterise river runoff: total runoff (total runoff flux, mrro) and surface runoff (surface runoff flux, mrros). When analysing the data, it was found that the data on the mrros variable (surface runoff) are significantly underestimated, which is consistent with the data given in [6]. Therefore, the reproduction of the variable mrro (total runoff), which includes the underground component, is investigated in the work.…”
Section: Methodssupporting
confidence: 78%
See 1 more Smart Citation
“…The outputs of climate models include two variables that characterise river runoff: total runoff (total runoff flux, mrro) and surface runoff (surface runoff flux, mrros). When analysing the data, it was found that the data on the mrros variable (surface runoff) are significantly underestimated, which is consistent with the data given in [6]. Therefore, the reproduction of the variable mrro (total runoff), which includes the underground component, is investigated in the work.…”
Section: Methodssupporting
confidence: 78%
“…It is believed that AOGCMs contain simplified schemes for calculating river runoff, which do not allow adequate reproduction of runoff fluctuations. But, one cannot ignore the fact that the leading scientific centres (specialists) of world hydrometeorology are constantly improving the developed models [6]. However, an obligatory step before working with the data of global models is their preliminary testing in terms of the quality of reproduction of the characteristics of the modern climate [2,3,6,8,12,13].…”
Section: Introductionmentioning
confidence: 99%