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Statistical modeling of the global river runoff using GCMs: comparison with the observational data and reanalysis’ resultsстатья Исследовательская статья
Информация о цитировании статьи получена из
Web of Science,
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 27 ноября 2019 г.
- Авторы: Dobrovolski S.G., Yushkov V.P., Istomina M.N.
- Журнал: Water Resources
- Том: 46
- Номер: S2
- Год издания: 2019
- Издательство: Maik Nauka/Interperiodica Publishing
- Местоположение издательства: Russian Federation
- Первая страница: 17
- Последняя страница: 24
- DOI: 10.1134/S0097807819080050
- Аннотация: A specific methods to assimilate the results of the "historical" experiments on the 28 climate models are proposed. The results of the analysis confirm the hypothesis on a stationary character of changes in the global river runoff during “instrumental” period (approximately 150 years). Part of the models (about one third) reproduces the non-stationary changes of the global runoff with the respect of the mean. At the same time, the number of such models indicating increased runoff is exactly equal to the number of models that indicate the decrease in runoff. Models generally reproduce well the coefficient of variation of global river runoff in comparison with the observational data, as well as a small value of the coefficient of asymmetry. The model of the Gaussian white noise is optimal for the description of the most part of the annual global river runoff time series generated by the GCMs.
- Добавил в систему: Юшков Владислав Пролетарьевич
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