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Санкт-Петербургского государственного университета

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Предварительный просмотр	Дата выпуска	Название	Автор(ы)
	мар-2021	Assessment of the accuracy of snow water equivalent calculation with the use of global numerical weather prediction models and SnoWE snowpack model (by the example of the Kama River basin)	Shikhov, Andrey N.; Churiulin, Evgenii V.; Abdullin, Rinat K.
	мар-2021	Hydro-meteorological preconditions and geomorphological consequences of extreme flood in the small river basin in the wet subtropical zone (the Tsanyk River case study, Sochi region)	Tsyplenkov, Anatoly S.; Ivanova, Nadezda N.; Botavin, Dmitry V.; Kuznetsova, Yulia S.; Golosov, Valentin N.
	мар-2021	Fractionation of polycyclic aromatic hydrocarbons at geochemical barriers	Khaustov, Aleksandr P.; Redina, Margarita M.
	мар-2021	State-of-the-art potential of the GRACE satellite mission for solving modern hydrological problems	Frolova, Natalia L.; Grigorev, Vadim Yu.; Krylenko, Inna N.; Zakharova, Elena A.
	мар-2021	Assessing the hydrological impacts of coal resource development: a case study from Australia	Post, David A.
	мар-2021	Perspectives of the development of complex interdisciplinary hydrological and geocryological research in the North-East of Russia	Makarieva, Olga M.; Nesterova, Nataliia V.; Ostashov, Andrey A.; Zemlyanskova, Anastasia A.; Tumskoy, Vladimir E.; Gagarin, Leonid A.; Ekaykin, Alexey A.; Shikhov, Andrey N.; Olenchenko, Vladimir V.; Khristoforov, Ivan I.
	мар-2021	On the relation of bottom valley-type reservoir hydrocarbon carbon flux and hydrological structure of water body	Lomova, Diana V.; Kremenetskaya, Ekaterina R.; Grechushnikova, Maria G.; Efimova, Ludmila E.; Lomov, Viktor A.
	мар-2021	Floods in Siberia: geographical and statistical analysis for the period of climate change	Kichigina, Natalia V.
	мар-2021	Stochastic hydrology: the development of the main ideas in Russia	Bolgov, Mikhail V.
	мар-2021	Deep neural networks in hydrology: the new generation of universal and efficient models	Ayzel, Georgy V.
	мар-2021	Special issue “Interdisciplinary hydrological research: modeling and forecasting”	Makarieva, Olga M.