Zobrazeno 1 - 10
of 109
pro vyhledávání: '"K. Luojus"'
Publikováno v:
The Cryosphere, Vol 17, Pp 5007-5026 (2023)
Seasonal snow cover of the Northern Hemisphere (NH) greatly influences surface energy balance; hydrological cycle; and many human activities, such as tourism and agriculture. Monitoring snow cover at a continental scale is only possible from satellit
Externí odkaz:
https://doaj.org/article/bdf6806092f44a76ad76f083b2176cba
Autor:
P. Venäläinen, K. Luojus, C. Mortimer, J. Lemmetyinen, J. Pulliainen, M. Takala, M. Moisander, L. Zschenderlein
Publikováno v:
The Cryosphere, Vol 17, Pp 719-736 (2023)
Snow water equivalent (SWE) is a valuable characteristic of snow cover, and it can be estimated using passive spaceborne radiometer measurements. The radiometer-based GlobSnow SWE retrieval methodology, which assimilates weather station snow depth ob
Externí odkaz:
https://doaj.org/article/7adfc8b98f544398b44dc317d9fc2a94
Publikováno v:
The Cryosphere, Vol 16, Pp 1007-1030 (2022)
Seasonal snow cover of the Northern Hemisphere (NH) is a major factor in the global climate system, which makes snow cover an important variable in climate models. Previously, substantial uncertainties have been reported in NH snow water equivalent (
Externí odkaz:
https://doaj.org/article/a0b822a065c54c54a2ef112b8e303d8b
Publikováno v:
The Cryosphere, Vol 15, Pp 2969-2981 (2021)
Snow water equivalent (SWE) is an important variable in describing global seasonal snow cover. Traditionally, SWE has been measured manually at snow transects or using observations from weather stations. However, these measurements have a poor spatia
Externí odkaz:
https://doaj.org/article/b6a54b73067549bd84741f4f9dc2bf1c
Publikováno v:
The Cryosphere, Vol 14, Pp 1763-1778 (2020)
We investigated the potential capability of the random forest (RF) machine learning (ML) model to estimate snow depth in this work. Four combinations composed of critical predictor variables were used to train the RF model. Then, we utilized three va
Externí odkaz:
https://doaj.org/article/01239cb620e341f093e290ab76fb50cb
Publikováno v:
The Cryosphere, Vol 14, Pp 1579-1594 (2020)
Nine gridded Northern Hemisphere snow water equivalent (SWE) products were evaluated as part of the European Space Agency (ESA) Satellite Snow Product Intercomparison and Evaluation Exercise (SnowPEx). Three categories of datasets were assessed: (1)
Externí odkaz:
https://doaj.org/article/21acacb66b4e452984aa98307233ac7d
Autor:
E. Malnes, A. Buanes, T. Nagler, G. Bippus, D. Gustafsson, C. Schiller, S. Metsämäki, J. Pulliainen, K. Luojus, H. E. Larsen, R. Solberg, A. Diamandi, A. Wiesmann
Publikováno v:
The Cryosphere, Vol 9, Iss 3, Pp 1191-1202 (2015)
CryoLand (2011–2015) is a project carried out within the 7th Framework of the European Commission aimed at developing downstream services for monitoring seasonal snow, glaciers and lake/river ice primarily based on satellite remote sensing. The ser
Externí odkaz:
https://doaj.org/article/3196ece8893a4fb5b977468fcc0cd541
Autor:
P. Räisänen, A. Luomaranta, H. Järvinen, M. Takala, K. Jylhä, O. N. Bulygina, K. Luojus, A. Riihelä, A. Laaksonen, J. Koskinen, J. Pulliainen
Publikováno v:
Geoscientific Model Development, Vol 7, Iss 6, Pp 3037-3057 (2014)
The timing of springtime end of snowmelt (snow-off date) in northern Eurasia in version 5.4 of the ECHAM5 atmospheric general circulation model (GCM) is evaluated through comparison with a snow-off date data set based on space-borne microwave rad
Externí odkaz:
https://doaj.org/article/85119fa51dc44b59aa931f7773cc9cd4
Autor:
Richard L. Thoman, Matthew L. Druckenmiller, Twila A. Moon, L. M. Andreassen, E. Baker, Thomas J. Ballinger, Logan T. Berner, Germar H. Bernhard, Uma S. Bhatt, Jarle W. Bjerke, L.N. Boisvert, Jason E. Box, B. Brettschneider, D. Burgess, Amy H. Butler, John Cappelen, Hanne H. Christiansen, B. Decharme, C. Derksen, Dmitry Divine, D. S. Drozdov, Chereque A. Elias, Howard E. Epstein, Sinead L. Farrell, Robert S. Fausto, Xavier Fettweis, Vitali E. Fioletov, Bruce C. Forbes, Gerald V. Frost, Sebastian Gerland, Scott J. Goetz, Jens-Uwe Grooß, Christian Haas, Edward Hanna, Bauer Inger Hanssen, M. M. P. D. Heijmans, Stefan Hendricks, Iolanda Ialongo, K. Isaksen, C. D. Jensen, Bjørn Johnsen, L. Kaleschke, A. L. Kholodov, Seong-Joong Kim, J. Kohler, Niels J. Korsgaard, Zachary Labe, Kaisa Lakkala, Mark J. Lara, Simon H. Lee, Bryant Loomis, B. Luks, K. Luojus, Matthew J. Macander, R. Í Magnússon, G. V. Malkova, Kenneth D. Mankoff, Gloria L. Manney, Walter N. Meier, Thomas Mote, Lawrence Mudryk, Rolf Müller, K. E. Nyland, James E. Overland, F. Pálsson, T. Park, C. L. Parker, Don Perovich, Alek Petty, Gareth K. Phoenix, J. E. Pinzon, Robert Ricker, Vladimir E. Romanovsky, S. P. Serbin, G. Sheffield, Nikolai I. Shiklomanov, Sharon L. Smith, K. M. Stafford, A. Steer, Dimitri A. Streletskiy, Tove Svendby, Marco Tedesco, L. Thomson, T. Thorsteinsson, X. Tian-Kunze, Mary-Louise Timmermans, Hans Tømmervik, Mark Tschudi, C. J. Tucker, Donald A. Walker, John E. Walsh, Muyin Wang, Melinda Webster, A. Wehrlé, Øyvind Winton, G. Wolken, K. Wood, B. Wouters, D. Yang
Publikováno v:
Bulletin of the American Meteorological Society
Bulletin of the American Meteorological Society, 2022, 103 (8), pp.S257-S306. ⟨10.1175/BAMS-D-22-0082.1⟩
Bulletin of the American Meteorological Society, 2022, 103 (8), pp.S257-S306. ⟨10.1175/BAMS-D-22-0082.1⟩
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f15ea4a5980d480dbebb71594addfef
https://hal.science/hal-03982226
https://hal.science/hal-03982226
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