Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jari-Pekka Nousu"'
Autor:
Jari-Pekka Nousu, Giulia Mazzotti, Pertti Ala-aho, Hannu Marttila, Samuli Launiainen, Bertrand Cluzet, Mika Aurela, Pasi Kolari, Annalea Lohila, Matthieu Lafaysse
The snow cover has a major influence on the wintertime surface energy budget. Accurate simulation of the snowpack energy fluxes is difficult due to limitations in the parameterization of turbulent fluxes under stable conditions and landscape properti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aee4576f03c382c08c565e605843fa30
https://doi.org/10.5194/egusphere-egu23-13880
https://doi.org/10.5194/egusphere-egu23-13880
A large portion of boreal and alpine forests of the Northern Hemisphere hosts seasonal snowpacks over multiple months of the year. Rising temperatures and forest disturbances are causing rapid change to these environments; therefore, accurate predict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c418fc94f5380a0a5b2cf2ad6d344cef
https://doi.org/10.5194/egusphere-egu23-13878
https://doi.org/10.5194/egusphere-egu23-13878
Autor:
Jari-Pekka Nousu, Matthieu Lafaysse, Giulia Mazzotti, Pertti Ala-aho, Hannu Marttila, Bertrand Cluzet, Mika Aurela, Annalea Lohila, Pasi Kolari, Aaron Boone, Mathieu Fructus, Samuli Launiainen
Publikováno v:
eISSN
The snowpack has a major influence on the land surface energy budget. Accurate simulation of the snowpack energy budget is challenging due to e.g. vegetation and topography that complicate the radiation budget, and limitations in theoretical understa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0cb88fd66ca15f8e7948a7e4d9ce8d3
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-338/
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-338/
Autor:
Bruno Joly, Jari-Pekka Nousu, Guillaume Evin, Matthieu Vernay, Joseph Bellier, Matthieu Lafaysse
Publikováno v:
Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics, 2019, 26 (3), pp.339-357. ⟨10.5194/npg-26-339-2019⟩
Nonlinear Processes in Geophysics, European Geosciences Union (EGU), 2019, 26 (3), pp.339-357. ⟨10.5194/npg-26-339-2019⟩
Nonlinear Processes in Geophysics, Vol 26, Pp 339-357 (2019)
Nonlinear Processes in Geophysics, 2019, 26 (3), pp.339-357. ⟨10.5194/npg-26-339-2019⟩
Nonlinear Processes in Geophysics, European Geosciences Union (EGU), 2019, 26 (3), pp.339-357. ⟨10.5194/npg-26-339-2019⟩
Nonlinear Processes in Geophysics, Vol 26, Pp 339-357 (2019)
Forecasting the height of new snow (HN) is crucial for avalanche hazard forecasting, road viability, ski resort management and tourism attractiveness. Météo-France operates the PEARP-S2M probabilistic forecasting system, including 35 members of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ee3005a8aa3ec3ee6d02a8553bcf980
https://doi.org/10.5194/npg-2019-27
https://doi.org/10.5194/npg-2019-27