Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Pinja Venäläinen"'
Autor:
Kari Luojus, Jouni Pulliainen, Matias Takala, Juha Lemmetyinen, Colleen Mortimer, Chris Derksen, Lawrence Mudryk, Mikko Moisander, Mwaba Hiltunen, Tuomo Smolander, Jaakko Ikonen, Juval Cohen, Miia Salminen, Johannes Norberg, Katriina Veijola, Pinja Venäläinen
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-16 (2021)
Measurement(s) snow • snow mass • snow water equivalent Technology Type(s) satellite imaging Sample Characteristic - Environment cryosphere Sample Characteristic - Location Northern Hemisphere Machine-accessible metadata file describing the repor
Externí odkaz:
https://doaj.org/article/07446af8494c46d3b32cfb4e474fcacc
Autor:
Pinja Venäläinen, Kari Luojus, Colleen Mortimer, Juha Lemmetyinen, Jouni Pulliainen, Matias Takala, Mikko Moisander, Lina Zschenderlein
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::d30a02abb829cfbc91dfd919e6917321
https://doi.org/10.5194/tc-2022-227
https://doi.org/10.5194/tc-2022-227
Autor:
Pinja Venäläinen, Mikko Moisander, Jouni Pulliainen, Kari Luojus, Juha Lemmetyinen, Matias Takala
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::44b9e1931008d0b650d668d982812a05
https://tc.copernicus.org/articles/15/2969/2021/tc-15-2969-2021.pdf
https://tc.copernicus.org/articles/15/2969/2021/tc-15-2969-2021.pdf
Publikováno v:
Remote Sensing of Environment. 288:113476
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64a1ecae72057ba59e8962087433e67a
https://doi.org/10.1016/j.rse.2023.113476
https://doi.org/10.1016/j.rse.2023.113476
Autor:
Mikko Moisander, Pinja Venäläinen, Jouni Pulliainen, Juha Lemmetyinen, Kari Luojus, Matias Takala
Publikováno v:
IGARSS
In this paper, three versions of spatially and temporally varying snow density fields were implemented using snow survey data from Eurasia and Canada and automated snow observations from USA. Snow density fields were used to improve the baseline Glob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdd936ea3a2be7e47d7eb04f42d2854c
https://doi.org/10.1109/igarss47720.2021.9553493
https://doi.org/10.1109/igarss47720.2021.9553493
Autor:
Mwaba Hiltunen, Matias Takala, Chris Derksen, Johannes Norberg, Juha Lemmetyinen, Tuomo Smolander, Kari Luojus, Lawrence Mudryk, Jaakko Ikonen, Jouni Pulliainen, Katriina Veijola, Juval Cohen, Miia Salminen, Pinja Venäläinen, Mikko Moisander, Colleen Mortimer
Publikováno v:
Scientific Data
Scientific Data, Vol 8, Iss 1, Pp 1-16 (2021)
Scientific Data, Vol 8, Iss 1, Pp 1-16 (2021)
We describe the Northern Hemisphere terrestrial snow water equivalent (SWE) time series covering 1979–2018, containing daily, monthly and monthly bias-corrected SWE estimates. The GlobSnow v3.0 SWE dataset combines satellite-based passive microwave
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bc829ff7679d10402561774e6904da2
https://doi.org/10.1038/s41597-021-00939-2
https://doi.org/10.1038/s41597-021-00939-2
Autor:
Chris Derksen, Pinja Venäläinen, Mikko Moisander, Lawrence Mudryk, Kari Luojus, Colleen Mortimer
The European Space Agency Snow CCI+ project provides global homogenized long time series of daily snow extent and snow water equivalent (SWE). The Snow CCI SWE product is built on the Finish Meteorological Institute's GlobSnow algorithm, which combin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::342bf27885b119c66efbb9c983adc7e4
https://doi.org/10.5194/egusphere-egu21-1325
https://doi.org/10.5194/egusphere-egu21-1325