GlobSnow v3.0 Northern Hemisphere snow water equivalent dataset

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 radiometer data (Nimbus-7 SMMR, DMSP SSM/I and DMSP...

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Autores principales: Luojus, Kari, Pulliainen, Jouni, Takala, Matias, Lemmetyinen, Juha, Mortimer, Colleen, Derksen, Chris, Mudryk, Lawrence, Moisander, Mikko, Hiltunen, Mwaba, Smolander, Tuomo, Ikonen, Jaakko, Cohen, Juval, Salminen, Miia, Norberg, Johannes, Veijola, Katriina, Venäläinen, Pinja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249486/
https://www.ncbi.nlm.nih.gov/pubmed/34210988
http://dx.doi.org/10.1038/s41597-021-00939-2
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author Luojus, Kari
Pulliainen, Jouni
Takala, Matias
Lemmetyinen, Juha
Mortimer, Colleen
Derksen, Chris
Mudryk, Lawrence
Moisander, Mikko
Hiltunen, Mwaba
Smolander, Tuomo
Ikonen, Jaakko
Cohen, Juval
Salminen, Miia
Norberg, Johannes
Veijola, Katriina
Venäläinen, Pinja
author_facet Luojus, Kari
Pulliainen, Jouni
Takala, Matias
Lemmetyinen, Juha
Mortimer, Colleen
Derksen, Chris
Mudryk, Lawrence
Moisander, Mikko
Hiltunen, Mwaba
Smolander, Tuomo
Ikonen, Jaakko
Cohen, Juval
Salminen, Miia
Norberg, Johannes
Veijola, Katriina
Venäläinen, Pinja
author_sort Luojus, Kari
collection PubMed
description 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 radiometer data (Nimbus-7 SMMR, DMSP SSM/I and DMSP SSMIS) with ground based synoptic snow depth observations using bayesian data assimilation, incorporating the HUT Snow Emission model. The original GlobSnow SWE retrieval methodology has been further developed and is presented in its current form in this publication. The described GlobSnow v3.0 monthly bias-corrected dataset was applied to provide continental scale estimates on the annual maximum snow mass and its trend during the period 1980 to 2018.
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spelling pubmed-82494862021-07-20 GlobSnow v3.0 Northern Hemisphere snow water equivalent dataset Luojus, Kari Pulliainen, Jouni Takala, Matias Lemmetyinen, Juha Mortimer, Colleen Derksen, Chris Mudryk, Lawrence Moisander, Mikko Hiltunen, Mwaba Smolander, Tuomo Ikonen, Jaakko Cohen, Juval Salminen, Miia Norberg, Johannes Veijola, Katriina Venäläinen, Pinja Sci Data Data Descriptor 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 radiometer data (Nimbus-7 SMMR, DMSP SSM/I and DMSP SSMIS) with ground based synoptic snow depth observations using bayesian data assimilation, incorporating the HUT Snow Emission model. The original GlobSnow SWE retrieval methodology has been further developed and is presented in its current form in this publication. The described GlobSnow v3.0 monthly bias-corrected dataset was applied to provide continental scale estimates on the annual maximum snow mass and its trend during the period 1980 to 2018. Nature Publishing Group UK 2021-07-01 /pmc/articles/PMC8249486/ /pubmed/34210988 http://dx.doi.org/10.1038/s41597-021-00939-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Luojus, Kari
Pulliainen, Jouni
Takala, Matias
Lemmetyinen, Juha
Mortimer, Colleen
Derksen, Chris
Mudryk, Lawrence
Moisander, Mikko
Hiltunen, Mwaba
Smolander, Tuomo
Ikonen, Jaakko
Cohen, Juval
Salminen, Miia
Norberg, Johannes
Veijola, Katriina
Venäläinen, Pinja
GlobSnow v3.0 Northern Hemisphere snow water equivalent dataset
title GlobSnow v3.0 Northern Hemisphere snow water equivalent dataset
title_full GlobSnow v3.0 Northern Hemisphere snow water equivalent dataset
title_fullStr GlobSnow v3.0 Northern Hemisphere snow water equivalent dataset
title_full_unstemmed GlobSnow v3.0 Northern Hemisphere snow water equivalent dataset
title_short GlobSnow v3.0 Northern Hemisphere snow water equivalent dataset
title_sort globsnow v3.0 northern hemisphere snow water equivalent dataset
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249486/
https://www.ncbi.nlm.nih.gov/pubmed/34210988
http://dx.doi.org/10.1038/s41597-021-00939-2
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