A spatio-temporal analysis of trends in Northern Hemisphere snow-dominated area and duration, 1971–2014
Seasonal snow-cover modulates water and energy budgets across large areas of the Northern Hemisphere. Previous research, based on satellite imagery interpreted and curated by the Rutgers University Snow Laboratory, has identified significant negative and positive trends in annual snow-covered durati...
Published in: | Annals of Glaciology |
---|---|
Main Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Cambridge University Press
2017
|
Subjects: | |
Online Access: | https://doi.org/10.1017/aog.2017.47 https://doaj.org/article/cf24b11b58724166959e55df94762466 |
id |
ftdoajarticles:oai:doaj.org/article:cf24b11b58724166959e55df94762466 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:cf24b11b58724166959e55df94762466 2023-05-15T13:29:30+02:00 A spatio-temporal analysis of trends in Northern Hemisphere snow-dominated area and duration, 1971–2014 Michael I. Allchin Stephen J. Déry 2017-07-01T00:00:00Z https://doi.org/10.1017/aog.2017.47 https://doaj.org/article/cf24b11b58724166959e55df94762466 EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0260305517000477/type/journal_article https://doaj.org/toc/0260-3055 https://doaj.org/toc/1727-5644 doi:10.1017/aog.2017.47 0260-3055 1727-5644 https://doaj.org/article/cf24b11b58724166959e55df94762466 Annals of Glaciology, Vol 58, Pp 21-35 (2017) climate change remote sensing snow Meteorology. Climatology QC851-999 article 2017 ftdoajarticles https://doi.org/10.1017/aog.2017.47 2023-03-12T01:31:57Z Seasonal snow-cover modulates water and energy budgets across large areas of the Northern Hemisphere. Previous research, based on satellite imagery interpreted and curated by the Rutgers University Snow Laboratory, has identified significant negative and positive trends in annual snow-covered duration and area at hemispheric and continental scales between 1971 and 2014. This study uses the same dataset to generate more detailed descriptions of spatial variations in these trends, maps intraannual variations in sign, statistical significance and strength, and quantifies associations with latitude and elevation. It also considers the limitations and uncertainties associated with a binary classification of this type, and the implications for trend magnitudes of adopting alternatives to the conventional assumption of 100% (0%) actual fractional snow-covered area in ‘snow-covered’ (‘snow-free’) spatial units at different stages of the snow-season. This prompts adoption of alternative terminology, referring to ‘snow-dominated’ area and duration. In response to questions about the dataset's veracity raised by some prior studies, it discusses climatological factors of potential relevance in explaining spatio-temporal trend patterns, and considers how biases might possibly have been introduced as a result of extraneous influences. Article in Journal/Newspaper Annals of Glaciology Directory of Open Access Journals: DOAJ Articles Annals of Glaciology 58 75pt1 21 35 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
climate change remote sensing snow Meteorology. Climatology QC851-999 |
spellingShingle |
climate change remote sensing snow Meteorology. Climatology QC851-999 Michael I. Allchin Stephen J. Déry A spatio-temporal analysis of trends in Northern Hemisphere snow-dominated area and duration, 1971–2014 |
topic_facet |
climate change remote sensing snow Meteorology. Climatology QC851-999 |
description |
Seasonal snow-cover modulates water and energy budgets across large areas of the Northern Hemisphere. Previous research, based on satellite imagery interpreted and curated by the Rutgers University Snow Laboratory, has identified significant negative and positive trends in annual snow-covered duration and area at hemispheric and continental scales between 1971 and 2014. This study uses the same dataset to generate more detailed descriptions of spatial variations in these trends, maps intraannual variations in sign, statistical significance and strength, and quantifies associations with latitude and elevation. It also considers the limitations and uncertainties associated with a binary classification of this type, and the implications for trend magnitudes of adopting alternatives to the conventional assumption of 100% (0%) actual fractional snow-covered area in ‘snow-covered’ (‘snow-free’) spatial units at different stages of the snow-season. This prompts adoption of alternative terminology, referring to ‘snow-dominated’ area and duration. In response to questions about the dataset's veracity raised by some prior studies, it discusses climatological factors of potential relevance in explaining spatio-temporal trend patterns, and considers how biases might possibly have been introduced as a result of extraneous influences. |
format |
Article in Journal/Newspaper |
author |
Michael I. Allchin Stephen J. Déry |
author_facet |
Michael I. Allchin Stephen J. Déry |
author_sort |
Michael I. Allchin |
title |
A spatio-temporal analysis of trends in Northern Hemisphere snow-dominated area and duration, 1971–2014 |
title_short |
A spatio-temporal analysis of trends in Northern Hemisphere snow-dominated area and duration, 1971–2014 |
title_full |
A spatio-temporal analysis of trends in Northern Hemisphere snow-dominated area and duration, 1971–2014 |
title_fullStr |
A spatio-temporal analysis of trends in Northern Hemisphere snow-dominated area and duration, 1971–2014 |
title_full_unstemmed |
A spatio-temporal analysis of trends in Northern Hemisphere snow-dominated area and duration, 1971–2014 |
title_sort |
spatio-temporal analysis of trends in northern hemisphere snow-dominated area and duration, 1971–2014 |
publisher |
Cambridge University Press |
publishDate |
2017 |
url |
https://doi.org/10.1017/aog.2017.47 https://doaj.org/article/cf24b11b58724166959e55df94762466 |
genre |
Annals of Glaciology |
genre_facet |
Annals of Glaciology |
op_source |
Annals of Glaciology, Vol 58, Pp 21-35 (2017) |
op_relation |
https://www.cambridge.org/core/product/identifier/S0260305517000477/type/journal_article https://doaj.org/toc/0260-3055 https://doaj.org/toc/1727-5644 doi:10.1017/aog.2017.47 0260-3055 1727-5644 https://doaj.org/article/cf24b11b58724166959e55df94762466 |
op_doi |
https://doi.org/10.1017/aog.2017.47 |
container_title |
Annals of Glaciology |
container_volume |
58 |
container_issue |
75pt1 |
container_start_page |
21 |
op_container_end_page |
35 |
_version_ |
1766000996993990656 |