Northern Hemisphere Blended Snow Extent and Snow Mass Time Series : Séries chronologiques mixtes de l'hémisphère nord de la masse de la neige et l'étendue de la couverture neigeuse
This paper presents an analysis of observed and simulated historical snow cover extent and snow mass, along with future snow cover projections from models participating in the 6th phase of the World Climate Research Programme Coupled Model Inter-comparison Project (CMIP6). Where appropriate, the CMI...
Main Author: | |
---|---|
Format: | Dataset |
Language: | English |
Published: |
Environment and Climate Change Canada
2020
|
Subjects: | |
Online Access: | https://dx.doi.org/10.18164/cc133287-1a07-4588-b3b8-40d714edd90e https://data-donnees.ec.gc.ca/data/climate/scientificknowledge/climate-research-publication-based-data/northern-hemisphere-blended-snow-extent-and-snow-mass-time-series/ |
id |
ftdatacite:10.18164/cc133287-1a07-4588-b3b8-40d714edd90e |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.18164/cc133287-1a07-4588-b3b8-40d714edd90e 2023-05-15T16:37:56+02:00 Northern Hemisphere Blended Snow Extent and Snow Mass Time Series : Séries chronologiques mixtes de l'hémisphère nord de la masse de la neige et l'étendue de la couverture neigeuse Climate Research Division 2020 https://dx.doi.org/10.18164/cc133287-1a07-4588-b3b8-40d714edd90e https://data-donnees.ec.gc.ca/data/climate/scientificknowledge/climate-research-publication-based-data/northern-hemisphere-blended-snow-extent-and-snow-mass-time-series/ en eng Environment and Climate Change Canada Open Government Licence - Canada https://open.canada.ca/en/open-government-licence-canada ogl-canada-2.0 CMIP6 snow extent snow mass climate climatology meteorology atmosphere dataset Dataset 2020 ftdatacite https://doi.org/10.18164/cc133287-1a07-4588-b3b8-40d714edd90e 2021-11-05T12:55:41Z This paper presents an analysis of observed and simulated historical snow cover extent and snow mass, along with future snow cover projections from models participating in the 6th phase of the World Climate Research Programme Coupled Model Inter-comparison Project (CMIP6). Where appropriate, the CMIP6 output is compared to CMIP5 results in order to assess progress (or absence thereof) between successive model generations. An ensemble of six observation-based products is used to produce a new time series of historical Northern Hemisphere snow extent anomalies and trends; a subset of four of these products is used for snow mass. Trends in snow extent over 1981-2018 are negative in all months, and exceed -50 x 103 km2 during November, December, March, and May. Snow mass trends are approximately -5 Gt/year or more for all months from December to May. Overall, the CMIP6 multi-model ensemble better represents the snow extent climatology over the 1981-2014 period for all months, correcting a low bias in CMIP5. Simulated snow extent and snow mass trends over the 1981-2014 period are stronger in CMIP6 than in CMIP5, although large inter-model spread remains in the simulated trends for both variables. There is a single linear relationship between projected spring snow extent and global surface air temperature (GSAT) changes, which is valid across all scenarios. This finding suggests that Northern Hemisphere spring snow extent will decrease by about 8% relative to the 1995-2014 level per °C of GSAT increase. The sensitivity of snow to temperature forcing largely explains the absence of any climate change pathway dependency, similar to other fast response components of the cryosphere such as sea ice and near surface permafrost. Dataset Ice permafrost Sea ice DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
CMIP6 snow extent snow mass climate climatology meteorology atmosphere |
spellingShingle |
CMIP6 snow extent snow mass climate climatology meteorology atmosphere Climate Research Division Northern Hemisphere Blended Snow Extent and Snow Mass Time Series : Séries chronologiques mixtes de l'hémisphère nord de la masse de la neige et l'étendue de la couverture neigeuse |
topic_facet |
CMIP6 snow extent snow mass climate climatology meteorology atmosphere |
description |
This paper presents an analysis of observed and simulated historical snow cover extent and snow mass, along with future snow cover projections from models participating in the 6th phase of the World Climate Research Programme Coupled Model Inter-comparison Project (CMIP6). Where appropriate, the CMIP6 output is compared to CMIP5 results in order to assess progress (or absence thereof) between successive model generations. An ensemble of six observation-based products is used to produce a new time series of historical Northern Hemisphere snow extent anomalies and trends; a subset of four of these products is used for snow mass. Trends in snow extent over 1981-2018 are negative in all months, and exceed -50 x 103 km2 during November, December, March, and May. Snow mass trends are approximately -5 Gt/year or more for all months from December to May. Overall, the CMIP6 multi-model ensemble better represents the snow extent climatology over the 1981-2014 period for all months, correcting a low bias in CMIP5. Simulated snow extent and snow mass trends over the 1981-2014 period are stronger in CMIP6 than in CMIP5, although large inter-model spread remains in the simulated trends for both variables. There is a single linear relationship between projected spring snow extent and global surface air temperature (GSAT) changes, which is valid across all scenarios. This finding suggests that Northern Hemisphere spring snow extent will decrease by about 8% relative to the 1995-2014 level per °C of GSAT increase. The sensitivity of snow to temperature forcing largely explains the absence of any climate change pathway dependency, similar to other fast response components of the cryosphere such as sea ice and near surface permafrost. |
format |
Dataset |
author |
Climate Research Division |
author_facet |
Climate Research Division |
author_sort |
Climate Research Division |
title |
Northern Hemisphere Blended Snow Extent and Snow Mass Time Series : Séries chronologiques mixtes de l'hémisphère nord de la masse de la neige et l'étendue de la couverture neigeuse |
title_short |
Northern Hemisphere Blended Snow Extent and Snow Mass Time Series : Séries chronologiques mixtes de l'hémisphère nord de la masse de la neige et l'étendue de la couverture neigeuse |
title_full |
Northern Hemisphere Blended Snow Extent and Snow Mass Time Series : Séries chronologiques mixtes de l'hémisphère nord de la masse de la neige et l'étendue de la couverture neigeuse |
title_fullStr |
Northern Hemisphere Blended Snow Extent and Snow Mass Time Series : Séries chronologiques mixtes de l'hémisphère nord de la masse de la neige et l'étendue de la couverture neigeuse |
title_full_unstemmed |
Northern Hemisphere Blended Snow Extent and Snow Mass Time Series : Séries chronologiques mixtes de l'hémisphère nord de la masse de la neige et l'étendue de la couverture neigeuse |
title_sort |
northern hemisphere blended snow extent and snow mass time series : séries chronologiques mixtes de l'hémisphère nord de la masse de la neige et l'étendue de la couverture neigeuse |
publisher |
Environment and Climate Change Canada |
publishDate |
2020 |
url |
https://dx.doi.org/10.18164/cc133287-1a07-4588-b3b8-40d714edd90e https://data-donnees.ec.gc.ca/data/climate/scientificknowledge/climate-research-publication-based-data/northern-hemisphere-blended-snow-extent-and-snow-mass-time-series/ |
genre |
Ice permafrost Sea ice |
genre_facet |
Ice permafrost Sea ice |
op_rights |
Open Government Licence - Canada https://open.canada.ca/en/open-government-licence-canada ogl-canada-2.0 |
op_doi |
https://doi.org/10.18164/cc133287-1a07-4588-b3b8-40d714edd90e |
_version_ |
1766028240968744960 |