- home
- Advanced Search
Filters
Access
Type
Year range
-chevron_right GO- This year
- Last 5 years
- Last 10 years
Funder
SDG [Beta]
Country
Language
Source
Research community
- Energy Research
- Energy Research
description Publicationkeyboard_double_arrow_right Article 2025Publisher:IOP Publishing Authors: Alexandre R Bevington; Brian Menounos;Abstract We analyze changes in the maximum annual transient snowline elevation (MATSL) of glaciers for two regions in western North America from 1984 to 2024 using five satellite remote sensing datasets. MATSL reached its highest elevations in 2019 (155 m above the long-term average) for Alaska (Region 1) and in 2023 (148 m) for Western Canada and USA (Region 2). The rate of MATSL rise accelerated fourfold, increasing from 2.1 ± 0.8 m a−1 in 1984–2010 (r 2 = 0.1, p < 0.01) to 8.9 ± 1.7 m a−1 in 2010–2024 (r 2 = 0.5, p < 0.01). In 2019, 91 glaciers exceeded the 95th percentile MATSL elevation, a threshold indicative of complete loss of the accumulation area, in Region 1. In Region 2, 149 glaciers exceeded this threshold in 2023. Year-to-year variability in MATSL was strongly influenced by mean summer air temperature with sensitivities of +46 m °C−1 (r 2 = 0.54) and +23 m °C−1 (r 2 = 0.30) for Regions 1 and 2, respectively. Mean spring snow water equivalent also played an important role with sensitivities of −351 mm w.e.−1 (r 2 = 0.48) and −155 mm w.e.−1 (r 2 = 0.37), respectively. Per-glacier analysis revealed that south-facing slopes experienced the largest MATSL increases. Terrain attributes, including slope, aspect, hypsometry, and elevation, enhanced MATSL prediction models compared to those using only climate variables. The pronounced rise in MATSL underscores a critical glacier melt feedback mechanism, warranting further investigation. This study highlights the utility of automated MATSL time-series mapping for regional-scale analyses and identifies key limitations and opportunities for future research.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/adc9ca&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/adc9ca&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2025Publisher:IOP Publishing Authors: Alexandre R Bevington; Brian Menounos;Abstract We analyze changes in the maximum annual transient snowline elevation (MATSL) of glaciers for two regions in western North America from 1984 to 2024 using five satellite remote sensing datasets. MATSL reached its highest elevations in 2019 (155 m above the long-term average) for Alaska (Region 1) and in 2023 (148 m) for Western Canada and USA (Region 2). The rate of MATSL rise accelerated fourfold, increasing from 2.1 ± 0.8 m a−1 in 1984–2010 (r 2 = 0.1, p < 0.01) to 8.9 ± 1.7 m a−1 in 2010–2024 (r 2 = 0.5, p < 0.01). In 2019, 91 glaciers exceeded the 95th percentile MATSL elevation, a threshold indicative of complete loss of the accumulation area, in Region 1. In Region 2, 149 glaciers exceeded this threshold in 2023. Year-to-year variability in MATSL was strongly influenced by mean summer air temperature with sensitivities of +46 m °C−1 (r 2 = 0.54) and +23 m °C−1 (r 2 = 0.30) for Regions 1 and 2, respectively. Mean spring snow water equivalent also played an important role with sensitivities of −351 mm w.e.−1 (r 2 = 0.48) and −155 mm w.e.−1 (r 2 = 0.37), respectively. Per-glacier analysis revealed that south-facing slopes experienced the largest MATSL increases. Terrain attributes, including slope, aspect, hypsometry, and elevation, enhanced MATSL prediction models compared to those using only climate variables. The pronounced rise in MATSL underscores a critical glacier melt feedback mechanism, warranting further investigation. This study highlights the utility of automated MATSL time-series mapping for regional-scale analyses and identifies key limitations and opportunities for future research.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/adc9ca&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/adc9ca&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2025Publisher:Hakai Institute Menounos, Brian; Huss, Matthias; Marshall, Shawn; Ednie, Mark; Florentine, Caitlyn; Hartl, Lea;doi: 10.21966/p6jv-pe95
Les glaciers sont des éléments essentiels du paysage montagneux, revêtant une grande valeur culturelle et touristique, et ils fournissent de l'eau fraîche et abondante à de nombreux cours d'eau d'amont à la fin de l'été et pendant les années de sécheresse. Nous rendons compte des taux de perte de masse dans l'ouest du Canada et dans les glaciers américains limitrophes. Au cours de la période 2021-2024, les glaciers des deux régions ont connu un doublement de leur taux de fonte par rapport à la décennie précédente. Les glaciers ont perdu 12 % de leur volume total en 2020 au cours de cette période de quatre ans. Les conditions qui ont favorisé une forte perte de masse comprenaient des conditions chaudes et sèches et un assombrissement de la surface de la neige et de la glace. Glaciers are essential parts of the mountain landscape, with strong cultural and tourism value, and they provide cool, plentiful water to many headwater streams during late summer and years of drought. We report on rates of mass loss for western Canada and the conterminous US glaciers. Over the period 2021-2024, glaciers in both regions experienced a doubling of melt rates compared to the previous decade. Glaciers lost 12% of their total 2020 volume over this four-year period. Conditions that favored strong mass loss included warm dry conditions and surface darkening of snow and ice.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21966/p6jv-pe95&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21966/p6jv-pe95&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2025Publisher:Hakai Institute Menounos, Brian; Huss, Matthias; Marshall, Shawn; Ednie, Mark; Florentine, Caitlyn; Hartl, Lea;doi: 10.21966/p6jv-pe95
Les glaciers sont des éléments essentiels du paysage montagneux, revêtant une grande valeur culturelle et touristique, et ils fournissent de l'eau fraîche et abondante à de nombreux cours d'eau d'amont à la fin de l'été et pendant les années de sécheresse. Nous rendons compte des taux de perte de masse dans l'ouest du Canada et dans les glaciers américains limitrophes. Au cours de la période 2021-2024, les glaciers des deux régions ont connu un doublement de leur taux de fonte par rapport à la décennie précédente. Les glaciers ont perdu 12 % de leur volume total en 2020 au cours de cette période de quatre ans. Les conditions qui ont favorisé une forte perte de masse comprenaient des conditions chaudes et sèches et un assombrissement de la surface de la neige et de la glace. Glaciers are essential parts of the mountain landscape, with strong cultural and tourism value, and they provide cool, plentiful water to many headwater streams during late summer and years of drought. We report on rates of mass loss for western Canada and the conterminous US glaciers. Over the period 2021-2024, glaciers in both regions experienced a doubling of melt rates compared to the previous decade. Glaciers lost 12% of their total 2020 volume over this four-year period. Conditions that favored strong mass loss included warm dry conditions and surface darkening of snow and ice.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21966/p6jv-pe95&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21966/p6jv-pe95&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:PANGAEA Funded by:SNSF | Estimation of global glac...SNSF| Estimation of global glacier mass changesBhattacharya, Atanu; Bolch, Tobias; Mukherjee, Kriti; King, Owen; Menounos, Brian; Kapitsa, Vassiliy; Neckel, Niklas; Yang, Wei; Yao, Tandong;Knowledge about the long-term response of High Mountain Asia (HMA) glaciers to climatic variations is paramount because of their important role in sustaining Asian river flow. Here. a satellite-based time series of glacier mass balance for seven climatically different regions across HMA since the 1960s were estimated by DEM differencing of multi-temporal optical data. The DEMs were corrected for planimetric and altimetric shifts using SRTM as a reference. Elevation dependent biases, present due to the tilt between two DEMs, were also estimated for each DEM using two-dimensional first order polynomial trend surfaces relative to the SRTM DEM. To remove outliers, we analyzed individual glacier elevation differences for each 100 m altitude bin. Considering the heterogeneity of the thickness change in glacierized terrain, outliers were removed by using an elevation dependent sigmoid function. Our study reveals a constant mass loss in all regions even in regions where glaciers were previously in balance with climate.
PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2021License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1594/pangaea.933924&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2021License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1594/pangaea.933924&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:PANGAEA Funded by:SNSF | Estimation of global glac...SNSF| Estimation of global glacier mass changesBhattacharya, Atanu; Bolch, Tobias; Mukherjee, Kriti; King, Owen; Menounos, Brian; Kapitsa, Vassiliy; Neckel, Niklas; Yang, Wei; Yao, Tandong;Knowledge about the long-term response of High Mountain Asia (HMA) glaciers to climatic variations is paramount because of their important role in sustaining Asian river flow. Here. a satellite-based time series of glacier mass balance for seven climatically different regions across HMA since the 1960s were estimated by DEM differencing of multi-temporal optical data. The DEMs were corrected for planimetric and altimetric shifts using SRTM as a reference. Elevation dependent biases, present due to the tilt between two DEMs, were also estimated for each DEM using two-dimensional first order polynomial trend surfaces relative to the SRTM DEM. To remove outliers, we analyzed individual glacier elevation differences for each 100 m altitude bin. Considering the heterogeneity of the thickness change in glacierized terrain, outliers were removed by using an elevation dependent sigmoid function. Our study reveals a constant mass loss in all regions even in regions where glaciers were previously in balance with climate.
PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2021License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1594/pangaea.933924&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2021License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1594/pangaea.933924&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
description Publicationkeyboard_double_arrow_right Article 2025Publisher:IOP Publishing Authors: Alexandre R Bevington; Brian Menounos;Abstract We analyze changes in the maximum annual transient snowline elevation (MATSL) of glaciers for two regions in western North America from 1984 to 2024 using five satellite remote sensing datasets. MATSL reached its highest elevations in 2019 (155 m above the long-term average) for Alaska (Region 1) and in 2023 (148 m) for Western Canada and USA (Region 2). The rate of MATSL rise accelerated fourfold, increasing from 2.1 ± 0.8 m a−1 in 1984–2010 (r 2 = 0.1, p < 0.01) to 8.9 ± 1.7 m a−1 in 2010–2024 (r 2 = 0.5, p < 0.01). In 2019, 91 glaciers exceeded the 95th percentile MATSL elevation, a threshold indicative of complete loss of the accumulation area, in Region 1. In Region 2, 149 glaciers exceeded this threshold in 2023. Year-to-year variability in MATSL was strongly influenced by mean summer air temperature with sensitivities of +46 m °C−1 (r 2 = 0.54) and +23 m °C−1 (r 2 = 0.30) for Regions 1 and 2, respectively. Mean spring snow water equivalent also played an important role with sensitivities of −351 mm w.e.−1 (r 2 = 0.48) and −155 mm w.e.−1 (r 2 = 0.37), respectively. Per-glacier analysis revealed that south-facing slopes experienced the largest MATSL increases. Terrain attributes, including slope, aspect, hypsometry, and elevation, enhanced MATSL prediction models compared to those using only climate variables. The pronounced rise in MATSL underscores a critical glacier melt feedback mechanism, warranting further investigation. This study highlights the utility of automated MATSL time-series mapping for regional-scale analyses and identifies key limitations and opportunities for future research.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/adc9ca&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/adc9ca&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2025Publisher:IOP Publishing Authors: Alexandre R Bevington; Brian Menounos;Abstract We analyze changes in the maximum annual transient snowline elevation (MATSL) of glaciers for two regions in western North America from 1984 to 2024 using five satellite remote sensing datasets. MATSL reached its highest elevations in 2019 (155 m above the long-term average) for Alaska (Region 1) and in 2023 (148 m) for Western Canada and USA (Region 2). The rate of MATSL rise accelerated fourfold, increasing from 2.1 ± 0.8 m a−1 in 1984–2010 (r 2 = 0.1, p < 0.01) to 8.9 ± 1.7 m a−1 in 2010–2024 (r 2 = 0.5, p < 0.01). In 2019, 91 glaciers exceeded the 95th percentile MATSL elevation, a threshold indicative of complete loss of the accumulation area, in Region 1. In Region 2, 149 glaciers exceeded this threshold in 2023. Year-to-year variability in MATSL was strongly influenced by mean summer air temperature with sensitivities of +46 m °C−1 (r 2 = 0.54) and +23 m °C−1 (r 2 = 0.30) for Regions 1 and 2, respectively. Mean spring snow water equivalent also played an important role with sensitivities of −351 mm w.e.−1 (r 2 = 0.48) and −155 mm w.e.−1 (r 2 = 0.37), respectively. Per-glacier analysis revealed that south-facing slopes experienced the largest MATSL increases. Terrain attributes, including slope, aspect, hypsometry, and elevation, enhanced MATSL prediction models compared to those using only climate variables. The pronounced rise in MATSL underscores a critical glacier melt feedback mechanism, warranting further investigation. This study highlights the utility of automated MATSL time-series mapping for regional-scale analyses and identifies key limitations and opportunities for future research.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/adc9ca&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/adc9ca&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2025Publisher:Hakai Institute Menounos, Brian; Huss, Matthias; Marshall, Shawn; Ednie, Mark; Florentine, Caitlyn; Hartl, Lea;doi: 10.21966/p6jv-pe95
Les glaciers sont des éléments essentiels du paysage montagneux, revêtant une grande valeur culturelle et touristique, et ils fournissent de l'eau fraîche et abondante à de nombreux cours d'eau d'amont à la fin de l'été et pendant les années de sécheresse. Nous rendons compte des taux de perte de masse dans l'ouest du Canada et dans les glaciers américains limitrophes. Au cours de la période 2021-2024, les glaciers des deux régions ont connu un doublement de leur taux de fonte par rapport à la décennie précédente. Les glaciers ont perdu 12 % de leur volume total en 2020 au cours de cette période de quatre ans. Les conditions qui ont favorisé une forte perte de masse comprenaient des conditions chaudes et sèches et un assombrissement de la surface de la neige et de la glace. Glaciers are essential parts of the mountain landscape, with strong cultural and tourism value, and they provide cool, plentiful water to many headwater streams during late summer and years of drought. We report on rates of mass loss for western Canada and the conterminous US glaciers. Over the period 2021-2024, glaciers in both regions experienced a doubling of melt rates compared to the previous decade. Glaciers lost 12% of their total 2020 volume over this four-year period. Conditions that favored strong mass loss included warm dry conditions and surface darkening of snow and ice.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21966/p6jv-pe95&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21966/p6jv-pe95&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2025Publisher:Hakai Institute Menounos, Brian; Huss, Matthias; Marshall, Shawn; Ednie, Mark; Florentine, Caitlyn; Hartl, Lea;doi: 10.21966/p6jv-pe95
Les glaciers sont des éléments essentiels du paysage montagneux, revêtant une grande valeur culturelle et touristique, et ils fournissent de l'eau fraîche et abondante à de nombreux cours d'eau d'amont à la fin de l'été et pendant les années de sécheresse. Nous rendons compte des taux de perte de masse dans l'ouest du Canada et dans les glaciers américains limitrophes. Au cours de la période 2021-2024, les glaciers des deux régions ont connu un doublement de leur taux de fonte par rapport à la décennie précédente. Les glaciers ont perdu 12 % de leur volume total en 2020 au cours de cette période de quatre ans. Les conditions qui ont favorisé une forte perte de masse comprenaient des conditions chaudes et sèches et un assombrissement de la surface de la neige et de la glace. Glaciers are essential parts of the mountain landscape, with strong cultural and tourism value, and they provide cool, plentiful water to many headwater streams during late summer and years of drought. We report on rates of mass loss for western Canada and the conterminous US glaciers. Over the period 2021-2024, glaciers in both regions experienced a doubling of melt rates compared to the previous decade. Glaciers lost 12% of their total 2020 volume over this four-year period. Conditions that favored strong mass loss included warm dry conditions and surface darkening of snow and ice.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21966/p6jv-pe95&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21966/p6jv-pe95&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:PANGAEA Funded by:SNSF | Estimation of global glac...SNSF| Estimation of global glacier mass changesBhattacharya, Atanu; Bolch, Tobias; Mukherjee, Kriti; King, Owen; Menounos, Brian; Kapitsa, Vassiliy; Neckel, Niklas; Yang, Wei; Yao, Tandong;Knowledge about the long-term response of High Mountain Asia (HMA) glaciers to climatic variations is paramount because of their important role in sustaining Asian river flow. Here. a satellite-based time series of glacier mass balance for seven climatically different regions across HMA since the 1960s were estimated by DEM differencing of multi-temporal optical data. The DEMs were corrected for planimetric and altimetric shifts using SRTM as a reference. Elevation dependent biases, present due to the tilt between two DEMs, were also estimated for each DEM using two-dimensional first order polynomial trend surfaces relative to the SRTM DEM. To remove outliers, we analyzed individual glacier elevation differences for each 100 m altitude bin. Considering the heterogeneity of the thickness change in glacierized terrain, outliers were removed by using an elevation dependent sigmoid function. Our study reveals a constant mass loss in all regions even in regions where glaciers were previously in balance with climate.
PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2021License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1594/pangaea.933924&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2021License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1594/pangaea.933924&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:PANGAEA Funded by:SNSF | Estimation of global glac...SNSF| Estimation of global glacier mass changesBhattacharya, Atanu; Bolch, Tobias; Mukherjee, Kriti; King, Owen; Menounos, Brian; Kapitsa, Vassiliy; Neckel, Niklas; Yang, Wei; Yao, Tandong;Knowledge about the long-term response of High Mountain Asia (HMA) glaciers to climatic variations is paramount because of their important role in sustaining Asian river flow. Here. a satellite-based time series of glacier mass balance for seven climatically different regions across HMA since the 1960s were estimated by DEM differencing of multi-temporal optical data. The DEMs were corrected for planimetric and altimetric shifts using SRTM as a reference. Elevation dependent biases, present due to the tilt between two DEMs, were also estimated for each DEM using two-dimensional first order polynomial trend surfaces relative to the SRTM DEM. To remove outliers, we analyzed individual glacier elevation differences for each 100 m altitude bin. Considering the heterogeneity of the thickness change in glacierized terrain, outliers were removed by using an elevation dependent sigmoid function. Our study reveals a constant mass loss in all regions even in regions where glaciers were previously in balance with climate.
PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2021License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1594/pangaea.933924&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2021License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1594/pangaea.933924&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu