Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events
Climate projection studies of future changes in snow conditions and resulting rain-on-snow (ROS) flood events are subject to large uncertainties. Typically, emission scenario uncertainties and climate model uncertainties are included. This is the first study on this topic to also include quantificat...
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ftethz:oai:www.research-collection.ethz.ch:20.500.11850/569848 2023-05-15T18:32:13+02:00 Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events Schirmer, Michael Winstral, Adam Jonas, Tobias Burlando, Paolo Peleg, Nadav 2022 application/application/pdf https://hdl.handle.net/20.500.11850/569848 https://doi.org/10.3929/ethz-b-000569848 en eng Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-16-3469-2022 info:eu-repo/semantics/altIdentifier/wos/000848773600001 http://hdl.handle.net/20.500.11850/569848 doi:10.3929/ethz-b-000569848 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International CC-BY The Cryosphere, 16 (9) info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2022 ftethz https://doi.org/20.500.11850/569848 https://doi.org/10.3929/ethz-b-000569848 https://doi.org/10.5194/tc-16-3469-2022 2023-02-13T01:11:43Z Climate projection studies of future changes in snow conditions and resulting rain-on-snow (ROS) flood events are subject to large uncertainties. Typically, emission scenario uncertainties and climate model uncertainties are included. This is the first study on this topic to also include quantification of natural climate variability, which is the dominant uncertainty for precipitation at local scales with large implications for runoff projections, for example. To quantify natural climate variability, a weather generator was applied to simulate inherently consistent climate variables for multiple realizations of current and future climates at 100 m spatial and hourly temporal resolution over a 12 x 12 km high-altitude study area in the Swiss Alps. The output of the weather generator was used as input for subsequent simulations with an energy balance snow model. The climate change signal for snow water resources stands out as early as mid-century from the noise originating from the three sources of uncertainty investigated, namely uncertainty in emission scenarios, uncertainty in climate models, and natural climate variability. For ROS events, a climate change signal toward more frequent and intense events was found for an RCP 8.5 scenario at high elevations at the end of the century, consistently with other studies. However, for ROS events with a substantial contribution of snowmelt to runoff (> 20 %), the climate change signal was largely masked by sources of uncertainty. Only those ROS events where snowmelt does not play an important role during the event will occur considerably more frequently in the future, while ROS events with substantial snowmelt contribution will mainly occur earlier in the year but not more frequently. There are two reasons for this: first, although it will rain more frequently in midwinter, the snowpack will typically still be too cold and dry and thus cannot contribute significantly to runoff; second, the very rapid decline in snowpack toward early summer, when conditions typically ... Article in Journal/Newspaper The Cryosphere ETH Zürich Research Collection Midwinter ENVELOPE(139.931,139.931,-66.690,-66.690) |
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Open Polar |
collection |
ETH Zürich Research Collection |
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ftethz |
language |
English |
description |
Climate projection studies of future changes in snow conditions and resulting rain-on-snow (ROS) flood events are subject to large uncertainties. Typically, emission scenario uncertainties and climate model uncertainties are included. This is the first study on this topic to also include quantification of natural climate variability, which is the dominant uncertainty for precipitation at local scales with large implications for runoff projections, for example. To quantify natural climate variability, a weather generator was applied to simulate inherently consistent climate variables for multiple realizations of current and future climates at 100 m spatial and hourly temporal resolution over a 12 x 12 km high-altitude study area in the Swiss Alps. The output of the weather generator was used as input for subsequent simulations with an energy balance snow model. The climate change signal for snow water resources stands out as early as mid-century from the noise originating from the three sources of uncertainty investigated, namely uncertainty in emission scenarios, uncertainty in climate models, and natural climate variability. For ROS events, a climate change signal toward more frequent and intense events was found for an RCP 8.5 scenario at high elevations at the end of the century, consistently with other studies. However, for ROS events with a substantial contribution of snowmelt to runoff (> 20 %), the climate change signal was largely masked by sources of uncertainty. Only those ROS events where snowmelt does not play an important role during the event will occur considerably more frequently in the future, while ROS events with substantial snowmelt contribution will mainly occur earlier in the year but not more frequently. There are two reasons for this: first, although it will rain more frequently in midwinter, the snowpack will typically still be too cold and dry and thus cannot contribute significantly to runoff; second, the very rapid decline in snowpack toward early summer, when conditions typically ... |
format |
Article in Journal/Newspaper |
author |
Schirmer, Michael Winstral, Adam Jonas, Tobias Burlando, Paolo Peleg, Nadav |
spellingShingle |
Schirmer, Michael Winstral, Adam Jonas, Tobias Burlando, Paolo Peleg, Nadav Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events |
author_facet |
Schirmer, Michael Winstral, Adam Jonas, Tobias Burlando, Paolo Peleg, Nadav |
author_sort |
Schirmer, Michael |
title |
Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events |
title_short |
Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events |
title_full |
Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events |
title_fullStr |
Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events |
title_full_unstemmed |
Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events |
title_sort |
natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events |
publisher |
Copernicus |
publishDate |
2022 |
url |
https://hdl.handle.net/20.500.11850/569848 https://doi.org/10.3929/ethz-b-000569848 |
long_lat |
ENVELOPE(139.931,139.931,-66.690,-66.690) |
geographic |
Midwinter |
geographic_facet |
Midwinter |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_source |
The Cryosphere, 16 (9) |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-16-3469-2022 info:eu-repo/semantics/altIdentifier/wos/000848773600001 http://hdl.handle.net/20.500.11850/569848 doi:10.3929/ethz-b-000569848 |
op_rights |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/20.500.11850/569848 https://doi.org/10.3929/ethz-b-000569848 https://doi.org/10.5194/tc-16-3469-2022 |
_version_ |
1766216307597901824 |