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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Published in:The Cryosphere
Main Authors: M. Schirmer, A. Winstral, T. Jonas, P. Burlando, N. Peleg
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2022
Subjects:
Online Access:https://doi.org/10.5194/tc-16-3469-2022
https://doaj.org/article/01585ef20b204854b0dedcdb63d8418d
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spelling ftdoajarticles:oai:doaj.org/article:01585ef20b204854b0dedcdb63d8418d 2023-05-15T18:32:26+02:00 Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events M. Schirmer A. Winstral T. Jonas P. Burlando N. Peleg 2022-09-01T00:00:00Z https://doi.org/10.5194/tc-16-3469-2022 https://doaj.org/article/01585ef20b204854b0dedcdb63d8418d EN eng Copernicus Publications https://tc.copernicus.org/articles/16/3469/2022/tc-16-3469-2022.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-16-3469-2022 1994-0416 1994-0424 https://doaj.org/article/01585ef20b204854b0dedcdb63d8418d The Cryosphere, Vol 16, Pp 3469-3488 (2022) Environmental sciences GE1-350 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.5194/tc-16-3469-2022 2022-12-30T23:47:56Z 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 12×12 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 Directory of Open Access Journals: DOAJ Articles Midwinter ENVELOPE(139.931,139.931,-66.690,-66.690) The Cryosphere 16 9 3469 3488
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Environmental sciences
GE1-350
Geology
QE1-996.5
spellingShingle Environmental sciences
GE1-350
Geology
QE1-996.5
M. Schirmer
A. Winstral
T. Jonas
P. Burlando
N. Peleg
Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events
topic_facet Environmental sciences
GE1-350
Geology
QE1-996.5
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 12×12 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 M. Schirmer
A. Winstral
T. Jonas
P. Burlando
N. Peleg
author_facet M. Schirmer
A. Winstral
T. Jonas
P. Burlando
N. Peleg
author_sort M. Schirmer
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 Publications
publishDate 2022
url https://doi.org/10.5194/tc-16-3469-2022
https://doaj.org/article/01585ef20b204854b0dedcdb63d8418d
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, Vol 16, Pp 3469-3488 (2022)
op_relation https://tc.copernicus.org/articles/16/3469/2022/tc-16-3469-2022.pdf
https://doaj.org/toc/1994-0416
https://doaj.org/toc/1994-0424
doi:10.5194/tc-16-3469-2022
1994-0416
1994-0424
https://doaj.org/article/01585ef20b204854b0dedcdb63d8418d
op_doi https://doi.org/10.5194/tc-16-3469-2022
container_title The Cryosphere
container_volume 16
container_issue 9
container_start_page 3469
op_container_end_page 3488
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