Extreme wet seasons – their definition and relationship with synoptic-scale weather systems

An extreme aggregation of precipitation on the seasonal timescale, leading to a so-called extreme wet season, can have substantial environmental and socio-economic impacts. This study has a twofold aim: first to identify and statistically characterize extreme wet seasons around the globe and second...

Full description

Bibliographic Details
Main Authors: Flaounas, Emmanouil, Röthlisberger, Matthias, Boettcher, Maxi, Sprenger, Michael
Format: Article in Journal/Newspaper
Language:English
Published: ETH Zurich 2021
Subjects:
Online Access:https://dx.doi.org/10.3929/ethz-b-000523856
http://hdl.handle.net/20.500.11850/523856
id ftdatacite:10.3929/ethz-b-000523856
record_format openpolar
spelling ftdatacite:10.3929/ethz-b-000523856 2023-05-15T15:19:04+02:00 Extreme wet seasons – their definition and relationship with synoptic-scale weather systems Flaounas, Emmanouil Röthlisberger, Matthias Boettcher, Maxi Sprenger, Michael 2021 application/pdf https://dx.doi.org/10.3929/ethz-b-000523856 http://hdl.handle.net/20.500.11850/523856 en eng ETH Zurich info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY article-journal Journal Article Text ScholarlyArticle 2021 ftdatacite https://doi.org/10.3929/ethz-b-000523856 2022-02-09T12:49:16Z An extreme aggregation of precipitation on the seasonal timescale, leading to a so-called extreme wet season, can have substantial environmental and socio-economic impacts. This study has a twofold aim: first to identify and statistically characterize extreme wet seasons around the globe and second to elucidate their relationship with specific weather systems. Extreme wet seasons are defined independently at every grid point of ERA-Interim reanalyses as the consecutive 90 d period with the highest accumulated precipitation in the 40-year period of 1979–2018. In most continental regions, the extreme seasons occur during the warm months of the year, especially in the midlatitudes. Nevertheless, colder periods might be also relevant, especially in coastal areas. All identified extreme seasons are statistically characterized in terms of climatological anomalies of the number of wet days and of daily extreme events. Results show that daily extremes are decisive for the occurrence of extreme wet seasons in regions of frequent precipitation, e.g., in the tropics. This is in contrast to arid regions where wet seasons may occur only due to anomalously frequent wet days. In the subtropics and more precisely within the transitional zones between arid areas and regions of frequent precipitation, both an anomalously high occurrence of daily extremes and of wet days are related to the formation of extreme wet seasons. A novel method is introduced to define the spatial extent of regions affected by a particular extreme wet season and to relate extreme seasons to four objectively identified synoptic-scale weather systems, which are known to be associated with intense precipitation: cyclones, warm conveyor belts, tropical moisture exports and breaking Rossby waves. Cyclones and warm conveyor belts contribute particularly strongly to extreme wet seasons in most regions of the globe. But interlatitudinal influences are also shown to be important: tropical moisture exports, i.e., the poleward transport of tropical moisture, can contribute to extreme wet seasons in the midlatitudes, while breaking Rossby waves, i.e., the equatorward intrusion of stratospheric air, may decisively contribute to the formation of extreme wet seasons in the tropics. Three illustrative examples provide insight into the synergetic effects of the four identified weather systems on the formation of extreme wet seasons in the midlatitudes, the Arctic and the (sub)tropics. : Weather and Climate Dynamics, 2 (1) : ISSN:2698-4016 : ISSN:2698-4008 Article in Journal/Newspaper Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
description An extreme aggregation of precipitation on the seasonal timescale, leading to a so-called extreme wet season, can have substantial environmental and socio-economic impacts. This study has a twofold aim: first to identify and statistically characterize extreme wet seasons around the globe and second to elucidate their relationship with specific weather systems. Extreme wet seasons are defined independently at every grid point of ERA-Interim reanalyses as the consecutive 90 d period with the highest accumulated precipitation in the 40-year period of 1979–2018. In most continental regions, the extreme seasons occur during the warm months of the year, especially in the midlatitudes. Nevertheless, colder periods might be also relevant, especially in coastal areas. All identified extreme seasons are statistically characterized in terms of climatological anomalies of the number of wet days and of daily extreme events. Results show that daily extremes are decisive for the occurrence of extreme wet seasons in regions of frequent precipitation, e.g., in the tropics. This is in contrast to arid regions where wet seasons may occur only due to anomalously frequent wet days. In the subtropics and more precisely within the transitional zones between arid areas and regions of frequent precipitation, both an anomalously high occurrence of daily extremes and of wet days are related to the formation of extreme wet seasons. A novel method is introduced to define the spatial extent of regions affected by a particular extreme wet season and to relate extreme seasons to four objectively identified synoptic-scale weather systems, which are known to be associated with intense precipitation: cyclones, warm conveyor belts, tropical moisture exports and breaking Rossby waves. Cyclones and warm conveyor belts contribute particularly strongly to extreme wet seasons in most regions of the globe. But interlatitudinal influences are also shown to be important: tropical moisture exports, i.e., the poleward transport of tropical moisture, can contribute to extreme wet seasons in the midlatitudes, while breaking Rossby waves, i.e., the equatorward intrusion of stratospheric air, may decisively contribute to the formation of extreme wet seasons in the tropics. Three illustrative examples provide insight into the synergetic effects of the four identified weather systems on the formation of extreme wet seasons in the midlatitudes, the Arctic and the (sub)tropics. : Weather and Climate Dynamics, 2 (1) : ISSN:2698-4016 : ISSN:2698-4008
format Article in Journal/Newspaper
author Flaounas, Emmanouil
Röthlisberger, Matthias
Boettcher, Maxi
Sprenger, Michael
spellingShingle Flaounas, Emmanouil
Röthlisberger, Matthias
Boettcher, Maxi
Sprenger, Michael
Extreme wet seasons – their definition and relationship with synoptic-scale weather systems
author_facet Flaounas, Emmanouil
Röthlisberger, Matthias
Boettcher, Maxi
Sprenger, Michael
author_sort Flaounas, Emmanouil
title Extreme wet seasons – their definition and relationship with synoptic-scale weather systems
title_short Extreme wet seasons – their definition and relationship with synoptic-scale weather systems
title_full Extreme wet seasons – their definition and relationship with synoptic-scale weather systems
title_fullStr Extreme wet seasons – their definition and relationship with synoptic-scale weather systems
title_full_unstemmed Extreme wet seasons – their definition and relationship with synoptic-scale weather systems
title_sort extreme wet seasons – their definition and relationship with synoptic-scale weather systems
publisher ETH Zurich
publishDate 2021
url https://dx.doi.org/10.3929/ethz-b-000523856
http://hdl.handle.net/20.500.11850/523856
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.3929/ethz-b-000523856
_version_ 1766349261823279104