Factors influencing subseasonal predictability of northern Eurasian cold spells

Cold-air outbreaks have significant impacts on human health, energy consumption, agriculture, and overall well-being. This study aims to evaluate the effectiveness of Subseasonal-to-Seasonal (S2S) models in predicting cold conditions over northern Eurasia, defined here as the lower tercile of weekly...

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Main Authors: Statnaia, Irina, Karpechko, Alexey
Other Authors: Ilmatieteen laitos, Finnish Meteorological Institute, orcid:0000-0003-3066-1902, orcid:0000-0003-0902-0414
Format: Article in Journal/Newspaper
Language:English
Published: John Wiley & Sons 2024
Subjects:
Online Access:http://hdl.handle.net/10138/585405
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author Statnaia, Irina
Karpechko, Alexey
author2 Ilmatieteen laitos
Finnish Meteorological Institute
orcid:0000-0003-3066-1902
orcid:0000-0003-0902-0414
author_facet Statnaia, Irina
Karpechko, Alexey
author_sort Statnaia, Irina
collection HELDA – University of Helsinki Open Repository
description Cold-air outbreaks have significant impacts on human health, energy consumption, agriculture, and overall well-being. This study aims to evaluate the effectiveness of Subseasonal-to-Seasonal (S2S) models in predicting cold conditions over northern Eurasia, defined here as the lower tercile of weekly mean 2-metre temperature anomalies. To assess the predictability of these events we use ensemble hindcasts from five prediction systems from the S2S database. Our analysis focuses on identifying the conditions under which the models confidently predict cold temperatures with a high (>0.5) probability 3–4 weeks ahead, which potentially can represent windows of forecast opportunity. We compare the group of forecasts that correctly predicted the events to the group that forecasted events that did not occur in practice (false alarms). Most of the confident forecasts of cold spells, both correct and false alarms, have cold anomalies already in the initial conditions, often in conjunction with either a negative phase of the North Atlantic Oscillation, or Scandinavian Blocking. We find that S2S models tend to overpredict cold temperatures, with false alarms occurring more likely when the forecasts are initialized during a weak polar vortex. Furthermore, most of the confident false alarms receive the signal from the stratosphere rather than following internal tropospheric dynamics. False alarms initialized during the weak polar vortex conditions are more common when the vortex is in a recovery stage and, subsequently, the downward -propagating signal is short-lived in the troposphere. The analysis of forecasts during different Madden–Julian Oscillation (MJO) phases shows that nearly half of all confident correct cold-temperature forecasts are initialized during an active MJO in phases 6–8. On the other hand, most false alarms occur during phase 3, which we suggest is due to the presence of the Scandinavian Blocking regime in the initial conditions for this phase.
format Article in Journal/Newspaper
genre Arctic
Arktinen alue
Human health
North Atlantic
North Atlantic oscillation
genre_facet Arctic
Arktinen alue
Human health
North Atlantic
North Atlantic oscillation
geographic Arctic
geographic_facet Arctic
id ftunivhelsihelda:oai:helda.helsinki.fi:10138/585405
institution Open Polar
language English
op_collection_id ftunivhelsihelda
op_relation Quarterly journal of the royal meteorological society
10.1002/qj.4744
0035-9009
1477-870X
762
150
105474
http://hdl.handle.net/10138/585405
URN:NBN:fi-fe2024090669632
op_rights CC BY 4.0
publishDate 2024
publisher John Wiley & Sons
record_format openpolar
spelling ftunivhelsihelda:oai:helda.helsinki.fi:10138/585405 2025-01-16T20:48:57+00:00 Factors influencing subseasonal predictability of northern Eurasian cold spells Statnaia, Irina Karpechko, Alexey Ilmatieteen laitos Finnish Meteorological Institute orcid:0000-0003-3066-1902 orcid:0000-0003-0902-0414 2024-09-06T09:16:32Z 2955-2975 application/pdf http://hdl.handle.net/10138/585405 en eng John Wiley & Sons Quarterly journal of the royal meteorological society 10.1002/qj.4744 0035-9009 1477-870X 762 150 105474 http://hdl.handle.net/10138/585405 URN:NBN:fi-fe2024090669632 CC BY 4.0 forecasts temperature cold well-being troposphere alarms agriculture stratosphere weather forecasting arctic region ennusteet lämpötila kylmyys hyvinvointi troposfääri hälytykset maatalous stratosfääri sääennustus arktinen alue A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä A1 Journal article (refereed), original research publishedVersion 2024 ftunivhelsihelda 2024-09-12T00:19:01Z Cold-air outbreaks have significant impacts on human health, energy consumption, agriculture, and overall well-being. This study aims to evaluate the effectiveness of Subseasonal-to-Seasonal (S2S) models in predicting cold conditions over northern Eurasia, defined here as the lower tercile of weekly mean 2-metre temperature anomalies. To assess the predictability of these events we use ensemble hindcasts from five prediction systems from the S2S database. Our analysis focuses on identifying the conditions under which the models confidently predict cold temperatures with a high (>0.5) probability 3–4 weeks ahead, which potentially can represent windows of forecast opportunity. We compare the group of forecasts that correctly predicted the events to the group that forecasted events that did not occur in practice (false alarms). Most of the confident forecasts of cold spells, both correct and false alarms, have cold anomalies already in the initial conditions, often in conjunction with either a negative phase of the North Atlantic Oscillation, or Scandinavian Blocking. We find that S2S models tend to overpredict cold temperatures, with false alarms occurring more likely when the forecasts are initialized during a weak polar vortex. Furthermore, most of the confident false alarms receive the signal from the stratosphere rather than following internal tropospheric dynamics. False alarms initialized during the weak polar vortex conditions are more common when the vortex is in a recovery stage and, subsequently, the downward -propagating signal is short-lived in the troposphere. The analysis of forecasts during different Madden–Julian Oscillation (MJO) phases shows that nearly half of all confident correct cold-temperature forecasts are initialized during an active MJO in phases 6–8. On the other hand, most false alarms occur during phase 3, which we suggest is due to the presence of the Scandinavian Blocking regime in the initial conditions for this phase. Article in Journal/Newspaper Arctic Arktinen alue Human health North Atlantic North Atlantic oscillation HELDA – University of Helsinki Open Repository Arctic
spellingShingle forecasts
temperature
cold
well-being
troposphere
alarms
agriculture
stratosphere
weather forecasting
arctic region
ennusteet
lämpötila
kylmyys
hyvinvointi
troposfääri
hälytykset
maatalous
stratosfääri
sääennustus
arktinen alue
Statnaia, Irina
Karpechko, Alexey
Factors influencing subseasonal predictability of northern Eurasian cold spells
title Factors influencing subseasonal predictability of northern Eurasian cold spells
title_full Factors influencing subseasonal predictability of northern Eurasian cold spells
title_fullStr Factors influencing subseasonal predictability of northern Eurasian cold spells
title_full_unstemmed Factors influencing subseasonal predictability of northern Eurasian cold spells
title_short Factors influencing subseasonal predictability of northern Eurasian cold spells
title_sort factors influencing subseasonal predictability of northern eurasian cold spells
topic forecasts
temperature
cold
well-being
troposphere
alarms
agriculture
stratosphere
weather forecasting
arctic region
ennusteet
lämpötila
kylmyys
hyvinvointi
troposfääri
hälytykset
maatalous
stratosfääri
sääennustus
arktinen alue
topic_facet forecasts
temperature
cold
well-being
troposphere
alarms
agriculture
stratosphere
weather forecasting
arctic region
ennusteet
lämpötila
kylmyys
hyvinvointi
troposfääri
hälytykset
maatalous
stratosfääri
sääennustus
arktinen alue
url http://hdl.handle.net/10138/585405