Toward a systematic evaluation of warm conveyor belts in numerical weather prediction and climate models. Part II: Verification of operational reforecasts

Warm conveyor belts (WCBs) associated with extratropical cyclones transport air from the lower troposphere into the tropopause region and contribute to upper-level ridge building and the formation of blocking anticyclones. Recent studies indicate that this constitutes an important source and magnifi...

Full description

Bibliographic Details
Published in:Journal of the Atmospheric Sciences
Main Authors: Wandel, Jan, Quinting, Julian F., Grams, Christian M.
Format: Article in Journal/Newspaper
Language:English
Published: American Meteorological Society 2021
Subjects:
Online Access:https://publikationen.bibliothek.kit.edu/1000138909
_version_ 1828670926121598976
author Wandel, Jan
Quinting, Julian F.
Grams, Christian M.
author_facet Wandel, Jan
Quinting, Julian F.
Grams, Christian M.
author_sort Wandel, Jan
collection KITopen (Karlsruhe Institute of Technologie)
container_issue 12
container_start_page 3965
container_title Journal of the Atmospheric Sciences
container_volume 78
description Warm conveyor belts (WCBs) associated with extratropical cyclones transport air from the lower troposphere into the tropopause region and contribute to upper-level ridge building and the formation of blocking anticyclones. Recent studies indicate that this constitutes an important source and magnifier of forecast uncertainty and errors in numerical weather prediction (NWP) models. However, a systematic evaluation of the representation of WCBs in NWP models has yet to be determined. Here, we employ the logistic regression models developed in Part I to identify the inflow, ascent, and outflow stages of WCBs in the European Centre for Medium-Range Weather Forecasts (ECMWF) subseasonal reforecasts for Northern Hemisphere winter in the period January 1997 to December 2017. We verify the representation of these WCB stages in terms of systematic occurrence frequency biases, forecast reliability, and forecast skill. Systematic WCB frequency biases emerge already at early lead times of around 3 days with an underestimation for the WCB outflow over the North Atlantic and eastern North Pacific of around 40% relative to climatology. Biases in the predictor variables of the logistic regression models can partially explain these biases in WCB inflow, ascent, or outflow. Despite an overconfidence in predicting high WCB probabilities, skillful WCB forecasts are on average possible up to a lead time of 8–10 days with more skill over the North Pacific compared to the North Atlantic region. Our results corroborate that the current limited forecast skill for the large-scale extratropical circulation on subseasonal time scales beyond 10 days might be tied to the representation of WCBs and associated upscale error growth.
format Article in Journal/Newspaper
genre North Atlantic
genre_facet North Atlantic
geographic Pacific
geographic_facet Pacific
id ftubkarlsruhe:oai:EVASTAR-Karlsruhe.de:1000138909
institution Open Polar
language English
op_collection_id ftubkarlsruhe
op_container_end_page 3982
op_doi https://doi.org/10.1175/JAS-D-20-0385.1
op_relation info:eu-repo/semantics/altIdentifier/wos/000757431900009
info:eu-repo/semantics/altIdentifier/doi/10.1175/JAS-D-20-0385.1
info:eu-repo/semantics/altIdentifier/issn/0022-4928
info:eu-repo/semantics/altIdentifier/issn/1520-0469
https://publikationen.bibliothek.kit.edu/1000138909
op_rights info:eu-repo/semantics/openAccess
op_source Journal of the atmospheric sciences, 78 (12), 3965–3982
ISSN: 0022-4928, 1520-0469
publishDate 2021
publisher American Meteorological Society
record_format openpolar
spelling ftubkarlsruhe:oai:EVASTAR-Karlsruhe.de:1000138909 2025-04-06T15:00:15+00:00 Toward a systematic evaluation of warm conveyor belts in numerical weather prediction and climate models. Part II: Verification of operational reforecasts Wandel, Jan Quinting, Julian F. Grams, Christian M. 2021-10-12 https://publikationen.bibliothek.kit.edu/1000138909 eng eng American Meteorological Society info:eu-repo/semantics/altIdentifier/wos/000757431900009 info:eu-repo/semantics/altIdentifier/doi/10.1175/JAS-D-20-0385.1 info:eu-repo/semantics/altIdentifier/issn/0022-4928 info:eu-repo/semantics/altIdentifier/issn/1520-0469 https://publikationen.bibliothek.kit.edu/1000138909 info:eu-repo/semantics/openAccess Journal of the atmospheric sciences, 78 (12), 3965–3982 ISSN: 0022-4928, 1520-0469 Extratropical cyclones Trajectories Forecast verification/skill ddc:550 Earth sciences info:eu-repo/classification/ddc/550 doc-type:article Text info:eu-repo/semantics/article article 2021 ftubkarlsruhe https://doi.org/10.1175/JAS-D-20-0385.1 2025-03-11T04:07:47Z Warm conveyor belts (WCBs) associated with extratropical cyclones transport air from the lower troposphere into the tropopause region and contribute to upper-level ridge building and the formation of blocking anticyclones. Recent studies indicate that this constitutes an important source and magnifier of forecast uncertainty and errors in numerical weather prediction (NWP) models. However, a systematic evaluation of the representation of WCBs in NWP models has yet to be determined. Here, we employ the logistic regression models developed in Part I to identify the inflow, ascent, and outflow stages of WCBs in the European Centre for Medium-Range Weather Forecasts (ECMWF) subseasonal reforecasts for Northern Hemisphere winter in the period January 1997 to December 2017. We verify the representation of these WCB stages in terms of systematic occurrence frequency biases, forecast reliability, and forecast skill. Systematic WCB frequency biases emerge already at early lead times of around 3 days with an underestimation for the WCB outflow over the North Atlantic and eastern North Pacific of around 40% relative to climatology. Biases in the predictor variables of the logistic regression models can partially explain these biases in WCB inflow, ascent, or outflow. Despite an overconfidence in predicting high WCB probabilities, skillful WCB forecasts are on average possible up to a lead time of 8–10 days with more skill over the North Pacific compared to the North Atlantic region. Our results corroborate that the current limited forecast skill for the large-scale extratropical circulation on subseasonal time scales beyond 10 days might be tied to the representation of WCBs and associated upscale error growth. Article in Journal/Newspaper North Atlantic KITopen (Karlsruhe Institute of Technologie) Pacific Journal of the Atmospheric Sciences 78 12 3965 3982
spellingShingle Extratropical cyclones
Trajectories
Forecast verification/skill
ddc:550
Earth sciences
info:eu-repo/classification/ddc/550
Wandel, Jan
Quinting, Julian F.
Grams, Christian M.
Toward a systematic evaluation of warm conveyor belts in numerical weather prediction and climate models. Part II: Verification of operational reforecasts
title Toward a systematic evaluation of warm conveyor belts in numerical weather prediction and climate models. Part II: Verification of operational reforecasts
title_full Toward a systematic evaluation of warm conveyor belts in numerical weather prediction and climate models. Part II: Verification of operational reforecasts
title_fullStr Toward a systematic evaluation of warm conveyor belts in numerical weather prediction and climate models. Part II: Verification of operational reforecasts
title_full_unstemmed Toward a systematic evaluation of warm conveyor belts in numerical weather prediction and climate models. Part II: Verification of operational reforecasts
title_short Toward a systematic evaluation of warm conveyor belts in numerical weather prediction and climate models. Part II: Verification of operational reforecasts
title_sort toward a systematic evaluation of warm conveyor belts in numerical weather prediction and climate models. part ii: verification of operational reforecasts
topic Extratropical cyclones
Trajectories
Forecast verification/skill
ddc:550
Earth sciences
info:eu-repo/classification/ddc/550
topic_facet Extratropical cyclones
Trajectories
Forecast verification/skill
ddc:550
Earth sciences
info:eu-repo/classification/ddc/550
url https://publikationen.bibliothek.kit.edu/1000138909