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Warm conveyor belts as amplifiers of forecast uncertainty

Pickl, Moritz ORCID iD icon 1; Quinting, Julian F. ORCID iD icon 1; Grams, Christian M. 1
1 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)

Abstract:

Warm conveyor belts (WCBs) are rapidly ascending air streams associated with extratropical cyclones. WCBs exert a substantial influence on the evolution of the large-scale midlatitude flow and have previously been related to increased forecast uncertainty in case studies. This study provides a first systematic investigation of the role of WCBs for errors in medium-range ensemble forecasts in the Atlantic–European region. The study is enabled through a unique data set, allowing for a Lagrangian detection of WCBs in three years of operational ensemble forecasts from the European Centre for Medium-Range Weather Forecasts. By analysing the relationship between commonly used error metrics of variables that characterise the large-scale flow and WCBs, the study aims to shed light on the question of the extent to which WCBs act as a source of forecast errors and as an amplifier of pre-existing errors in a state-of-the-art global operational numerical weather prediction model. We show that forecasts with high WCB activity are on average characterised by an amplified Rossby-wave pattern and anticyclonic flow anomalies downstream. We find that the forecast skill is generally reduced when the WCB activity is high, and that WCB activity is particularly increased when the error growth is largest. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000161469
Veröffentlicht am 20.12.2023
Originalveröffentlichung
DOI: 10.1002/qj.4546
Scopus
Zitationen: 6
Web of Science
Zitationen: 4
Dimensions
Zitationen: 11
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 0035-9009, 1477-870X
KITopen-ID: 1000161469
HGF-Programm 12.11.34 (POF IV, LK 01) Improved predictions from weather to climate scales
Erschienen in Quarterly Journal of the Royal Meteorological Society
Verlag John Wiley and Sons
Band 149
Heft 756
Seiten 3064-3085
Projektinformation SPREADOUT (HGF, HGF IVF2016 TALENT, VH-NG-1243)
Vorab online veröffentlicht am 27.07.2023
Schlagwörter composite analysis, forecast error, forecast uncertainty, trajectory analysis, warm conveyor belts
Nachgewiesen in Dimensions
Web of Science
Scopus
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