Exploring the limits of the Jenkinson–Collison weather types classification scheme: a global assessment based on various reanalyses

• Published in: Climate Dynamics
• Main Authors: Fernández de la Granja, Juan Antonio, Brands, Swen Franz, Bedía Jiménez, Joaquín, Casanueva Vicente, Ana, Fernández Fernández, Jesús (matemático)
• Other Authors: Universidad de Cantabria
• Format: Article in Journal/Newspaper
• Language: English
• Published: Springer 2023
• Subjects: Jenkinson–Collison classification; Weather types; Observational uncertainty; Transition probabilities; Greenland; Antarc*; Antarctica
• Online Access: https://hdl.handle.net/10902/29747; https://doi.org/10.1007/s00382-022-06658-7

The Jenkinson-Collison weather typing scheme (JC-WT) is an automated method used to classify regional sea-level pressure into a reduced number of typical recurrent patterns. Originally developed for the British Isles in the early 1970´s on the basis of expert knowledge, the method since then has seen many applications. Encouraged by the premise that the JC-WT approach can in principle be applied to any mid-to-high latitude region, the present study explores its global extra-tropical applicability, including the Southern Hemisphere. To this aim, JC-WT is applied at each grid-box of a global 2.5º regular grid excluding the inner tropics (± 5º band). Thereby, 6-hourly JC-WT catalogues are obtained for 5 distinct reanalyses, covering the period 1979-2005, which are then applied to explore (1) the limits of method applicability and (2) observational uncertainties inherent to the reanalysis datasets. Using evaluation criteria, such as the diversity of occurring circulation types and the frequency of unclassified situations, we extract empirically derived applicability thresholds which suggest that JC-WT can be generally used anywhere polewards of 23.5º, with some exceptions. Seasonal fluctuations compromise this finding along the equatorward limits of the domain. Furthermore, unreliable reanalysis sea-level pressure estimates in elevated areas with complex orography (such as the Tibetan Plateau, the Andes, Greenland and Antarctica) prevent the application of the method in these regions. In some other regions, the JC-WT classifications obtained from the distinct reanalyses substantially differ from each other, which may bring additional uncertainties when the method is used in model evaluation experiments. Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This paper is part of the R+D+i projects CORDyS (PID2020-116595RB-I00) and ATLAS (PID2019-111481RBI00), funded by MCIN/AEI/10.13039/501100011033. J.A.F. has received research support from grant PRE2020-094728 funded by ...