2017
DOI: 10.1175/bams-d-15-00299.1
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Global Climatologies of Eulerian and Lagrangian Flow Features based on ERA-Interim

Abstract: This paper introduces a newly compiled set of feature-based climatologies identified from ERA-Interim (1979–2014). Two categories of flow features are considered: (i) Eulerian climatologies of jet streams, tropopause folds, surface fronts, cyclones and anticyclones, blocks, and potential vorticity streamers and cutoffs and (ii) Lagrangian climatologies, based on a large ensemble of air parcel trajectories, of stratosphere–troposphere exchange, warm conveyor belts, and tropical moisture exports. Monthly means o… Show more

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Cited by 170 publications
(189 citation statements)
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“…Similarly to the SLOE composites, SNA cyclone frequencies are determined for the d + and the d − groups based on the identification method of Wernli and Schwierz () slightly updated by Sprenger et al . ().…”
Section: Methodsmentioning
confidence: 97%
“…Similarly to the SLOE composites, SNA cyclone frequencies are determined for the d + and the d − groups based on the identification method of Wernli and Schwierz () slightly updated by Sprenger et al . ().…”
Section: Methodsmentioning
confidence: 97%
“…Second, if local maxima occur in close proximity to each other (distance <800 km), we keep only the largest maximum for further tracking. Third, we employ the tracking algorithm by Wernli and Schwierz () with modifications by Sprenger et al ()—originally developed for the tracking of surface cyclones—to generate tracks of the TPVs. Fourth, we retain only tracks that last for at least 72 hr and attain a VAPV anomaly of 1.5 PVU or more at least once along the track.…”
Section: Methodsmentioning
confidence: 98%
“…Further, we use an objective extratropical cyclone identification algorithm (described in detail in Wernli & Schwierz, and Sprenger et al, ), which identifies and tracks surface cyclones as closed sea level pressure contours that encompass a local sea level pressure minimum.…”
Section: Methodsmentioning
confidence: 99%