Articles | Volume 2, issue 4
https://doi.org/10.5194/wcd-2-1131-2021
https://doi.org/10.5194/wcd-2-1131-2021
Research article
 | 
01 Dec 2021
Research article |  | 01 Dec 2021

Dynamical drivers of Greenland blocking in climate models

Clio Michel, Erica Madonna, Clemens Spensberger, Camille Li, and Stephen Outten

Data sets

C20C+ Detection and Attribution Project, HAPPI National Energy Research Scientific Computing Center https://portal.nersc.gov/c20c/data.html

ERA Interim, Daily ECMWF https://apps.ecmwf.int/datasets/data/interim-full-daily/levtype=pl/

Model code and software

A library of diagnostics, feature detection algorithms, plotting and convenience functions for dynamic meteorology (https://git.app.uib.no/Clemens.Spensberger/dynlib) C. Spensberger https://doi.org/10.5281/zenodo.4639624

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Short summary
Climate models still struggle to correctly represent blocking frequency over the North Atlantic–European domain. This study makes use of five large ensembles of climate simulations and the ERA-Interim reanalyses to investigate the Greenland blocking frequency and one of its drivers, namely cyclonic Rossby wave breaking. We particularly try to understand the discrepancies between two specific models, out of the five, that behave differently.