Articles | Volume 17, issue 16
https://doi.org/10.5194/gmd-17-6137-2024
https://doi.org/10.5194/gmd-17-6137-2024
Methods for assessment of models
 | 
19 Aug 2024
Methods for assessment of models |  | 19 Aug 2024

Objective identification of meteorological fronts and climatologies from ERA-Interim and ERA5

Philip G. Sansom and Jennifer L. Catto

Data sets

ERA5 hourly data on pressure levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.bd0915c6

Model code and software

front_id: Meteorological front identification Philip G. Sansom and Jennifer L. Catto https://doi.org/10.5281/zenodo.7278067

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Short summary
Weather fronts bring a lot of rain and strong winds to many regions of the mid-latitudes. We have developed an updated method of identifying these fronts in gridded data that can be used on new datasets with small grid spacing. The method can be easily applied to different datasets due to the use of open-source software for its development and shows improvements over similar previous methods. We present an updated estimate of the average frequency of fronts over the past 40 years.