Lagrangian detection and tracking algorithms are frequently used to study the development, distribution, and trends of extratropical cyclones. Past research shows that results from these algorithms are sensitive to both spatial and temporal resolutions of the gridded input fields, with coarser resolutions typically underestimating cyclone frequency by failing to capture weak, small, and short-lived systems. The fifth-generation atmospheric reanalysis from the European Centre for Medium-Range Weather Forecasts (ERA5) offers finer resolution, and, therefore, more precise information regarding storm locations and development than previous global reanalyses. However, our sensitivity tests show that using ERA5 sea level pressure fields at their finest-possible resolution does not necessarily lead to better cyclone detection and tracking. If a common number of nearest neighbors is used when detecting minima in sea level pressure (like past studies), finer spatial resolution leads to noisier fields that unrealistically break up multicenter cyclones. Using a common search distance instead (with more neighbors at finer resolution) resolves the issue without smoothing inputs. Doing this also makes cyclone frequency, life span, and average depth insensitive to refining spatial resolution beyond 100 km. Results using 6- and 3-h temporal resolutions have only minor differences, but using 1-h temporal resolution with a maximum allowed propagation speed of 150 km h−1 leads to unrealistic track splitting. This can be counteracted by increasing the maximum propagation speed, but modest sensitivity to temporal resolution persists for several cyclone characteristics. Therefore, we recommend caution if applying existing algorithms to temporal resolutions finer than 3 h and careful evaluation of algorithm settings.

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Champ Valeur
Titre Sensitivity of Northern Hemisphere Cyclone Detection and Tracking Results to Fine Spatial and Temporal Resolution Using ERA5
Publication general type journal article
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Theme Atmosphere
Version 1.0
Publisher Monthly Weather Review
Date Published 2021
DOI 10.1175/MWR-D-20-0417.1
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Champ Valeur
Authors
Authors 1
Author Name
Crawford, Alex D
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Personal
e-mail
alex.crawford@umanitoba.ca
Affiliation
Clayton H. Riddell Faculty of Environment, Earth, and Resources - University of Manitoba
ORCID ID
0000-0003-1561-290X
Authors 2
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Schreiber, Erika A P
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Authors 3
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Sommer, Nathan
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Authors 4
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Serreze, Mark C
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Stroeve, Julienne C
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Barber, David G
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Personal
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Champ Valeur
License Name Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
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Licence Schema Name SPDX
Licence URL https://spdx.org/licenses
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