Articles | Volume 3, issue 1
Weather Clim. Dynam., 3, 113–137, 2022
https://doi.org/10.5194/wcd-3-113-2022
Weather Clim. Dynam., 3, 113–137, 2022
https://doi.org/10.5194/wcd-3-113-2022
Research article
01 Feb 2022
Research article | 01 Feb 2022

Automated detection and classification of synoptic-scale fronts from atmospheric data grids

Stefan Niebler et al.

Related authors

New investigations on homogeneous ice nucleation: the effects of water activity and water saturation formulations
Manuel Baumgartner, Christian Rolf, Jens-Uwe Grooß, Julia Schneider, Tobias Schorr, Ottmar Möhler, Peter Spichtinger, and Martina Krämer
Atmos. Chem. Phys., 22, 65–91, https://doi.org/10.5194/acp-22-65-2022,https://doi.org/10.5194/acp-22-65-2022, 2022
Short summary
Model emulation to understand the joint effects of ice-nucleating particles and secondary ice production on deep convective anvil cirrus
Rachel E. Hawker, Annette K. Miltenberger, Jill S. Johnson, Jonathan M. Wilkinson, Adrian A. Hill, Ben J. Shipway, Paul R. Field, Benjamin J. Murray, and Ken S. Carslaw
Atmos. Chem. Phys., 21, 17315–17343, https://doi.org/10.5194/acp-21-17315-2021,https://doi.org/10.5194/acp-21-17315-2021, 2021
Short summary
In situ observation of new particle formation (NPF) in the tropical tropopause layer of the 2017 Asian monsoon anticyclone – Part 2: NPF inside ice clouds
Ralf Weigel, Christoph Mahnke, Manuel Baumgartner, Martina Krämer, Peter Spichtinger, Nicole Spelten, Armin Afchine, Christian Rolf, Silvia Viciani, Francesco D'Amato, Holger Tost, and Stephan Borrmann
Atmos. Chem. Phys., 21, 13455–13481, https://doi.org/10.5194/acp-21-13455-2021,https://doi.org/10.5194/acp-21-13455-2021, 2021
Short summary
The temperature dependence of ice-nucleating particle concentrations affects the radiative properties of tropical convective cloud systems
Rachel E. Hawker, Annette K. Miltenberger, Jonathan M. Wilkinson, Adrian A. Hill, Ben J. Shipway, Zhiqiang Cui, Richard J. Cotton, Ken S. Carslaw, Paul R. Field, and Benjamin J. Murray
Atmos. Chem. Phys., 21, 5439–5461, https://doi.org/10.5194/acp-21-5439-2021,https://doi.org/10.5194/acp-21-5439-2021, 2021
Short summary
Sensitivity of mixed-phase moderately deep convective clouds to parameterizations of ice formation – an ensemble perspective
Annette K. Miltenberger and Paul R. Field
Atmos. Chem. Phys., 21, 3627–3642, https://doi.org/10.5194/acp-21-3627-2021,https://doi.org/10.5194/acp-21-3627-2021, 2021
Short summary

Related subject area

Dynamical processes in midlatitudes
The role of cyclones and potential vorticity cutoffs for the occurrence of unusually long wet spells in Europe
Matthias Röthlisberger, Barbara Scherrer, Andries Jan de Vries, and Raphael Portmann
Weather Clim. Dynam., 3, 733–754, https://doi.org/10.5194/wcd-3-733-2022,https://doi.org/10.5194/wcd-3-733-2022, 2022
Short summary
Orographic resolution driving the improvements associated with horizontal resolution increase in the Northern Hemisphere winter mid-latitudes
Paolo Davini, Federico Fabiano, and Irina Sandu
Weather Clim. Dynam., 3, 535–553, https://doi.org/10.5194/wcd-3-535-2022,https://doi.org/10.5194/wcd-3-535-2022, 2022
Short summary
Quantifying climate model representation of the wintertime Euro-Atlantic circulation using geopotential-jet regimes
Joshua Dorrington, Kristian Strommen, and Federico Fabiano
Weather Clim. Dynam., 3, 505–533, https://doi.org/10.5194/wcd-3-505-2022,https://doi.org/10.5194/wcd-3-505-2022, 2022
Short summary
Circumglobal Rossby wave patterns during boreal winter highlighted by space–time spectral analysis
Jacopo Riboldi, Efi Rousi, Fabio D'Andrea, Gwendal Rivière, and François Lott
Weather Clim. Dynam., 3, 449–469, https://doi.org/10.5194/wcd-3-449-2022,https://doi.org/10.5194/wcd-3-449-2022, 2022
Short summary
How intense daily precipitation depends on temperature and the occurrence of specific weather systems – an investigation with ERA5 reanalyses in the extratropical Northern Hemisphere
Philipp Zschenderlein and Heini Wernli
Weather Clim. Dynam., 3, 391–411, https://doi.org/10.5194/wcd-3-391-2022,https://doi.org/10.5194/wcd-3-391-2022, 2022
Short summary

Cited articles

Acuna, D., Kar, A., and Fidler, S.: Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 11075–11083, 2019. a
Berry, G., Reeder, M. J., and Jakob, C.: A global climatology of atmospheric fronts, Geophys. Res. Lett., 38, L04809, https://doi.org/10.1029/2010GL046451, 2011. a, b
Biard, J. C. and Kunkel, K. E.: Automated detection of weather fronts using a deep learning neural network, Adv. Stat. Clim. Meteorol. Oceanogr., 5, 147–160, https://doi.org/10.5194/ascmo-5-147-2019, 2019. a, b, c, d, e
Bitsa, E., Flocas, H., Kouroutzoglou, J., Hatzaki, M., Rudeva, I., and Simmonds, I.: Development of a Front Identification Scheme for Compiling a Cold Front Climatology of the Mediterranean, Climate, 7, 130, https://doi.org/10.3390/cli7110130, 2019. a
Bochenek, B., Ustrnul, Z., Wypych, A., and Kubacka, D.: Machine Learning-Based Front Detection in Central Europe, Atmosphere, 12, 1312, https://doi.org/10.3390/atmos12101312, 2021. a
Download
Short summary
We use machine learning to create a network that detects and classifies four types of synoptic-scale weather fronts from ERA5 atmospheric reanalysis data. We present an application of our method, showing its use case in a scientific context. Additionally, our results show that multiple sources of training data are necessary to perform well on different regions, implying differences within those regions. Qualitative evaluation shows that the results are physically plausible.