Articles | Volume 11, issue 9
https://doi.org/10.5194/amt-11-5181-2018
https://doi.org/10.5194/amt-11-5181-2018
Research article
 | 
12 Sep 2018
Research article |  | 12 Sep 2018

Characterisation of the melting layer variability in an Alpine valley based on polarimetric X-band radar scans

Floor van den Heuvel, Marco Gabella, Urs Germann, and Alexis Berne

Related authors

Multiple eco-regions contribute to the seasonal cycle of Antarctic aerosol size distributions
James Brean, David C. S. Beddows, Eija Asmi, Aki Virkkula, Lauriane L. J. Quéléver, Mikko Sipilä, Floortje Van Den Heuvel, Thomas Lachlan-Cope, Anna Jones, Markus Frey, Angelo Lupi, Jiyeon Park, Young Jun Yoon, Rolf Weller, Giselle L. Marincovich, Gabriela C. Mulena, Roy M. Harrison, and Manuel Dall'Osto
Atmos. Chem. Phys., 25, 1145–1162, https://doi.org/10.5194/acp-25-1145-2025,https://doi.org/10.5194/acp-25-1145-2025, 2025
Short summary
Different responses of cold-air outbreak clouds to aerosol and ice production depending on cloud temperature
Xinyi Huang, Paul R. Field, Benjamin J. Murray, Daniel P. Grosvenor, Floortje van den Heuvel, and Kenneth S. Carslaw
EGUsphere, https://doi.org/10.5194/egusphere-2024-4070,https://doi.org/10.5194/egusphere-2024-4070, 2025
Short summary
Learning about the vertical structure of radar reflectivity using hydrometeor classes and neural networks in the Swiss Alps
Floor van den Heuvel, Loris Foresti, Marco Gabella, Urs Germann, and Alexis Berne
Atmos. Meas. Tech., 13, 2481–2500, https://doi.org/10.5194/amt-13-2481-2020,https://doi.org/10.5194/amt-13-2481-2020, 2020
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Observations of tall-building wakes using a scanning Doppler lidar
Natalie E. Theeuwes, Janet F. Barlow, Antti Mannisenaho, Denise Hertwig, Ewan O'Connor, and Alan Robins
Atmos. Meas. Tech., 18, 1355–1371, https://doi.org/10.5194/amt-18-1355-2025,https://doi.org/10.5194/amt-18-1355-2025, 2025
Short summary
Mid-Atlantic nocturnal low-level jet characteristics: a machine learning analysis of radar wind profiles
Maurice Roots, John T. Sullivan, and Belay Demoz
Atmos. Meas. Tech., 18, 1269–1282, https://doi.org/10.5194/amt-18-1269-2025,https://doi.org/10.5194/amt-18-1269-2025, 2025
Short summary
Mitigating radome-induced bias in X-band weather radar polarimetric moments using an adaptive discrete Fourier transform algorithm
Padmanabhan Thiruvengadam, Guillaume Lesage, Ambinintsoa Volatiana Ramanamahefa, and Joël Van Baelen
Atmos. Meas. Tech., 18, 1185–1191, https://doi.org/10.5194/amt-18-1185-2025,https://doi.org/10.5194/amt-18-1185-2025, 2025
Short summary
GNSS-RO residual ionospheric error (RIE): a new method and assessment
Dong L. Wu, Valery A. Yudin, Kyu-Myong Kim, Mohar Chattopadhyay, Lawrence Coy, Ruth S. Lieberman, C. C. Jude H. Salinas, Jae N. Lee, Jie Gong, and Guiping Liu
Atmos. Meas. Tech., 18, 843–863, https://doi.org/10.5194/amt-18-843-2025,https://doi.org/10.5194/amt-18-843-2025, 2025
Short summary
Benchmarking KDP in rainfall: a quantitative assessment of estimation algorithms using C-band weather radar observations
Miguel Aldana, Seppo Pulkkinen, Annakaisa von Lerber, Matthew R. Kumjian, and Dmitri Moisseev
Atmos. Meas. Tech., 18, 793–816, https://doi.org/10.5194/amt-18-793-2025,https://doi.org/10.5194/amt-18-793-2025, 2025
Short summary

Cited articles

Andrieu, H. and Creutin, J. D.: Identification of Vertical Profiles of Radar Reflectivity for Hydrological Applications Using an Inverse Method, Part I: Formulation, J. Appl. Meteorol., 34, 225–239, https://doi.org/10.1175/1520-0450(1995)034<0225:IOVPOR>2.0.CO;2, 1995. a, b
Andrieu, H., Delrieu, G., and Creutin, J. D.: Identification of Vertical Profiles of Radar Reflectivity For Hydrological Applications Using on Inverse Method. Part 2: Sensitivity Analysis And Case-Study, J. Appl. Meteorol., 34, 240–259, 1995. a
Battan, L. J.: Radar observation of the atmosphere, University of Chicago Press, Chicago, USA, https://doi.org/10.1002/qj.49709942229, 1973. a
Bell, C.: Detection of the Riming Process with a Vertically Pointing Radar, PhD thesis, McGill University, Montreal, Quebec, Canada, 2000. a
Bellon, A., Lee, G., and Zawadzki, I.: Error statistics of VPR corrections in stratiform precipitation, J. Appl. Meteorol., 44, 998–1015, https://doi.org/10.1175/JAM2253.1, 2005. a
Download
Short summary
The paper aims at characterising and quantifying the spatio-temporal variability of the melting layer (ML; transition zone from solid to liquid precipitation). A method based on the Fourier transform is found to accurately describe different ML signatures. Hence, it is applied to characterise the ML variability in a relatively flat area and in an inner Alpine valley in Switzerland, where the variability at smaller spatial scales is found to be relatively more important.
Share