Articles | Volume 15, issue 19
Research article
14 Oct 2022
Research article |  | 14 Oct 2022

Machine learning-based prediction of Alpine foehn events using GNSS troposphere products: first results for Altdorf, Switzerland

Matthias Aichinger-Rosenberger, Elmar Brockmann, Laura Crocetti, Benedikt Soja, and Gregor Moeller

Related authors

GNSS Radio Occultation Climatologies mapped by Machine Learning and Bayesian Interpolation
Endrit Shehaj, Stephen Leroy, Kerri Cahoy, Alain Geiger, Laura Crocetti, Gregor Moeller, Benedikt Soja, and Markus Rothacher
Atmos. Meas. Tech. Discuss.,,, 2023
Preprint under review for AMT
Short summary
Tropospheric water vapor: a comprehensive high-resolution data collection for the transnational Upper Rhine Graben region
Benjamin Fersch, Andreas Wagner, Bettina Kamm, Endrit Shehaj, Andreas Schenk, Peng Yuan, Alain Geiger, Gregor Moeller, Bernhard Heck, Stefan Hinz, Hansjörg Kutterer, and Harald Kunstmann
Earth Syst. Sci. Data, 14, 5287–5307,,, 2022
Short summary
Towards a compound-event-oriented climate model evaluation: a decomposition of the underlying biases in multivariate fire and heat stress hazards
Roberto Villalobos-Herrera, Emanuele Bevacqua, Andreia F. S. Ribeiro, Graeme Auld, Laura Crocetti, Bilyana Mircheva, Minh Ha, Jakob Zscheischler, and Carlo De Michele
Nat. Hazards Earth Syst. Sci., 21, 1867–1885,,, 2021
Short summary
Trends of atmospheric water vapour in Switzerland from ground-based radiometry, FTIR and GNSS data
Leonie Bernet, Elmar Brockmann, Thomas von Clarmann, Niklaus Kämpfer, Emmanuel Mahieu, Christian Mätzler, Gunter Stober, and Klemens Hocke
Atmos. Chem. Phys., 20, 11223–11244,,, 2020
Short summary
Assimilation of GNSS tomography products into the Weather Research and Forecasting model using radio occultation data assimilation operator
Natalia Hanna, Estera Trzcina, Gregor Möller, Witold Rohm, and Robert Weber
Atmos. Meas. Tech., 12, 4829–4848,,, 2019
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Higher-order calibration on WindRAD (Wind Radar) scatterometer winds
Zhen Li, Ad Stoffelen, Anton Verhoef, Zhixiong Wang, Jian Shang, and Honggang Yin
Atmos. Meas. Tech., 16, 4769–4783,,, 2023
Short summary
On the polarimetric backscatter by a still or quasi-still wind turbine
Marco Gabella, Martin Lainer, Daniel Wolfensberger, and Jacopo Grazioli
Atmos. Meas. Tech., 16, 4409–4422,,, 2023
Short summary
OH airglow observations with two identical spectrometers: benefits of increased data homogeneity in the identification of variations induced by the 11-year solar cycle, the QBO, and other factors
Carsten Schmidt, Lisa Küchelbacher, Sabine Wüst, and Michael Bittner
Atmos. Meas. Tech., 16, 4331–4356,,, 2023
Short summary
Broadband radiative quantities for the EarthCARE mission: the ACM-COM and ACM-RT products
Jason N. S. Cole, Howard W. Barker, Zhipeng Qu, Najda Villefranque, and Mark W. Shephard
Atmos. Meas. Tech., 16, 4271–4288,,, 2023
Short summary
Long-term multi-source precipitation estimation with high resolution (RainGRS Clim)
Anna Jurczyk, Katarzyna Ośródka, Jan Szturc, Magdalena Pasierb, and Agnieszka Kurcz
Atmos. Meas. Tech., 16, 4067–4079,,, 2023
Short summary

Cited articles

Aichinger-Rosenberger, M.: Usability of high-resolution GNSS-ZTD data in the AROME model, Master's thesis, University of Innsbruck, (last access: 2 September 2022), 2018. a
Baeza-Yates, R. A. and Ribeiro-Neto, B.: Modern Information Retrieval, Addison-Wesley Longman Publishing Co., Inc., USA,, 327–328, 1999. a
Barnes, L. R., Gruntfest, E. C., Hayden, M. H., Schultz, D. M., and Benight, C.: False Alarms and Close Calls: A Conceptual Model of Warning Accuracy, Weather Forecast., 22, 1140–1147,, 2007. a
Bennitt, G. V. and Jupp, A.: Operational Assimilation of GPS Zenith Total Delay Observations into the Met Office Numerical Weather Prediction Models, Mon. Weather Rev., 140, 2706–2719,, 2012. a
Bevis, M., Businger, S., Herring, T. A., Anthes, R. A., and Ware, R. H.: GPS Meteorology: Remote Sensing of Atmospheric Water Vapor Using the Global Positioning System, Geophys. Mag., 34, 359–425, 1992. a
Short summary
This study develops an innovative approach for the detection and prediction of foehn winds. The approach uses products generated from GNSS (Global Navigation Satellite Systems) in combination with machine learning-based classification algorithms to detect and predict foehn winds at Altdorf, Switzerland. Results are encouraging and comparable to similar studies using meteorological data, which might qualify the method as an additional tool for short-term foehn forecasting in the future.