Articles | Volume 12, issue 5
https://doi.org/10.5194/gmd-12-2139-2019
https://doi.org/10.5194/gmd-12-2139-2019
Model description paper
 | 
29 May 2019
Model description paper |  | 29 May 2019

Atmospheric boundary layer dynamics from balloon soundings worldwide: CLASS4GL v1.0

Hendrik Wouters, Irina Y. Petrova, Chiel C. van Heerwaarden, Jordi Vilà-Guerau de Arellano, Adriaan J. Teuling, Vicky Meulenberg, Joseph A. Santanello, and Diego G. Miralles

Related authors

Evaluating the land-surface energy partitioning in ERA5
Brecht Martens, Dominik L. Schumacher, Hendrik Wouters, Joaquín Muñoz-Sabater, Niko E. C. Verhoest, and Diego G. Miralles
Geosci. Model Dev., 13, 4159–4181, https://doi.org/10.5194/gmd-13-4159-2020,https://doi.org/10.5194/gmd-13-4159-2020, 2020
Short summary
The Air-temperature Response to Green/blue-infrastructure Evaluation Tool (TARGET v1.0): an efficient and user-friendly model of city cooling
Ashley M. Broadbent, Andrew M. Coutts, Kerry A. Nice, Matthias Demuzere, E. Scott Krayenhoff, Nigel J. Tapper, and Hendrik Wouters
Geosci. Model Dev., 12, 785–803, https://doi.org/10.5194/gmd-12-785-2019,https://doi.org/10.5194/gmd-12-785-2019, 2019
Short summary
The efficient urban canopy dependency parametrization (SURY) v1.0 for atmospheric modelling: description and application with the COSMO-CLM model for a Belgian summer
Hendrik Wouters, Matthias Demuzere, Ulrich Blahak, Krzysztof Fortuniak, Bino Maiheu, Johan Camps, Daniël Tielemans, and Nicole P. M. van Lipzig
Geosci. Model Dev., 9, 3027–3054, https://doi.org/10.5194/gmd-9-3027-2016,https://doi.org/10.5194/gmd-9-3027-2016, 2016
Short summary

Related subject area

Atmospheric sciences
The MESSy DWARF (based on MESSy v2.55.2)
Astrid Kerkweg, Timo Kirfel, Duong H. Do, Sabine Griessbach, Patrick Jöckel, and Domenico Taraborrelli
Geosci. Model Dev., 18, 1265–1286, https://doi.org/10.5194/gmd-18-1265-2025,https://doi.org/10.5194/gmd-18-1265-2025, 2025
Short summary
An enhanced emission module for the PALM model system 23.10 with application for PM10 emission from urban domestic heating
Edward C. Chan, Ilona J. Jäkel, Basit Khan, Martijn Schaap, Timothy M. Butler, Renate Forkel, and Sabine Banzhaf
Geosci. Model Dev., 18, 1119–1139, https://doi.org/10.5194/gmd-18-1119-2025,https://doi.org/10.5194/gmd-18-1119-2025, 2025
Short summary
Identifying lightning processes in ERA5 soundings with deep learning
Gregor Ehrensperger, Thorsten Simon, Georg J. Mayr, and Tobias Hell
Geosci. Model Dev., 18, 1141–1153, https://doi.org/10.5194/gmd-18-1141-2025,https://doi.org/10.5194/gmd-18-1141-2025, 2025
Short summary
Sensitivity of predicted ultrafine particle size distributions in Europe to different nucleation rate parameterizations using PMCAMx-UF v2.2
David Patoulias, Kalliopi Florou, and Spyros N. Pandis
Geosci. Model Dev., 18, 1103–1118, https://doi.org/10.5194/gmd-18-1103-2025,https://doi.org/10.5194/gmd-18-1103-2025, 2025
Short summary
Explaining neural networks for detection of tropical cyclones and atmospheric rivers in gridded atmospheric simulation data
Tim Radke, Susanne Fuchs, Christian Wilms, Iuliia Polkova, and Marc Rautenhaus
Geosci. Model Dev., 18, 1017–1039, https://doi.org/10.5194/gmd-18-1017-2025,https://doi.org/10.5194/gmd-18-1017-2025, 2025
Short summary

Cited articles

Akkermans, T., Rompaey, A. V., Lipzig, N. V., Moonen, P., and Verbist, B.: Quantifying successional land cover after clearing of tropical rainforest along forest frontiers in the Congo Basin, Phys. Geogr., 34, 417–440, https://doi.org/10.1080/02723646.2013.855698, 2013. a
Bauer, L. A.: The Relation between “Potential Temperature” and “Entropy”, Phys. Rev., 26, 177–183, https://doi.org/10.1103/physrevseriesi.26.177, a
Berg, A., Lintner, B. R., Findell, K., Seneviratne, S. I., van den Hurk, B., Ducharne, A., Chéruy, F., Hagemann, S., Lawrence, D. M., Malyshev, S., Meier, A., and Gentine, P.: Interannual Coupling between Summertime Surface Temperature and Precipitation over Land: Processes and Implications for Climate Change, J. Climate, 28, 1308–1328, https://doi.org/10.1175/jcli-d-14-00324.1, 2015. a
Betts, A. K. and Ball, J. H.: The FIFE surface diurnal cycle climate, J. Geophys. Res., 100, 25679, https://doi.org/10.1029/94jd03121, 1995. a
Burden, R. L., Faires, D. J., and Burden, A. M.: Numerical Analysis, 10th Edn., ISBN 13: 978-1305253667, ISBN 10: 1305253663, Cengage Learning, Boston, 2016. a
Download
Short summary
The free software CLASS4GL (http://class4gl.eu) is designed to investigate the dynamic atmospheric boundary layer (ABL) with weather balloons. It mines observational data from global radio soundings, satellite and reanalysis data from the last 40 years to constrain and initialize an ABL model and automizes multiple experiments in parallel. CLASS4GL aims at fostering a better understanding of land–atmosphere feedbacks and the drivers of extreme weather.
Share