Articles | Volume 15, issue 2
https://doi.org/10.5194/gmd-15-365-2022
https://doi.org/10.5194/gmd-15-365-2022
Model description paper
 | 
18 Jan 2022
Model description paper |  | 18 Jan 2022

Inishell 2.0: semantically driven automatic GUI generation for scientific models

Mathias Bavay, Michael Reisecker, Thomas Egger, and Daniela Korhammer

Related authors

Air temperature partitioning of snow accumulation, erosion and melt: a regime shift occurring on Mt. Ortles (Eastern Italian Alps)
Tiziana Lazzarina Zendrini, Luca Carturan, Michael Lehning, Mathias Bavay, Federico Cazorzi, Paolo Gabrielli, Nander Wever, and Giancarlo Dalla Fontana
EGUsphere, https://doi.org/10.5194/egusphere-2025-5186,https://doi.org/10.5194/egusphere-2025-5186, 2025
This preprint is open for discussion and under review for The Cryosphere (TC).
Short summary
Multitemporal analysis of Sentinel-1 backscattering during snow melt using high-resolution field measurements and radiative transfer modeling
Francesca Carletti, Carlo Marin, Chiara Ghielmini, Mathias Bavay, and Michael Lehning
EGUsphere, https://doi.org/10.5194/egusphere-2025-974,https://doi.org/10.5194/egusphere-2025-974, 2025
Short summary
Unlocking the potential of melting calorimetry: a field protocol for liquid water content measurement in snow
Riccardo Barella, Mathias Bavay, Francesca Carletti, Nicola Ciapponi, Valentina Premier, and Carlo Marin
The Cryosphere, 18, 5323–5345, https://doi.org/10.5194/tc-18-5323-2024,https://doi.org/10.5194/tc-18-5323-2024, 2024
Short summary
Monitoring snow wetness evolution from satellite with Sentinel-1 multi-track composites
Gwendolyn Dasser, Valentin T. Bickel, Marius Rüetschi, Mylène Jacquemart, Mathias Bavay, Elisabeth D. Hafner, Alec van Herwijnen, and Andrea Manconi
EGUsphere, https://doi.org/10.5194/egusphere-2024-1510,https://doi.org/10.5194/egusphere-2024-1510, 2024
Short summary
Unlocking the Potential of Melting Calorimetry: A Field Protocol for Liquid Water Content Measurement in Snow
Riccardo Barella, Mathias Bavay, Francesca Carletti, Nicola Ciapponi, Valentina Premier, and Carlo Marin
EGUsphere, https://doi.org/10.5194/egusphere-2023-2892,https://doi.org/10.5194/egusphere-2023-2892, 2024
Preprint archived
Short summary

Cited articles

Abrams, M., Phanouriou, C., Batongbacal, A. L., Williams, S. M., and Shuster, J. E.: UIML: an appliance-independent XML user interface language, Comput. Netw., 31, 1695–1708, https://doi.org/10.1016/S1389-1286(99)00044-4, 1999. a
Bair, E. H., Rittger, K., Ahmad, J. A., and Chabot, D.: Comparison of modeled snow properties in Afghanistan, Pakistan, and Tajikistan, The Cryosphere, 14, 331–347, https://doi.org/10.5194/tc-14-331-2020, 2020. a
Bavay, M. and Egger, T.: MeteoIO 2.4.2: a preprocessing library for meteorological data, Geosci. Model Dev., 7, 3135–3151, https://doi.org/10.5194/gmd-7-3135-2014, 2014. a, b, c, d
Bavay, M., Fiddes, J., Fierz, C., Lehning, M., Monti, F., and Egger, T.: The METEOIO pre-processing library for operational applications, in: International Snow Science Workshop ISSW, 7–12 October 2018, Innsbruck, Austria, https://doi.org/10.5281/zenodo.5718629, 2018. a, b
Bavay, M., Fiddes, J., and Godøy, Ø.: Automatic Data Standardization for the Global Cryosphere Watch Data Portal, Data Science Journal, 19, p. 6, https://doi.org/10.5334/dsj-2020-006, 2020a. a
Download
Short summary
Most users struggle with the configuration of numerical models. This can be improved by relying on a GUI, but this requires a significant investment and a specific skill set and does not fit with the daily duties of model developers, leading to major maintenance burdens. Inishell generates a GUI on the fly based on an XML description of the required configuration elements, making maintenance very simple. This concept has been shown to work very well in our context.
Share