| Scenario setup and forcing data for impact model evaluation and impact attribution within the third round of the Inter-Sectoral Model Intercomparison Project (ISIMIP3a)
Frieler, K., Volkholz, J., Lange, S., Schewe, J., Mengel, M., Del Rocío Rivas López, M., … Bechtold, M. (2024). Scenario setup and forcing data for impact model evaluation and impact attribution within the third round of the Inter-Sectoral Model Intercomparison Project (ISIMIP3a). Geoscientific Model Development, 17(1), 1-51. https://doi.org/10.5194/gmd-17-1-2024 |
| Graphics-processing-unit-accelerated ice flow solver for unstructured meshes using the Shallow-Shelf Approximation (FastIceFlo v1.0.1)
Sandip, A., Räss, L., & Morlighem, M. (2024). Graphics-processing-unit-accelerated ice flow solver for unstructured meshes using the Shallow-Shelf Approximation (FastIceFlo v1.0.1). Geoscientific Model Development, 17(2), 899-909. https://doi.org/10.5194/gmd-17-899-2024 |
| An empirical model to calculate snow depth from daily snow water equivalent: SWE2HS 1.0
Aschauer, J., Michel, A., Jonas, T., & Marty, C. (2023). An empirical model to calculate snow depth from daily snow water equivalent: SWE2HS 1.0. Geoscientific Model Development, 16(14), 4063-4081. https://doi.org/10.5194/gmd-16-4063-2023 |
| A finite-element framework to explore the numerical solution of the coupled problem of heat conduction, water vapor diffusion, and settlement in dry snow (IvoriFEM v0.1.0)
Brondex, J., Fourteau, K., Dumont, M., Hagenmuller, P., Calonne, N., Tuzet, F., & Löwe, H. (2023). A finite-element framework to explore the numerical solution of the coupled problem of heat conduction, water vapor diffusion, and settlement in dry snow (IvoriFEM v0.1.0). Geoscientific Model Development, 16(23), 7075-7106. https://doi.org/10.5194/gmd-16-7075-2023 |
| Automatic snow type classification of snow micropenetrometer profiles with machine learning algorithms
Kaltenborn, J., Macfarlane, A. R., Clay, V., & Schneebeli, M. (2023). Automatic snow type classification of snow micropenetrometer profiles with machine learning algorithms. Geoscientific Model Development, 16(15), 4521-4550. https://doi.org/10.5194/gmd-16-4521-2023 |
| A wind-driven snow redistribution module for Alpine3D v3.3.0: adaptations designed for downscaling ice sheet surface mass balance
Keenan, E., Wever, N., Lenaerts, J. T. M., & Medley, B. (2023). A wind-driven snow redistribution module for Alpine3D v3.3.0: adaptations designed for downscaling ice sheet surface mass balance. Geoscientific Model Development, 16(11), 3203-3219. https://doi.org/10.5194/gmd-16-3203-2023 |
| The High-resolution Intermediate Complexity Atmospheric Research (HICAR v1.1) model enables fast dynamic downscaling to the hectometer scale
Reynolds, D., Gutmann, E., Kruyt, B., Haugeneder, M., Jonas, T., Gerber, F., … Mott, R. (2023). The High-resolution Intermediate Complexity Atmospheric Research (HICAR v1.1) model enables fast dynamic downscaling to the hectometer scale. Geoscientific Model Development, 16(17), 5049-5068. https://doi.org/10.5194/gmd-16-5049-2023 |
| Introducing CRYOWRF v1.0: multiscale atmospheric flow simulations with advanced snow cover modelling
Sharma, V., Gerber, F., & Lehning, M. (2023). Introducing CRYOWRF v1.0: multiscale atmospheric flow simulations with advanced snow cover modelling. Geoscientific Model Development, 16(2), 719-749. https://doi.org/10.5194/gmd-16-719-2023 |
| The Multiple Snow Data Assimilation System (MuSA v1.0)
Alonso-González, E., Aalstad, K., Baba, M. W., Revuelto, J., López-Moreno, J. I., Fiddes, J., … Gascoin, S. (2022). The Multiple Snow Data Assimilation System (MuSA v1.0). Geoscientific Model Development, 15(24), 9127-9155. https://doi.org/10.5194/gmd-15-9127-2022 |
| Inishell 2.0: semantically driven automatic GUI generation for scientific models
Bavay, M., Reisecker, M., Egger, T., & Korhammer, D. (2022). Inishell 2.0: semantically driven automatic GUI generation for scientific models. Geoscientific Model Development, 15(2), 365-378. https://doi.org/10.5194/gmd-15-365-2022 |
| TopoCLIM: rapid topography-based downscaling of regional climate model output in complex terrain v1.1
Fiddes, J., Aalstad, K., & Lehning, M. (2022). TopoCLIM: rapid topography-based downscaling of regional climate model output in complex terrain v1.1. Geoscientific Model Development, 15(4), 1753-1768. https://doi.org/10.5194/gmd-15-1753-2022 |
| Modeling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0.
Hames, O., Jafari, M., Wagner, D. N., Raphael, I., Clemens-Sewall, D., Polashenski, C., … Lehning, M. (2022). Modeling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0. Geoscientific Model Development, 15(16), 6429-6449. https://doi.org/10.5194/gmd-15-6429-2022 |
| Assessing the robustness and scalability of the accelerated pseudo-transient method
Räss, L., Utkin, I., Duretz, T., Omlin, S., & Podladchikov, Y. Y. (2022). Assessing the robustness and scalability of the accelerated pseudo-transient method. Geoscientific Model Development, 15(14), 5757-5786. https://doi.org/10.5194/gmd-15-5757-2022 |
| Tree migration in the dynamic, global vegetation model LPJ-GM 1.1: efficient uncertainty assessment and improved dispersal kernels of European trees
Zani, D., Lehsten, V., & Lischke, H. (2022). Tree migration in the dynamic, global vegetation model LPJ-GM 1.1: efficient uncertainty assessment and improved dispersal kernels of European trees. Geoscientific Model Development, 15(12), 4913-4940. https://doi.org/10.5194/gmd-15-4913-2022 |
| Partitioning soil organic carbon into its centennially stable and active fractions with machine-learning models based on Rock-Eval<sup>®</sup> thermal analysis (PARTY<sub>SOC</sub>v2.0 and PARTY<sub>SOC</sub>v2.0<sub>EU</sub>)
Cécillon, L., Baudin, F., Chenu, C., Christensen, B. T., Franko, U., Houot, S., … Barré, P. (2021). Partitioning soil organic carbon into its centennially stable and active fractions with machine-learning models based on Rock-Eval® thermal analysis (PARTYSOCv2.0 and PARTYSOCv2.0EU). Geoscientific Model Development, 14(6), 3879-3898. https://doi.org/10.5194/gmd-14-3879-2021 |
| Using the International Tree-Ring Data Bank (ITRDB) records as century-long benchmarks for global land-surface models
Jeong, J., Barichivich, J., Peylin, P., Haverd, V., McGrath, M. J., Vuichard, N., … Luyssaert, S. (2021). Using the International Tree-Ring Data Bank (ITRDB) records as century-long benchmarks for global land-surface models. Geoscientific Model Development, 14(9), 5891-5913. https://doi.org/10.5194/gmd-14-5891-2021 |
| A distributed simple dynamical systems approach (dS2 v1.0) for computationally efficient hydrological modelling at high spatio-temporal resolution
Buitink, J., Melsen, L. A., Kirchner, J. W., & Teuling, A. J. (2020). A distributed simple dynamical systems approach (dS2 v1.0) for computationally efficient hydrological modelling at high spatio-temporal resolution. Geoscientific Model Development, 13(12), 6093-6110. https://doi.org/10.5194/gmd-13-6093-2020 |
| Modelling thermomechanical ice deformation using an implicit pseudo-transient method (FastICE v1.0) based on graphical processing units (GPUs)
Räss, L., Licul, A., Herman, F., Podladchikov, Y. Y., & Suckale, J. (2020). Modelling thermomechanical ice deformation using an implicit pseudo-transient method (FastICE v1.0) based on graphical processing units (GPUs). Geoscientific Model Development, 13(3), 955-976. https://doi.org/10.5194/gmd-13-955-2020 |
| FORests and HYdrology under Climate Change in Switzerland v1.0: a spatially distributed model combining hydrology and forest dynamics
Speich, M. J. R., Zappa, M., Scherstjanoi, M., & Lischke, H. (2020). FORests and HYdrology under Climate Change in Switzerland v1.0: a spatially distributed model combining hydrology and forest dynamics. Geoscientific Model Development, 13(2), 537-564. https://doi.org/10.5194/gmd-13-537-2020 |
| Version 1 of a sea ice module for the physics-based, detailed, multi-layer SNOWPACK model
Wever, N., Rossmann, L., Maaß, N., Leonard, K. C., Kaleschke, L., Nicolaus, M., & Lehning, M. (2020). Version 1 of a sea ice module for the physics-based, detailed, multi-layer SNOWPACK model. Geoscientific Model Development, 13(1), 99-119. https://doi.org/10.5194/gmd-13-99-2020 |