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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
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
LPJ-GM 1.0: simulating migration efficiently in a dynamic vegetation model
Lehsten, V., Mischurow, M., Lindström, E., Lehsten, D., & Lischke, H. (2019). LPJ-GM 1.0: simulating migration efficiently in a dynamic vegetation model. Geoscientific Model Development, 12(3), 893-908. https://doi.org/10.5194/gmd-12-893-2019
The open global glacier model (OGGM) v1.1
Maussion, F., Butenko, A., Champollion, N., Dusch, M., Eis, J., Fourteau, K., … Marzeion, B. (2019). The open global glacier model (OGGM) v1.1. Geoscientific Model Development, 12(3), 909-931. https://doi.org/10.5194/gmd-12-909-2019
ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks
Krinner, G., Derksen, C., Essery, R., Flanner, M., Hagemann, S., Clark, M., … Zhu, D. (2018). ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks. Geoscientific Model Development, 11(12), 5027-5049. https://doi.org/10.5194/gmd-11-5027-2018
SMRT: an active-passive microwave radiative transfer model for snow with multiple microstructure and scattering formulations (v1.0)
Picard, G., Sandells, M., & Löwe, H. (2018). SMRT: an active-passive microwave radiative transfer model for snow with multiple microstructure and scattering formulations (v1.0). Geoscientific Model Development, 11(7), 2763-2788. https://doi.org/10.5194/gmd-11-2763-2018
Evaluating the effect of alternative carbon allocation schemes in a land surface model (CLM4.5) on carbon fluxes, pools, and turnover in temperate forests
Montané, F., Fox, A. M., Arellano, A. F., MacBean, N., Ross Alexander, M., Dye, A., … Moore, D. J. P. (2017). Evaluating the effect of alternative carbon allocation schemes in a land surface model (CLM4.5) on carbon fluxes, pools, and turnover in temperate forests. Geoscientific Model Development, 10(9), 3499-3517. https://doi.org/10.5194/gmd-10-3499-2017
DebrisInterMixing-2.3: a finite volume solver for three-dimensional debris-flow simulations with two calibration parameters – part 2: model validation with experiments
von Boetticher, A., Turowski, J. M., McArdell, B. W., Rickenmann, D., Hürlimann, M., Scheidl, C., & Kirchner, J. W. (2017). DebrisInterMixing-2.3: a finite volume solver for three-dimensional debris-flow simulations with two calibration parameters – part 2: model validation with experiments. Geoscientific Model Development, 10(11), 3963-3978. https://doi.org/10.5194/gmd-10-3963-2017
StreamFlow 1.0: an extension to the spatially distributed snow model Alpine3D for hydrological modelling and deterministic stream temperature prediction
Gallice, A., Bavay, M., Brauchli, T., Comola, F., Lehning, M., & Huwald, H. (2016). StreamFlow 1.0: an extension to the spatially distributed snow model Alpine3D for hydrological modelling and deterministic stream temperature prediction. Geoscientific Model Development, 9(12), 4491-4519. https://doi.org/10.5194/gmd-9-4491-2016
DebrisInterMixing-2.3: a finite volume solver for three-dimensional debris-flow simulations with two calibration parameters – part 1: model description
von Boetticher, A., Turowski, J. M., McArdell, B. W., Rickenmann, D., & Kirchner, J. W. (2016). DebrisInterMixing-2.3: a finite volume solver for three-dimensional debris-flow simulations with two calibration parameters – part 1: model description. Geoscientific Model Development, 9(9), 2909-2923. https://doi.org/10.5194/gmd-9-2909-2016
A two-layer canopy model with thermal inertia for an improved snowpack energy balance below needleleaf forest (model SNOWPACK, version 3.2.1, revision 741)
Gouttevin, I., Lehning, M., Jonas, T., Gustafsson, D., & Mölder, M. (2015). A two-layer canopy model with thermal inertia for an improved snowpack energy balance below needleleaf forest (model SNOWPACK, version 3.2.1, revision 741). Geoscientific Model Development, 8(8), 2379-2398. https://doi.org/10.5194/gmd-8-2379-2015
Upscaling with the dynamic two-layer classification concept (D2C): TreeMig-2L, an efficient implementation of the forest-landscape model TreeMig
Nabel, J. E. M. S. (2015). Upscaling with the dynamic two-layer classification concept (D2C): TreeMig-2L, an efficient implementation of the forest-landscape model TreeMig. Geoscientific Model Development, 8(11), 3563-3577. https://doi.org/10.5194/gmd-8-3563-2015
MEMLS3&a: Microwave Emission Model of Layered Snowpacks adapted to include backscattering
Proksch, M., Mätzler, C., Wiesmann, A., Lemmetyinen, J., Schwank, M., Löwe, H., & Schneebeli, M. (2015). MEMLS3&a: Microwave Emission Model of Layered Snowpacks adapted to include backscattering. Geoscientific Model Development, 8(8), 2611-2626. https://doi.org/10.5194/gmd-8-2611-2015
MeteoIO 2.4.2: a preprocessing library for meteorological data
Bavay, M., & Egger, T. (2014). MeteoIO 2.4.2: a preprocessing library for meteorological data. Geoscientific Model Development, 7(6), 3135-3151. https://doi.org/10.5194/gmd-7-3135-2014
Estimating soil organic carbon stocks of Swiss forest soils by robust external-drift kriging
Nussbaum, M., Papritz, A., Baltensweiler, A., & Walthert, L. (2014). Estimating soil organic carbon stocks of Swiss forest soils by robust external-drift kriging. Geoscientific Model Development, 7(3), 1197-1210. https://doi.org/10.5194/gmd-7-1197-2014