Recent Submissions 

  1. Supplementary Material of "Impacts of a Revised Surface Roughness Parameterization in the Community Land Model 5.1" 

    Meier, Ronny; Duveiller, Grégory; Davin, Edouard Léopold; et al. (2021)
    The roughness of the land surface (z0) is a key property for the amount of turbulent activity above the land surface and through that for the turbulent exchange of energy, water, omentum, and chemical species between the land and the atmosphere. Variations in z0 are substantial across different types of land cover from typically less than 1 mm over fresh snow or sand deserts up to more than 1 m over urban areas or forests. In this study, ...
    Model
  2. ROMS+NPZD model data (pt.2): additional data 

    Lovecchio, Elisa (2021)
    These data are derived from the same model run and are intended as complementary to the data stored on: https://www.research-collection.ethz.ch/handle/20.500.11850/278536 (doi: https://doi.org/10.3929/ethz-b-000278536) Files contain surface velocities, fluxes at the edge of the euphotic layer, nutrient content and NCP of the euphotic layer (E.L. = 100 m depth).
    Model
  3. BASEMENT v3, a modular freeware for river process modelling: test cases collection 

    Vanzo, Davide; Bürgler, Matthias; Conde, Daniel; et al. (2021)
    Model
  4. Ma2 – Martian Rockfall Convolutional Neural Network 

    Bickel, Valentin (2020)
    Model
  5. M5 – Lunar Rockfall Convolutional Neural Network 

    Bickel, Valentin (2018)
    Model
  6. FARMIND 

    Huber, Robert; Hang, Xiong; Keller, Kevin; et al. (2020)
    This is an agent-based model for the simulation of farm level decision-making developed by the Agricultural Economics and Policy Group at ETH Zurich (www.aecp.ethz.ch). The model represents each farm as an agent as well as a node in social networks. Each agent chooses a strategy for perform activities based on the satisfaction and uncertainty about its output. A set of activity options is determined for each agent according to the strategy ...
    Model
  7. Ensemble model of dispersed hnRNP A1 

    Jeschke, Gunnar (2020)
    Based on the NMR structure of UP1 (PDB 2LYV), the glycine-rich domain (188-320) was modelled using 19 distance distribution restraints. The ensemble model was validated by jack-knife resampling.
    Model
  8. GRID score implementation excel file 

    Kraft, Toni; Roth, Philippe; Wiemer, Stefan (2020)
    This excel file allows to calculate the GRID score for a deep geothermal system as described in Kraft et al. (2020) 'Good Practice Guide for Managing Induced Seismicity in Deep Geothermal Projects in Switzerland' version 2, https://doi.org/10.3929/ethz-b-000453228 .
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  9. LevelDynamics_Matlab/Simulink_R2020a_sources.7z 

    Glattfelder, Adolf Hermann (2020)
    Model
  10. LevelDynamics_Scilab/Xcos_v602_sources.7z 

    Glattfelder, Adolf Hermann (2020)
    Model
  11. GRID score implementation excel file 

    Wiemer, Stefan; Kraft, Toni; Trutnevyte, Evelina; et al. (2017)
    This is an outdated document, please use the current version (see link below).
    Model
  12. Urban Tethys-Chloris (UT&C v1.0) 

    Meili, Naika; Fatichi, Simone (2019)
    Urban Tethys-Chloris (UT&C v1.0) is a mechanistic urban ecohydrological model combining principles of ecohydrological land surface modelling with urban canopy modelling. UT&C is a fully coupled energy and water balance model that calculates 2 m air temperature, 2 m humidity, and surface temperatures. It explicitly resolves biophysical and ecophysiological characteristics of ground vegetation, urban trees, and green roofs and models all ...
    Model

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