1,721,316 research outputs found
Evaluating the performance of SURFEXv5 as a new land surface scheme for the ALADINcy36 and ALARO-0 models. Geosci. Model Dev. Discuss., 6,
No full textGLM2_modified and Results as used in Ma et al 2019, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-146
No full textCode modified GLM2, scripts and result as used in Ma et al 2019, Ma et al 2019, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-146</p
Support Assets for Figs and Tabs in gmd-2018-292 (Geosci. Model Dev. Discussions)
No full textSupport assets for "VISIR-I.b: waves and ocean currents for energy efficient navigation", by G. Mannarini and L. Carelli, gmd-2018-292 (Geosci. Model Dev. Discussions)
-graphs_gmd-2018-292.tar.gz
Graphs for running VISIR computations
- figTab_DATA.tar.gz:
Source data for Figures and Tables
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PIK-LPJmL/LPJmLmdi: Original R package as used in Drüke et al. 2019, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-92
No full textOriginal R package as used in Drüke et al. 2019, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-92
Reference:
Drüke, M., Forkel, M., von Bloh, W., Sakschewski, B., Cardoso, M., Bustamante, M., Kurths, J., and Thonicke, K.: Improving the LPJmL4-SPITFIRE vegetation-fire model for South America using satellite data, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-9
Supplement file for EWPV1 wind farm parametrisation in Geosci. Model Dev., 2015
No full text<p>This zip-file contains the model code, the experimental set-up, and a user manual to allow for reproducibility of the results presented in:</p>
<p>The Explicit Wake Parametrisation V1.0: A WindFarm Parametrisation in the Mesoscale Model WRF, Geosci. Model Dev., 2015</p>
LPJmL5.0-tillage: Original source code as used in Lutz et al., 2019: submitted to Geosci. Model Dev.
No full textLPJmL5.0-tillage, Original source code as used in: The importance of management information and soil moisture representation for simulating tillage effects on N2O emissions in LPJmL5.0-tillage (submitted to Geosci. Model Dev.)</p
Support Data Assets for Figures and Tables in gmd-2018-292 (Geosci. Model Dev.)
No full textSupport data assets for "VISIR-1.b: ocean surface gravity waves and currents for energy efficient navigation}, by G. Mannarini and L. Carelli, gmd-2018-292 (Geosci. Model Dev.):
-graphs_gmd-2018-292.tar.gz
Graphs for running VISIR computations
- figTab_DATA_v3.tar.gz:
Source data for Figures and Tables
Please refer to https://doi.org/10.5281/zenodo.2563074 for the full release of VISIR-1.b source code. </p
Model simulation data used in "Coupling aerosols to (cirrus) clouds in the global aerosol-climate model EMAC-MADE3" (Righi et al., Geosci. Model Dev., 2020)
No full textThis dataset contains the output of the EMAC-MADE3 global model simulations analysed and discussed in Righi et al. (Geosci. Model Dev., 2020). An overview of the numerical experiments performed for this study is given in the file "experiments.dat"
Model simulation data used in "Modelling mineral dust emissions and atmospheric dispersion with MADE3 in EMAC v2.54" (Beer et al., Geosci. Model Dev., 2020)
No full textThis dataset contains the output and the namelist setups of the EMAC-MADE3 global model simulations analysed and discussed in Beer et al. (Geosci. Model Dev., 2020; https://doi.org/10.5194/gmd-13-4287-2020)
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