Active Filters

  • (-) Journal = Geoscientific Model Development
  • (-) Publication Type = Journal Article
Search Results 1 - 16 of 16
  • RSS Feed
Select Page
Deep learning applied to CO<sub>2</sub> power plant emissions quantification using simulated satellite images
Dumont Le Brazidec, J., Vanderbecken, P., Farchi, A., Broquet, G., Kuhlmann, G., & Bocquet, M. (2024). Deep learning applied to CO2 power plant emissions quantification using simulated satellite images. Geoscientific Model Development, 17(5), 1995-2014. https://doi.org/10.5194/gmd-17-1995-2024
Segmentation of XCO<sub>2</sub> images with deep learning: application to synthetic plumes from cities and power plants
Dumont Le Brazidec, J., Vanderbecken, P., Farchi, A., Bocquet, M., Lian, J., Broquet, G., … Lauvaux, T. (2023). Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants. Geoscientific Model Development, 16(13), 3997-4016. https://doi.org/10.5194/gmd-16-3997-2023
UDALES 1.0: a large-eddy simulation model for urban environments
Suter, I., Grylls, T., Sützl, B. S., Owens, S. O., Wilson, C. E., & Van Reeuwijk, M. (2022). UDALES 1.0: a large-eddy simulation model for urban environments. Geoscientific Model Development, 15(13), 5309-5335. https://doi.org/10.5194/gmd-15-5309-2022
The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies
Berchet, A., Sollum, E., Thompson, R. L., Pison, I., Thanwerdas, J., Broquet, G., … Zhao, Y. (2021). The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies. Geoscientific Model Development, 14(8), 5331-5354. https://doi.org/10.5194/gmd-14-5331-2021
Evaluation of polar stratospheric clouds in the global chemistry-climate model SOCOLv3.1 by comparison with CALIPSO spaceborne lidar measurements
Steiner, M., Luo, B., Peter, T., Pitts, M. C., & Stenke, A. (2021). Evaluation of polar stratospheric clouds in the global chemistry-climate model SOCOLv3.1 by comparison with CALIPSO spaceborne lidar measurements. Geoscientific Model Development, 14(2), 935-959. https://doi.org/10.5194/gmd-14-935-2021
An online emission module for atmospheric chemistry transport models: implementation in COSMO-GHG v5.6a and COSMO-ART v5.1-3.1
Jähn, M., Kuhlmann, G., Mu, Q., Haussaire, J. M., Ochsner, D., Osterried, K., … Brunner, D. (2020). An online emission module for atmospheric chemistry transport models: implementation in COSMO-GHG v5.6a and COSMO-ART v5.1-3.1. Geoscientific Model Development, 13(5), 2379-2392. https://doi.org/10.5194/gmd-13-2379-2020
The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500
Meinshausen, M., Nicholls, Z. R. J., Lewis, J., Gidden, M. J., Vogel, E., Freund, M., … Wang, R. H. J. (2020). The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500. Geoscientific Model Development, 13(8), 3571-3605. https://doi.org/10.5194/gmd-13-3571-2020
COSMO-BEP-Tree v1.0: a coupled urban climate model with explicit representation of street trees
Mussetti, G., Brunner, D., Henne, S., Allegrini, J., Krayenhoff, E. S., Schubert, S., … Carmeliet, J. (2020). COSMO-BEP-Tree v1.0: a coupled urban climate model with explicit representation of street trees. Geoscientific Model Development, 13(3), 1685-1710. https://doi.org/10.5194/gmd-13-1685-2020
The Lagrangian particle dispersion model FLEXPART version 10.4
Pisso, I., Sollum, E., Grythe, H., Kristiansen, N. I., Cassiani, M., Eckhardt, S., … Stohl, A. (2019). The Lagrangian particle dispersion model FLEXPART version 10.4. Geoscientific Model Development, 12(12), 4955-4997. https://doi.org/10.5194/gmd-12-4955-2019
Three-dimensional methane distribution simulated with FLEXPART 8-CTM-1.1 constrained with observation data
Groot Zwaaftink, C. D., Henne, S., Thompson, R. L., Dlugokencky, E. J., Machida, T., Paris, J. D., … Stohl, A. (2018). Three-dimensional methane distribution simulated with FLEXPART 8-CTM-1.1 constrained with observation data. Geoscientific Model Development, 11(11), 4469-4487. https://doi.org/10.5194/gmd-11-4469-2018
Evaluation of high-resolution GRAMM-GRAL (v15.12/v14.8) NO<sub>x</sub> simulations over the city of Zürich, Switzerland
Berchet, A., Zink, K., Oettl, D., Brunner, J., Emmenegger, L., & Brunner, D. (2017). Evaluation of high-resolution GRAMM-GRAL (v15.12/v14.8) NOx simulations over the city of Zürich, Switzerland. Geoscientific Model Development, 10(9), 3441-3459. https://doi.org/10.5194/gmd-10-3441-2017
Historical greenhouse gas concentrations for climate modelling (CMIP6)
Meinshausen, M., Vogel, E., Nauels, A., Lorbacher, K., Meinshausen, N., Etheridge, D. M., … Weiss, R. (2017). Historical greenhouse gas concentrations for climate modelling (CMIP6). Geoscientific Model Development, 10(5), 2057-2116. https://doi.org/10.5194/gmd-10-2057-2017
Objectified quantification of uncertainties in Bayesian atmospheric inversions
Berchet, A., Pison, I., Chevallier, F., Bousquet, P., Bonne, J. L., & Paris, J. D. (2015). Objectified quantification of uncertainties in Bayesian atmospheric inversions. Geoscientific Model Development, 8(5), 1525-1546. https://doi.org/10.5194/gmd-8-1525-2015
The coupled atmosphere–chemistry–ocean model SOCOL-MPIOM
Muthers, S., Anet, J. G., Stenke, A., Raible, C. C., Rozanov, E., Brönnimann, S., … Schmutz, W. (2014). The coupled atmosphere–chemistry–ocean model SOCOL-MPIOM. Geoscientific Model Development, 7(5), 2157-2179. https://doi.org/10.5194/gmd-7-2157-2014
The regional aerosol-climate model REMO-HAM
Pietikäinen, J. P., O'Donnell, D., Teichmann, C., Karstens, U., Pfeifer, S., Kazil, J., … Laaksonen, A. (2012). The regional aerosol-climate model REMO-HAM. Geoscientific Model Development, 5(6), 1323-1339. https://doi.org/10.5194/gmd-5-1323-2012
Towards an online-coupled chemistry-climate model: evaluation of trace gases and aerosols in COSMO-ART
Knote, C., Brunner, D., Vogel, H., Allan, J., Asmi, A., Äijälä, M., … Vogel, B. (2011). Towards an online-coupled chemistry-climate model: evaluation of trace gases and aerosols in COSMO-ART. Geoscientific Model Development, 4(4), 1077-1102. https://doi.org/10.5194/gmd-4-1077-2011