Articles | Volume 8, issue 2
https://doi.org/10.5194/gmd-8-205-2015
https://doi.org/10.5194/gmd-8-205-2015
Model description paper
 | 
09 Feb 2015
Model description paper |  | 09 Feb 2015

Pangolin v1.0, a conservative 2-D advection model towards large-scale parallel calculation

A. Praga, D. Cariolle, and L. Giraud

Related authors

Aerosol data assimilation in the chemical transport model MOCAGE during the TRAQA/ChArMEx campaign: aerosol optical depth
Bojan Sič, Laaziz El Amraoui, Andrea Piacentini, Virginie Marécal, Emanuele Emili, Daniel Cariolle, Michael Prather, and Jean-Luc Attié
Atmos. Meas. Tech., 9, 5535–5554, https://doi.org/10.5194/amt-9-5535-2016,https://doi.org/10.5194/amt-9-5535-2016, 2016
Accounting for model error in air quality forecasts: an application of 4DEnVar to the assimilation of atmospheric composition using QG-Chem 1.0
Emanuele Emili, Selime Gürol, and Daniel Cariolle
Geosci. Model Dev., 9, 3933–3959, https://doi.org/10.5194/gmd-9-3933-2016,https://doi.org/10.5194/gmd-9-3933-2016, 2016
Short summary
Large-eddy simulation of contrail evolution in the vortex phase and its interaction with atmospheric turbulence
J. Picot, R. Paoli, O. Thouron, and D. Cariolle
Atmos. Chem. Phys., 15, 7369–7389, https://doi.org/10.5194/acp-15-7369-2015,https://doi.org/10.5194/acp-15-7369-2015, 2015
Combined assimilation of IASI and MLS observations to constrain tropospheric and stratospheric ozone in a global chemical transport model
E. Emili, B. Barret, S. Massart, E. Le Flochmoen, A. Piacentini, L. El Amraoui, O. Pannekoucke, and D. Cariolle
Atmos. Chem. Phys., 14, 177–198, https://doi.org/10.5194/acp-14-177-2014,https://doi.org/10.5194/acp-14-177-2014, 2014
Modeling the present and future impact of aviation on climate: an AOGCM approach with online coupled chemistry
P. Huszar, H. Teyssèdre, M. Michou, A. Voldoire, D. J. L. Olivié, D. Saint-Martin, D. Cariolle, S. Senesi, D. Salas Y Melia, A. Alias, F. Karcher, P. Ricaud, and T. Halenka
Atmos. Chem. Phys., 13, 10027–10048, https://doi.org/10.5194/acp-13-10027-2013,https://doi.org/10.5194/acp-13-10027-2013, 2013

Related subject area

Atmospheric sciences
Improving trajectory calculations by FLEXPART 10.4+ using single-image super-resolution
Rüdiger Brecht, Lucie Bakels, Alex Bihlo, and Andreas Stohl
Geosci. Model Dev., 16, 2181–2192, https://doi.org/10.5194/gmd-16-2181-2023,https://doi.org/10.5194/gmd-16-2181-2023, 2023
Short summary
Data fusion uncertainty-enabled methods to map street-scale hourly NO2 in Barcelona: a case study with CALIOPE-Urban v1.0
Alvaro Criado, Jan Mateu Armengol, Hervé Petetin, Daniel Rodriguez-Rey, Jaime Benavides, Marc Guevara, Carlos Pérez García-Pando, Albert Soret, and Oriol Jorba
Geosci. Model Dev., 16, 2193–2213, https://doi.org/10.5194/gmd-16-2193-2023,https://doi.org/10.5194/gmd-16-2193-2023, 2023
Short summary
Forecasting tropical cyclone tracks in the northwestern Pacific based on a deep-learning model
Liang Wang, Bingcheng Wan, Shaohui Zhou, Haofei Sun, and Zhiqiu Gao
Geosci. Model Dev., 16, 2167–2179, https://doi.org/10.5194/gmd-16-2167-2023,https://doi.org/10.5194/gmd-16-2167-2023, 2023
Short summary
Accelerating models for multiphase chemical kinetics through machine learning with polynomial chaos expansion and neural networks
Thomas Berkemeier, Matteo Krüger, Aryeh Feinberg, Marcel Müller, Ulrich Pöschl, and Ulrich K. Krieger
Geosci. Model Dev., 16, 2037–2054, https://doi.org/10.5194/gmd-16-2037-2023,https://doi.org/10.5194/gmd-16-2037-2023, 2023
Short summary
A machine learning emulator for Lagrangian particle dispersion model footprints: a case study using NAME
Elena Fillola, Raul Santos-Rodriguez, Alistair Manning, Simon O'Doherty, and Matt Rigby
Geosci. Model Dev., 16, 1997–2009, https://doi.org/10.5194/gmd-16-1997-2023,https://doi.org/10.5194/gmd-16-1997-2023, 2023
Short summary

Cited articles

Arakawa, A. and Lamb, V. R.: Computational design of the basic dynamical processes of the UCLA general circulation model, Meth. Comput. Phys., 17, 173–265, 1977.
Belikov, D., Maksyutov, S., Miyasaka, T., Saeki, T., Zhuravlev, R., and Kiryushov, B.: Mass-conserving tracer transport modelling on a reduced latitude-longitude grid with NIES-TM, Geosci. Model Dev., 4, 207–222, https://doi.org/10.5194/gmd-4-207-2011, 2011.
Cariolle, D. and Teyssèdre, H.: A revised linear ozone photochemistry parameterization for use in transport and general circulation models: multi-annual simulations, Atmos. Chem. Phys., 7, 2183–2196, https://doi.org/10.5194/acp-7-2183-2007, 2007.
Chipperfield, M. P.: New version of the TOMCAT/SLIMCAT off-line chemical transport model: Intercomparison of stratospheric tracer experiments, Q. J. Roy. Meteorol. Soc., 132, 1179–1203, https://doi.org/10.1256/qj.05.51, 2006.
Collins, W. and Rasch, P. J.: Description of the NCAR community atmosphere model (CAM 3.0), NCAR Tech. Note, 2004.
Download