As the societal impacts of hazardous weather and other environmental pressures grow, the need for integrated predictions which can represent the numerous feedbacks and linkages between physical and chemical atmospheric processes is greater than ever. This has led to development of a new generation of high resolution multi-scale coupled prediction tools to represent the two-way interactions between aerosols, chemical composition, meteorological processes such as radiation and cloud microphysics.

Contributions are invited on different aspects of integrated model and data assimilation development, evaluation and understanding. A number of application areas of new integrated modelling developments are expected to be considered, including:

i) improved numerical weather prediction and chemical weather forecasting with feedbacks between aerosols, chemistry and meteorology,

ii) two-way interactions between atmospheric composition and climate variability.

This session aims to share experience and best practice in integrated prediction, including:

a) strategy and framework for online integrated meteorology-chemistry modelling;
b) progress on design and development of seamless coupled prediction systems;
c) improved parameterisation of weather-composition feedbacks;
d) data assimilation developments;
e) evaluation, validation, and applications of integrated systems.

This Section is organised in cooperation with the Copernicus Atmosphere Monitoring Service (CAMS), the "Pan-Eurasian Experiment" (PEEX) multidisciplinary program and the WMO Global Atmosphere Watch (GAW) Programme, celebrating its 30 years anniversary in 2019.

Co-organized as NH1.19/NP5.4
Convener: Alexander Baklanov | Co-conveners: Johannes Flemming, Georg Grell
| Fri, 12 Apr, 08:30–10:15
Room 0.11
| Attendance Fri, 12 Apr, 10:45–12:30
Hall X5

Attendance time: Friday, 12 April 2019, 10:45–12:30 | Hall X5

X5.407 |
Ariane Frassoni, Glícia Ruth Garcia, Saulo R. Freitas, and Debora Alvim
X5.408 |
Miguel Ángel Torres Vázquez, Amar Halifa-Marín, Raquel Lorente-Plazas, Marco Turco, Jose María López-Romero, Laura Palacios-Peña, Sonia Jerez, Juan Pedro Montávez, and Pedro Jiménez-Guerrero
X5.409 |
Magdalena Kossakowska, Jacek W. Kaminski, Joanna Struzewska, and Janusz Krzyscin
X5.410 |
Alexander Mahura, Risto Makkonen, Pyry Poutanen, Hanna K. Lappalainen, Tuukka Petäjä, Michael Boy, Markku Kulmala, and Sergej Zilitinkevich
X5.411 |
Alexander Baklanov, Julia Schmale, Kathy Law, Vito Vitale, Alexander Mahura, and Tuukka Petäjä
X5.412 |
Santiago Lopez-Restrepo, Andres Yarce, Nicolas Pinel, Olga Lucia Quintero, Arjo Segers, and Arnold W Heemink
X5.413 |
Ying Xie, Xiaofeng Wang, Baode Chen, Xiaolin Xu, Xu Zhang, Weiqiang Ge, Yuhua Yang, Ronald van der A, and Jieying Ding
X5.414 |
Alexander Ukhov, Suleiman Mostamandi, Nick Krotkov, Can Li, Johannes Flemming, Vitali Fioletov, Chris McLinden, Anatolii Anisimov, Yasser Alshehri, and Georgiy Stenchikov
X5.415 |
Jhon Edinson Hinestroza, Jimmy Andreson Flórez, Jose Andrés Posada, Juan Jose Henao, Olga Lucia Quintero, and Angela María Rendón
X5.416 |
Georg Grell, Haiqin Li, Li Zhang, Saulo R. Freitas, Dominikus Heinzeller, Stuart McKeen, Hannah Barnes, Ravan Ahmadov, and Joseph Olson
X5.418 |
Johannes Flemming, Vincent Huijnen, Kazuyuki Miyazaki, Melanie Ades, Antje Inness, Zak Kipling, Richard Engelen, Mark Parrington, and Jerome Barre
X5.419 |
Stratospheric ozone model for seamless prediction systems: Impacts on meteorology.
Beatriz Monge-Sanz, Johannes Flemming, Theodore Shepherd, Alessio Bozzo, Nicholas Byrne, Martyn Chipperfield, Michail Diamantakis, Robin Hogan, Linus Magnusson, Inna Politchouk, Nils Wedi, and Antje Weisheimer
X5.420 |
Anne Caroline Lange, Hendrik Elbern, and Philipp Franke