Environmental Modeling

The long-term plan of the Environmental Modeling Group is to develop integrated modelling approaches that address societally important environmental questions associated with human development. Questions of large importance, perhaps exacerbated by climate change, population growth, urbanisation, industrialisation and intensive agricultural practices, are addressed by the group. An important priority is to assess the impact of urbanisation on the regional and global environment. 

A first task is to improve our ability to predict regional air pollution, specifically in Asia, South America and Africa. The development of comprehensive tools for the analysis and prediction of air quality can help decision-makers to take science-informed action to reduce chemical emissions, specifically in industrialized and urbanized regions. The Environmental Modeling Group will contribute to the development of such integrated modeling systems that base their predictions on assimilated satellite observations (initial conditions), updated emission inventories, chemical and microphysical transformations, multi-scale transport processes, and surface deposition.

The next generation models will account for the interactive processes between meteorology, gas phase chemistry and aerosols microphysics. Transport of chemical species across scales will be treated by global models that have unstructured grids and zooming capability to provide high-resolution information in specific regions. Applications of such models will be made in regions of complex topography such as the Andes in South America. Pre-operational modeling systems will be developed for applications in Asia, in South America and Africa. A better quantification of the influence of small-scale turbulence on the rate of reactions between pollutants, specifically in urban areas, where emissions are very heterogeneous and the small-scale dynamics very complex, will be performed.

Projects

Klimapolis Laboratory

The “Joint Laboratory on Urban Climate, Water and Air Pollution: Modeling, Planning, Monitoring, Social Learning” (Klimapolis Laboratory) is a long-term cooperation between German and Brazilian partners that was established in 2018 through an agreement between the Max Planck Institute of Meteorology (MPI-M) and the Institute of Astronomy, Geophysics and Atmospheric Sciences of the University of São Paulo (IAG / USP). The activities of the Klimapolis Laboratory are financed by the German Federal Ministry of Education and Research (BMBF) for a period of five years (2017 to 2022). The Klimapolis Laboratory is developing a joint Brazilian German transdisciplinary research program that, through sustained dialogues with different stakeholders, environmental literacy and social learning, will contribute to the development of environmentally resilient cities in Brazil. The Laboratory will have special focus on the relation between climate, water and air pollution and societal actors, and will co-design with city officials and other urban actors approaches towards the development of sustained cities and improved governance structures.
(Guy Brasseur, Nico Caltabiano, Adrien Deroubaix)

Project website: www.klimapolis.net

AQ-WATCH (Air Quality: Worldwide Analysis and Forecasting of Atmospheric Composition for Health)

AQ-WATCH is codeveloping and co-producing innovative downstream products and services derived from space and in situ observational data, advanced multi-scale predictive models and downscaling techniques, and tailored to the identified needs of international users. The purpose of these products and services is to provide a better understanding and mapping of air quality aimed at improving public health and optimizing renewable energy in different regions of the world. A prototype production chain has been initiated through dynamic interactions between the developers of the prototype products/services and three prime users in different parts of the world (Colorado, USA; Santiago, Chile; greater Beijing- Tianjin-Hebei region, P.R. China). The consortium includes knowledge institutes, applied science organizations and business-oriented partners from 10 countries to define the optimal functionalities of the products and services. With the input of users and successive iterations, feedback reactions are collected and analysed, and will be included in the new development. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 870301.
(Guy Brasseur, Nico Caltabiano, Cathy Li)

Project website: www.aq-watch.eu

PAPILA (Prediction of Air Pollution in Latin America and the Caribbean)

The overall objective of the PAPILA project is to establish a sustained network of partners with complementary expertise that develops and implements an analysis and forecast system for air quality with downscaling capability for Latin America and the Caribbean region (LAC region), and to assess the impact of air pollution (background and peaks) on health and on the economy. This system will help decision-makers improve air quality and public health, and avoid the occurrence of acute air pollution episodes, particularly in urban areas. The project is strictly about mobility and staff exchange (secondments) within the consortium, funded under grant agreement 777544 of the EU Marie Skłodowska-Curie Actions (MSCA) for Research and Innovation Staff Exchange (RISE). PAPILA has 9 European partners and 9 associated partners from South America and Caribbean countries, and runs from 2018 until 2021.
(Guy Brasseur, Idir Bouarar, Ina Döge)

Project website: www.papila-h2020.eu

CAMS 84 Global and Regional a posteriori Evaluation and Quality Assurance

Project website: http://mpimet-cams.de/

An important element of the CAMS services is the evaluation and quality assurance of the products. The global analyses and forecasts are systematically evaluated every three months. CAMS uses a multitude of independent observational data sets to verify these products. A new retrospective analyses data set has been produced recently for the years 2003-2020. (Natalia Sudarchikova)

 

CAMS 74 Climate Forcing Service

The project provides estimates of radiative forcing of the Earth’s energy budget by carbon dioxide, methane, stratospheric and tropospheric ozone, and aerosols. Those estimates, and their uncertainties, are based on the CAMS Reanalysis of atmospheric composition. Within the CAMS74 activity, the MPI Environmental Modeling Group provides pre-industrial levels of the atmospheric composition. (Natalia Sudarchikova)

 

CAMS 42 Development of Global Reactive Gases Aspects

The project develops global chemistry modules as currently implemented in IFS. In addition to support upgrades to the C-IFS  operational atmospheric chemistry analyses and forecasts, CAMS42 provides three operational functioning C-IFS variants for atmospheric chemistry: CB05BASCOE, MOZART and MOCAGE. The Environmental Modeling Group at MPI is responsible for the development of the MOZART configuration in IFS to align the chemistry settings to latest developments in the Whole Atmospheric Community Model. (Idir Bouarar)

Past events

1- PANDA workshop, 22-26 Feb. 2016, Guangzhou, China

2- Germany's WRF-Chem users workshop, Sep. 2016, Hamburg, Germany

Group leader