The 1st Street-in-Grid (SinG) Modeling Symposium and the 2nd SinG Model Training Workshop
May 24-25, 2018
Air pollution causes 7 million death per year globally (1/8 of total global deaths) and is now the single largest environmental health risk, particularly in megacities and other urban areas where more than half of the world's total population lives. Rapid population growth and urbanization worldwide accelerate eco-environmental/socio-economic stress as well as adverse climatic and health impacts on urban dwellers. Atmospheric modeling research has largely been performed on a horizontal grid spacing of 4-km or larger due to a lack of understanding of the local-scale phenomena, appropriate parameterizations, and adequate modeling tools and computer resources. Urban/local street level air pollution, climate change, and their impacts on population exposure and human health have increasingly received attentions by both researchers and policy makers around the world. Recognizing the urgent need for scientific advancement, pollution/exposure assessment, policy-making, and public health protection at urban/local scales, we are pleased to announce that the 1st Street-in-Grid (SinG) Modeling Symposium and the 2nd SinG Model Training Workshop will be jointly held in Beijing, China during May 24-25, 2018. The SinG symposium and training workshop aim at advancing scientific understanding of local scale atmospheric phenomena, promoting state-of-the-science urban-street level modeling tools for complex interactions among urban air pollution, climate, and health, and building a high-level platform for scientists, engineers, managers, and government officials worldwide to review recent science and modeling advancement, identify research priority and direction, tackle technological and computational challenges, and provide scientific foundation for air pollution control policies and actions towards environment and human health protection. The SinG model training workshop will also provide hands-on training for a state-of-the-science SinG modeling system to students, postdoctoral researchers, and professionals.
Street-in-Grid model development and application
Urban/street level air quality and climate modeling
Urban traffic emissions and impact on air quality and human health
Urban canopy, heat island, and boundary layer modeling
Urban climate extreme: heat waves, stagnation, and compound extreme
CEREA, Marne-la-Vallée, France (Director Pietro Bernardara)
NCSU Air Quality Forecasting Lab, Raleigh, NC, U.S.A. (Professor Yang
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences
(IAP-CAS), Beijing, China (Director Zifa Wang)
CEREA (Ecole des Ponts ParisTech and EDF R&D), France
EDF R&D China Center, China
Office of Global Engagement, NCSU, U.S.A.
LAPC, IAP-CAS, China
Street-in-Grid model (SinG) is a new multi-scale model of urban air pollution (Kim et al., 2018). SinG dynamically combines a 3D Eulerian chemical-transport model (Polair3D) with a street-network model, the Model of Urban Network of Intersecting Canyons and Highways (MUNICH). Polair3D of the Polyphemus air quality modeling platform (Mallet et al., 2007) has been widely applied in Europe, North America, South America, Asia, and Africa (e.g., Sartelet et al., 2012; Zhang et al., 2013a, b). MUNICH is based conceptually on the SIRANE general formulation (Soulhac et al., 2011). MUNICH consists of two main components: the street-canyon component, which represents the atmospheric processes in the volume of the urban canopy, and the street-intersection component, which represents the processes in the volume of the intersection. These components are connected to the Polair3D model at roof level and are also interconnected. The combined model system, SinG, aims at improving urban street-level pollutant concentrations by modeling both background and street-level concentrations at the same time. The model development has been conducted at CEREA, France with funding from EDF R&D and EDF R&D China. Its first application has been realized over the Paris region.
CEREA and NCSU recently co-organized a
2-week SinG modeling
training workshop at CEREA. The training covered a number of topics including the SinG concept, the 3-D Polair3D model, the MUNICH model, as well as how to prepare input data and set up the configurations for application using SinG.
Kim, Y., Wu, Y., Seigneur, C., and Roustan, Y. (2018), Multi-scale
modeling of urban air pollution: development and application of a
Street-in-Grid model (v1.0) by coupling MUNICH (v1.0) and Polair3D (v1.8.1), Geosci. Model Dev., 11, 611-629, https://doi.org/10.5194/gmd-2017-189.
Zhang, Y., K. Sartelet, S.-Y. Wu, and C. Seigneur (2013a), Application
of WRF/Chem-MADRID and WRF/Polyphemus in Europe, Part I: Model Description
and Evaluation of Meteorological Predictions, Atmos. Chem. Phys., 13,
Zhang, Y., K. Sartelet, S. Zhu, W. Wang, S.-Y. Wu, X. Zhang, K. Wang,
P. Tran, and C. Seigneur (2013b), Application of WRF/Chem-MADRID and
WRF/Polyphemus in Europe, Part II: Evaluation of Chemical Concentrations and
Sensitivity Simulations, Atmos. Chem. Phys., 13, 6845-6875,
Sartelet, K. N., Couvidat, F., Seigneur, C., and Roustan, Y. (2012), Impact of biogenic emissions on air quality over Europe and North America, Atmos. Environ., 53, 131-141, doi:10.1016/j.atmosenv.2011.10.046.
Soulhac, L., Salizzoni, P., Cierco, F.-X., and Perkins, R. (2011), The
model SIRANE for atmospheric urban pollutant dispersion; part I, presentation
of the model, Atmos. Environ., 45, 7379-7395,
Mallet, V., D. Quélo, B. Sportisse, M. Ahmed de Biasi, É. Debry, I. Korsakissok, L. Wu, Y. Roustan, K. Sartelet, M. Tombette and H. Foudhil (2007), Technical Note: The air quality modeling system Polyphemus, Atmos. Chem. Phys., 7, 5479 - 5487.