学术报告一：“Estimation of air pollutant and greenhouse gas sources using Lagrangian and Eulerian models”and an overview of modeling activities of Dr. Dominik Brunner’s group.
报告人：Dr. Dominik Brunner
报告人简介：Dr. Dominik Brunner has studied physics at ETH Zurich and did his PhD on measurements of ozone and nitrogen oxides from a B-747 passenger aircraft. After working 2 years at the Royal Netherlands Meteorological Institute KNMI on global chemistry transport modeling, he returned to ETH Zurich where he was engaged in several European research projects and research aircraft measurement campaigns. Since 2006, he is leading the group for atmospheric modeling and remote sensing at the Institute for Air Pollution and Environmental Technology at Empa, the Swiss Federal Institute for Materials Science and Technology. He has a broad expertise in atmospheric transport and chemistry modelling in both Eulerian and Lagrangian frameworks. He is PI of a large collaborative project CarboCount Switzerland on CO2 and CH4 emission estimation and participant in several other nationally, EU and ESA funded projects. He is author and co-author of more than 50 peer-review scientific publications, associate editor of Atmospheric Measurement Techniques, Co-Convener of the 2011 AGU Chapman conference on Lagrangian modeling, and steering committee member of the European tall-tower network TTORCH.
学术报告二：Global-scale tropospheric Lagrangian particle models with linear chemistry
报告人简介：Dr. Stephan Henne studied Meteorology at the University of Hamburg, Germany, and did his PhD on atmospheric pollution transport in complex terrain at the ETH Zurich, Switzerland. He spend 2 years as a PostDoc at Empa, Switzerland, working on atmospheric composition measurements from the GAW site Mt. Kenya, Kenya. Since 2006 Dr. Henne is a senior scientist in the group of atmospheric modelling and remote sensing at Empa. He has a broad background in atmospheric transport from the local to the global scale and the application of Lagrangian transport models for emission inversion and global scale chemistry simulations.
报告内容摘要：
Currently most global-scale atmospheric chemistry transport models are formulated in a Eulerian frame of reference, while Lagrangian models of atmospheric chemistry are often very limited in the number of model air parcels. Due to the non-linear nature of atmospheric chemistry individual air parcels cannot be considered as independent chemical reactors. Hence, a mechanism for inter-parcel mixing needs to be implemented in Lagrangian atmospheric chemistry models. However, to describe certain atmospheric chemistry problems it may be sufficient to use a linearized description of the chemistry that does not require advanced numerical techniques and allows independent treatment of chemistry on every model parcel. This article discusses the requirements and limitations for such a simplification. Two example applications using different Lagrangian set-ups, depending on the lifetime of the involved compounds, are discussed in detail: first, global domain-filling simulations for long lifetimes with emission uptake by air parcels close to the surface, second, simulations for short lifetimes with air parcels generated proportional to emission rates and terminated once the compound is mostly destroyed. Both applications showed very promising performance in terms of reproducing surface observations and in comparison to Eulerian approaches. Lagrangian models with linearized chemistry may depend on results from more comprehensive Eulerian models and there may be limitations connected with the incomplete description of chemistry, but the models superiority to describe tracer transport should outweigh the aforementioned restrictions. Hence, these models offer a serious alternative for selected applications.
报告时间：2012年4月26日（星期四）上午9:00-11:00
报告地点：铁塔分部LAPC多功能会议室
报告人：Dr. Dominik Brunner
报告人简介：Dr. Dominik Brunner has studied physics at ETH Zurich and did his PhD on measurements of ozone and nitrogen oxides from a B-747 passenger aircraft. After working 2 years at the Royal Netherlands Meteorological Institute KNMI on global chemistry transport modeling, he returned to ETH Zurich where he was engaged in several European research projects and research aircraft measurement campaigns. Since 2006, he is leading the group for atmospheric modeling and remote sensing at the Institute for Air Pollution and Environmental Technology at Empa, the Swiss Federal Institute for Materials Science and Technology. He has a broad expertise in atmospheric transport and chemistry modelling in both Eulerian and Lagrangian frameworks. He is PI of a large collaborative project CarboCount Switzerland on CO2 and CH4 emission estimation and participant in several other nationally, EU and ESA funded projects. He is author and co-author of more than 50 peer-review scientific publications, associate editor of Atmospheric Measurement Techniques, Co-Convener of the 2011 AGU Chapman conference on Lagrangian modeling, and steering committee member of the European tall-tower network TTORCH.
学术报告二：Global-scale tropospheric Lagrangian particle models with linear chemistry
报告人简介：Dr. Stephan Henne studied Meteorology at the University of Hamburg, Germany, and did his PhD on atmospheric pollution transport in complex terrain at the ETH Zurich, Switzerland. He spend 2 years as a PostDoc at Empa, Switzerland, working on atmospheric composition measurements from the GAW site Mt. Kenya, Kenya. Since 2006 Dr. Henne is a senior scientist in the group of atmospheric modelling and remote sensing at Empa. He has a broad background in atmospheric transport from the local to the global scale and the application of Lagrangian transport models for emission inversion and global scale chemistry simulations.
报告内容摘要：
Currently most global-scale atmospheric chemistry transport models are formulated in a Eulerian frame of reference, while Lagrangian models of atmospheric chemistry are often very limited in the number of model air parcels. Due to the non-linear nature of atmospheric chemistry individual air parcels cannot be considered as independent chemical reactors. Hence, a mechanism for inter-parcel mixing needs to be implemented in Lagrangian atmospheric chemistry models. However, to describe certain atmospheric chemistry problems it may be sufficient to use a linearized description of the chemistry that does not require advanced numerical techniques and allows independent treatment of chemistry on every model parcel. This article discusses the requirements and limitations for such a simplification. Two example applications using different Lagrangian set-ups, depending on the lifetime of the involved compounds, are discussed in detail: first, global domain-filling simulations for long lifetimes with emission uptake by air parcels close to the surface, second, simulations for short lifetimes with air parcels generated proportional to emission rates and terminated once the compound is mostly destroyed. Both applications showed very promising performance in terms of reproducing surface observations and in comparison to Eulerian approaches. Lagrangian models with linearized chemistry may depend on results from more comprehensive Eulerian models and there may be limitations connected with the incomplete description of chemistry, but the models superiority to describe tracer transport should outweigh the aforementioned restrictions. Hence, these models offer a serious alternative for selected applications.
报告时间：2012年4月26日（星期四）上午9:00-11:00
报告地点：铁塔分部LAPC多功能会议室
