Multi-resolution Emission Inventory Model for Climate and Air Pollution Research (MEIC) and Carbon Neutrality and Clean Air Platform (CNCAP) Summer School

To support research on atmospheric chemistry and the atmospheric environment, and to facilitate coordinated responses to air pollution and climate change, the MEIC team will organize the Multi-resolution Emission Inventory Model for Climate and Air Pollution Research (MEIC) and Carbon Neutrality and Clean Air Platform (CNCAP) Summer School from August 21 to 23, 2024, building on previous years of workshops and training activities.

The summer school is mainly designed for graduate students and professional researchers working in the fields of atmospheric chemistry and the atmospheric environment, climate change mitigation and adaptation, and the coordinated governance of pollution reduction and carbon mitigation. The course will introduce the basic principles and practical use of the MEIC model and the CNCAP platform. Through hands-on case studies, participants will learn about the application of MEIC in atmospheric chemistry transport models, the development of emission reduction scenarios, and the assessment of the benefits of coordinated pathways for pollution reduction and carbon mitigation.

The summer school will enroll 50 participants. No tuition fee will be charged. Participants are responsible for their own accommodation and meals. Registration details are provided below. The registration deadline is July 5, and selected participants will be notified by July 12. For further information, please contact meic@tsinghua.edu.cn or Mrs. Zhou at 13810208460.

Venue: Chengdu Xanadu Hotel

Date: August 23–24, 2024

Registration: Please complete the questionnaire at:
https://www.wjx.cn/vm/t1yHEpd.aspx#

or scan the QR code.

Course Schedule

The Multi-resolution Emission Inventory Model for Climate and Air Pollution Research (MEIC) is an atmospheric emissions modeling platform for anthropogenic activities, developed from the Multi-resolution Emission Inventory for China. The model has been developed and maintained by Tsinghua University since 2010. It aims to build a high-resolution, multi-scale global database of anthropogenic greenhouse gas and air pollutant emission inventories and to share data products with the scientific community through a cloud-computing platform. MEIC provides fundamental emissions data support for scientific research, policy assessment, and air quality management.

The Carbon Neutrality and Clean Air Synergetic Platform for Scientific Assessment and Decision Support (CNCAP) is built upon independently developed models and datasets, including the Multi-resolution Emission Inventory for China (MEIC), the Dynamic Projection model for Emissions in China (DPEC), the Tracking Air Pollution in China dataset (TAP), and the Dynamic Mitigation Cost model (DMEC). It also couples and integrates multidisciplinary models such as the Global Change Analysis Model for China (GCAM-China), the Community Earth System Model (CESM), and atmospheric chemistry transport models including WRF-Chem and WRF-CMAQ.

By designing future scenarios, including socioeconomic pathways, carbon neutrality pathways, air pollution control scenarios, and population age structures, and by projecting emission pathways, simulating pollution exposure, and assessing costs and benefits, the platform explores feasible pathways for achieving synergies between carbon neutrality and clean air. It provides support for the formulation, implementation, and optimization of relevant policies.