Multi-resolution Emission Inventory (MEIC) is a technology-based bottom up air pollutant and greenhouse gas inventories from anthropogenic sources, which is developed and maintained on the basis of cloud computing platform by Tsinghua University. Designed to provide uniform, précis, and up-to-date data for scientific research, policy assessment and air quality management, MEIC is capable of offering a rich emission data from 1990 to the present with high spatial resolution.

中国多尺度排放清单模型 (Multi-resolution Emission Inventory for China,简称MEIC)是一套基于云计算平台开发的中国大气污染物和温室气体人为源排放清单模型,旨在为科学研究、政策评估和空气质量管理等工作提供规范、准确、更新及时的高分辨率动态排放清单数据产品,由清华大学开发和维护。


Anthropogenic emissions in China are continuously rising in recent years, positioning negatively impacts on environment and climate. How to quantify emission fluxes and explore its relationship with human activities is of great interests in both scientific research and policy management. Accurate, complete and timely-updated emission inventories are essential to identify emission sources and necessary for policy making and air quality management.


With the fast industrialization and urbanization, the air pollutants in China have been changing rapidly in terms of spatial and temporal dimensions, which pose a great challenge on the quantification work. Such complex emissions call for a higher technic to accurately reflect the emission fluxes. However, the unified emission inventory technology in China has not been established yet. Existing inventories applied diversity of technologies and are limited to large uncertainties, low resolution, and low efficiency in data update, which is hard to satisfy the policy making and scientific research requirement.


To solve these problems, we developed MEIC model on the basis of Tsinghua University’s rich practical experiences in emission source quantification and modern computer science and network technologies. The MEIC model is composed of source categorization, technology turnover model, emission factor database and high-resolution emission processing system. MEIC is fully integrated on the cloud-computing platform, which allows users to conveniently access all customized emission products online.


In future, our team will devote full effort to development of the MEIC into an open and world-class emission model and provide high quality technical support for scientific research and policy-making.



  • Include ten pollutants and greenhouse gases (i.e., SO2, NOx, CO, NMVOC, NH3, CO2, PM2.5, PM10, BC, and OC) from more than 700 sources.
  • Use unified methodology and dataset to assure of transparency and comparability. Version management for code and data.
  • Integrate the up-to-date dynamic methodology and local emission factor database.
  • Provide model-ready emission input for air quality models with high spatial and temporal resolutions.
  • Build data interfaces to local emission inventories.
  • Provide gridded emissions online on the cloud computing platform.
  • 涵盖10种主要大气污染物和温室气体(SO2、NOx、CO、NMVOC、NH3、CO2、PM2.5、PM10、BC和OC)和700多种人为排放源;
  • 基于统一的方法学和基础数据建立,版本化管理,方法和数据透明且易于比较;
  • 集成了最新的动态排放清单方法和本地化的排放因子数据库;
  • 与空气质量模型无缝链接,提供可供模型直接使用的多层嵌套高时空分辨率排放清单;
  • 提供数据接口,实现与本地排放清单的对接;
  • 基于云计算技术,提供网格化排放清单在线计算和数据下载。


The MEIC model was developed since 2010. We finished MEIC version 1.0 and brought it online in 2012. In the beginning of 2015, we updated and released MEIC version 1.2.


Until now, the MEIC model has been used by more than 100 institutions worldwide. In China, it has been widely used for air pollution cause analysis, air pollution forecast and warning, and air pollution control plans development. The MEIC model also supports several international research projects such as MICS and HTAP. Tens of relevant papers have been published until 2014.



The development and maintenance of MEIC model are sponsored by:

  • National Natural Science Foundation of China, grant no. 41222036
  • China’s National Basic Research Program, grant no. 2010CB951803
  • China’s National High Technology Research and Development Program, grant no. 2006AA06A305
  • Tsinghua University Initiative Research Program, grant no. 2011Z01026
  • Energy Foundation China
  • State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex
  • Ministry of Education Key Laboratory for Earth System Modeling


  • 环境保护部
  • 中国国家自然科学基金(41222036)
  • 国家重点基础研究发展计划(2010CB951803)
  • 国家高技术研究发展计划(863计划,2006AA06A305)
  • 清华大学自主科研计划(2011Z01026)
  • 能源基金会中国可持续能源项目
  • 国家环境保护大气复合污染来源与控制重点实验室
  • 地球系统数值模拟教育部重点实验室