User Agreement > This User Agreement ("Agreement") is a contract between you and TAP team and applies to your utilization of the TAP materials and services. You must read, agree with and accept all of the terms and conditions contained in this Agreement. Any users of the TAP content regardless of sources are regarded as…
About PHD > PHD (PM2.5 Hindcast Database) is a database that provides historical PM2.5 estimates across China, during 2000-2016. Using a machine learning approach, PHD assembled datasets from multiple sources, including MODIS satellite measurements of aerosol, CMAQ modeling outputs based on MEIC historical emission inventories and many other spatiotemporal variables, and hindcasted the daily PM2.5 concentrations from 2000…
If you use the PM2.5 concentration data from TAP, please cite this website (http://tapdata.org.cn) and the following papers: Geng, G., Xiao, Q., Liu, S., Liu, X., Cheng, J., Zheng, Y., Xue, T., Tong, D., Zheng, B., Peng, Y., Huang, X., He, K., & Zhang, Q. (2021). Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals…
Overview > Tracking Air Pollution in China (TAP) is a near real-time air pollutant concentration database, which is developed and maintained by Tsinghua University in collaboration with Peking University, Nanjing University, Fudan University, Chinese Academy of Meteorological Sciences, etc. The TAP database is derived by machine learning approaches that combine information from multiple data sources,…
Steering Committee > Working Group >
Datasets > Geng, G., Xiao, Q., Liu, S., Liu, X., Cheng, J., Zheng, Y., Xue, T., Tong, D., Zheng, B., Peng, Y., Huang, X., He, K., & Zhang, Q. (2021). Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion. Environ Sci Technol, 55, 12106-12115. [Link] [PDF] Xiao, Q., Geng G., Liu,…
