Description and evaluation of a newly developed emission inventory processing system (EMIPS)

Wencong Chen; Yaqiang Wang; Jiawei Li; Ziwei Yi; Zhenchi Zhao; Bin Guo; Huizheng Che; Xiaoye Zhang

doi:10.1016/j.scitotenv.2023.161909

Description and evaluation of a newly developed emission inventory processing system (EMIPS)

Sci Total Environ. 2023 Apr 20:870:161909. doi: 10.1016/j.scitotenv.2023.161909. Epub 2023 Feb 1.

Authors

Wencong Chen¹, Yaqiang Wang², Jiawei Li³, Ziwei Yi¹, Zhenchi Zhao⁴, Bin Guo⁵, Huizheng Che¹, Xiaoye Zhang¹

Affiliations

¹ State Key Laboratory of Severe Weather & Institute of Artificial Intelligence for Meteorology, Chinese Academy of Meteorological Sciences, Beijing 100081, China.
² State Key Laboratory of Severe Weather & Institute of Artificial Intelligence for Meteorology, Chinese Academy of Meteorological Sciences, Beijing 100081, China. Electronic address: yqwang@cma.gov.cn.
³ CAS Key Laboratory of Regional Climate-Environment for Temperate East Asia (RCE-TEA), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
⁴ College of Oceanic and Atmosphere Sciences, Ocean University of China, Qingdao 266100, China.
⁵ Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai 200433, China.

PMID: 36736412
DOI: 10.1016/j.scitotenv.2023.161909

Abstract

Commonly available emission inventories are often incompatible with the input requirements of atmospheric chemistry models due to temporal and spatial resolution, pollutant types, etc. We present the Emission Inventory Processing System (EMIPS) version 1, an open-source and multi-scale atmospheric emission modeling framework that prepares specific emissions inputs for atmospheric chemistry models. EMIPS is a multifunctional and user-friendly system, coded in Jython and developed on the MeteoInfo software platform. It allows users to freely combine and process emission inventories to generate model-ready emissions data. The core functions of EMIPS include preprocessing, temporal allocation, spatial allocation, chemical speciation, and vertical allocation. We detail the implementation of each function in the body of this paper, and several examples are provided for illustration. The emission outputs obtained with EMIPS have been evaluated by simulating four pollutants (PM_2.5, PM₁₀, NO₂, and O₃) concentrations in January 2017 using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem), and comparison of model results with the observations indicates the model can reproduce the temporal and spatial patterns of pollutants, suggesting that EMIPS is capable of supporting atmospheric chemistry modeling. We expect this work could help to improve air quality research and forecast.

Keywords: Air quality; Atmospheric chemistry model; Emission inventory; Emissions processing.