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An air quality model that is evolving with the times

The pioneering Sulfur Transport and Deposition Model, initially designed to simulate atmospheric sulfur, continues to find new applications and value in environmental science and policymaking.

In addition, as productive as STEM has been through its history, updating it (and similar models) is necessary to ensure that it remains a robust option for air quality and climate scientists to study our environment and to inform policymaking and the design of atmospheric observing systems. Simulations of regional to local air quality as well as of its contributing factors, combined with socioeconomic data, could clarify the picture of environmental inequity across an area of interest and help evaluate potential solutions involving migration, relocation, or urban or ecosystem adaptations. The authors acknowledge the following people (in alphabetical order) who also have contributed to the developments and applications of the STEM model: Maryam Abdi-Oskouei, Bhupesh Adhikary, Richard Arndt, Giuseppe Calori, Elliott Campbell, Tianfeng Chai, Young-Soo Chang, Yafang Cheng, Seog-Yeon Cho, Shin-Woo Chul, Kevin Crist, Dacian Daescu, Alessio D’Allura, Valeriu Damian, Meng Gao, Sarath Guttikunda, Amir Hakami, Hiroshi Hayami, Shan He, Daven Henze, Min-Sun Hong, Aditsuda Jamroensan, Kuruvilla John, Toshihiro Kitada, Rao Kotamarthi, Sarika Kulkarni, Gakuji Kurata, Pallavi Marrapu, Marcelo Mena, Li Pan, Leonard Peters, Mahesh Phadnis, Florian Potra, Pablo Saide, Adrian Sandu, John Seinfeld, Shang-Gyoo Shim, Negin Sobhani, Chul Han Song, Scott Spak, David Streets, Young Sunwoo, Youhua Tang, Narisara Thongboonchoo, Itsushi Uno, Xuemei Wang, Zifa Wang, Chao Wei, Jung-Hun Woo, Hui Xiao, Yiwen Xu, and Yang Zhang.

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