Articles | Volume 23, issue 17
Research article
06 Sep 2023
Research article |  | 06 Sep 2023

A single-point modeling approach for the intercomparison and evaluation of ozone dry deposition across chemical transport models (Activity 2 of AQMEII4)

Olivia E. Clifton, Donna Schwede, Christian Hogrefe, Jesse O. Bash, Sam Bland, Philip Cheung, Mhairi Coyle, Lisa Emberson, Johannes Flemming, Erick Fredj, Stefano Galmarini, Laurens Ganzeveld, Orestis Gazetas, Ignacio Goded, Christopher D. Holmes, László Horváth, Vincent Huijnen, Qian Li, Paul A. Makar, Ivan Mammarella, Giovanni Manca, J. William Munger, Juan L. Pérez-Camanyo, Jonathan Pleim, Limei Ran, Roberto San Jose, Sam J. Silva, Ralf Staebler, Shihan Sun, Amos P. K. Tai, Eran Tas, Timo Vesala, Tamás Weidinger, Zhiyong Wu, and Leiming Zhang

Data sets

Shaler Meteorological Station at Harvard Forest 1964–2002 Emery Boose and Ernest Gould

Soil respiration, temperature and moisture at Harvard Forest EMS Tower since 1995 Eric Davidson and Kathleen Savage

Measurements at Harvard Forest EMS Tower 1991–2007 David Fitzjarrald and Ricardo Sakai

Biomass Inventories at Harvard Forest EMS Tower since 1993 version 34 William Munger and Steven Wofsy

Canopy-atmosphere exchange of carbon, water and energy at Harvard Forest EMS Tower since 1991 William Munger and Steven Wofsy

Short summary
A primary sink of air pollutants is dry deposition. Dry deposition estimates differ across the models used to simulate atmospheric chemistry. Here, we introduce an effort to examine dry deposition schemes from atmospheric chemistry models. We provide our approach’s rationale, document the schemes, and describe datasets used to drive and evaluate the schemes. We also launch the analysis of results by evaluating against observations and identifying the processes leading to model–model differences.
Final-revised paper