Lee T. Murray

TL;DR: In this paper, an optimal regional scaling algorithm for CTMs to fit the lightning NOxsource to the satellite lightning data in a way that preserves the coupling to deep convective transport was presented.

TL;DR: In this article, the authors used observations from two aircraft during the International Consortium for Atmospheric Research on Transport and Transformation (ICARTT) campaign over the eastern United States and North Atlantic during summer 2004, interpreted with a global 3-D model of tropospheric chemistry (GEOS-Chem) to test current understanding of the regional sources, chemical evolution, and export of nitrogen oxides.

TL;DR: There have been specific improvements in representations of modes of variability (such as the Madden‐Julian Oscillation and other modes in the Pacific) and significant improvements in the simulation of the climate of the Southern Oceans, including sea ice.

TL;DR: The authors assesses the skill of current-generation global atmospheric chemistry models in simulating the observed present-day tropospheric ozone distribution, variability, and trends using a range of model evaluation techniques, and demonstrate that global chemistry models are broadly skillful in capturing the spatio-temporal variations of troposphere ozone over the seasonal cycle, for extreme pollution episodes, and changes over interannual to decadal periods.

TL;DR: The GEOS-Chem global chemical transport model is used to evaluate the quantitative utility of FNR observed from the Ozone Monitoring Instrument and it is found that FNR in the model surface layer is a robust predictor of the simulated near-surface O3 production regime.