Water vapor absorption in the near-UV region is essential to describe the energy budget of Earth; however, there is little spectroscopic information available. And accurate near-UV water absorption is also required in both ground-based observations and satellite missions for trace gas species. Here, we provide the high-resolution spectra of water vapor around 415 nm measured with cavity ring-down spectroscopy. These absorption lines have never been experimentally verified before.

A network of low cost sensors is a good alternative to improve the detection of fugitive CH₄ emissions. In this study, we present the results of 4 tests conducted with 2 types of Figaro sensors, which were assembled on four chambers in a laboratory experiment: a comparison of five models to reconstruct the CH₄ signal; a strategy to reduce the training set size; a detection of age effects in the sensors; and a test of the capability to transfer a model between chambers on the same type of sensor.

Building on the identification of hundreds of gas-phase chemicals in smoke samples from laboratory and field studies, an algorithm was developed that successfully identified chemical patterns that were consistent among types of trees and unique between types of trees that are common fuels in western coniferous forests. The algorithm is a promising approach for selecting chemical speciation profiles for air quality modeling using a highly reduced suite of measured compounds.

Orbitool is an open-source software tool, mainly coded in Python, with a graphical user interface (GUI), specifically developed to facilitate the analysis of online Orbitrap mass spectrometric data. It is notably optimized for long-term atmospheric measurements and laboratory studies.

We have developed a novel method to identify and characterize the gases emitted in biomass burning fires in a time-resolved fashion. Using time-resolved infrared spectroscopy combined with time-resolved thermal imaging in a wind tunnel, we were able to capture the gas-phase dynamics of the burning of plants native to the southeastern United States.