Tomohiro Oda

TL;DR: In this paper, the authors compared six biomass burning (BB) emissions datasets for 2008 globally as well as in 14 regions in Southern Hemisphere Africa (SHAF) and South America (SHSA), and compared the simulated AOD with observed AOD from the AErosol-Obotic NETwork (AERONET) and the Multiangle Imaging Spectro-Radiometer (MISR) in the 14 regions during 2008.

TL;DR: In this article, a machine learning algorithm driven by information from the NASA GEOS-CF model was used to assess changes in nitrogen dioxide (NO 2 ) and ozone (O 3 ) at 5756 observations sites in 46 countries from January through June 2020.

TL;DR: Li et al. as discussed by the authors used national and provincial GDP data and the China Emission Accounts and Datasets (CEADs) inventory to estimate the emission reductions in the first quarter (Q1) of 2020.

TL;DR: In this article, the authors focus on validating model and satellite observation attributes that impact flux estimates and CO2 assimilation, including accurate error estimates, correlated and random errors, overall biases, biases by season and latitude, the impact of coincidence criteria, validation of seasonal cycle phase and amplitude, yearly growth, and daily variability.

TL;DR: In this article, an atmospheric transport model was employed to attribute column-averaged CO2 mixing ratios (XCO2) observed by Greenhouse gases Observing SATellite (GOSAT) to emissions due to large sources such as megacities and power plants.