OMI-based emission source classification in East China and its spatial redistribution in view of pollution control measures.

This study aims to generate a satellite-based qualitative emission source characterization for the heavily polluted eastern part of China in the 2010-2016 time period. The applied source identification technique relies on satellite-based NO and SO emission estimates by OMI, their SO:NO ratio, and the MIX anthropogenic emission inventory to distinguish emissions from different emission categories (urban, industrial, natural) and characterize the dominant source per 0.25° × 0.

Satellite reveals a steep decline in China's CO emissions in early 2022.

Response actions to the coronavirus disease 2019 perturbed economies and carbon dioxide (CO) emissions. The Omicron variant that emerged in 2022 caused more substantial infections than in 2020 and 2021 but it has not yet been ascertained whether Omicron interrupted the temporary post-2021 rebound of CO emissions. Here, using satellite nitrogen dioxide observations combined with atmospheric inversion, we show a larger decline in China's CO emissions between January and April 2022 than in those months during the first wave of 2020.

Spaceborne Observations of Lightning NO in the Arctic.

The Arctic region is experiencing notable warming as well as more lightning. Lightning is the dominant source of upper tropospheric nitrogen oxides (NO), which are precursors for ozone and hydroxyl radicals. In this study, we combine the nitrogen dioxide (NO) observations from the TROPOspheric Monitoring Instrument (TROPOMI) with Vaisala Global Lightning Dataset 360 to evaluate lightning NO (LNO) production in the Arctic.

Satellite-based estimates of decline and rebound in China's CO emissions during COVID-19 pandemic.

Changes in CO emissions during the COVID-19 pandemic have been estimated from indicators on activities like transportation and electricity generation. Here, we instead use satellite observations together with bottom-up information to track the daily dynamics of CO emissions during the pandemic. Unlike activity data, our observation-based analysis deploys independent measurement of pollutant concentrations in the atmosphere to correct misrepresentation in the bottom-up data and can provide more detailed insights into spatially explicit changes.

Abrupt decline in tropospheric nitrogen dioxide over China after the outbreak of COVID-19.

China's policy interventions to reduce the spread of the coronavirus disease 2019 have environmental and economic impacts. Tropospheric nitrogen dioxide indicates economic activities, as nitrogen dioxide is primarily emitted from fossil fuel consumption. Satellite measurements show a 48% drop in tropospheric nitrogen dioxide vertical column densities from the 20 days averaged before the 2020 Lunar New Year to the 20 days averaged after.

NO emission trends over Chinese cities estimated from OMI observations during 2005 to 2015.

Satellite NO observations have been widely used to evaluate emission changes. To determine trends in NO emission over China, we used a method independent of chemical transport models to quantify the NO emissions from 48 cities and 7 power plants over China, on the basis of Ozone Monitoring Instrument (OMI) NO observations during 2005 to 2015. We found that NO emissions over 48 Chinese cities increased by 52% from 2005 to 2011 and decreased by 21% from 2011 to 2015.

A new method for deriving trace gas emission inventories from satellite observations: The case of SO over China.

A method is developed that allows the construction of spatial emission inventories. The method is applied for anthropogenic SO over China (0.25°×0.