Description: National commitments under the Paris Agreement on climate change interact with other global environmental objectives, such as those of the Minamata Convention on Mercury. We assess how mercury emissions and deposition reductions from national climate policy in China under the Paris Agreement could contribute to the country's commitments under the Minamata Convention. We examine emissions under climate policy scenarios developed using a computable general equilibrium model of China's economy, end-of-pipe control scenarios that meet China's commitments under the Minamata Convention, and these policies in combination, and evaluate deposition using a global atmospheric transport model. We find climate policy in China can provide mercury benefits when implemented with Minamata policy, achieving in the year 2030 approximately 5\% additional reduction in mercury emissions and deposition in China when climate policy achieves a 5% reduction per year in carbon intensity (CO2 emissions 9.7 Gt in 2030). This corresponds to 63 Mg additional mercury emissions reductions in 2030 when implemented with Minamata Convention policy, compared to Minamata policy implemented alone. Climate policy provides emissions reductions in sectors not considered under the Minamata Convention, such as residential combustion. This changes the combination of sectors that contribute to emissions reductions. This data submission includes scripts to project China's 2012 mercury emissions from the Emissions Database for Global Atmospheric Research (EDGAR) and prepare them for input to the global chemical transport model, GEOS-Chem. It also includes scripts to plot projected emissions and plot deposition results (with required raw results from GEOS-Chem) for the figures included in the Environmental Science and Technology article.

Description: This dataset contains minute-averaged ozone mole fractions measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. The measurements were performed in the Swiss container on the D-deck of Research Vessel Polarstern. Data were collected using a 2B Technologies instrument (model 205). The minute-averaged mole fractions were adjusted after cross-evaluation against measurements performed in the Atmospheric Radiation Measurement (ARM) Program container using a Thermo Fisher Scientific model 49i instrument. Negative spikes due to local anthropogenic pollution sources (e.g., exhaust by the vessel's engine and vents, skidoos, helicopters, on-ice diesel generators) were identified and flagged using the function “despike” from R package oce (version 1.3-0). Briefly, this function first linearly interpolates across any gaps (missing values). Then, it calculates a running median spanning k elements. The result of these two steps is the “reference” time-series. The standard deviation of the difference between values and the reference is then calculated. Values that differ from the reference by more than n times this standard deviation are considered to be spikes and eliminated. The function was applied twice with different k values (k = 1439 (1 day) and k = 61 (1 hour)) and n = 3. The data columns include the Date and Time in Coordinated Universal Time (UTC), the latitude and longitude of Research Vessel Polarstern, the MOSAiC event label, the original ozone mole fractions in nmol/mol, the adjusted ozone mole fractions in nmol/mol after cross-evaluation, and a pollution flag where 'yes' means that local pollution was detected.