D2.7 - Multi-scale global IFS inversion outputs (2021) with assimilated posterior emissions from hot-spots

This dataset provides daily, prior and posterior hotspot CO2 emission estimates derived by assimilating TROPOMI-derived emission estimates from selected power plants in the United States of America and Europe as observations into a posterior emission ensemble from the Integrated Forecasting System (IFS). The hotspot CO2 emission estimates are derived by conerting TROPOMI-derived NOx emission estimates (Kuhlmann et al., 2026) to CO2 emissions using the prior CO2:NOx emission ratio in CAMS-GLOB-ANT (Soulie et al., 2024). The posterior emission assimilation methodology is described in Section 3.2 of CORSO Deliverable Report D2.7 (Visser et al., 2025). The dataset consists of daily csv files for June and December 2021, containing the following data variables: Column name Units Description plant_name - Power plant name e_prior kg m⁻² s⁻¹ IFS prior emission (ensemble mean of the 'ene' sector in the nearest grid cell) e_prior_unc kg m⁻² s⁻¹ IFS prior emission uncertainty (ensemble standard deviation of the 'ene' sector in the nearest grid cell) e_post kg m⁻² s⁻¹ IFS posterior emission (ensemble mean of the 'ene' sector in the nearest grid cell) e_post_unc kg m⁻² s⁻¹ IFS posterior emission uncertainty (ensemble standard deviation of the 'ene' sector in the nearest grid cell) e_obs kg m⁻² s⁻¹ CO2 emission obtained from the TROPOMI hotspot NOx emission estimate, interpolated to the IFS grid e_obs_unc kg m⁻² s⁻¹ CO2 emission uncertainty obtained from the TROPOMI hotspot NOx emission estimate, interpolated to the IFS grid Empty values for e_obs and e_obs_unc indicate no valid TROPOMI-derived emission estimate for that power plant on that day. On such days, the prior and posterior emissions (and their uncertainties) are identical.