Atmospheric gas indicator trends

Large panels of spatially-referenced, time-stamped atmospheric CO₂ observations from NASA’s OCO-2 and CH₄ observations from ESA’s Sentinel-5P were employed to compute monthly mean concentration anomalies, defined as deviations from global trends. Long- and short-term trend regressions were estimated for cells of high-resolution global grids, and cell-specific results meeting the classical significance test (p ≤ 0.05) were identified as positive or negative trends. The regression results are provided at a global geographic grid. The results are summarized at five geographic levels: administrative 0 (World Bank), administrative 1 (World Bank), administrative 2 (World Bank), Exclusive Economic Zone (Flanders Marine Institute) and Functional Urban Areas (Schiavina et al. 2019). The trend score ranges from -100 to 100.These high-resolution findings were aggregated to generate performance scores for geographic areas of arbitrary scale. More details on the methodology will be posted in the forthcoming working paper entitled, “Satellite-Based Measures for Tracking Atmospheric CO₂ and CH₄ At National, Subnational and Urban Scales” by Brian Blankespoor, Susmita Dasgupta, and David Wheeler.Data references:Flanders Marine Institute (2023). Maritime Boundaries Geodatabase: Maritime Boundaries and Exclusive Economic Zones (200NM), version 12. Available online at https://www.marineregions.org/. https://doi.org/10.14284/632 Schiavina M., Moreno-Monroy A., Maffenini L., Veneri P. (2019). GHS-FUA R2019A - GHS functional urban areas, derived from GHS-UCDB R2019A, (2015), R2019A. European Commission, Joint Research Centre (JRC)10.2905/347F0337-F2DA-4592-87B3-E25975EC2C95