LPDM footprint dataset - Brazil

Sample dataset of LPDM footprints for GOSAT measurements over and near Brazil, generated with the Met Office's NAME III v7.2. The footprints were generated for for GOSAT measurements for 2014, 2015, 2016 and 2018 in the [35.8∘ S -7.3∘ N, 76.0∘ W - 32.8∘ W] domain. Dispersion was modelled in a domain that covers the whole South American continent (domain [61.0∘ S -22.3∘ N, 91.3∘ W - 24.8∘ W]). Created for Tunnicliffe et al. (2020) and published as part of preprint "Enabling Fast Greenhouse Gas Emissions Inference from Satellites with GATES: a Graph-Neural-Network Atmospheric Transport Emulation System" (Fillola et al, 2025, egusphere-2025-2392, the code is hosted in github at https://github.com/elenafillo/GATES_LPDM_emulator). See Ganesan et al. (2017) for details on how they were generated. The datasets are provided as monthly netCDF arrays, which can be opened and explored in python using the xarray library. Each file contains backwards dispersion plumes (under variable "fp"), with the coordinates of the satellite measurement stored in the "release_lat" and "release_lon" variables. Fillola et al. (2025). Enabling Fast Greenhouse Gas Emissions Inference from Satellites with GATES: a Graph-Neural-Network Atmospheric Transport Emulation System. Preprint egusphere-2025-2392. https://doi.org/10.5194/egusphere-2025-2392 Tunnicliffe et al. (2020). Quantifying sources of Brazil's CH4 emissions between 2010 and 2018 from Satellite Data. Atmospheric Chemistry and Physics, 20(21), 13041–13067. https://doi.org/10.5194/acp-20-13041-2020 Ganesan et al. (2017): Atmospheric observations show accurate reporting and little growth in India's methane emissions, Nature Communications, 8, 836, https://doi.org/10.1038/s41467-017-00994-7