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Sentinel-5p reveals unexplained large wildfire carbon emissions in the Amazon in 2024 - MaRDI portal

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Sentinel-5p reveals unexplained large wildfire carbon emissions in the Amazon in 2024

From MaRDI portal



DOI10.5281/zenodo.14770767Zenodo14770767MaRDI QIDQ6697451

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 30 January 2025

Copyright license: No records found.



Global daily IFS-COMPO atmospheric compossition model simulations (Huijnen et al., 2019; https://doi.org/10.5194/gmd-12-1725-2019) of carbon monoxide total columns (CO-TC) for August and September 2024. IFS-COMPO model resolution is 0.5 degrees. Model CO-TCs are collocated with Sentinel-5p CO-TCs which are resampled and averaged onto the IFS-COMPO model grid provided that at least 50% of the model grid is covered by Sentinel-5p CO-TC data (Douros et al., 2023; https://doi.org/10.5194/GMD-16-509-2023). Files include IFS-COMPO CO-TCs with and without applying the Sentinel-5p CO averaging kernel, the associated resampled and averaged Sentinel-5p CO-TCs and the differences between IFS-COMPO CO-TC (with averaging kernel) and Sentinel-5p CO-TC (data array names: model_kernel, model_ref, retrieval, retrieval_min_model_kernel). There are four different IFS-COMPO model simulations with different fire emission data databases. Each model simulation has its own identifyer: b2jj = GFAS fire emissions (Global Fire Assimilation System) b2ld = GFA fire emissions (Global Fire Atlas) b2mk = Technical University Dresden data-model fusion fire emissions b2my = optimized GFA fire emissions






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