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Description

The dataset provides CO emissions from anthropogenic sources resulting from a global inversion of multispectral CO retrieval profiles (V9J) from the Measurements of Pollution in the Troposphere (MOPITT) presented in Gaubert et al., (2024). The analysis is performed using a quantile-conserving ensemble filter framework (QCEFF), specifically with a bounded normal rank histogram (BNRH) distribution for the prior, using the Data Assimilation Research Testbed (DART). The posterior emissions are derived on the global Community Atmosphere Model with Chemistry (CAM-Chem) model grid at the horizontal resolution is 0.9° latitude by 1.25° longitude. The prior emissions are CAMS-GLOB-ANT version 5.3 (Soulié et al., 2024) and the Fire Inventory from NCAR version 2.5 (Wiedinmyer et al., 2023).

Gaubert, B., Anderson, J. L., Trudeau, M., Smith, N., McKain, K., Pétron, G., et al. (2024). Nonlinear and non‐Gaussian ensemble assimilation of MOPITT CO. Journal of Geophysical Research: Atmospheres, 129, e2023JD040647. https://doi.org/10.1029/2023JD040647
Soulie, A., Granier, C., Darras, S., Zilbermann, N., Doumbia, T., Guevara, M., Jalkanen, J.-P., Keita, S., Liousse, C., Crippa, M., Guizzardi, D., Hoesly, R., and Smith, S. J.: Global anthropogenic emissions (CAMS-GLOB-ANT) for the Copernicus Atmosphere Monitoring Service simulations of air quality forecasts and reanalyses, Earth Syst. Sci. Data, 16, 2261–2279, https://doi.org/10.5194/essd-16-2261-2024, 2024.
Wiedinmyer, C., Kimura, Y., McDonald-Buller, E. C., Emmons, L. K., Buchholz, R. R., Tang, W., Seto, K., Joseph, M. B., Barsanti, K. C., Carlton, A. G., and Yokelson, R.: The Fire Inventory from NCAR version 2.5: an updated global fire emissions model for climate and chemistry applications, Geosci. Model Dev., 16, 3873–3891, https://doi.org/10.5194/gmd-16-3873-2023, 2023.
Date made availableOct 2 2024
PublisherZenodo
Temporal coverageJan 1 2000 - Dec 31 2021
Geographical coverageglobal

Funding

This dataset was supported by NOAA's Climate Program Office's ​Atmospheric Chemistry, Carbon Cycle, and Climate program​, Grant #NA18OAR4310283

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