Community Challenges and Prospects in the Operational Forecasting of Extreme Biomass Burning Smoke
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Date
2021-10-12
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Citation of Original Publication
J. S. Reid et al., "Community Challenges and Prospects in the Operational Forecasting of Extreme Biomass Burning Smoke," 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 903-906, doi: 10.1109/IGARSS47720.2021.9555160.
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This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
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Abstract
Various forms of global compositional forecasting are now commonplace across the world's operational centers. Biomass burning smoke is often forecast just like other aspects of our weather to support numerous applications such as air quality, transportation, and climate. Recent developments in the field have been bolstered by a new generation of advanced satellite sensors and algorithms on an international constellation of geostationary and polar orbiting satellites. The academic community frequently solicits operational developers for input on development needs and what should be operationalized. Yet, the volume of new data sources is currently outpacing Moore's Law and the forecasting community's ability to process and utilize new data sources data. Targeted to the academic community and using the 2020 western biomass-burning season as an example, this presentation will provide a brief review of how developers view next generation products for use in coupled observational and data assimilation systems that may be required to meet challenges posed by global extreme smoke event forecasting.