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Community Challenges and Prospects in the Operational Forecasting of Extreme Biomass Burning Smoke
Conference proceeding

Community Challenges and Prospects in the Operational Forecasting of Extreme Biomass Burning Smoke

Jeffrey S Reid, Angela Benedetti, Peter Calarco, Thomas Eck, Amanda Gumber, Brent N Holben, Robert Holz, Edward J Hyer, Willem Marais, Jeff McQueen, …
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp.903-906
07/11/2021
DOI: 10.1109/IGARSS47720.2021.9555160
url
http://hdl.handle.net/11603/25784View
Open Access

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.
air quality Fire forecasting Geoscience and remote sensing Moore's Law Orbits Satellites Semiconductor device modeling smoke Transportation Weather forecasting

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