Warning message

Member access has been temporarily disabled. Please try again later.
The website is undergoing a major upgrade that began Friday, October 11th at 5:00 PM PDT. The new upgraded site will be available no later than Monday, October 21st. Until that time, the current site will be visible but logins are disabled.

EXTREME BIOMASS BURNING SMOKE

Reid, J. S., A. Benedetti, P. R. Colarco, T. F. Eck, A. Gumber, B. Holben, R. Holz, E. Hyer, W. Marais, J. McQueen, S. Miller, M. M. Oo, J. Rubin, T. Tanaka, J. Wang, P. Xian, and J. Zhang (2022), EXTREME BIOMASS BURNING SMOKE, Community Challenges And Prospects In The Operational Forecasting Of, doi:10.1109/IGARSS47720.2021.9555160.
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.

PDF of Publication: 
Download from publisher's website.
Research Program: 
Interdisciplinary Science Program (IDS)
Radiation Science Program (RSP)