Using tandem active and passive satellite sensors (e.g., CALIPSO, CloudSat, GPM, MODIS, and geostationary satellites) and model data (e.g., GEOS-IT), this effort follows a similar methodology as described by Sauter and L’Ecuyer et al. 2017 and Sauter et al. 2019. This algorithm quantifies the aerosol redistribution and removal processes in the presence of tropical cyclone Lorenzo in 2019. Algorithm and analysis software is developed on two platforms: within the NASA Multi-Mission Algorithm and Analysis Platform (MAAP) system and concurrently developed using similar applications provided by the NASA Science Managed Cloud Environment (SMCE). The effectiveness of the algorithm development and analysis process will be evaluated to inform the applicability of these systems in planning the Atmosphere Observing System (AOS) mission architecture.
References:
Braun et al. 2022: Aerosol, Cloud, Convection, and Precipitation (ACCP) Science & Applications Narrative, https://aos.gsfc.nasa.gov/docs/ACCP_Science_Narrative-(Mar2022).pdf.
Sauter, K., and T. S. L’Ecuyer (2017): Observational evidence for the vertical redistribution and scavenging of Saharan dust by tropical cyclones, Geophys. Res. Lett., 44, 6421–6430, https://doi.org/10.1002/2017GL074166.
Sauter, K., L'Ecuyer, T. S., van den Heever, S. C., Twohy, C., Heidinger, A., & Wood, N. (2019). The observed influence of tropical convection on the Saharan dust layer. Journal of Geophysical Research-Atmospheres, 124, 10,896-10,912. https://doi.org/10.1029/2019JD031365.
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