104th AMS Annual Meeting

January 28 – February 1, 2024
Baltimore, MD and Online
The 104th Annual Meeting of the American Meteorological Society (AMS) provides an opportunity to bring together world-class experts on extreme weather and climate with researchers in the fields of water quality/scarcity, energy, food, and health/diseases. AOS science features in a number of talks during this meeting (https://annual.ametsoc.org/index.cfm/2024/).
Meeting Documents: 4

Deriving estimates of the storm-wide distribution of vertical wind speed w in convective storms from satellite microwave radiometer observations when radar-derived estimates of w are available over a small portion of the storm (as in the EarthCARE, AOS and INCUS missions)

Author(s): Ziad S. Haddad, JPL, san marino, CA; and S. C. Van Den Heever, S. Prasanth, S. W. Freeman, D. J. Posselt, G. Leung, and S. Hristova-Veleva
Date: 29-Jan-2024
Location: Hall E (100 Level, The Baltimore Convention Center)
Much progress has been made in the past decade in bringing satellite microwave radiometer observations of convective storms to bear on numerical weather prediction models. Several centers have implemented all-sky radiance assimilation schemes which try to reconcile the signatures of condensed water in the observed brightness temperatures with the synthetic atmospheric state (including condensed water fields) represented by the model.

Extending CF Conventions to Enhance data FAIRness for Atmospheric Composition Observations

Author(s): Sean Leavor, Atmospheric Science Data Center, Hampton, VA; and M. E. Buzanowicz, J. Kusterer, M. Shook, C. Gao, and M. Silverman
Date: 29-Jan-2024
Location: 336 (The Baltimore Convention Center)
The Hierarchical Data Format (HDF) and Network Common Data Form (NetCDF) are data file formats created to aid users in the creation or use of scientific data. These file formats are useful for handling large data volumes and hosting extensive metadata as global, group, or variable attributes and are popular with the modeling community.

Future Satellite Observations of Coupled Convection-Aerosol Processes from the NASA Atmosphere Observing System (AOS)

Author(s): Scott A. Braun, NASA Goddard Space Flight Center, Greenbelt, MD; and M. Mclinden, P. Kollias, H. Brogniez, T. Kubota, J. E. Yorks, T. Thorsen, D. J. Cecil, A. Bourassa, and L. Rieger
Date: 29-Jan-2024
Location: 329 (The Baltimore Convention Center)
Atmospheric convection plays a fundamental role in the vertical redistribution of atmospheric constituents (including aerosols), in driving atmospheric circulation, and in creating severe weather conditions that put life and property at risk. Cloud and precipitation processes in convection and their related release of latent heat are coupled to the rate of vertical air motion in convective updrafts and downdrafts, while the organization of vertical air motions in convection is intimately linked to the characteristics of the environment, including atmospheric stability, vertical wind shear, and to some extent ambient aerosols.

Toward a better ice cloud product for the next generation spaceborne radiometers

Author(s): Jie Gong, NASA, Greenbelt, MD; NASA, Greenbelt, MD; and D. L. Wu, I. Adams, R. Bennartz, R. Kroodsma, L. Ding, Y. Wang, and Y. Liu
Date: 29-Jan-2024
Location: Key 12 (Second Floor, Hilton Baltimore Inner Harbor)
A handful of new generation spaceborne radiometers (e.g., NASA's AOS radiometers, Earth Venture Instrument PolSIR, and ESA's AWS and ICI missions) will include new polarized sub-millimeter (sub-mm) channels around 325 and/or 664 GHz. Both the new frequencies and the polarization measurements contain ample ice microphysics information. In this presentation, I will present two ongoing efforts leveraging the airborne sub-mm radiometer measurements and artificial intelligence/machine learning (AI/ML) techniques, which pave toward a promising future of bringing new cloud ice retrieval products for the next generation sub-mm and MW radiometers.