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Polycrystal SnowfakesBuilding on the previous success of a mono-crystal snowflake growth model, a team of NASA researchers has invented and implemented a poly-crystal variant of the model to simulate simultaneous crystalline growth along lattices of different orientations. Inferring snowfall intensity and amount using remote sensing relies on knowing the scattering properties of snowing particles. However, these scattering properties depend strongly on the geometric shapes of the snowing particles. Poly-crystal snow particles, such as bullet rosettes, appear frequently in nature. Simulating the growth of both mono-crystal and poly-crystal particles and obtaining accurate scattering properties are paramount for furthering accurate quantitative estimates of snowfalls.
Document ID
20170011360
Acquisition Source
Goddard Space Flight Center
Document Type
Presentation
Authors
Clune, Tom (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Kuo, Kwo-Sen (Bayesics, LLC Bowie, MD, United States)
Pelissier, Craig (Science Systems and Applications, Inc. Greenbelt, MD, United States)
Date Acquired
November 30, 2017
Publication Date
November 12, 2017
Subject Category
Computer Programming And Software
Meteorology And Climatology
Report/Patent Number
GSFC-E-DAA-TN49487
Meeting Information
Meeting: The International Conference for High Performance Computing, Networking, Storage and Analysis (SC 17)
Location: Denver, CO
Country: United States
Start Date: November 12, 2017
End Date: November 17, 2017
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
CONTRACT_GRANT: NNG17HP01C
CONTRACT_GRANT: NNX17AE79A
Distribution Limits
Public
Copyright
Public Use Permitted.

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