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A New Tropical Cyclone Dynamic Initialization Technique Using High Temporal and Spatial Density Atmospheric Motion Vectors and Airborne Field Campaign DataBackground: Initialization of tropical cyclones in numerical weather prediction (NWP) systems is a great challenge: Mass-wind field balance; Secondary circulation and heating; Asymmetries. There can be large adjustments in structure and intensity in the first 24 hours if the initial vortex is not in balance: Spurious gravity waves; Spin-up (model and physics). Existing mesoscale NWP model TC (Tropical Cyclone) initialization strategies: Bogus vortex, cold start from global analyses; 3DVAR or 4DVAR, possibly with synthetic observations; EnKF (Ensemble Kalman Filter); Dynamic initialization. Dynamic initialization allows vortex to have improved balance and physics spin-up at the initial time (e.g., Hendricks et al. 2013, 2011; Nguyen and Chen 2011; Fiorino and Warner 1981; Hoke and Anthes 1976). Himawari-8 geostationary satellite has capability of continuous imagery (10-minutes) over the full disk: New GOES-R satellites will have same capability. This will allow for unprecedented observations of tropical cyclones. However, current data assimila1on systems are not capable of ingesting such high temporal observations (Atmospheric Mo1on Vectors - AMVs). Hourly AMVs are produced, and thinned to 100-kilometer spacing in the horizontal. An entirely new data assimilation concept is required to utilize these observations.
Document ID
20170005503
Document Type
Presentation
Authors
Hendricks, Eric A. (Naval Postgraduate School Monterey, CA, United States)
Bell, Michael M. (Hawaii Univ. Honolulu, HI, United States)
Elsberry, Russell L. (Colorado Univ. Colorado Springs, CO, United States)
Velden, Chris S. (Wisconsin Univ. Madison, WI, United States)
Cecil, Dan (NASA Marshall Space Flight Center Huntsville, AL United States)
Date Acquired
June 12, 2017
Publication Date
April 18, 2016
Subject Category
Meteorology and Climatology
Report/Patent Number
MSFC-E-DAA-TN31535
Meeting Information
AMS Conference on Hurricanes and Tropical Meteorology(San Juan, PR)
Funding Number(s)
WBS: WBS 375837
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
remote sensing
wind
hurricane

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