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dc.contributor.authorHendricks, Eric A.
dc.contributor.authorBell, Michael M.
dc.contributor.authorElsberry, Russell L.
dc.contributor.authorVelden, Chris S.
dc.contributor.authorCecil, Dan
dc.dateApr 18, 2016en_US
dc.date.accessioned2018-09-27T00:06:29Z
dc.date.available2018-09-27T00:06:29Z
dc.date.issued2016-04
dc.identifier.other20170005503
dc.identifier.otherMSFC-E-DAA-TN31535
dc.identifier.urihttp://hdl.handle.net/10945/60088
dc.identifier.urihttps://ntrs.nasa.gov/search.jsp?R=20170005503
dc.description32nd AMS Conference on Hurricanes and Tropical Meteorology; 18-22 Apr. 2016; San Juan, PR; United Statesen_US
dc.description.abstractBackground: 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.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleA New Tropical Cyclone Dynamic Initialization Technique Using High Temporal and Spatial Density Atmospheric Motion Vectors and Airborne Field Campaign Dataen_US
dc.typePresentation
dc.contributor.corporateMarshall Space Flight Center
dc.subject.authorTROPICAL STORMSen_US
dc.subject.authorCYCLONESen_US
dc.subject.authorHURRICANESen_US
dc.subject.authorATMOSPHERIC CIRCULATIONen_US
dc.subject.authorNUMERICAL WEATHER FORECASTINGen_US
dc.subject.authorPREDICTION ANALYSIS TECHNIQUESen_US
dc.subject.authorMESOSCALE PHENOMENAen_US
dc.subject.authorTIME SERIES ANALYSISen_US
dc.subject.authorATMOSPHERIC DENSITYen_US
dc.subject.authorFLUX DENSITYen_US
dc.subject.authorKALMAN FILTERSen_US
dc.subject.authorVORTICESen_US
dc.subject.authorGOES SATELLITESen_US
dc.subject.authorDATA SYSTEMSen_US
dc.subject.authorHURRICANEen_US
dc.subject.authorWINDen_US
dc.subject.authorREMOTE SENSINGen_US
dc.description.funderWBS 375837
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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