Convection and Shear Flow in TC Development and Intensification

Similar documents
Convection and Shear Flow in TC Development and Intensification

Predicting Tropical Cyclone Formation and Structure Change

The Extratropical Transition of Tropical Cyclones

Vortex Rossby Waves and Hurricane Evolution in the Presence of Convection and Potential Vorticity and Hurricane Motion

Evolution of Tropical Cyclone Characteristics

DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited.

Advanced Numerical Methods for NWP Models

DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited.

Super-Parameterization of Boundary Layer Roll Vortices in Tropical Cyclone Models

Super-Parameterization of Boundary Layer Roll Vortices in Tropical Cyclone Models

Understanding Near-Surface and In-Cloud Turbulent Fluxes in the Coastal Stratocumulus-Topped Boundary Layers

Influences of Asymmetric Flow Features on Hurricane Evolution

PIPS 3.0. Pamela G. Posey NRL Code 7322 Stennis Space Center, MS Phone: Fax:

Observed Structure and Environment of Developing and Nondeveloping Tropical Cyclones in the Western North Pacific using Satellite Data

Real-Time Environmental Information Network and Analysis System (REINAS)

Report Documentation Page

Understanding Near-Surface and In-cloud Turbulent Fluxes in the Coastal Stratocumulus-topped Boundary Layers

Analysis of Data From TCS-08

MONSOON DISTURBANCES OVER SOUTHEAST AND EAST ASIA AND THE ADJACENT SEAS

Use of Wijsman's Theorem for the Ratio of Maximal Invariant Densities in Signal Detection Applications

Marginal Sea - Open Ocean Exchange

LAGRANGIAN MEASUREMENTS OF EDDY CHARACTERISTICS IN THE CALIFORNIA CURRENT

Analysis of Mixing and Dynamics Associated with the Dissolution of Hurricane-Induced Cold Wakes

Crowd Behavior Modeling in COMBAT XXI

An Observational and Modeling Study of Air-Sea Fluxes at Very High Wind Speeds

P. Kestener and A. Arneodo. Laboratoire de Physique Ecole Normale Supérieure de Lyon 46, allée d Italie Lyon cedex 07, FRANCE

Scattering of Internal Gravity Waves at Finite Topography

Sensitivity of West Florida Shelf Simulations to Initial and Boundary Conditions Provided by HYCOM Data-Assimilative Ocean Hindcasts

Analysis of South China Sea Shelf and Basin Acoustic Transmission Data

Characterization of Caribbean Meso-Scale Eddies

Typhoon-Ocean Interaction: The Ocean Response to Typhoons, and Its Feedback to Typhoon Intensity Synergy of Observations and Model Simulations

Improvement of Mesoscale Numerical Weather Prediction For Coastal Regions of Complex Terrain FY2003

REGENERATION OF SPENT ADSORBENTS USING ADVANCED OXIDATION (PREPRINT)

Closed-form and Numerical Reverberation and Propagation: Inclusion of Convergence Effects

A report (dated September 20, 2011) on. scientific research carried out under Grant: FA

Diagonal Representation of Certain Matrices

FRACTAL CONCEPTS AND THE ANALYSIS OF ATMOSPHERIC PROCESSES

High-Fidelity Computational Simulation of Nonlinear Fluid- Structure Interaction Problems

NRL Modeling in Support of ASAP MURI 2006 Experiment in the Monterey Bay

Surface Fluxes and Wind-Wave Interactions in Weak Wind Conditions

System Reliability Simulation and Optimization by Component Reliability Allocation

Models of Marginal Seas Partially Enclosed by Islands

High Resolution Surface Characterization from Marine Radar Measurements

NAVGEM Platform Support

Estimation of Vertical Distributions of Water Vapor and Aerosols from Spaceborne Observations of Scattered Sunlight

SW06 Shallow Water Acoustics Experiment Data Analysis

Analysis Comparison between CFD and FEA of an Idealized Concept V- Hull Floor Configuration in Two Dimensions. Dr. Bijan Khatib-Shahidi & Rob E.

A 1/10th Degree Global Ocean Simulation Using the Parallel Ocean Program

Impact of Typhoons on the Western Pacific Ocean DRI: Numerical Modeling of Ocean Mixed Layer Turbulence and Entrainment at High Winds

Parameterizing the Effects of Upper-Ocean Large Eddies on Air-Sea Interaction

HYCOM Caspian Sea Modeling. Part I: An Overview of the Model and Coastal Upwelling. Naval Research Laboratory, Stennis Space Center, USA

Computer Simulation of Sand Ripple Growth and Migration.

An Examination of 3D Environmental Variability on Broadband Acoustic Propagation Near the Mid-Atlantic Bight

Report Documentation Page

Nonlinear Internal Waves: Test of the Inverted Echo Sounder

CRS Report for Congress

Ocean Acoustics Turbulence Study

ANALYSIS AND MODELING OF STRATOSPHERIC GRAVITY WAVE ACTIVITY ALONG ER-2 FLIGHT TRACKS

Report Documentation Page

Broadband matched-field source localization in the East China Sea*

THE DYNAMICS OF TROPICAL CYCLONES

Monsoon Disturbances Over Southeast and East Asia and the Adjacent Seas

Internal Waves and Mixing in the Aegean Sea

Hurricane Wave Topography and Directional Wave Spectra in Near Real-Time

Mine Burial Studies with a Large Oscillating Water-Sediment Tunnel (LOWST)

Metrology Experiment for Engineering Students: Platinum Resistance Temperature Detector

Development and Application of Acoustic Metamaterials with Locally Resonant Microstructures

Attribution Concepts for Sub-meter Resolution Ground Physics Models

Toward a Better Understanding of Ocean-Wave-Typhoon Interactions in the Western Pacific Ocean

Coastal Engineering Technical Note

THE EULER FUNCTION OF FIBONACCI AND LUCAS NUMBERS AND FACTORIALS

Quantitation and Ratio Determination of Uranium Isotopes in Water and Soil Using Inductively Coupled Plasma Mass Spectrometry (ICP-MS)

uniform distribution theory

Internal Tide Generation in the Indonesian Seas

Coupled Ocean-Atmosphere Modeling of the Coastal Zone

Ocean Model Development for COAMPS

DIRECTIONAL WAVE SPECTRA USING NORMAL SPREADING FUNCTION

Swash Zone Dynamics: Modeling and Data Analysis

Calculating Latent Heat Fluxes Over the Labrador Sea Using SSM/I Data

Investigation of the Air-Wave-Sea Interaction Modes Using an Airborne Doppler Wind Lidar: Analyses of the HRDL data taken during DYNAMO

Satellite Observations of Surface Fronts, Currents and Winds in the Northeast South China Sea

P1.21 Estimating TC Intensity Using the SSMIS and ATMS Sounders

Abyssal Current Steering of Upper Ocean Current Pathways in an Ocean Model with High Vertical Resolution

Coastal Mixing and Optics

Dynamics of Boundary Currents and Marginal Seas

Upper Ocean Measurements of Water Masses and Circulation in the Japan Sea

Report Documentation Page

7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. PERFORMING ORGANIZATION REPORT NUMBER

On Applying Point-Interval Logic to Criminal Forensics

Unified Cloud and Mixing Parameterizations of the Marine Boundary Layer: EDMF and PDF-Based Cloud Approaches

Improved Parameterizations Of Nonlinear Four Wave Interactions For Application In Operational Wave Prediction Models

Thermo-Kinetic Model of Burning for Polymeric Materials

Shelf And Slope Sediment Transport In Strataform

Exact Solution of a Constrained. Optimization Problem in Thermoelectric Cooling

Estimation of Vertical Distributions of Water Vapor from Spaceborne Observations of Scattered Sunlight

Determining the Stratification of Exchange Flows in Sea Straits

Myung-Sook Park, Russell L. Elsberry and Michael M. Bell. Department of Meteorology, Naval Postgraduate School, Monterey, California, USA

Sea Ice Model for Marginal Ice Zone

REPORT DOCUMENTATION PAGE

Regional Stratification and Shear of the Various Streams Feeding the Philippine Straits ESR Component

Transcription:

DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Convection and Shear Flow in TC Development and Intensification C.-P. Chang Department of Meteorology Naval Postgraduate School, Code MR/Cp Monterey, CA 93943 Telephone 831-656-2840, e-mail cpchang@nps.edu H.C. Kuo Department of Meteorology Naval Postgraduate School, Code MR/Cp Monterey, CA 93943 Telephone 831-656-2840, e-mail kuo@as.ntu.edu.tw C. H. Liu Department of Meteorology Naval Postgraduate School, Code MR/Cp Monterey, CA 93943 Telephone 831-656-2840, e-mail ching_hwang@yahoo.com Award # N0001410WX20619 LONG TERM GOALS To study the dynamic processes of tropical cyclone (TC) development in the western North Pacific through field observational data and theoretical modeling. OBJECTIVES The objectives are: (1) to study the convection and vorticity generations in the vortex environment that may lead to the development and intensification of TC; (2) to study the development and evolution of deep moist mesoscale convective system subject to strain effect due to the horizontal shear associated with the vortex rotation; (3) to study the offsetting between (1) and (2); (4) to study nonlinear interactions that may lead to additional strain effects that may impact on the convection in ways that are not yet known. APPROACH TCS-08 offers a unique opportunity to collect high resolution data of kinematic and thermodynamic fields to determine the filamentation time, which is a function of total deformations and vorticity. The NRL P-3 aircraft with ELDORA airborne radar made it possible to directly compute the filamentation time at the convection scale, allowing an investigation into the effect of filamentation of the re- 1

Report Documentation Page Form Approved OMB No. 0704-0188 Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. 1. REPORT DATE 30 SEP 2011 2. REPORT TYPE 3. DATES COVERED 00-00-2011 to 00-00-2011 4. TITLE AND SUBTITLE Convection and Shear Flow in TC Development and Intensification 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Naval Postgraduate School,Department of Meteorology,Code MR/Cp,Monterey,CA,93943 8. PERFORMING ORGANIZATION REPORT NUMBER 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR S ACRONYM(S) 12. DISTRIBUTION/AVAILABILITY STATEMENT Approved for public release; distribution unlimited 13. SUPPLEMENTARY NOTES 14. ABSTRACT 11. SPONSOR/MONITOR S REPORT NUMBER(S) 15. SUBJECT TERMS 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT a. REPORT unclassified b. ABSTRACT unclassified c. THIS PAGE unclassified Same as Report (SAR) 18. NUMBER OF PAGES 6 19a. NAME OF RESPONSIBLE PERSON Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18

intensification stage of Typhoon Sinlaku (2008). In 2010, we concentrate on the differentiation of the stratiform convection and cumulus convection from the Eldora radar data for Typhoon Sinlaku (2008) in the re-intensifying stage. RESULTS Our effort this year was to better understand the filamentation dynamics on different types of the convection in a re-intensifying stage of typhoon. We classified the convections in Typhoon Sinlaku (2008) into cumulus and stratiform forms. Figure 1 shows the east-west (Fig. 1a) and north-south (Fig. 1b) cross sections through the typhoon center. The high reflectivity extending to over 9 km height about 20km from the center characterized the inner core of the eyewall, and a stratiform area is identified in the south side of the typhoon (Fig 1b ) with a 20 dbz echo-top around 5km height. The hatched area plotted in Fig. 1 is the region of filamentation time smaller than 20 min, which is identified as the rapid filamentation zone and is clearly overlapped with convection. To classify the reflectivity into convective and stratiform regimes, we adapted the method proposed by Steiner et al. (1995) with some modifications. The classification of deep cumulus convection of their method is simple and straightforward, and is based on either 1) the reflectivity greater then 40dBZ, or 2) the difference between a grid point and its 11km background is greater than some threshold, then this grid point is classified as cumulus convection. Any reflectivity less than 10 dbz is excluded. All the other grid points are classified as stratiform convection. Neither the horizontal gradient nor the vertical structure of the reflectivity was considered in their method. An improvement of this method has been proposed by Bigerstaff and Listemaa (2000). Several detailed reflectivity structures, such as horizontal and vertical gradients and bright-band characteristics (Rosenfeld et al. 1995) were incorporated in their scheme. These investigators used NEXRAD data in their study. Note that the NEXRAD data suffers coarse resolution in range and limited elevations in the vertical direction. During TCS08, the ELDORA radar was able to provide better resolution in both horizontal and vertical directions. On the other hand, the ELDORA radar, as a X-band radar, suffers more attenuation than the S-band type of radar such as NEXRAD. To apply the radar convection classification scheme to the ELDORA radar data, some parameter adjustments is required. Therefore, we set the convective threshold to 30 dbz instead of 40 dbz and the background reflectivity range to 9km instead of 11 km used by Steiner et al. (1995). The convection types are determined from the working level, which was 1.5 km height near the radar and 3 km height away from radar in Steiner et al. (1995). In the present study we choose the 2.5km level as our working level. This level is lower than the 5 km bright-band region (Fig. 1b) to avoid the brightband contamination, and also sufficiently above the sea surface to avoid ground clutter contamination. Figure 2 shows the convective and stratiform regions classified at 2.5 km. The convective area identified is closely co-located with rainband structure and with stratiform convection next to it. Figure 2 clearly indicates the limited coverage of deep cumulus convective in the typhoon core region. Figure 3 shows the frequency distribution of the filamentation time (minute) for cumulus convection (strong convection) and stratiform convection (in general weak convection) between 2 km and 4 km heights. It suggests that in the eyewall region with intense convective forcing the suppression of vortex strain effect may be small but still systematic and conspicuous. The demarcation occurs at filamentation time ~ 19 min. In the spiral band region 200 km from the TC center, the suppression by the vortex straining effect and filamentation is quite effective so that deep cumulus strong convection 2

occurs much less frequently than the stratiform weak convection for filamentation time smaller than 24 min. Figure 1: The E-W (a) and N-S (b) reflectivity vertical cross sections through the center of Typhoon Sinlaku. The color bar shows the reflectivity values. The hatched area is the regions with filamentation time smaller than 20 min (rapid filamentation zone). 3

Figure 2: Reflectivity at 2.5km with cumulus (double hatched) and stratiform (single hatched) area.. 4

Figure 3: The frequency distribution of filamentation time (minute) for the convective (red) and stratiform (blue) reflectivity near the eye core region between 2 km and 4 km heights. The dashed line in the upper panel is the difference between the two. The unit is the same as the lower panel but the scale is shown at the upper right of the frame. IMPACT The vorticity generation by the convective systems and the upscale transfer of energy in the storm environment are important in TC genesis and intensification. The horizontal strain in the storm environment may enhance the cloud entrainment and organize the convection into banded structure. Previous analyses of filamentation dynamics were on strong TCs and many with concentric eyewalls. Our results are from high resolution aircraft data and applied to a weak but developing typhoon. Thus these results offer information on the mechanisms governing convection in the early stage of a TC, which is crucial in the study of TC intensifications. RELATED PROJECTS TCS08 projects led by Professors Russ Elsberry, Pat Harr and Michael Montgomery at NPS. SUMMARY The TCS-08 P3 radar data were used to identify the cumulus/stratiform convections and to compute the filamentation time scale in both the core region as well as the outer spiral rainband region in Typhoon 5

Sinlaku 2008. The results indicate that the filamentation process may suppress cumulus form deep convection more than the stratiform convection. This is especially pronounced in the outer spiral band region, which is 200 km from the center. The suppression is much more effective such that strong cumulus convection occurs about 50% less frequent than weak stratiform convection for filamentation time shorter than 24 min. The situation is reversed for filamentation time greater than 24 min. In the eyewall region where intense convective forcing is present, the effect of filamentation suppression on cumulus deep convection is about 10% and is systematic and conspicuous for filamentation times shorter than 19 min. REFERENCES Biggerstaff, M. I., and S. A. Listemaa 2000: An improved scheme for convective/stratiform echo classification using radar reflectivity. J. Appl. Meteor., 39, 2129-2150. Rosenfeld, D., E. Amitai, and D. B. Wolff, 1995: Classification of rain regimes by the threedimensional properties of reflectivity fields. J. Appl. Meteor., 34, 198 211. Rozoff, M. C., W. H. Schubert, B. D. McNoldy, and J. P. Kossin, 2006: Rapid filamentation zones in intense tropical cyclones. J. Atmos. Sci., 63, 325-340. Steiner, M., R. A. Houze Jr., and S. E. Yuter, 1995: Climatological characterization of threedimensional storm structure from operational radar and rain gauge data. J. Appl. Meteor., 34, 1978 2007. PUBLICATION Kuo, H.-C., C.-P. Chang, and C.-H. Liu, 2011: Convection and Shear Flow in Typhoon Development and Intensification: An Observation of Typhoon Silaku during TCS-08. Mon. Wea. Rev. (under revision). 6