Jonathan Vigh NCAR Advanced Study Program Earth System Laboratory 1:30 PM Nov 16, 2011 Riehl Room 8 th Semiannual Joint CSU/NCAR/NOAA Hurricane Workshop.

Slides:



Advertisements
Similar presentations
Hurricanes and Climate Change: What do the Observations Show? Hurricanes and Climate Change: What do the Observations Show? 25 April 2012 Chris Landsea,
Advertisements

1 Severe Weather Response to Climate Change: The Expected and the Unexpected Regional Climate Research Section NCAR Earth System Laboratory NCAR is Sponsored.
Rappin et al. (2011) Paper Discussion Patrick Duran 1 of 22 Introduction Asymmetric Env.ConclusionsQuestionsSymmetric Env. The Impact of Outflow Environment.
Suzana J. Camargo Lamont-Doherty Earth Observatory Columbia University ANALYSIS OF 20 TH CENTURY ATLANTIC HURRICANE POTENTIAL INTENSITY AND TROPICAL CYCLONE.
New hurricane forecast products with more lead time for disaster preparation by electric utilities Iris Grossmann, PhD. With Phil Klotzbach, Ph.D. (Colorado.
The Impact of Ice Microphysics on the Genesis of Hurricane Julia (2010) Stefan Cecelski 1 and Dr. Da-Lin Zhang Department of Atmospheric and Oceanic Science.
Hurricane and Severe Storm Sentinel (HS3): 2014 Results Dr. Scott Braun, HS3 PI Paul Newman, HS3 Deputy PI NASA Goddard Space Flight Center IHC, Jacksonville,
Catrin Mills About me Atmospheric Scientist Postdoc fellow working with John Cassano In CIRES (Cooperative Institute for Research.
A Simplified Dynamical System for Understanding the Intensity-Dependence of Intensification Rate of a Tropical Cyclone Yuqing Wang International Pacific.
Tropical Cyclones and Climate Change – PhD Project Results from HiGEM High Resolution Climate Model Ray Bell Supervisors – Prof. Pier Luigi Vidale, Dr.
A Case Study of Hurricane Formation in Strong Shear: Claudette (2003) Kay Shelton University at Albany, SUNY.
CORP Symposium Fort Collins, CO August 16, 2006 Session 3: NPOESS AND GOES-R Applications Tropical Cyclone Applications Ray Zehr, NESDIS / RAMM.
WEST AFRICAN STORM TRACKS AND THEIR RELATIONSHIP WITH ATLANTIC TROPICAL CYCLONES Susanna Hopsch Department of Earth and Atmospheric Sciences University.
Hurricanes. And finally… JOURNAL COLLECTION How they develop What they’re like Where to find them Andrew or Isabel Important test and other information.
Convective-scale diagnostics Rob Rogers NOAA/AOML Hurricane Research Division.
Impact of the 4D-Var Assimilation of Airborne Doppler Radar Data on Numerical Simulations of the Genesis of Typhoon Nuri (2008) Zhan Li and Zhaoxia Pu.
Where Do the Hurricanes Come From?. Introduction A tropical cyclone is a rapidly- rotating storm system characterized by a low-pressure center, strong.
+ Effects of Climate Change on Ocean Storms Chloe Mawer.
North Carolina Coastal Lows Rick Neuherz Service Hydrologist NWS Wilmington NC.
Advanced Applications of the Monte Carlo Wind Probability Model: A Year 1 Joint Hurricane Testbed Project Update Mark DeMaria 1, Stan Kidder 2, Robert.
Advanced Applications of the Monte Carlo Wind Probability Model: A Year 2 Joint Hurricane Testbed Project Update Mark DeMaria 1, Robert DeMaria 2, Andrea.
NSF Hurricane Research National Science Foundation Pamela Stephens Geosciences Directorate.
Bias Corrections of Storm Counts from Best Track Data Chris Landsea, National Hurricane Center, Miami, USA Gabe Vecchi, Geophysical Fluid Dynamics Lab,
OPERATIONAL IMPLEMENTATION OF AN OBJECTIVE ANNULAR HURRICANE INDEX ANDREA B. SCHUMACHER 1, JOHN A. KNAFF 2, THOMAS A. CRAM 1, MARK DEMARIA 2, JAMES P.
Hurricane lecture for KMA Ed Szoke 1 October 20, 2004 Overview of 2004 Atlantic Hurricane Season Ed Szoke* NOAA Forecast Systems Laboratory Forecast Research.
April nd IBTrACS Workshop 1 Operational Procedures How can we build consistent, homogeneous, well- documented climate quality data?
On the Multi-Intensity Changes of Hurricane Earl (2010) Daniel Nelson, Jung Hoon Shin, and Da-Lin Zhang Department of Atmospheric and Oceanic Science University.
Benjamin A. Schenkel Lance F. Bosart, and Daniel Keyser University at Albany, State University of New York.
Jonathan Vigh NCAR Earth Systems Laboratory & Advanced Study Program Research Review 10:00 AM 27 May 2010 FL NCAR is sponsored by the National Science.
NASA GRIP 2010 Brief status report Ed Zipser, Univ. of Utah, Salt Lake City, UT on behalf of the GRIP Science Team.
Hurricane-Climate Research of Relevance to RPSEA NCAR Earth System Laboratory National Center for Atmospheric Research NCAR is Sponsored by NSF and this.
Importance to the Off-Shore Energy Industry James Done Chad Teer, Wikipedia NCAR Earth System Laboratory National Center for Atmospheric Research NCAR.
Improving SHIPS Rapid Intensification (RI) Index Using 37 GHz Microwave Ring Pattern around the Center of Tropical Cyclones 65 th Interdepartmental Hurricane.
NCAR Undergraduate Leadership Workshop. What is NCAR?  National Center for Atmospheric Research  Located in Boulder Colorado  Managed by University.
PREDICTABILITY OF WESTERN NORTH PACIFIC TROPICAL CYCLONE EVENTS ON INTRASEASONAL TIMESCALES WITH THE ECMWF MONTHLY FORECAST MODEL Russell L. Elsberry and.
Identifying Tropical Cyclones in Model Simulations Asuka Suzuki-Parker NCAR Earth System Laboratory National Center for Atmospheric Research NCAR is Sponsored.
Eye Formation and Warm Rings Jonathan L. Vigh Colorado State University 3:55 PM Wednesday August 26, 2009 Joint Informal NCAR-MMM/CSU/CIRA Hurricane Symposium.
Development of Probabilistic Forecast Guidance at CIRA Andrea Schumacher (CIRA) Mark DeMaria and John Knaff (NOAA/NESDIS/ORA) Workshop on AWIPS Tools for.
The Impact of Lightning Density Input on Tropical Cyclone Rapid Intensity Change Forecasts Mark DeMaria, John Knaff and Debra Molenar, NOAA/NESDIS, Fort.
The Potential for Improved Short-term Atlantic Hurricane Intensity Forecasts Using Recon-based Core Measurements Andrew Murray, Robert Hart,
Atlantic Simplified Track Model Verification 4-year Sample ( ) OFCL shown for comparison Forecast Skill Mean Absolute Error.
Tie Yuan and Haiyan Jiang Department of Earth & Environment, FIU, Miami, Florida Margie Kieper Private Consultant 65 th Interdepartmental Hurricane Conference.
Can Dvorak Intensity Estimates be Calibrated? John A. Knaff NOAA/NESDIS Fort Collins, CO.
Tropical Cyclone Rapid Intensity Change Forecasting Using Lightning Data during the 2010 GOES-R Proving Ground at the National Hurricane Center Mark DeMaria.
Operational Uses for an Objective Overshooting Top Algorithm Sarah A. Monette* #, Wayne Feltz*, Chris Velden*, and Kristopher Bedka^ Cooperative Institute.
John Kaplan (NOAA/HRD), J. Cione (NOAA/HRD), M. DeMaria (NOAA/NESDIS), J. Knaff (NOAA/NESDIS), J. Dunion (U. of Miami/HRD), J. Solbrig (NRL), J. Hawkins(NRL),
Attributing tropical cyclogenesis to equatorial waves in the western North Pacific Lin Ching 2013/12/17 Schreck, C.J. III, J. Molinari, and K.I. Mohr,
Development of a Rapid Intensification Index for the Eastern Pacific Basin John Kaplan NOAA/AOML Hurricane Research Division Miami, FL and Mark DeMaria.
Improved Statistical Intensity Forecast Models: A Joint Hurricane Testbed Year 2 Project Update Mark DeMaria, NOAA/NESDIS, Fort Collins, CO John A. Knaff,
Enhancement of SHIPS RI Index Using Satellite 37 GHz Microwave Ring Pattern: A Year-2 Update 67 th IHC/Tropical Cyclone Research Forum March 5-7, 2013.
2015 HS3 Science Team Meeting Ames Research Center, Moffett Field, CA.
NSF Hurricane Research National Science Foundation.
TC Projects Joint Hurricane Testbed, Surface winds GOES-R, TC structure – TC Size TPW & TC size (Jack Dostalek) IR climatology – RMW/wind profile Proving.
The National Hurricane Center GOES-R Proving Ground Mark DeMaria NOAA/NESDIS, Fort Collins, CO GLM Science Meeting, Huntsville, AL September 26,
Analysis of Typhoon Tropical Cyclogenesis in an Atmospheric General Circulation Model Suzana J. Camargo and Adam H. Sobel.
Andrea Schumacher, CIRA/CSU, Fort Collins, CO Mark DeMaria and John Knaff, NOAA/NESDIS/StAR, Fort Collins, CO NCAR/NOAA/CSU Tropical Cyclone Workshop 16.
Lesson 67: Hurricane! Extreme Physical Change.
AOML Research Review Postmortem Robert Atlas Atlantic Oceanographic and Meteorological Laboratory May 1, 2012 Welcome and introduction.
ESSL Holland, CCSM Workshop 0606 Predicting the Earth System Across Scales: Both Ways Summary:Rationale Approach and Current Focus Improved Simulation.
Weather & Climate. Weather & Climate Definitions Weather- “the state of the atmosphere with respect to heat or cold, wetness or dryness, calm or storm,
Revisiting the 26.5°C Sea Surface Temperature Threshold for Tropical Cyclone Development McTaggart-Cowan et al. (2015) Revisiting the 26.5°C Sea Surface.
General Direction of all storms
Andrea Schumacher1, M. DeMaria2, and R. DeMaria1
Seoul National University
Kerry Emanuel Lorenz Center Massachusetts Institute of Technology
Using Lightning Data to Monitor the Intensification of Tropical Cyclones in the Eastern North Pacific By: Lesley Leary1, Liz Ritchie1, Nick Demetriades2,
Predictability of Tropical Cyclone Intensity
The Tropical Cyclone Observations-Based Structure Database (TC-OBS)
McTaggart-Cowan et al. (2015)
Verification of Tropical Cyclone Forecasts
Presentation transcript:

Jonathan Vigh NCAR Advanced Study Program Earth System Laboratory 1:30 PM Nov 16, 2011 Riehl Room 8 th Semiannual Joint CSU/NCAR/NOAA Hurricane Workshop Fort Collins, Colorado This presentation has been modified somewhat from what was presented following the feedback received. 1 NCAR is sponsored by the National Science Foundation Hurricane Rina near the time of eye formation.

Majority of storms form eyes within 2 days of becoming a TS Relatively fewer # of storms take much longer to form their eyes Physical interpretation Storms form an eye as soon as they are able to Many storms undergo genesis under environmental favorable conditions -> the development of an eye happens sooner rather than later In this view, eye formation can be considered the final stage of the genesis process 2

Rapid Intensification (RI25) onset defined here as a 25-kt increase in Best Track intensity over a 24-hr period Note: this is lower than some other thresholds. Standard threshold is normally 30 kt. End of RI25 is set at the last time point that the intensification rate criterion is satisfied Time of eye formation is taken to be the first fix in which an aircraft observed an eye Eye formation cases stratified by longevity and persistence of the initial eyes 3

138 out of 310 TCs in Atlantic underwent RI % of all TCs (including depressions) Out of 70 eye-forming storms in well-observed aircraft sample, 52 underwent RI25 (74%) 9196 non-missing BT vmax points in the data set 613 were during RI25 periods (6.7%) 4

IVAN vmax change during RI: 65 length of RI period: 48.0 (0)Beginning of RI period #0: IVAN vmax = 50 (0)IVAN (0)IVAN (0)IVAN (0)IVAN (0)IVAN (0)IVAN (0)IVAN (0)IVAN (0)IVAN (0)End of RI period: #0: IVAN vmax = 110 (0) (0)IVAN vmax change during RI: 30 length of RI period: 30.0 (0)Beginning of RI period #1: IVAN vmax = 90 (0)IVAN (0)IVAN (0)IVAN (0)IVAN (0)IVAN (0)IVAN (0)IVAN (0)End of RI period: #1: IVAN vmax = 120 (0) (0)IVAN vmax change during RI: 25 length of RI period: 24.0 (0)Beginning of RI period #2: IVAN vmax = 120 (0)IVAN (0)IVAN (0)IVAN (0)IVAN (0)IVAN (0)IVAN (0)End of RI period: #2: IVAN vmax = 145 (0) (0)IVAN vmax change during RI: 25 length of RI period: 24.0 (0)Beginning of RI period #3: IVAN vmax = 25 (0)IVAN (0)IVAN (0)IVAN (0)IVAN (0)IVAN (0)End of RI period: #3: IVAN vmax = 50 5

Case Type# of cases# undergoing RI No aircraft data % No observed eye % Insufficient data 9 889% Eye already present % Rapid dissipation 17953% Intermittent formation241458% Delayed formation % Sustained formation % Open warm spot Closed warm spot First IR eye11691 Persistent eye80 70 Strong eye

7

8

9

10

11

12

13

RI25 onset occurred in 52 of the 70 eye-forming storms (74%) RI25 onset occurred BEFORE eye formation in 44 storms (84%) RI25 onset occurred AFTER eye formation in 8 storms (16%) RI25 ended BEFORE eye formation in 13 storms (25%) RI25 ended AFTER eye formation in 39 storms (75%) 14

RI25 often begins at the depression or minimal storm stage Eye formation often occurs during a period of rapid intensification at this lower threshold RI prediction methods based on TS may need to be revised to include depressions Results are consistent with Kaplan et al 2009 Their work shows that the higher thresholds of RI (RI30 and RI35) begin at higher intensities more typical of the median intensity at eye formation. 15

Expand analysis to RI30 and RI35 Also analyze intensification trends about simple intensity thresholds Determine role of environmental influence in eye formation and intensification Does the eye form merely because the storm is intensifying? Or does it assist in the intensification? Is it a stochastic (random) process – or a manifold attractor of the system? Examine Radius of Maximum Winds (RMW) What controls the RMW? Internal dynamics? Storm environment? Why do some storms intensify rapidly without contracting? Does the storm’s initial structure determine an upper bound on the maximum rate that it can intensify at? 16

17 The NESL Mission is: To advance understanding of weather, climate, atmospheric composition and processes; To provide facility support to the wider community; and, To apply the results to benefit society. NCAR is sponsored by the National Science Foundation