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.

Slides:



Advertisements
Similar presentations
Future Plans  Refine Machine Learning:  Investigate optimal pressure level to use as input  Investigate use of neural network  Add additional input.
Advertisements

Future Plans  Refine Machine Learning:  Investigate optimal pressure level to use as input  Investigate use of neural network  Add additional input.
Mesoscale Convective Vortices (MCVs) Chris Davis (NCAR ESSL/MMM and RAL) Stan Trier (NCAR ESSL/MMM) Boulder, Colorado 60-h Radar Composite Animation (00.
HEDAS ANALYSIS STATISTICS ( ) by Altug Aksoy (NOAA/AOML/HRD) HEDAS retrospective/real-time analyses have been performed for the years
Part 4. Disturbances Chapter 12 Tropical Storms and Hurricanes.
Relationships Between Eye Size and Intensity Changes of a N. Atlantic Hurricane Author: Stephen A. Kearney Mentor: Dr. Matthew Eastin, Central College.
Hurricanes and climate ATOC 4720 class22. Hurricanes Hurricanes intense rotational storm that develop in regions of very warm SST (typhoons in western.
Sensitivity of High-Resolution Simulations of Hurricane Bob (1991) to Planetary Boundary Layer Parameterizations SCOTT A. BRAUN AND WEI-KUO TAO PRESENTATION.
Deanna Hence, Robert Houze and Stacy Brodzik University of Washington Introduction Methodology Eyewall—All Overpasses Rainbands—All Overpasses Changes.
5/22/201563rd Interdepartmental Hurricane Conference, March 2-5, 2009, St. Petersburg, FL Experiments of Hurricane Initialization with Airborne Doppler.
Towards a Comprehensive Structure and Intensity Dataset Jonathan L. Vigh Colorado State University 11:00 AM Wednesday February 25, 2009 Joint Informal.
Microwave Imagery and Tropical Cyclones Satellite remote sensing important resource for monitoring TCs, especially in data sparse regions Passive microwave.
Kari Murray.  This article is extending on a 10-year climatological study done by Rose et al.  Rose et al. found that tornadoes most commonly occur.
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.
Hurricanes. And finally… JOURNAL COLLECTION How they develop What they’re like Where to find them Andrew or Isabel Important test and other information.
Exercise – Constructing a best track from multiple data sources NATIONAL HURRICANE CENTER JACK BEVEN WHERE AMERICA’S CLIMATE AND WEATHER SERVICES BEGIN.
Kenji KISHIMOTO Forecast Division Japan Meteorological Agency.
Analysis of High Resolution Infrared Images of Hurricanes from Polar Satellites as a Proxy for GOES-R INTRODUCTION GOES-R will include the Advanced Baseline.
How to get the most from the Internet briefings NWS Boise, Id.
ATMS 373C.C. Hennon, UNC Asheville Observing the Tropics.
Vortex Rossby Waves in Hurricanes Katrina and Rita (2005) Falko Judt and Shuyi S. Chen Rosenstiel School of Marine and Atmospheric Science, University.
Chris Birchfield Atmospheric Sciences, Spanish minor.
Tropical Meteorology I Weather Center Event #4 Tropical Meteorology What is Tropical Meteorology? – The study of cyclones that occur in the tropics.
April nd IBTrACS Workshop 1 Operational Procedures How can we build consistent, homogeneous, well- documented climate quality data?
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.
A Comparison of Two Microwave Retrieval Schemes in the Vicinity of Tropical Storms Jack Dostalek Cooperative Institute for Research in the Atmosphere,
A new implementation of TC-detect program with CCAM's output A new implementation of TC-detect program with CCAM's output Bui Hoang Hai Faculty of Meteorology,
Benjamin A. Schenkel University at Albany, State University of New York, and Robert E. Hart, The Florida State University 6th Northeast.
Modeling the upper ocean response to Hurricane Igor Zhimin Ma 1, Guoqi Han 2, Brad deYoung 1 1 Memorial University 2 Fisheries and Oceans Canada.
Observed Inner-Core Structural Variability in Hurricane Dolly Yu-Fen Huang Hendricks E. A., B. d. Mcnoldy, and Wayne H. Schubert.
Lightning Outbreaks in the Eyewall MET 614 Seminar Antti Pessi.
Hurricane Intensity Estimation from GOES-R Hyperspectral Environmental Suite Eye Sounding Fourth GOES-R Users’ Conference Mark DeMaria NESDIS/ORA-STAR,
Air-Sea Exchange in Hurricanes by Peter G. Black & Hurricane Intensity and Eyewall Replacement by Robert A. Houze Jr. Lynsie M. Schwerer Atmospheric Science.
The Re-analysis of Hurricane Andrew (1992) The Re-analysis of Hurricane Andrew (1992) Chris Landsea NOAA/Hurricane Research Division Miami, Florida, USA.
PREDICTABILITY OF WESTERN NORTH PACIFIC TROPICAL CYCLONE EVENTS ON INTRASEASONAL TIMESCALES WITH THE ECMWF MONTHLY FORECAST MODEL Russell L. Elsberry and.
Dual-Aircraft Investigation of the inner Core of Hurricane Norbert. Part Ⅲ : Water Budget Gamache, J. F., R. A. Houze, Jr., and F. D. Marks, Jr., 1993:
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.
The Potential for Improved Short-term Atlantic Hurricane Intensity Forecasts Using Recon-based Core Measurements Andrew Murray, Robert Hart,
Possible North Atlantic extratropical cyclone activity in a warmer climate Lanli Guo William Perrie Zhenxia Long Montreal 2012 Bedford Institute of Oceanography,
1 Aircraft observations of the multiscale structure and evolution of rapidly intensifying tropical cyclones Robert Rogers 1, Paul Reasor 1, Jun Zhang 2,
Simulation of the Impact of New Aircraft- and Satellite-Based Ocean Surface Wind Measurements on Estimates of Hurricane Intensity Eric Uhlhorn (NOAA/AOML)
Improved SFMR Surface Winds and Rain Rates Eric W. Uhlhorn NOAA/AOML/Hurricane Research Division Bradley W. Klotz University of Miami/RSMAS/CIMAS and HRD.
Application of T382 CFS Forecasts for Dynamic Hurricane Season Prediction J. Schemm, L. Long, S. Saha and S. Moorthi NOAA/NWS/NCEP October 21, 2008 The.
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),
2015 HS3 Science Team Meeting Ames Research Center, Moffett Field, CA.
Doppler Lidar Winds & Tropical Cyclones Frank D. Marks AOML/Hurricane Research Division 7 February 2007.
Second IBTrACS Workshop, April 2011, Honolulu, Hawaii 1 ESCAP/WMO Typhoon Committee Best Track Consolidation Meeting, Dec 2010 Hong Kong Summary.
The Controversy Regarding HS3 Surface Pressure Observations During The Rapid Intensification of Edouard on September Scott Braun NASA/GSFC.
Benjamin A. Schenkel University at Albany, State University of New York, and Robert E. Hart, The Florida State University 38 th.
Multi-Scale Analysis of the Kinematic and Thermodynamic Structure of TS Humberto Using Dropsonde and Satellite Data Jeffrey B. Halverson, UMBC Alex Martin,
Analysis of Typhoon Tropical Cyclogenesis in an Atmospheric General Circulation Model Suzana J. Camargo and Adam H. Sobel.
National Hurricane Center 2009 Forecast Verification James L. Franklin Branch Chief, Hurricane Specialist Unit National Hurricane Center 2009 NOAA Hurricane.
J. P. Kossin, 62 nd IHC, Charleston, SC An Objective Tool for Identifying Hurricane Secondary Eyewall Formation Jim Kossin and Matt Sitkowski Cooperative.
Identifying amplifying African waves from analysis of their temperature anomalies: how can the NAMMA aircraft, radiosonde and satellite data be merged.
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.
Satellite + Aircraft Tropical Cyclone Surface Wind Analysis Joint Hurricane Testbed.
INNER CORE STRUCTURE AND INTENSITY CHANGE IN HURRICANE ISABEL (2003) Shuyi S. Chen and Peter J. Kozich RSMAS/University of Miami J. Gamache, P. Dodge,
The “Perfect Storms” of 1991:
Chapter 12 Tropical Storms and Hurricanes
Training Session: Satellite Applications on Tropical Cyclones
Accounting for Variations in TC Size
The Tropical Cyclone Observations-Based Structure Database (TC-OBS)
WP-3D Orion Instrumentation
Training Session: Satellite Applications on Tropical Cyclones
Jennifer C. DeHart, Robert A. Houze, Jr. and Deanna A. Hence
Michael J. Brennan National Hurricane Center
台风的暖心结构与强度变化(1) 储可宽 组会.
Verification of Tropical Cyclone Forecasts
Dual-Aircraft Investigation of the Inner Core of Hurricane Nobert
Presentation transcript:

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 NASA/TCSP Grant NNG06GA54G and NSF Grant ATM

Structure and Intensity Dataset Progress Dataset Characteristics – Extensible, flexible, interoperable (netCDF!) – Designed to aggregate diverse information in time – A digital storm “wallet” for operational and research-grade data sources – Could “attach” 2D datasets (microwave, wind fields, etc.) – Will update in real-time Current contents of dataset – Best Track (track, intensity, MSLP, wind radii, etc.) – Full suite of VDM including many common remarks (over 100 variables) Future additions (immediate) – From subjective analysis of imagery: Time of low level convective ring observed in microwave (2000 – current) Time of cloud clearing for eye appearance in GOES-IR (1995 – current) – Extended Best Track dataset – SHIPS developmental dataset and operational diagnostics information – Ancillary structure data derived from HRD aircraft flight level dataset (secondary wind maxima, etc.) Further additions (eventually) – F-deck information Subjective Dvorak (eye definition) Objective Dvorak (temp of eye, temp of surrounding cloud tops, eye scene) Microwave (rain rate, wind radii) Radar (eye shape, eye wall coverage, concentricity radial winds, cloud height max, rain rate, trend of size and presentation) – Dropsondes

Vortex Data Message Format URNT12 KNHC header, office, transmission day/time VORTEX DATA MESSAGE AL stormid A. 06/17:07:10Z day/time of fix B. 15 deg 51 min N latitude of fix 081 deg 54 min W longitude of fix C. 850 mb 1398 m minimum height at standard level D. 49 kt estimate of maximum surface wind observed (visual or SFMR) E. 291 deg 8 nm bearing and range from center of maximum surface wind F. 031 deg 041 kt maximum flight level wind near center G. 293 deg 008 nm bearing and range from center of maximum flight level wind H. 997 mb minimum sea level pressure computed from dropsonde or extrapolated I. 16 C/ 1524 m maximum flight level temperature/altitude OUTSIDE eye J. 19 C/ 1521 m maximum flight level temperature/altitude INSIDE eye K. 16 C/ NA dew point temperature/sea surface temperature inside eye L. CLOSED eye character (closed wall, poorly defined, open SW) M. C18 eye shape/orientation/diameter (C18, CO8-14, E09/15/5) N /8 fix determined by/fix level O / 1 nm navigational accuracy/meteorological accuracy P. AF A PALOMA1 OB 08 aircraft number/wx mission identifier/stormname/ob/correction MAX FL WIND 41 KT NW QUAD 17:04:40 Z <- time of maximum wind noted with quadrant MAX OUTBOUND FL WIND 61 KT SE QUAD 17:11:40 Z <- if max outbound wind exceeds inbound MAX FL TEMP 20 C 129 / 07 NM FROM FL CNTR<- bearing and range if not within 5 nm of center

General Summary of Data 5498 vortex data messages (including non-unique corrections, duplicates) 4969 unique fixes 132 storms for which aircraft observed an eye (in all three basins) 112 storms in Atlantic basin # fixesflight leveleye Toutside TDP ft mb mb mb mb

Eye Formation Open Eyes Closed Eyes 2368 cases out of 4969 total cases (47.7%) had an aircraft-observed eye Criterion for eye formation cases: Atlantic basin only (excludes 2 storms) eye not already formed by first fix reformations not included <12 h between formation fix and previous fix Eye formation observed by aircraft in: 66 out of 112 storms (1.4% of all cases) 48 storms formed an open eye 18 storms formed a closed eye

Storms without eyes Storms with eyes

Wind Trend Methodology Reduce flight level winds to surface equivalents using Franklin et al. (2003) Select upper bound points by excluding all wind maxima which are relatively weaker than surrounding points Linearly interpolate the upper bound points to reference points for each 6-h period from 72-h before to 72-h after eye formation Compute actual trends for each 6-h period

Summary of actual trends

Warm Rings

Warm Ring Criteria 1.Aircraft must report a supplementary maximum flight level temperature more than 5 n mi from the flight level center 2.The supplementary maximum temperature must be at least 2◦C greater than the maximum temperature reported within 5 n mi of the center 3.The radius of the supplementary maximum temperature report must not exceed the eye radius by more than 3 n mi (it is permitted to be up to 3 n mi within the eye wall).

Warm Ring Statistics 615 candidate warm ring cases out of 4969 unique fixes in the dataset: 12.4 % of the total. 139 met the qualification for warm rings without the radius check, or 2.8 % of the total. 110 were qualified warm rings with the radius check, 2.2 % of the total. Barotropic calculation of Schubert et al. (2007) suggests that when the dynamical eye size (eye radius / minimum Rossby radius of deformation) is greater than 1.8, the subsidence near the eye wall will be twice as great as at the center. 439 cases had dynamically-large eyes (>1.8) : 8.8 % of total. Out of these, 21 were qualified warm rings (0.4 % of total, or 19% of the warm rings) 513 cases had dynamically-small eyes (<0.6), with less than 10% variation of subsidence: 10.3 % of total. Out of these, 15 were qualified warm rings (0.3 % of the total, or 13.6% of warm rings)

Conclusions – Eye Formation The eye is observed to form by aircraft at an average intensity of 54 kt (surface equivalent) and MSLP of 992 hPa. – The weakest storms to form an eye had an intensity of ~30-40 kt. – The strongest storms to not form an eye while under aircraft surveillance had intensities of ~75-80 kts (BT) or kt (FL). The intensification rate increases in the 24-h before eye formation, reaching a peak rate of +5.6 kt/6 h in the period just before the eye is observed. Intensification slows to +3.7 kt/6 h during the 12-h after the aircraft eye has been observed Schubert and Hack (1980) suggested that eye formation tends to stabilize the storm by removing diabatic heating from the high inertial stability of the core. These results suggest that this may be true in the short term.

Conclusions – Warm Rings Incidence of warm rings does not appear to be strongly related to dynamical eye size. Not for certain that these are “rings” instead of local asymmetric subsidence currents. Mixing, hydrometeor evaporation likely complicate picture. More detailed analysis from flight level dataset needed.

Comments and Questions

0) (0) There are 115 cases with concentric eyewalls that were detected by aircraft out of 4969 unique fixes in the dataset: 2.3 % of the total. (0) (0)) (0) There are 99 cases with a dew point depression greater than or equal to 15 degC out of 4969 unique fixes in the dataset: 2.0 % of the tota l. (0) There are 325 cases with a dew point depression less than or equal to 1 degC out of 4969 unique fixes in the dataset: 6.5 % of the total. (0) (0) There are 262 cases with a baroclinity greater than or equal to 10 degC out of 4969 unique fixes in the dataset: 5.3 % of the total. (0) (0) 16 storms exhibited a stadium effect. (0) There are 30 cases with pinhole eyes out of 2368 cases in which the storm had an eye: 1.3 % of the total. (0) There are 100 cases with very large eyes out of 2368 cases in which the storm had an eye: 4.2 % of the total. (0)