The Rapid Intensification of Hurricane Karl (2010): Insights from New Remote Sensing Measurements Anthony Didlake (NPP/GSFC),Gerry Heymsfield (GSFC), Paul.

Slides:



Advertisements
Similar presentations
First Flights of High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) During GRIP Lihua Li, Matt Mclinden, Martin Perrine, Lin Tian, Steve Guimond/
Advertisements

On the Rapid Intensification of Hurricane Wilma (2005) Hua Chen Committee members: Dr. Da-Lin Zhang (Advisor) Dr. James Carton Dr. Chuan Liu (Dean’s Representative)
Rappin et al. (2011) Paper Discussion Patrick Duran 1 of 22 Introduction Asymmetric Env.ConclusionsQuestionsSymmetric Env. The Impact of Outflow Environment.
Hurricane Frances. MODIS view of Hurricane Frances (Note that eye is present but clouds at base of eye make it look cloudy throughout)
Hurricane Imaging Radiometer (HIRAD)
Sensitivity of High-Resolution Simulations of Hurricane Bob (1991) to Planetary Boundary Layer Parameterizations SCOTT A. BRAUN AND WEI-KUO TAO PRESENTATION.
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,
E. C. Meyers, G. M. McFarquhar, B. F. Jewett, S. W. Nesbitt University of Illinois at Urbana-Champaign 11 May 2010 Vertical Velocity and Microphysical.
Summary of NOAA's 2010 Hurricane Field Program (IFEX) Robert Rogers – 2010 HFP Field Program Director 1.
Three-Dimensional Precipitation Structure of Tropical Cyclones AMS Hurricane and Tropical Meteorology Conference May 2nd, 2008 Deanna A. Hence and Robert.
August- September NSF NOAA NRL NCAR UW UM AGU, San Francisco, 12 December 2006.
USE OF HS3 DATA TO UNDERSTAND THE TROPICAL CYCLONE OUTFLOW LAYER John Molinari, Kristen Corbosiero, Stephanie Stevenson, and Patrick Duran University at.
Principal Rainband of Hurricane Katrina as observed in RAINEX Anthony C. Didlake, Jr. 28 th Conference on Hurricanes and Tropical Meteorology April 29,
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.
Spaceborne Weather Radar
Some Preliminary Modeling Results on the Upper-Level Outflow of Hurricane Sandy (2012) JungHoon Shin and Da-Lin Zhang Department of Atmospheric & Oceanic.
Evidence of Strong Updrafts in Tropical Cyclones using Combined Satellite, Lightning, and High-Altitude Aircraft Observations Christopher S. Velden*, Sarah.
High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) Status Stephen Guimond U. MD/ESSIC Lin Tian Morgan State Univ. James Carswell Remote Sensing.
G O D D A R D S P A C E F L I G H T C E N T E R Status of the HIWRAP and URAD Conical Scan Radars for Wind Measurements Gerald Heymsfield NASA/Goddard.
10-15% of eye trajectories escape into the eyewall with more frequent escapes during passes with stronger mesovortices along the eyewall edge Escape trajectories.
Chris Birchfield Atmospheric Sciences, Spanish minor.
The Rapid Intensification of Hurricane Karl (2010): Insights from New Remote Sensing Measurements Collaborators: Anthony Didlake (NPP/GSFC),Gerry Heymsfield.
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.
Remote Sensing and Modeling of Hurricane Intensification Steve Guimond and Jon Reisner Atmospheric Dynamics EES-2 FSU.
NASA GRIP 2010 Brief status report Ed Zipser, Univ. of Utah, Salt Lake City, UT on behalf of the GRIP Science Team.
Sensitivity of Tropical Cyclone Inner-Core Size and Intensity to the Radial Distribution of Surface Entropy Flux Wang, Y., and Xu, 2010: Sensitivity of.
NASA’s Hurricane and Severe Storm Sentinel (HS3): Results from the 2012 Deployment and Plans for 2013 Scott Braun Paul Newman (NASA/GSFC) 3/5/201367th.
Observed Inner-Core Structural Variability in Hurricane Dolly Yu-Fen Huang Hendricks E. A., B. d. Mcnoldy, and Wayne H. Schubert.
Work summarized in collaboration with: Roger Smith, Jun Zhang, S. Braun, Jason Dunion On the dynamics of secondary eyewall formation in Hurricane Edouard.
Rapid Intensification of Hurricane Earl (2010): Vorticity and Mass Flux Budgets 1. Motivation: Various studies have emphasized the importance of different.
Methods for Introducing VHTs in Idealized Models: Retrieving Latent Heat Steve Guimond Florida State University.
High-Resolution Simulation of Hurricane Bonnie (1998). Part II: Water Budget Braun, S. A., 2006: High-Resolution Simulation of Hurricane Bonnie (1998).
3D Vortex and Warm Core Structure for Selected HS3 Cases Using NCAR- NOAA Dropsonde Data Jeffrey B. Halverson, P.I. UMBC Alex Martin, UMBC.
First Tropical Cyclone Overflights by the Hurricane Imaging Radiometer (HIRAD) Chris Ruf 1, Sayak Biswas 2, Mark James 3, Linwood Jones 2, Tim Miller 3.
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:
Jorgensen, D. P., 1984a: Mesoscale and convective-scale characteristics of mature Hurricanes. Part I: General observations by research aircraft. J. Atmos.
PI: Scott Braun Deputy PI: Paul Newman PM: Marilyn Vasques PS: Ramesh Kakar.
NASA Headquarters Update Ramesh Kakar Aqua Program Scientist June 28, 2011.
Ensemble Kalman filter assimilation of Global-Hawk-based data from tropical cyclones Jason Sippel, Gerry Heymsfield, Lin Tian, and Scott Braun- NASAs GSFC.
HS3 Review and Planning Meeting Scott Braun. Goals of Meeting Review 2012 campaign – Initial science results – Lessons learned Prepare for 2013 campaign.
1 Aircraft observations of the multiscale structure and evolution of rapidly intensifying tropical cyclones Robert Rogers 1, Paul Reasor 1, Jun Zhang 2,
Why is it important to HS3 science to estimate convective vertical velocity accurately? Ed Zipser and Jon Zawislak Dept. of Atmospheric Sciences University.
Intensity change and possible unusual eye wall replacement cycle of Edouard between 14 – 15 September 2014 Ed Zipser Department of Atmospheric Sciences.
High-Resolution Simulation of Hurricane Bonnie (1998). Part II: Water Budget SCOTT A. BRAUN J. Atmos. Sci., 63,
2015 HS3 Science Team Meeting Ames Research Center, Moffett Field, CA.
Meeting the challenge of obtaining and interpreting observations of deep convection in tropical disturbances and hurricanes by Ed Zipser, Jon Zawislak,
Science Questions What is role of hot towers in TC intensification and RI? Are they a cause of intensification or an effect? How does wind and temperature.
HOT TOWERS AND HURRICANE INTENSIFICATION Steve Guimond Florida State University.
Convective Oscillations in a Strongly Sheared Tropical Storm Jaclyn Frank and John Molinari The University at Albany, SUNY.
Dynamics and predictability of the rapid intensification of Hurricane Edouard (2014) Erin Munsell Summer 2015 Group Meeting August 17 th, 2015.
Multi-Scale Analysis of the Kinematic and Thermodynamic Structure of TS Humberto Using Dropsonde and Satellite Data Jeffrey B. Halverson, UMBC Alex Martin,
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,
HOT TOWERS AND HURRICANE INTENSIFICATION Steve Guimond Florida State University.
Microphysical-dynamical interactions in an idealized tropical cyclone simulation Stephen R. Herbener and William R. Cotton Colorado State University, Fort.
A Lagrangian Trajectory View on Transport and Mixing Processes between the Eye, Eyewall, and Environment Using a High-Resolution Simulation of Hurricane.
Evolution of Hurricane Isabel’s (2003) Vortex Structure and Intensity
Rosenstial School of Marine and Atmospheric Science
Yumin Moon & David S. Nolan (2014)
Methodology for 3D Wind Retrieval from HIWRAP Conical Scan Data:
A LATENT HEAT RETRIEVAL IN A RAPIDLY INTENSIFYING HURRICANE
Conceptual Models of Tropical Cyclone Structures
RAINEX briefing at the NOAA AOC in Tampa
Jennifer C. DeHart, Robert A. Houze, Jr., and Robert F. Rogers
Bell, M. M. , M. T. Montgomery, and W. -C
Comparison of secondary eyewall and principal rainband in Hurricane Rita (2005) Not a modeling study Several theories out there for secondary eyewall formation.
Tong Zhu and Da-Lin Zhang 2006:J. Atmos. Sci.,63,
Tong Zhu and Da-Lin Zhang
Scott A. Braun, 2002: Mon. Wea. Rev.,130,
Presentation transcript:

The Rapid Intensification of Hurricane Karl (2010): Insights from New Remote Sensing Measurements Anthony Didlake (NPP/GSFC),Gerry Heymsfield (GSFC), Paul Reasor (HRD) Steve Guimond (UMD/GSFC)

Outline Brief background on datasets used (HIWRAP, HAMSR, P3 TA) and Karl case. HIWRAP processing – 3DVAR wind retrieval algorithm – Error characteristics Simulated and flight-level data from HS3/NOAA coord. (2013) Understanding of Karl’s RI with remote sensing data – Answers to questions from HS3 inner-core part of proposal What is role of convective bursts in intensification? How do convective bursts form? Does warm-core development depend on bursts?

Remote Sensing Instruments 600 – 700 m (along-track) 150 m (gate spacing) 1 km retrieval products HIWRAP HAMSR From JPL NOAA P3 TA Radar Sensitive to Temp & Precipitation ~ 2 km resolution, ~ 60 km swath width From NOAA X-band large coverage area 2 km retrieval products

3D Least Squares and Variational Methods: Values of coefficients found by tuning to simulated and in situ data. Nonlinear minimization HIWRAP: Atmospheric Wind Retrievals Guimond et al. (2014) J. Atmos. Oceanic Technol., 31,

Error Characteristics  Simulated errors:  ~ 2.0 m/s for horizontal winds, ~ 1.0 m/s or less for vertical winds  Function of cross-track location: best at nadir.  In situ (NOAA P3 flight-level winds) errors:  IWRAP data (~ 7 % for horizontal winds, ~ 2.0 m/s for vertical winds)  HIWRAP data (9/25/2013 coordinated flight with NOAA43 during HS3) See Guimond et al. (2014) for simulated and in situ (IWRAP) error characteristics

HS3 Coordinated Flight

 Quality controlled  Keep data with time offset 5  N = ~ 5000  Ka band retrievals have slightly lower mean errors  Recommendation: use Ku band retrievals where dBZ > ~ 20 – 25 and Ka below All science results in this work use this partitioning

HIWRAP on Global Hawk Detects Karl (2010) Rapid Intensification 9/16 ~ 19 UTC – 9/17 08 UTC HIWRAP on Global Hawk Detects Karl (2010) Rapid Intensification 9/16 ~ 19 UTC – 9/17 08 UTC From NHC… 16 / 18 UTC 982 hPa 36 m/s hurricane 17 / 00 UTC 971 hPa 44 m/s 17 / 06 UTC 966 hPa 49 m/s 17 / 12 UTC 956 hPa 57 m/s

HIWRAP on Global Hawk Detects Karl (2010) Rapid Intensification 9/16 ~ 19 UTC – 9/17 08 UTC From NHC Global Hawk Observations Warm SSTs Low wind shear

HIWRAP on Global Hawk Detects Karl (2010) Rapid Intensification 9/16 ~ 19 UTC – 9/17 08 UTC From NHC

1845 Z 2215 Z 0145 Z 0600 Z NRL

HIWRAP Time Mean Structure  Ku Band Time Mean (12 – 13 h) Reflectivity and Wind Vectors  Only inner beam functional (~ 20 km swath surface)  Deep convective towers  down shear to down shear left (well known).  Very active pulsing for ~ 6 h between (~ 1800 – 0000 UTC). ~ 5 m/s 2 km 8 km Strongest Winds

Structure of Inner-Core: Pass 1 (1853–1919 UTC) 2 km height in down-shear left quadrant 30 – 40 m/s 10 – 20 m/s

Structure of Inner-Core: Pass 1 (1853–1919 UTC) 2 km Height Attenuation from bursts

Structure of Inner-Core: Pass 1 (1853–1919 UTC) Eye-Eyewall Interaction 10 – 15 m/s radial flow ~ 10 m/s updraft

Structure of Inner-Core: Pass 2 (1938–1957 UTC) 2 km height in down/up-shear left quadrant

Structure of Inner-Core: Pass 2 (1938–1957 UTC) Ku band reflectivity at nadir center

Structure of Inner-Core: Pass 2 (1938–1957 UTC) Storm-relative radial wind at nadir

Structure of Inner-Core: Pass 2 (1938–1957 UTC) Vertical wind at nadir Convective induced descent

Structure of Inner-Core: Pass 3 (2009–2055 UTC) 30 – 40 m/s 10 – 20 m/s 2 km height in down-shear direction 20 – 30 m/s suspect ~ 40 m/s

Structure of Inner-Core: Pass 3 (2009–2055 UTC) center Ku band reflectivity at nadir

Structure of Inner-Core: Pass 3 (2009–2055 UTC) Convective descent weaker  burst in “blow up” stage Vertical wind at nadir

Structure of Inner-Core: Pass 3 (2009–2055 UTC) Storm-relative radial wind at nadir Warm anomaly air Significant eye-eyewall interaction Strong outflow

Structure of Inner-Core: ~2040 & 2042 UTC HIWRAP NOAA TA Reflectivity comparison

HIWRAP NOAA TA outflow inflow Storm relative radial wind comparison Structure of Inner-Core: ~2040 & 2042 UTC

HIWRAP NOAA TA Edge downdraft Vertical wind comparison Structure of Inner-Core: ~2040 & 2042 UTC

HIWRAP NOAA TA Edge downdraft Structure of Inner-Core: ~2040 & 2042 UTC

Convective Towers HIWRAP Time Series

HAMSR 54 GHz 750 hPa Courtesy of JPL GRIP PORTAL

Science Discussion GRIP inner-core data indicates… 1)Convective bursts forming through transport & converg. of warm anomaly air from eye to eyewall. 2)Turbulent mixing between eye/eyewall and convective descent responsible for carving out eye and intensifying warm core locally (large asymmetric component). 3)Symmetric and asymmetric projection of burst heating leads to symmetric vortex response, which includes symmetric intensification of warm core at later times. 4)Convective bursts are important for RI  Builds on prior work (Heymsfield et al.,Reasor et al., Molinari et al., Guimond et al., Rogers et al., Montgomery et al., Braun et al., etc…) Guimond et al. (2015) JAS, in preparation.

Acknowledgements Thanks to HIWRAP engineers – Matt McLinden, Lihua Li, Martin Perrine, Ed Zenker, Jaime Cervantes, Michael Coon Thanks to HAMSR engineers for L1 data Thanks to HS3 PIs (Scott Braun/Paul Newman)

HS3 Coordinated Flight  Quality controlled  Keep data with time offset 5  N = ~ 5000  Ka band retrievals have slightly lower mean errors  Recommendation: use Ku band retrievals where dBZ > ~ 20 – 25 and Ka below

HIWRAP: Atmospheric Wind Retrievals Traditional Least Squares Method ( Guimond et al. 2014): min

γ = 0.75, β = 6 For HIWRAP δ = ~ 3 – 4 sfc, ~ 1 15 km height FREE PARAMETERS HIWRAP: Atmospheric Wind Retrievals