A Conceptual Model for the Hydrometeor Structure of Mesoscale Convective Systems during the MJO Active Stage Hannah C. Barnes Robert A. Houze, Jr. University.

Slides:



Advertisements
Similar presentations
Retrieval and Application of Raindrop Size Distributions From Polarimetric Radar and Disdrometer Data for Sub-synoptic Scale Systems Petar Bukovčić 1,3,4,
Advertisements

21 September th Southwest Hydrometeorology Symposium, Tucson, AZ Future QPE: Dual-Pol and Gap-Filler Radars Kevin Scharfenberg University of Oklahoma/CIMMS.
Rainfall Monitioring Using Dual-polarization Radars Alexander Ryzhkov National Severe Storms Laboratory / University of Oklahoma, USA.
New Concepts in Utilization of Polarimetric Weather Radars Alexander Ryzhkov (CIMMS) February 25–27, 2015 National Weather Center Norman, Oklahoma.
Precipitation Over Continental Africa and the East Atlantic: Connections with Synoptic Disturbances Matthew A. Janiga November 8, 2011.
The Convective Cloud Population during the Buildup of the Madden- Julian Oscillation AGU Fall Meeting, San Francisco, 7 December 2011 R. Houze, S. Brodzik,
Severe Convection and Mesoscale Convective Systems R. A. Houze Lecture, Summer School on Severe and Convective Weather, Nanjing, 11 July 2011.
Structure of mid-latitude cyclones crossing the California Sierra Nevada as seen by vertically pointing radar Socorro Medina, Robert Houze, Christopher.
Radar signatures in complex terrain during the passage of mid-latitude cyclones Socorro Medina Department of Atmospheric Sciences University of Washington.
Seminar, National Taiwan University, Taipei, 15 April 2011 Robert Houze University of Washington The tropical convective cloud population.
Scientific Objectives and Required Facilities Socorro Medina, Robert Houze, and Stacy Brodzik TIMREX Planning Meeting, Tainan, Taiwan, 9 November 2007.
What we have learned about Orographic Precipitation Mechanisms from MAP and IMPROVE-2: MODELING Socorro Medina, Robert Houze, Brad Smull University of.
Mesoscale Convective Systems: Recent Observational and Diagnostic Studies Robert Houze Department of Atmospheric Sciences University of Washington 10 th.
MAP and IMPROVE II Experimental Areas SHARE Workshop, Boulder, 5 May 2005.
The Effect of the Terrain on Monsoon Convection in the Himalayan Region Socorro Medina 1, Robert Houze 1, Anil Kumar 2,3 and Dev Niyogi 3 Conference on.
1 Cloud Dynamical and Microphysical Problems that Could be Addressed by an Integrated Remote Sensing System R. A. Houze Presented at NCAR CAPRIS Discussion,
Cirrus Production by a Mesoscale Convective System Sampled During TWP-ICE: Analysis via Water Budget Equations Jasmine Cetrone and Robert Houze University.
ASR Science Team Meeting, Bethesda, MD, 17 March 2010 R. Houze, C. Long, S. Medina, C. Zhang AMIE/CINDY/DYNAMO: Observations of the Madden-Julian Oscillation.
AMS 28th Conf. on Hurricanes & Tropical Meteorology Orlando, Florida - 29 April 2007 Convection in the Genesis Phase of Ophelia (2005) Wen-Chau Lee*Michael.
Convective Clouds Lecture Sequence Basic convective cloud types
Lessons learned in field studies about weather radar observations in the western US and other mountainous regions Socorro Medina and Robert Houze Department.
Mesoscale Convective Systems Robert Houze Department of Atmospheric Sciences University of Washington Nebraska Kansas Oklahoma Arkansas.
Cirrus Production by Tropical Mesoscale Convective Systems Jasmine Cetrone and Robert Houze University of Washington Motivation Atmospheric heating by.
The tropical convective cloud population Peking University Seminar, Beijing, 4 July 2011 Robert Houze University of Washington.
Principal Rainband of Hurricane Katrina as observed in RAINEX Anthony C. Didlake, Jr. 28 th Conference on Hurricanes and Tropical Meteorology April 29,
R. A. Houze, Jr., Socorro Medina, Ellen Sukovich, B. F. Smull University of Washington M. Steiner Princeton University Mechanisms of Orographic Precipitation.
Mesoscale Convective System Heating and Momentum Feedbacks R. Houze NCAR 10 July 2006.
Orographic triggering and mesoscale organization of extreme storms in subtropical South America Kristen Lani Rasmussen Robert A. Houze, Jr. ICAM 2013,
Wheeler and Hendon 2004 The MJO 7N Equator SKa NCAR S-PolKa Radar.
AGU Annual Meeting, San Francisco, 11 December 2013.
Remote-sensing of the environment (RSE) ATMOS Analysis of the Composition of Clouds with Extended Polarization Techniques L. Pfitzenmaier, H. Russchenbergs.
The MJO Precipitating Cloud Population over the Central Indian Ocean as seen by the TRMM PR Hannah C. Barnes Robert A. Houze, Jr. University of Washington.
The mesoscale organization and dynamics of extreme convection in subtropical South America Kristen Lani Rasmussen Robert A. Houze, Jr., Anil Kumar 2013.
Orographic Precipitation Enhancement in Midlatitude Baroclinic Storms: Results from MAP and IMPROVE II Robert A. Houze and Socorro Medina.
A Conceptual Model for the Hydrometeor Structure of Mesoscale Convective Systems during the MJO Active Stage Hannah C. Barnes Robert A. Houze, Jr. University.
Analysis of microphysical data in an orographic environment to evaluate a polarization radar-based hydrometeor classification scheme Sabine Göke, David.
Development of a fuzzy logic X-band hydrometeor identification algorithm Brenda Dolan and Steven Rutledge Colorado State University September 18, 2006.
Severe Convection and Mesoscale Convective Systems R. A. Houze Lecture, Indian Institute of Tropical Meteorology, Pune, 5 August 2010.
Radar Palet e Home Dual Polarized Analysis & Diagnosis 1 Precipitation Phase – Radar Signatures Radar characteristics of precipitation types –Stratiform.
Tropical Convection: A Half Century Quest for Understanding Bjerknes Memorial Lecture, AGU, San Francisco, 4 December 2012 Robert Houze University of Washington.
25N 30N 65E75E65E75E65E75E Height (km) 8 Distance (km)
S-Band Radar Dual-Polarization Observations of Winter Storms P. C. Kennedy and S. A. Rutledge CSU-CHILL Radar Facility.
Validation of the Simulated Microphysical Structure within the Midlevel Inflow Region of a Tropical, Oceanic Squall Line Hannah C. Barnes, Robert A. Houze.
The MJO Cloud Population over the Indian Ocean
Funded by NSF –Grant AGS Conceptual Model of Mesoscale Convective Systems (MCSs) ConvectiveStratiform TOGA COARE: 3D, layer airflow Kingsmill.
High-Resolution Simulation of Hurricane Bonnie (1998). Part II: Water Budget SCOTT A. BRAUN J. Atmos. Sci., 63,
MJO Insights from the S-PolKa radar in DYNAMO Robert A. Houze, Jr. H. C. Barnes, S. W. Powell, A. K. Rowe, M. Zuluaga University of Washington Symposium.
Cloud structure and organization under suppressed conditions during DYNAMO/AMIE/CINDY2011 Angela Rowe and Robert Houze, Jr. University of Washington 31.
Orographic Precipitation in Potentially Unstable Alpine Storms: MAP IOPs 2b, 3, and 5 Socorro Medina and Robert A. Houze.
Angela Rowe and Robert Houze, Jr. University of Washington 2015 US-Taiwan Extreme Precipitation and Weather Workshop Taipei, Taiwan 29 May 2015 Microphysical.
Understanding Convection in Relation to the Non-aerosol Environment ASR Science Team Meeting, Tyson’s Corner, VA, March 17, 2015 Robert Houze With help.
The Convective Cloud Population of the Madden- Julian Oscillation: Early Results from DYNAMO Int. Conf. on Opportunities and Challenges in Monsoon Prediction.
Kinematic, Microphysical, and Precipitation Characteristics of MCSs in TRMM-LBA Robert Cifelli, Walter Petersen, Lawrence Carey, and Steven A. Rutledge.
Floods in Pakistan and India 2010 Robert A. Houze, Jr. with S. Medina, U. Romatschke, K. Rasmussen, S. Brodzik, D. Niyogi, and A. Kumar Robert A. Houze,
Angela Rowe and Robert Houze, Jr. University of Washington ASR Fall Working Groups AMIE/MJO Breakout November 2013 Rockville, MD.
Angela Rowe Radar Breakout Session DYNAMO Workshop, Kona, Hawaii 5 March 2013.
Relationships between total lightning activity, microphysics, and kinematics during the 24 September 2012 HyMeX MCS system J.-F. Ribaud, O. Bousquet and.
Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes.
Multisensor Investigation of Deep Convection AGU, San Francisco, 5 December 2012 Robert A. Houze, Jr., & Jian Yuan University of Washington.
Yumin Moon & David S. Nolan (2014)
By SANDRA E. YUTER and ROBERT A. HOUZE JR
The Microphysical Structure of Mesoscale Convective Systems
Conceptual Models of Tropical Cyclone Structures
Bodine, D. J., and K. L. Rasmussen, 2017
Microphysics of 2-Day Rain Events During the Active Stage
The use of multi-frequency radar measurements for investigating microphysical processes during DYNAMO/AMIE Angela Rowe and Robert Houze, Jr. University.
Dual-Aircraft Investigation of the Inner Core of Hurricane Nobert
Scott A. Braun, 2002: Mon. Wea. Rev.,130,
Braun, S. A., 2006: High-Resolution Simulation of Hurricane Bonnie (1998). Part II: Water Budget. J. Atmos. Sci., 63, Gamache, J. F., R. A. Houze.
Precipitation hydrometeor type
Presentation transcript:

A Conceptual Model for the Hydrometeor Structure of Mesoscale Convective Systems during the MJO Active Stage Hannah C. Barnes Robert A. Houze, Jr. University of Washington 31 st Conference on Hurricanes and Tropical Meteorology Town & Country Resort and Conference Center, San Diego, CA 2 April 2014 Funded by NSF –Grant AGS and DOE Grant DE-SC

Objective Characterize hydrometeor structure of MCSs Composite with respect to kinematic structure

Kinematic Structure of Mesoscale Convective Systems (MCSs) ConvectiveStratiform Moncrieff (1992): Layer airflow Kingsmill and Houze (1999): 3D structure

Addu Atoll Dual wavelength – Only using S-Band Single Doppler Dual-polarimetric – Particle Identification Algorithm (Vivekanandan et al., 1999) RHI sector and within 100 km NCAR SPolKa Radar

Case Selection SPolKa data during active phases Subjectively identify cases SPolKa radial velocity Layer lifting One per storm 25 Convective Cases 37 Stratiform Cases Convective: 24 Oct 2011 Stratiform: 23 December 2011 dBZ V r profile dBZ

Composite Structure X Scale Factor Z Scale Factor Radar Data 1.) Map kinematics and hydrometeors using radial velocity and PID 2.) Composite around layer lifting model Compositing Methodology

Heavy RainModerate RainLight Rain Graupel Rimed Aggregates Wet Aggregates Dry Aggregates Small Ice Crystals Horz. Oriented Ice Convective Updraft Composites

Dry Aggregates Graupel/Rimed Aggregates Heavy Rain Wet AggregatesModerate Rain Small Ice Crystals Light Rain Hydrometeor Organization in Convective Updrafts

Stratiform Stratiform with leading lineStratiform without leading line 23 December November 2011 dBZ

Stratiform with Leading Line Composites Heavy Rain Moderate RainLight Rain Graupel Rimed Aggregates Wet AggregatesDry Aggregates Small Ice Crystals Horz. Oriented Ice

Stratiform without Leading Line Composites Heavy Rain Light RainModerate Rain Graupel Rimed Aggregates Wet AggregatesDry AggregatesSmall Ice CrystalsHorz. Oriented Ice

Light Rain Graupel / Rimed Aggregates Wet Aggregates Horizontally Oriented Ice Dry Aggregates Small Ice Crystals 0˚C Moderate Rain Heavy Rain Hydrometeor Organization in Stratiform

Conclusions Hydrometeor organization consistent across MCS types Heating similar with and without leading line Interpretation of microphysical processes Comparison of model output and radar observations ConvectiveStratiform

Frequency of Occurrence Convective Updraft Inflow Stratiform with Leading Line Stratiform without Leading Line Graupel/Rimed Aggregates88%66%64% Heavy Rain92%11%14% Moderate Rain100%55%60% Light Rain72%100% Wet Aggregates92%100% Dry Aggregates100% Small Ice Crystals92%100%89% Horizontally-Oriented Ice Crystals 20%44%53%

Areal Coverage Convective Updraft Inflow Stratiform with Leading Line Stratiform without Leading Line Graupel/Rimed Aggregates2%0.3%0.5% Heavy Rain12%4%1% Moderate Rain16%5%6% Light Rain13%28%31% Wet Aggregates3%1%4% Dry Aggregates22%12%18% Small Ice Crystals12%26%18% Horizontally-Oriented Ice Crystals -2%

Distribution of Convective Polarimetric Variables Reflectivity Differential Reflectivity Temperature Linear Differential Reflectivity Correlation Coefficient Differential Reflectivity Specific Differential Phase GA HR MR LR WA DA SI HI

Distribution of Mid-Level Polarimetric Variables Reflectivity Temperature Linear Differential Reflectivity Correlation Coefficient Differential Reflectivity Specific Differential Phase GA HR MR LR WA DA SI HI

Confidence of PID PID interest value Likelihood of particle type Highest interest value chosen PID confidence Difference of 1 st and 2 nd largest interest values Larger difference = more confidence Convective Updraft Mid-Level Inflow with Leading Line

Mesoscale Modeling of Squall Line WRF Resolution: Outer – 9km, Inner – 3km Cu Param: Outer – KF, Inner – None MP Param: Both - Goddard PBL Param: Both – UW Forcing: ERAi 00 UTC 23 Dec – 00 UTC 25 Dec Reflectivity Zonal Wind

Distribution of Hydrometeor Mixing Ratio Zonal Wind and Reflectivity Rain Mixing Ratio Snow Mixing Ratio Cloud Mixing Ratio Graupel Mixing Ratio Ice Mixing Ratio

Convective Example Oct 24

Squall Example Nov 18

Differences in Graupel/Rimed Aggregates and Wet Aggregates in Mid-Level Inflow Cases Graupel Wet Aggregates Only