Bodine, D. J., and K. L. Rasmussen, 2017

Slides:



Advertisements
Similar presentations
Squall Lines Loosely defined: A line of either ordinary cells or supercells of finite length (10- hundreds of km) that may contain a stratiform rain region.
Advertisements

Impact of environmental moisture on intensification of Hurricane Earl (2010) Longtao Wu, Hui Su, and Robert Fovell HS3 Science Meeting May 2014.
Mesoscale Convective Vortices (MCVs) Chris Davis (NCAR ESSL/MMM and RAL) Stan Trier (NCAR ESSL/MMM) Boulder, Colorado 60-h Radar Composite Animation (00.
To perform statistical analyses of observations from dropsondes, microphysical imaging probes, and coordinated NOAA P-3 and NASA ER-2 Doppler radars To.
Weismann (1992) Weisman, M. L., 1992: The role of convectively generated rear- inflow jets in the evolution of long-lived mesoconvective systems. J. Atmos.
A WRF Simulation of the Genesis of Tropical Storm Eugene (2005) Associated With the ITCZ Breakdowns The UMD/NASA-GSFC Users' and Developers' Workshop,
Bow Echo Sensitivity to Ambient Moisture and Cold Pool Strength Richard P. James, Paul M. Markowski, and J. Michael Fritsch, 2006: Mon. Wea. Rev., 134,
Mesoscale Convective Systems Robert Houze Department of Atmospheric Sciences University of Washington Nebraska Kansas Oklahoma Arkansas.
2.6 Mesoscale Convective Systems Tropics are dominated by MCSs Consist of an amalgamation of individual clouds that form one coherent system – have convective.
Section 3.5, 3.5a, 3.5b Overview For Storm-generated Mesoscale processes 1.Local Effects 2.Advective Effects.
Orographic triggering and mesoscale organization of extreme storms in subtropical South America Kristen Lani Rasmussen Robert A. Houze, Jr. ICAM 2013,
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.
Bow Echoes By Matthieu Desorcy.
Climate model grid meshes are too coarse to explicitly simulate storm system winds and therefore must rely on simplified models referred to as parameterizations.
Impact of Graupel Parameterization Schemes on Idealized Bow Echo Simulations Rebecca D. Adams-Selin Adams-Selin, R. D., S. C. van den Heever, and R. D.
Printed by Investigating Rapid Storm Intensification Mechanisms Including the Role of Storm Mergers in the 22 May 2011 Joplin, MO.
Case Study Example 29 August 2008 From the Cloud Radar Perspective 1)Low-level mixed- phase stratocumulus (ice falling from liquid cloud layer) 2)Brief.
A Conceptual Model for the Hydrometeor Structure of Mesoscale Convective Systems during the MJO Active Stage Hannah C. Barnes Robert A. Houze, Jr. University.
Momentum Budget of a Squall Line with Trailing Stratiform Precipitation: Calculation with a High-Resolution Numerical Model. Yang, M.-J., and R. A. Houze.
Severe Convection and Mesoscale Convective Systems R. A. Houze Lecture, Indian Institute of Tropical Meteorology, Pune, 5 August 2010.
High-Resolution Simulation of Hurricane Bonnie (1998). Part II: Water Budget Braun, S. A., 2006: High-Resolution Simulation of Hurricane Bonnie (1998).
Deep Convection Ordinary Cells Multicell storms Supercells.
Orographic Modification of Convection and Flow Kinematics by the Oregon Coast Range and Cascades during IMPROVE-2 Reporter: Prudence Chien 2010/03/08 Reference:
Funded by NSF –Grant AGS Conceptual Model of Mesoscale Convective Systems (MCSs) ConvectiveStratiform TOGA COARE: 3D, layer airflow Kingsmill.
Sensitivity of Squall-Line Rear Inflow to Ice Microphysics and Environmental Humidity Ming-Jen Yang and Robert A. House Jr. Mon. Wea. Rev., 123,
High-Resolution Simulation of Hurricane Bonnie (1998). Part II: Water Budget SCOTT A. BRAUN J. Atmos. Sci., 63,
Mesoscale Convective Systems 1 Weather Systems – Fall 2015 Outline: definitions and dynamics.
Cheng-Zhong Zhang and Hiroshi Uyeda Hydroshperic Atmospheric Research Center, Nagoya University 1 November 2006 in Boulder, Colorado Possible Mechanism.
Mesovortices within the 8 May 2009 Bow Echo over the Central United States: Analyses of the Characteristics and Evolution Based on Doppler Radar Observations.
Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes.
Mesoscale Convective Systems. Definition Mesoscale convective systems (MCSs) refer to all organized convective systems larger than supercells Some classic.
Sensitivity to the Representation of Microphysical Processes in Numerical Simulations during Tropical Storm Formation Penny, A. B., P. A. Harr, and J.
Daniel M. Alrick 14th Cyclone Workshop Monday, September 22, 2008
Paper Review Jennie Bukowski ATS APR-2017
WRF model runs of 2 and 3 August
Yumin Moon & David S. Nolan (2014)
Dynamics of Thunderstorms Part 1: Downdraft Organization Lecture 12a
GEORGE H. BRYAN AND HUGH MORRISON
Simulation of the Arctic Mixed-Phase Clouds
Water Budget of Typhoon Nari(2001)
Coupled atmosphere-ocean simulation on hurricane forecast
The Genesis of Hurricane Guillermo: TEXMEX Analyses and a Modeling Study BISTER AND EMANUEL.
2.5 Mesoscale Convective Systems
Downdraft Storms Lecture 12a
Background and Definitions
Jeong, J.-H., D.-I. Lee, and C.-C. Wang, 2016
Schumacher, R., S., and J. M. Peters, 2017
Sensitivity of WRF microphysics to aerosol concentration
Daniel M. Alrick 14th Cyclone Workshop Monday, September 22, 2008
Nowcast guidance of afternoon convection initiation for Taiwan
Peters, J. M., and R. S. Schumacher, 2015
Li, H., X. Cui, and D.-L. Zhang, 2017 Mon. Wea. Rev., 145, 181–197.
William Flamholtz, Brian Tang, and Lance Bosart
Conrick, R., C. F. Mass, and Q. Zhong, 2018
Tong Zhu and Da-Lin Zhang 2006:J. Atmos. Sci.,63,
A Numerical Study of the Track Deflection of Supertyphoon Haitang (2005) Prior to Its Landfall in Taiwan Speaker: Chen, D-S Advisor : Prof. Yang, M-J REFERENCE:
Tong Zhu and Da-Lin Zhang
Dawson, D. T. II, M. Xue, J. A. Milbrandt, and A. Shapiro, 2015
A Multiscale Numerical Study of Hurricane Andrew (1992)
Ming-Jen Yang and Robert A. House Jr. Mon. Wea. Rev., 123,
Dual-Aircraft Investigation of the Inner Core of Hurricane Nobert
Sensitivity of idealized squall-line simulations to the level of complexity used in two-moment bulk microphysics schemes. Speaker: Huan Chen Professor:
Scott A. Braun, 2002: Mon. Wea. Rev.,130,
High-Resolution Simulation of Hurricane Bonnie (1998)
Sensitivity of Squall-Line Rear Inflow to Ice Microphysics and Environmental Humidity Yang, M.-J., and R.A. Houze, Jr.
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.
Xu, H., and X. Li, 2017 J. Geophys. Res. Atmos., 122, 6004–6024
Li, Z., P. Zuidema, P. Zhu, and H. Morrison, 2015
Pan, Y., M. Xue, and G. Ge, 2016 Mon. Wea. Rev., 144, 371–392.
Presentation transcript:

Bodine, D. J., and K. L. Rasmussen, 2017 Evolution of mesoscale convective system organizational structure and convective line propagation Professor : Ming-Jen Yang Student : Jyong-En Miao Date : 2017/11/07 Bodine, D. J., and K. L. Rasmussen, 2017 Mon. Wea. Rev., 145, 3419–3440.

Introduction (Parker and Johnson 2000) the most common MCS archetype is the leading-line, trailing stratiform archetype that comprises approximately 60% of MCSs, while parallel and leading stratiform occur in the remaining 40% (Corfidi et al. 1996) mesoscale convective complex motion was related to both the mean wind and propagation associated with new convection. The propagation component is similar in magnitude to the low-level jet vector, but in the opposite direction. (Fovell et al. 2006) discrete propagation: new convection was initiated by gravity waves ahead of the leading line. If the new convection becomes sufficiently deep prior to the merger, it develops a cold pool and leads to a discrete ‘‘jump’’ in the position of the MCS cold pool and leading line. Parker (2008) four stages of nocturnal MCSs: strengthening, quasisteady, stalling, and elevated. In the strengthening stage, the MCS becomes better organized, the surface cold pool becomes more intense, and MCS speed increases. In the quasi-steady stage, MCS motion is approximately constant and the MCS remains intense.

Introduction the objective of this study is to assess possible causes of these propagation changes by examining internal and external factors toMCS evolution, and to explore thermodynamic, microphysical, and kinematic changes within the MCS.

Model Setup version 3.6.1 of the ARW Horizontal grid spacing: 27km, 9km, 3km A stretched vertical grid with 44 levels YSU PBL Morrison microphysics Dudhia shortwave radiation RRTM longwave radiation Kain–Fritsch cumulus in the outer domains

Conclusions This study documents the transitional stages of a mature MCS convective line which evolves from a well-defined leading line to a multicellular structure (surge A), and then reorganizes back to a well-defined leading line (surge B). During surge A, several microphysical changes are observed in both the radar data and WRF simulations. Reflectivity decreases and graupel concentrations are reduced above the freezing level, while KFSD near-surface reflectivity and Kdp increase corresponding to an increase in WRF Z and rainwater mixing ratio. Mean and 90th percentile updraft velocities decrease by approximately a factor of 2, and may be a contributing factor to fallout and reduced production of larger ice particles as evidenced by lower Z aloft. Near-surface zonal winds increase substantially, and mean downdraft behind the convective line intensifies. The strongest downdraft develops behind the primary convective line, causing increased hydrometeor loading and evaporative cooling. These processes likely contribute to the development of a more intense and deeper cold pool.

The MCS regains a mature appearance with a convex-shaped, leading-line and extensive trailing-stratiform region during surge B. The WRF simulation shows an intense updraft region with a collocated column of high Z and qgraupel aloft, consistent with radar observations of an upright column of high Z. Moreover, mesoscale flow patterns continue to develop with a stronger rear-inflow jet and zonal wind speeds approaching severe wind criteria. The highest 90th percentile zonal wind speeds are observed between 0450 and 0550 UTC, which coincides with several severe wind reports.