The mesoscale convection life cycle: building block or prototype for larger-scale tropical waves? Brian U. of Miami Stefan Tulich, Jialin Lin.

Slides:



Advertisements
Similar presentations
Chapter 1: What is the Mesoscale? Mesoscale energy sources.
Advertisements

The Structural Evolution of African Easterly Waves Matthew A. Janiga and Chris Thorncroft DEPARTMENT OF ATMOSPHERIC AND ENVIRONMENTAL SCIENCES University.
Calibration of GOES-R ABI cloud products and TRMM/GPM observations to ground-based radar rainfall estimates for the MRMS system – Status and future plans.
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.
1 00/XXXX © Crown copyright Use of radar data in modelling at the Met Office (UK) Bruce Macpherson Mesoscale Assimilation, NWP Met Office EWGLAM / COST-717.
What is the convective structural distribution across the NE and how does it compare to the Midwest? What environments support these structures? Where.
Diurnal Cycle, Mesoscale Circulations in the ABL, and the MJO Richard H. Johnson Colorado State University Richard H. Johnson Colorado State University.
Precipitation Over Continental Africa and the East Atlantic: Connections with Synoptic Disturbances Matthew A. Janiga November 8, 2011.
The Structure of AEWs in the CFSR and their Relationship with Convection.
Severe Convection and Mesoscale Convective Systems R. A. Houze Lecture, Summer School on Severe and Convective Weather, Nanjing, 11 July 2011.
Seminar, National Taiwan University, Taipei, 15 April 2011 Robert Houze University of Washington The tropical convective cloud population.
Observed Updraft & Mass Flux in Shallow Cumulus at ARM Southern Great Plains site Preliminary results Yunyan Zhang, Steve Klein & Pavlos Kollias CFMIP/GCSS.
Mesoscale Convective Systems: Recent Observational and Diagnostic Studies Robert Houze Department of Atmospheric Sciences University of Washington 10 th.
Understanding Atmospheric Heating associated with Deep Convection Robert Houze University of Washington ARM Radiative Heating Profile Workshop, 8-9 January.
Convective Clouds Lecture Sequence Basic convective cloud types
Detection of Equatorial Waves in Data. OLR power spectrum, 1979–2001 (Symmetric) from Wheeler and Kiladis, 1999.
Understanding Atmospheric Heating in the GPM Era Robert Houze University of Washington 6 th GPM International Planning Workshop, 6-8 November 2006, Annapolis,
The Tropical Cloud Population R. A. Houze Lecture, Indian Institute of Tropical Meteorology, Pune, 9 August 2010.
Mesoscale Convective Systems in the Initiation of the MJO Jian Yuan and Robert A. Houze University of Washington CloudSat/CALIPSO Science Team Meeting.
Schumacher and Houze (2006) This Lecture: Review of Schumacher and Houze, 2006: Stratiform precipitation over sub- Saharan Africa and the Tropical.
Relationship of Cloud Water Budgets to Heating Profile Calculations Austin and Houze 1973 Houze et al Houze 1982 Relationship of Cloud Water Budgets.
A Climatology of the Convective System Morphology over Northeast United States Kelly Lombardo & Brian Colle School of Marine and Atmospheric Sciences Stony.
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.
Regional Analysis of West African Monsoonal Convective Systems During 2006 Nick Guy, Steven. A. Rutledge, and Brenda Dolan Colorado State University.
The tropical convective cloud population Peking University Seminar, Beijing, 4 July 2011 Robert Houze University of Washington.
Diurnal Variability of Deep Tropical Convection R. A. Houze Lecture, Summer School on Severe and Convective Weather, Nanjing, July 2011.
Diurnal Variability of Deep Tropical Convection R. A. Houze Lecture, Indian Institute of Tropical Meteorology, Pune, 12 August 2010.
Mesoscale Convective Systems: Recent Observational and Diagnostic Studies Robert Houze Department of Atmospheric Sciences University of Washington.
Mesoscale Convective System Heating and Momentum Feedbacks R. Houze NCAR 10 July 2006.
Scale Interactions in Organized Tropical Convection George N. Kiladis Physical Sciences Division ESRL, NOAA George N. Kiladis Physical Sciences Division.
Wheeler and Hendon 2004 The MJO 7N Equator SKa NCAR S-PolKa Radar.
AGU Annual Meeting, San Francisco, 11 December 2013.
Model Simulations of Extreme Orographic Precipitation in the Sierra Nevada Phillip Marzette ATMS 790 March 12, 2007.
Tropical squall lines as convectively coupled gravity waves: Why do most systems travel westward? Stefan Tulich 1 and George Kiladis 2 1 CIRES, University.
An atmospheric “mesoscale”: where convection meets waves (rotation optional) Brian Mapes University of Miami.
Toward understanding the MJO through the MERRA data-assimilating model Brian Mapes, U. Miami Stefan Tulich, CIRES Julio Bacmeister, GSFC and.
Mesoscale wind divergence profiles in convecting regions Brian Mapes, Jialin Lin, Paquita Zuidema Brian Mapes, Jialin Lin, Paquita Zuidema data thanks.
Vertical Structure of the Tropical Troposphere (including the TTL) Ian Folkins Department of Physics and Atmospheric Science Dalhousie University.
MJO is: A convective disturbance that initiates over the tropical Indian Ocean and propagates eastward. MJO “wave” can propagate around the entire tropics.
Using more than one plume to make GCM convective tendencies participate in large scale phenomena better Brian Mapes, University of Miami trying to be CAM-useful.
Convective cloud life cycles in a wavy stratified environment Brian Mapes University of Miami.
Hyperspectral Data Applications: Convection & Turbulence Overview: Application Research for MURI Atmospheric Boundary Layer Turbulence Convective Initiation.
Severe Convection and Mesoscale Convective Systems R. A. Houze Lecture, Indian Institute of Tropical Meteorology, Pune, 5 August 2010.
Tropical Convection: A Half Century Quest for Understanding Bjerknes Memorial Lecture, AGU, San Francisco, 4 December 2012 Robert Houze University of Washington.
Coherent Structures in Convective Boundary Layers by Ernest Agee, Suzanne Zurn-Birkhimer and Alex Gluhovsky.
Jorgensen, D. P., 1984a: Mesoscale and convective-scale characteristics of mature Hurricanes. Part I: General observations by research aircraft. J. Atmos.
Lecture 15, Slide 1 Physical processes affecting stratocumulus Siems et al
Thunderstorm Structure and Evolution Eric A. Pani The University of Louisiana at Monroe.
Deep Convection Ordinary Cells Multicell storms Supercells.
Understanding the MJO through the MERRA data assimilating model system Brian Mapes RSMAS, Univ. of Miami and Julio Bacmeister NASA GSFC and.
The MJO Cloud Population over the Indian Ocean
Toward a moist dynamics that takes account of cloud systems (in prep. for JMSJ) Brian Mapes University of Miami AGU 2011 YOTC session.
Understanding Convection in Relation to the Non-aerosol Environment ASR Science Team Meeting, Tyson’s Corner, VA, March 17, 2015 Robert Houze With help.
A new look at – Tropical Mid-Troposphere Clouds P. Zuidema, B. Mapes, J. Lin, C. Fairall P. Zuidema, B. Mapes, J. Lin, C. Fairall CIRES/CDC NOAA/ETL Boulder,
Remote sensing and modeling of cloud contents and precipitation efficiency Chung-Hsiung Sui Institute of Hydrological Sciences National Central University.
Atmospheric profile and precipitation properties derived from radar and radiosondes during RICO Louise Nuijens With thanks to: Bjorn Stevens (UCLA) Margreet.
A modeling study of cloud microphysics: Part I: Effects of Hydrometeor Convergence on Precipitation Efficiency. C.-H. Sui and Xiaofan Li.
Tropical Convection and MJO
Rosenstial School of Marine and Atmospheric Science
Thunderstorms Spring 2016 Kyle Imhoff.
PACS/EPIC Enhanced Monitoring
Toward a Mesoscale Modeling-Observations Plan for NAME
Moistening Processes for the October-November 2011 MJO Events
Yongqiang Sun, Michael Ying, Shuguang Wang, Fuqing Zhang
2.5 Mesoscale Convective Systems
Multiscale Variability of the Atmospheric Boundary Layer during DYNAMO
Stratocumulus Regime Extremely shallow moist layer and extreme capping; no mechanism to remove the cap; large scale subsidence strengthens the cap.
SAR remote sensing of open mesoscale cellular convection
Group interests RICO data in support of studies
Presentation transcript:

The mesoscale convection life cycle: building block or prototype for larger-scale tropical waves? Brian U. of Miami Stefan Tulich, Jialin NOAA ESRL/PSD (formerly CDC) Paquita U. of Miami paper in press at Dynamics of Atmospheres and Oceans contact

Resemblances a)MCS: Zipser 1969 b)MCS: Zipser et al c)2-day: Takayabu et al d)Kelvin: Straub & Kiladis 2004 e)MJO: Lin and Johnson 1996

Outline Multiscale resemblance illustrated from obs –Samples and regression composites –Smallest scale (building block): mesoscale (10’s km, h’s) –but with convective cell substructure –On up to intraseasonal Null hyp: LS structure inherited from MCS ‘block’ –rejected Instead: zones of (cu, cg, cb, ns) cloud type enhancements Why and how? –How to interpret humidity, divergence: proxies or causes of ‘convection’?

TOGA-COARE data sources at various scales Sounding array data: CSU gridsVAD: ship radar (48km radius)

Doppler radar VAD results: 48km radius lag-p regressions of divergence vs. Z-R rainrate mean of 7 field programs (~10 4 h data) (pattern similar in each of the 7) Mass flux (-  Mapes and Lin 2005 MWR Multi-hour time scale: artifact of spatial scale? s -1 per mm/h Only slight mass-balance adjustment needed

Point data (5’ vertically pointing cloud radar coverage vs. gauge rain, EPIC 2001): irreducible multi-hour time scales? cu dynamics (multi- cellular) anvil micro- physics… …including stratiform rain

Evolution (tilt) similar across timescales with fixed spatial scale (OSA divergence) 30d total LP +BP +HP =

dawn visible pix at those 4 times b) d) a) c)

Building block null hypothesis: that multiscale tilt is reproducible by superposition of fixed-structure (VAD derived) divergence building blocks hmmm… No.

Rather, the MCS life cycle appears to be a prototype for larger-scale waves. Zipser et al zones of different cloud types

LS zone favors cu…… or cb… or ns anvils How is multiscale structure resemblance achieved?

What variables modulate cloud types in these LS zones? Hypothesis: T, q (via parcel buoyancy): emphasis on leading edge Rain autocorrelation

Entraining plume buoyancy, and its parts Pure parcel effect Moistness of entrained air “Explains” “convection”? capping effect

Wrapup Multiscale resemblance illustrated from obs –Smallest scale (building block): mesoscale with convective substructure –COARE sounding array: ~2 day, ~2 week, ~40d periods Slow evolution is not just a convective cloud life cycle, aliased upscale: rather, there are zones of cloud type (cu, cg, cb, ns) enhancements –On both MCS and larger scales Why and how? –Leading edge: perhaps governed via plume buoyancy? Circularity: is q proxy or cause? “moisture-convection feedback” –Trailing edge: more subtle? - Shear? Wave ascent? –Careful! Filtering can introduce spurious congestus stage - stratiform stage antisymmetry! Or is it a “vertical mode?”

Extra slides

OSA specific humidity 6d 24d 40d 6 hourly data daily means 4d means

COARE divergence: OSA, IFA, VAD OSA IFA VAD conv div 48h rain

Smallest scale: mesoscale (hours) even in “point” data Gauge rain Composites wrt +1 stdev excursions Regressions vs. gauge rain 5 minute data