Influence of the Subcloud Layer on the Development of a Deep Convective Ensemble Boing et al., 2012.

Slides:



Advertisements
Similar presentations
What’s quasi-equilibrium all about?
Advertisements

Convection plans Alison Stirling.
DYMECS: Dynamical and Microphysical Evolution of Convective Storms (NERC Standard Grant) University of Reading: Robin Hogan, Bob Plant, Thorwald Stein,
Pan American Land Feedbacks on Precipitation Robert E. Dickinson (Gatech) Acknowledging contributions from Rong Fu (Gatech), and Guiling Wang (U Conn.)
The Problem of Parameterization in Numerical Models METEO 6030 Xuanli Li University of Utah Department of Meteorology Spring 2005.
Thunderstorms.
GFDL Geophysical Fluid Dynamics GFDL Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey AM2 cloud sensitivity to details of convection and cloud.
Semi-direct effect of biomass burning on cloud and rainfall over Amazon Yan Zhang, Hongbin Yu, Rong Fu & Robert E. Dickinson School of Earth & Atmospheric.
Characteristics of Isolated Convective Storms
A brief synopsis of Johnson and Mapes: Mesoscale Processes and Severe Convective Weather From Severe Convective Storms sections 3.3b, 3.3c.1, 3.4 By Matt.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology The Effect of Turbulence on Cloud Microstructure,
Relationships between wind speed, humidity and precipitating shallow cumulus convection Louise Nuijens and Bjorn Stevens* UCLA - Department of Atmospheric.
Mesoscale Convective Systems Robert Houze Department of Atmospheric Sciences University of Washington Nebraska Kansas Oklahoma Arkansas.
GFS Deep and Shallow Cumulus Convection Schemes
Characteristics of Isolated Convective Storms Meteorology 515/815 Spring 2006 Christopher Meherin.
Chapter 9.
Review of the Boundary Layer
Length Scale analysis of the transition from shallow to deep convection João Paulo A. Martins (1) Pedro M. A. Miranda (1) Pedro M. M. Soares (1) João Teixeira.
Probability of afternoon precipitation in eastern United States and Mexico enhanced by high evaporation by Kirsten L. Findell et al. 2011, Nature Geoscience.
GardeGarde Designing unified convection parameterizations: two proposals related to equation sets and entrainment. Jean-Marcel Piriou, Météo-France. GCSS.
Clouds, Aerosols and Precipitation GRP Meeting August 2011 Susan C van den Heever Department of Atmospheric Science Colorado State University Fort Collins,
CONVECTIVE PARAMETERIZATION For the Lesson: Precipitation Processes December 1998.
Cumulus Clouds. What goes on inside a cumulus cloud?
Simulating Supercell Thunderstorms in a Horizontally-Heterogeneous Convective Boundary Layer Christopher Nowotarski, Paul Markowski, Yvette Richardson.
Lecture 2a Severe Thunderstorm Primer Synoptic Laboratory II – Mesoscale Professor Tripoli.
Vertical Structure of the Tropical Troposphere (including the TTL) Ian Folkins Department of Physics and Atmospheric Science Dalhousie University.
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.
Boundary Layer Convection Convection in the boundary layer occurs to transport heat moisture, and momentum from surface to free atmosphere Two common scenarios:
Matthew Shupe, Ola Persson, Amy Solomon CIRES – Univ. of Colorado & NOAA/ESRL David Turner NOAA/NSSL Dynamical and Microphysical Characteristics and Interactions.
DYMECS: Dynamical and Microphysical Evolution of Convective Storms (NERC Standard Grant) University of Reading: Robin Hogan, Bob Plant, Thorwald Stein,
Budgets of second order moments for cloudy boundary layers 1 Systematische Untersuchung höherer statistischer Momente und ihrer Bilanzen 1 LES der atmosphärischen.
Yanjun Jiao and Colin Jones University of Quebec at Montreal September 20, 2006 The Performance of the Canadian Regional Climate Model in the Pacific Ocean.
Diurnal Variations of Tropical Convection Ohsawa, T., H. Ueda, T. Hayashi, A. Watanabe, and J. Matsumoto, 2001 : Diurnal Variations of Convective Activity.
Hurricane Microphysics: Ice vs Water A presenation of papers by Willoughby et al. (1984) and Heymsfield et al. (2005) Derek Ortt April 17, 2007.
Large Eddy Simulation of PBL turbulence and clouds Chin-Hoh Moeng National Center for Atmospheric Research.
Moisture in the Atmosphere
For more information about this poster please contact Gerard Devine, School of Earth and Environment, Environment, University of Leeds, Leeds, LS2 9JT.
A Numerical Study of Early Summer Regional Climate and Weather. Zhang, D.-L., W.-Z. Zheng, and Y.-K. Xue, 2003: A Numerical Study of Early Summer Regional.
Toulouse IHOP meeting 15 June 2004 Water vapour variability within the growing convective boundary layer of 14 June 2002 with large eddy simulations and.
Tropical Severe Local Storms Nicole Hartford. How do thunderstorms form?  Thunderstorms result from moist warm air that rises due to being less dense.
1. Introduction Boundary-layer clouds are parameterized in general circulation model (GCM), but simulated in Multi-scale Modeling Framework (MMF) and.
On the Definition of Precipitation Efficiency Sui, C.-H., X. Li, and M.-J. Yang, 2007: On the definition of precipitation efficiency. J. Atmos. Sci., 64,
Boundary Layer Clouds.
Georg A. Grell (NOAA / ESRL/GSD) and Saulo R. Freitas (INPE/CPTEC) A scale and aerosol aware stochastic convective parameterization for weather and air.
Yuqing Wang and Chunxi Zhang International Pacific Research Center University of Hawaii at Manoa, Honolulu, Hawaii.
Observed Structure of the Atmospheric Boundary Layer
APR CRM simulations of the development of convection – some sensitivities Jon Petch Richard Forbes Met Office Andy Brown ECMWF October 29 th 2003.
A Thermal Plume Model for the Boundary Layer Convection: Representation of Cumulus Clouds C. RIO, F. HOURDIN Laboratoire de Météorologie Dynamique, CNRS,
Conditions for Convection The Ingredients Method.
MODELING OF SUBGRID-SCALE MIXING IN LARGE-EDDY SIMULATION OF SHALLOW CONVECTION Dorota Jarecka 1 Wojciech W. Grabowski 2 Hanna Pawlowska 1 Sylwester Arabas.
Convective Parameterization in NWP Models Jack Kain And Mike Baldwin.
A Case Study of Decoupling in Stratocumulus Xue Zheng MPO, RSMAS 03/26/2008.
Background – Building their Case “continental” – polluted, aerosol laden “maritime” – clean, pristine Polluted concentrations are 1-2 orders of magnitude.
Cumulus Clouds. Instabilities Resulting in Vertical Overturning 1.Thermal Instability (Assuming uniform vertical pressure gradient) a) Static (Parcel.
Work Status: The project implementation is somewhat delayed due to the uncertainty about the future of some project participants A review about analogies.
Convective Parameterization Jack Kainand Mike Baldwin OAR/NSSL/CIMMS.
Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes.
Meteorological Variables 1. Local right-hand Cartesian coordinate 2. Polar coordinate x y U V W O O East North Up Dynamic variable: Wind.
Shifting the diurnal cycle of parameterized deep convection over land
Characteristics of Isolated Convective Storms
Seamless turbulence parametrization across model resolutions
BRETTS-MILLER-JANJIC SCHEME
Hongyan Zhu, Harry Hendon and Rachel Stratton
Analysis of Parameterization in Single-Column Model
Han, J. , W. Wang, Y. C. Kwon, S. -Y. Hong, V. Tallapragada, and F
Rita Roberts and Jim Wilson National Center for Atmospheric Research
Ming-Jen Yang and Robert A. House Jr. Mon. Wea. Rev., 123,
Scott A. Braun, 2002: Mon. Wea. Rev.,130,
Kurowski, M .J., K. Suselj, W. W. Grabowski, and J. Teixeira, 2018
Presentation transcript:

Influence of the Subcloud Layer on the Development of a Deep Convective Ensemble Boing et al., 2012

Depiction of shallow-deep convection transition Rio et al., 2009  Thermals drive shallow convection in the morning; key role in preconditioning  Wakes (cold-pools) reinforce deep-convection in the afternoon

Events preceding rainfall Onset  Evaporation-----Negative buoyant downdrafts  Spread over surface as density currents away from rainfall Characteristics  Circular patterns  Outflow boundaries: High RH  Cold and Dry at center

Shallow-Deep Convection Transition (Previous work) Rapid growth of deep convection could be prevented when evaporation of rainfall is suppressed (Khairaoutdinov and Randall (2006); 3D CRM) Rapid transition in cloud height precedes the formation of cold pools; Mean cloud buoyancy is crucial (Wu et al; 2D CRM) Growth of length scales in the subcloud layer is strongly correlated with the presence of precipitation (Martins 2011; CRM and Satellite) Moisture and moist static energy in homogeneities good indicator: Increase of Boundary layer Inhomegeneity precides formation of precipitation (Zhang and Klein 2010; Observations) Forced uplift at the outflow boundary (edge of cold pools) where gust front occurs

Forced uplift at the outflow boundary (edge of cold pools) where gust front occurs; Initiation of new convection (Over ocean: Rauber et al., 2007; Zuedema et al., 2012; Over Land: Weckwerth and Wakimoto 1992) Convective triggering is preferential at the interface of colloiding outflow boundaries occurred during afternoon (Lima and Wilson) Rio et al (2009) parameterized the dynamical effects of wake; realistic timing of parameterized deep convection Tomkins (2001a) argues deep convection over the ocean is thermodynamic rather than dynamic; Enhanced updraft activity occurs because of a change in the thermodynamic properties of subcloud layer (surface fluxes/contrast to mean state) Cold pool mechanisms (Dynamic/Thermodynamic effects) Other effects RH of mid-troposphere crucial for the onset of congestus clouds (Derbyshie et al., Wu et al., 2009) Large-scale motion helps premoisten the atmosphere and enhance convective activity Wind shear may organize the convection (Rotunno et al. 1998) under certain conditions

Purpose of this paper Testing the Positive Loop  Evaporation in subcloud layer leads to formation of cold pools because of thermodynamic/and dynamic properties of the subcloud layer; wider clouds with lower entrainment, and larger excess of thermodynamics at outflow of boundaries These clouds reach higher into troposphere and large fraction of t heir moisture excess converted into precip  To verify the new implementation of new scale to damp the variance in the subcloud layer; disentangle feedback loop and only focus on subcloud (thermo/dyna) with cloud layer

Model and Assumptions DALES model:Dutch Atmos.LES Domain and Resolution: 57.6x 57.6 km,150 m horizontal; streched grid 250 pts increasesing from 40 m at surface Double periodic boundary conditions Sub-filter scale TKE equation Single moment ice microphysics (Grabowski 1998) LES is initialized with random l perturbations with a uniform distribution between +/- 0.1 θk (to avoid absence of initial large scale structure may delay the develop. Of deep convection) Prognostic variables: total non-precip water spec. hum., total hydrometeor. spec.hum., linear liquid potential temperature  Latent of freezing neglected  Melting layer dynamics also neglected (to avoid downdrafts)  No large scale vertical wind shear  Surface fluxes held constant: SH: 161w/m2, LH: 343 w/m2; (morning transition values)  (Influence of land surface and its properties no considered !!)

Experiments 1.Reference case: No modification to subcloud layer 2.Evoporation of rain removed altogether (modifies both cloud layer (downdrafts) and subcloud layer (CP form.); All rain reaches surface and removed from simulatons 3.Only cold-pool formation suppressed 4.T and q tendencies due to evaporation horizont.homo. in subcloud layer 5.Microphy. scheme at each step to determine tendencies due to evaporation 6.Apply hori.hom. tendencies in subcloud;