A Case Study of Decoupling in Stratocumulus Xue Zheng MPO, RSMAS 03/26/2008.

Slides:



Advertisements
Similar presentations
Impacts of Large-scale Controls and Internal Processes on Low Clouds
Advertisements

Training course: boundary layer IV Parametrization above the surface layer (layout) Overview of models Slab (integral) models K-closure model K-profile.
Stratus. Outline  Formation –Moisture trapped under inversion –Contact layer heating of fog –Fog induced stratus –Lake effect stratus/strato cu  Dissipation.
Vertical Structure of the Atmospheric Boundary Layer in Trade Winds Yumin Moon MPO 551 September 26, 2005.
GFDL Geophysical Fluid Dynamics GFDL Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey AM2 cloud sensitivity to details of convection and cloud.
THE PARAMETERIZATION OF STABLE BOUNDARY LAYERS BASED ON CASES-99 Zbigniew Sorbjan Marquette University, Milwaukee Zbigniew Sorbjan Marquette University,
Low clouds in the atmosphere: Never a dull moment Stephan de Roode (GRS) stratocumulus cumulus.
Matthew Shupe Ola Persson Paul Johnston Cassie Wheeler Michael Tjernstrom Surface-Based Remote-Sensing of Clouds during ASCOS Univ of Colorado, NOAA and.
Moist Processes ENVI1400: Lecture 7. ENVI 1400 : Meteorology and Forecasting2 Water in the Atmosphere Almost all the water in the atmosphere is contained.
Tephigrams ENVI1400 : Lecture 8.
Atmospheric Analysis Lecture 3.
Textbook chapter 2, p chapter 3, p chapter 4, p Stability and Cloud Development.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology The Effect of Turbulence on Cloud Microstructure,
AOS 100: Weather and Climate Instructor: Nick Bassill Class TA: Courtney Obergfell.
Observations of Wind in Nares Strait. There is incidental evidence that winds are strong … but how strong? And why? 3 November :06 UTC Observations.
Ang Atmospheric Boundary Layer and Turbulence Zong-Liang Yang Department of Geological Sciences.
GFS Deep and Shallow Cumulus Convection Schemes
Review of the Boundary Layer
Large-Eddy Simulation of a stratocumulus to cumulus transition as observed during the First Lagrangian of ASTEX Stephan de Roode and Johan van der Dussen.
Lapse Rates and Stability of the Atmosphere
The representation of stratocumulus with eddy diffusivity closure models Stephan de Roode KNMI.
Objectives Review Vocabulary
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.
Stephan de Roode (KNMI) Entrainment in stratocumulus clouds.
Condensation in the Atmosphere The atmosphere contains a mixture of dry air and a variable amount of water vapor (0-4% or 0-30 g/kg) An air parcel is said.
Introduction to Cloud Dynamics We are now going to concentrate on clouds that form as a result of air flows that are tied to the clouds themselves, i.e.
Modeling the Atmospheric Boundary Layer (2). Review of last lecture Reynolds averaging: Separation of mean and turbulent components u = U + u’, = 0 Intensity.
Jian-Wen Bao Christopher W. Fairall Sara A. Michelson Laura Bianco NOAA/ESRL/Physical Sciences Division in collaboration with N. Surgi, Y. Kwon and V.
Properties of the Atmosphere
Atmosphere Chapter 11.2 & 11.3.
Lab 6: Saturation & Atmospheric Stability
The ASTEX Lagrangian model intercomparison case Stephan de Roode and Johan van der Dussen TU Delft, Netherlands.
Large-Eddy Simulations of the Nocturnal Low-Level Jet M.A. Jiménez Universitat de les Illes Balears 4th Meso-NH user’s meeting, Toulouse April 2007.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology The Tropical Cyclone Boundary Layer 4:
Lecture 15, Slide 1 Physical processes affecting stratocumulus Siems et al
Part II: Turbulence Signature and Platform Limitations Dan Weber, Frank W. Gallagher, Ken Howard ©2000 Frank W. Gallagher III.
Evaluating forecasts of the evolution of the cloudy boundary layer using radar and lidar observations Andrew Barrett, Robin Hogan and Ewan O’Connor Submitted.
RICO Modeling Studies Group interests RICO data in support of studies.
Toulouse IHOP meeting 15 June 2004 Water vapour variability within the growing convective boundary layer of 14 June 2002 with large eddy simulations and.
Large Eddy Simulation of Low Cloud Feedback to a 2-K SST Increase Anning Cheng 1, and Kuan-Man Xu 2 1. AS&M, Inc., 2. NASA Langley Research Center, Hampton,
April Hansen et al. [1997] proposed that absorbing aerosol may reduce cloudiness by modifying the heating rate profiles of the atmosphere. Absorbing.
Transport and dispersion of air pollution
Comparison of HIRLAM data with Sodankylä soundings – tools and results Evgeny Atlaskin Russina State Hydrometeorological University Saint-Petersburg.
1 Marginal Thermobaric Stability in the Weddell Sea Miles McPhee McPhee Research Company.
Role of the Gulf Stream and Kuroshio-Oyashio Systems in Large- Scale Atmosphere-Ocean Interaction: A Review Young-oh Kwon et al.
EARTH SCIENCE Prentice Hall EARTH SCIENCE Tarbuck Lutgens 
OEAS 604: Introduction to Physical Oceanography Surface heat balance and flux Chapters 2,3 – Knauss Chapter 5 – Talley et al. 1.
Modeling and Evaluation of Antarctic Boundary Layer
Development and testing of the moist second-order turbulence-convection model including transport equations for the scalar variances Ekaterina Machulskaya.
Sources of global warming of the upper ocean on decadal period scales Warren B. White 2010/05/18 Pei-yu Chueh.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Component testing of the COSMO model’s turbulent diffusion.
The Arctic boundary layer: Characteristics and properties Steven Cavallo June 1, 2006 Boundary layer meteorology.
Processes in the Planetary Boundary Layer
Stephan de Roode The art of modeling stratocumulus clouds.
Chapter 9 Winds: Small scale and local systems. Scales of motion Smallest - microscale (few meters or less) Middle - Mesoscale (few to about 100 km) Large.
Atmospheric Stability and Air Masses
Cloud Formation  Ten Basic Types of Clouds (Genera): l High: Ci, Cs, Cc l Middle: As, Ac l Low: St, Ns, Sc l Clouds of Great Vertical Extent: Cu, Cb 
Meteorological Variables 1. Local right-hand Cartesian coordinate 2. Polar coordinate x y U V W O O East North Up Dynamic variable: Wind.
Impact of a warm ocean eddy’s circulation on hurricane-induced sea surface cooling with implications for hurricane intensity Richard M. Yablonsky and Isaac.
Advisors: Fuqing Zhang and Eugene Clothiaux
Stratocumulus cloud thickening beneath layers of absorbing smoke aerosol – Wilcox, 2010 The semi-direct aerosol effect: Impact of absorbing aerosols.
Coupled atmosphere-ocean simulation on hurricane forecast
Preliminary Results from Stratus 03 Cruise on R/V Revelle Fairall, Zuidema, Hare, Kollias, Tomlinson WCRP/CLIVAR/VAMOS Panel Meeting 7 Guayaquil, Ecuador.
State of the Atmosphere
Section 2: Properties of the Atmosphere
Group interests RICO data required
Entrainment rates in stratocumulus computed from a 1D TKE model
Section 2: Properties of the Atmosphere
NRL POST Stratocumulus Cloud Modeling Efforts
Group interests RICO data in support of studies
Presentation transcript:

A Case Study of Decoupling in Stratocumulus Xue Zheng MPO, RSMAS 03/26/2008

Outline Motivation Observation Numerical simulation Summary and future work

Synoptic History January 25 th, 2008 A cold front passed this region before. Dominated by high pressure SST~ o C www-angler.larc.nasa.gov

Flight Plan Two soundings Six levels at constant pressure surface: above inversion level, cloud top, cloud layer, cloud base, mixed layer, near the surface Each level has 10-minute observation

Soundings Data Temperature is cooler at most part of BL after about 1 hour Inversion level rises about 100m Two mixed layers on the second sounding Decoupling process between 600m and 800m UTC 16:55-17:05 UTC 18:17-18:27 Mean values Decoupling layer

Liquid Water Content and Relative Humidity Two separated layers with liquid water content A relative dry region between those indicates the discontinuous feature is building up Probably due to the specifically location of this sounding

Surface Wind and Wind Shear 30m 1550m

Buoyancy Flux and Turbulence Momentum Flux Negative buoyancy flux within the decoupling layer Near-surface buoyancy flux Vertical velocity variance decreases within cloud layer Strong turbulence near the surface Six layers

Large Eddy Simulation System of Atmospheric Modeling (SAM6.6.5a, Khairoutdinov) –Initial Soundings –Vertical profiles of large scale U, V, W (NCEP) –SST, latent heat flux, sensible heat flux, and surface drag (Fairall, et al 1996) –128X128X96 (∆x=100m) –3-Hour simulation with 0.5s time step Numerical Experiment –The influence of surface fluxes –The influence of large scale tendencies

Preliminary Results Low level warms up (~0.2K/2hours) Inversion level rises Simulated cloud layer extends to 1500m level From simulated cloud base TKE increases and reaches maximum within the could layer (K) Cloud liquid water (g/kg) model Obs TKE (m 2 /s 2 )

Summary Observation: –A stratocumulus case with strong wind and turbulence near the surface –Decoupling at sub-cloud layer Numerical simulation ignoring large scale tendencies: –Decoupling at sub-cloud layer is not simulated –Lower level is warming –Thicker cloud layer is simulated –TKE increases within cloud layer instead of decreasing