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.

Slides:



Advertisements
Similar presentations
Parametrization of surface fluxes: Outline
Advertisements

Introduction Irina Surface layer and surface fluxes Anton
Sensitivity of the HWRF model prediction for Hurricane Ophelia (2005) to the choice of the cloud and precipitation scheme Yuqing Wang and Qingqing Li International.
Hurricane Dynamics 101 Roger K. Smith University of Munich.
A drag parameterization for extreme wind speeds that leads to improved hurricane simulations Gerrit Burgers Niels Zweers Vladimir Makin Hans de Vries EMS.
Hurricanes Innovative Grid-Enable Multiple-scale Hurricane modeling system Konstantinos Menelaou International Hurricane Research Center Department of.
PBL simulated from different PBL Schemes in WRF during DICE
Circulation in the atmosphere
Session 2, Unit 3 Atmospheric Thermodynamics
Sensitivity of High-Resolution Simulations of Hurricane Bob (1991) to Planetary Boundary Layer Parameterizations SCOTT A. BRAUN AND WEI-KUO TAO PRESENTATION.
THE PARAMETERIZATION OF STABLE BOUNDARY LAYERS BASED ON CASES-99 Zbigniew Sorbjan Marquette University, Milwaukee Zbigniew Sorbjan Marquette University,
AERMET 8 TH Modeling Conference RTP, NC September 22 – 23, 2005 Presented by: Desmond T. Bailey
Surface Exchange Processes SOEE3410 : Lecture 3 Ian Brooks.
Progress in Developing Coupled Tropical Cyclone-Wave-Ocean Models for Operational Implementations at NOAA and Navy Isaac Ginis Morris Bender, Tetsu Hara,
Atmospheric Analysis Lecture 3.
0.1m 10 m 1 km Roughness Layer Surface Layer Planetary Boundary Layer Troposphere Stratosphere height The Atmospheric (or Planetary) Boundary Layer is.
Yalin Fan and Isaac Ginis GSO, University of Rhode Island Effects of surface waves on air- sea momentum and energy fluxes and ocean response to hurricanes.
1 Progress Towards Developing a Coupled Atmosphere-Wave-Ocean Framework for Research and Operational Hurricane Models Isaac Ginis B. Thomas, R. Yablonsky,
1 Sensitivity of air-sea exchange coefficients (Cd and Ch) on hurricane size and intensity of HWRF Young Kwon and Robert Tuleya EMC/NCEP/NWS/NOAA HFIP.
Hurricanes. And finally… JOURNAL COLLECTION How they develop What they’re like Where to find them Andrew or Isabel Important test and other information.
Ang Atmospheric Boundary Layer and Turbulence Zong-Liang Yang Department of Geological Sciences.
HWRF Model Sensitivity to Non-hydrostatic Effects Hurricane Diagnostics and Verification Workshop May 4, 2009 Katherine S. Maclay Colorado State University.
Calculation of wildfire Plume Rise Bo Yan School of Earth and Atmospheric Sciences Georgia Institute of Technology.
Growth and decay of the mixed layer and seasonal thermocline from November 1989 to September 1990 at the Bermuda Atlantic Time-series Station (BATS) at.
+ Effects of Climate Change on Ocean Storms Chloe Mawer.
Chris Birchfield Atmospheric Sciences, Spanish minor.
2011 operational HWRF model upgrades EMC/NCEP/NWS/NOAA Young C. Kwon, V. Tallapragada, R. Tuleya, Q. Liu, K. Yeh*, S. Gopal*, Z. Zhang, S. Trahan and J.
1 Advanced coupled atmosphere-wave-ocean modeling for improving tropical cyclone prediction models PI: Isaac Ginis University of Rhode Island Co-PIs: T.
Effects of different surface types and human activities.
Xin Xi. 1946: Obukhov Length, as a universal length scale for exchange processes in surface layer. 1954: Monin-Obukhov Similarity Theory, as a starting.
Prediction of Atlantic Tropical Cyclones with the Advanced Hurricane WRF (AHW) Model Jimy Dudhia Wei Wang James Done Chris Davis MMM Division, NCAR Jimy.
Evaluation and Development of Ensemble Prediction System for the Operational HWRF Model Zhan Zhang, V. Tallapragada, R. Tuleya, Q. Liu, Y. Kwon, S. Trahan,
Jian-Wen Bao (NOAA/ESRL/PSD) Sara A. Michelson (NOAA/ESRL/PSD) S. G. Gopalakrishnan (NOAA/AOML/HRD) In Collaboration with Frank Marks (NOAA/AOML/HRD) Vijay.
Sensitivity of Tropical Cyclone Inner-Core Size and Intensity to the Radial Distribution of Surface Entropy Flux Wang, Y., and Xu, 2010: Sensitivity of.
EFFECTS OF OCEAN MIXING ON HURRICANE HEAT CONTENT ESTIMATES: A NUMERICAL STUDY S. DANIEL JACOB and LYNN K. SHAY Meteorology and Physical Oceanography Rosenstiel.
Hurricane structure and intensity change : Effects of wind shear and Air-Sea Interaction M é licie Desflots Rosenstiel School of Marine & Atmospheric Science.
Modeling the Atmospheric Boundary Layer (2). Review of last lecture Reynolds averaging: Separation of mean and turbulent components u = U + u’, = 0 Intensity.
Ligia Bernardet 1*, E. Uhlhorn 2, S. Bao 1* & J. Cione 2 1 NOAA ESRL Global Systems Division, Boulder CO 2 NOAA AOML Hurricane Research Division, Miami.
Air-Sea Exchange in Hurricanes by Peter G. Black & Hurricane Intensity and Eyewall Replacement by Robert A. Houze Jr. Lynsie M. Schwerer Atmospheric Science.
Analysis of Turbulence Development in the Morning
Three Lectures on Tropical Cyclones Kerry Emanuel Massachusetts Institute of Technology Spring School on Fluid Mechanics of Environmental Hazards.
Dependence of spray flux on breaking waves Fairall, C AF: NOAA / ETL, 325 Broadway, Boulder, CO United States M.Banner and Morison, R The University.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology The Tropical Cyclone Boundary Layer 4:
CITES 2005, Novosibirsk Modeling and Simulation of Global Structure of Urban Boundary Layer Kurbatskiy A. F. Institute of Theoretical and Applied Mechanics.
Tropical Cyclones: Steady State Physics. Energy Production.
Bulk Parameterizations for Wind Stress and Heat Fluxes (Chou 1993; Chou et al. 2003) Outlines: Eddy correlation (covariance) method Eddy correlation (covariance)
Research on the HWRF Model: Intensification and Uncertainties in Model Physics Research on the HWRF Model: Intensification and Uncertainties in Model Physics.
 one-way nested Western Atlantic-Gulf of Mexico-Caribbean Sea regional domain (with data assimilation of SSH and SST prior to hurricane simulations) 
Changes to the KPP Vertical Mixing Parameterization
Physics of Sea Spray Scott W. Powell 1,2, Jian-Wen Bao 1, Christopher W. Fairall 1, Laura Bianco 1 1 NOAA/ESRL/PSD, Boulder, Colorado 2 Rosenstiel School.
OEAS 604: Introduction to Physical Oceanography Surface heat balance and flux Chapters 2,3 – Knauss Chapter 5 – Talley et al. 1.
MM5 studies at Wageningen University (NL) Title Jordi Vilà (Group 4) NL North sea Radar MM5 NL North sea.
Parameterizations of the Sea-Spray Effects
A Sea-Spray Thermodynamic Parameterization Including Feedback C. W. Fairall *, J-W. Bao, and J. Wilczak NOAA Environmental Technology Laboratory (ETL)
Kinetic Energy In The Atmosphere Kinetic Energy is the energy of motion Heat - the total kinetic energy of the atoms composing a substance (atmospheric.
Processes in the Planetary Boundary Layer
A Case Study of Decoupling in Stratocumulus Xue Zheng MPO, RSMAS 03/26/2008.
THE INFLUENCE OF WIND SPEED ON SHALLOW CUMULUS CONVECTION from LES and bulk theory Louise Nuijens and Bjorn Stevens University of California, Los Angeles.
Microphysical-dynamical interactions in an idealized tropical cyclone simulation Stephen R. Herbener and William R. Cotton Colorado State University, Fort.
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.
Enhancement of Wind Stress and Hurricane Waves Simulation
Hurricane Vortex X L Converging Spin up Diverging Spin down Ekman
Coupled atmosphere-ocean simulation on hurricane forecast
Air-Sea Interaction: Physics of air-surface interactions and coupling to ocean/atmosphere BL processes Emphasize surface fluxes Statement of problem Present.
Climate Science Centre, CSIRO Ocean and Atmosphere
ATOC 4720 class28 The global energy balance at the earth’s surface.
New insights into turbulence dynamics under stabilizing
NRL POST Stratocumulus Cloud Modeling Efforts
Impacts of Air-Sea Interaction on Tropical Cyclone Track and Intensity
Presentation transcript:

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. Tallapragada of NCEP/EMC Impact of Sea Spray on the Balance of Turbulent Kinetic Energy in the Hurricane Surface Boundary Layer Presented at The 63 rd Interdepartmental Hurricane Conference Saint Petersburg, FL, March 4, 2009

Outline A Two-Phase Flow Problem - Thermal effects: release of sensible and latent heat - Mechanical effects: suspension against gravitation 1-D Modeling of Equilibrium SBL Flow - Balance of turbulent kinetic energy (TKE) Parameterization in NWP Models - Extension of the Monin-Obukhov similarity theory Summary of the HWRF Model Testing Ocean Atmosphere Sea Spray by P. Black Ocean surface whitecaps and foam streaks in a hurricane at wind speeds of ~46 m/s

1-D Spray–Laden Atmospheric Boundary Layer Model (Kepert, Fairall and Bao, 1999)

sea spray mediated buoyancy production and dissipation Turbulence Model

Left: Mass averaged droplet radius as a function of the 10-m wind speed. Right: Mass of the droplets as a function of the 10-m wind speed Fairall et al. (2008)

Diagnosis of Sea Spray Effects in Terms of the M-O Similarity Theory

Flux Richardson Number at 12 M

Droplet Richardson Number at 12 M

Summary of the 1-D Simulations The suspension of sea-spray droplets reduces the buoyancy and makes the surface layer more stable, reducing the friction velocity and the downward turbulent mixing of momentum. Sea-spray droplets tend to cool and moisten the surface boundary layer at winds below 35 ms -1, but they tend to warm and moisten the surface boundary layer at winds above 50 ms -1. The sign of the flux Richardson number is opposite to the droplet Richardson number at hurricane-strength winds. The effect of the flux Richardson number is smaller than that of the droplet Richardson number at hurricane-strength winds, rendering the overall effect of sea-spray to be that the vertical mixing of both momentum and heat are enhanced.

The NOAA/ESRL Parameterization Scheme of Sea Spray in the HWRF Model A physical model of sea-spray generation function consistent with wave breaking dynamics An extension of the Monin-Obukhov similarity framework to take into account the feedback effects

HWRF Evaluation: Dennis (2005) #cases(13) (13) (13) (13) (13) (11) (9) (7) (13) (13) (13) (13) (13) (11) (9) (7)

HWRF Evaluation: Katrina (2005) #cases(13) (13) (12) (11) (10) (8) (6) (4) (13) (13) (12) (11) (10) (8) (6) (4)

Summary of the HWRF Testing For strong storms (such as Katrina and Rita), the scheme tends to produce a greater positive bias of intensity during the first hours than the control runs, while the impact on track is negligible. For weak storms (such as Dennis), the scheme tends to produce an intensity bias that varies around that of the control runs, while the track is degraded slightly after 72 hours. The storm structure is affected by the sea-spray mediated momentum and heat fluxes, suggesting a strong connection between the surface fluxes and the vortex dynamics through the convection in the eyewall (not shown). The performance of the scheme can be improved by tuning the source function and the degree of feedback effects.

Vertical profiles of absolute change in wind speed for: 10-m wind speed = 50 ms -1, droplet radius = 450 mm, mass of the droplets = 4.8*10 -2 Kg/m 2 /s, potential evaporation = (W m -2 )

Vertical profiles of heat fluxes for: 10-m wind speed = 50 ms -1, droplet radius = 450 mm, mass of the droplets = 4.8*10 -2 Kg/m 2 /s, potential evaporation = (W m -2 )