Www.met.rdg.ac.uk/~swr06iab Moisture Transport in Baroclinic Waves Ian Boutle a, Stephen Belcher a, Bob Plant a Bob Beare b, Andy Brown c 24 April 2014.

Slides:



Advertisements
Similar presentations
Met Office Hadley Centre, FitzRoy Road, Exeter, Devon, EX1 3PB United Kingdom Tel: +44 (0) Fax: +44 (0)
Advertisements

1 Numerical Weather Prediction Parameterization of diabatic processes Convection III The ECMWF convection scheme Christian Jakob and Peter Bechtold.
What’s quasi-equilibrium all about?
The University of Reading Helen Dacre AGU Dec 2008 Boundary Layer Ventilation by Convection and Coastal Processes Helen Dacre, Sue Gray, Stephen Belcher.
Laura Davies University of Reading Supervisors: Bob Plant, Steve Derbyshire (Met Office)
6. Equilibrium fluctuations for time-varying forcing. Values of constant term larger than expected from RCE run correspond to fluctuations greater than.
Predictable Chaotic Exhibits memory Equilibrium Towards non-equilibrium Acknowledgements LD is supported by NERC CASE award NER/S/A/2004/ Conclusions.
The University of Reading Helen Dacre AMS 2010 Air Quality Forecasting using a Numerical Weather Prediction Model ETEX Surface Measurement Sites.
The University of Reading Helen Dacre UM user 2009 Forecasting the transport of pollution using a NWP model ETEX Surface Measurement Sites.
© University of Reading 2007www.reading.ac.uk Sting Jets in severe Northern European Windstoms Suzanne Gray, Oscar Martinez-Alvarado, Laura Baker (Univ.
Conditional symmetric instability and the development of sting jets Oscar Martinez-Alvarado Sue Gray Laura Baker Department.
Dynamical and Microphysical Evolution of Convective Storms (DYMECS) University: Robin Hogan, Bob Plant, Thorwald Stein, Kirsty Hanley, John Nicol Met Office:
Dust uplift and transport observed during the GERBILS campaign John Marsham 1, Doug Parker 1, Christian Grams 2, Qian Huang 1,3, Sarah Jones 2, Jim Haywood.
Convection Initiative discussion points What info do parametrizations & 1.5-km forecasts need? –Initiation mechanism, time-resolved cell size & updraft.
DYMECS: Dynamical and Microphysical Evolution of Convective Storms (NERC Standard Grant) University of Reading: Robin Hogan, Bob Plant, Thorwald Stein,
1 PV Generation in the Boundary Layer Robert Plant 18th February 2003 (With thanks to S. Belcher)
DYMECS: Dynamical and Microphysical Evolution of Convective Storms (NERC Standard Grant) University of Reading: Robin Hogan, Bob Plant, Thorwald Stein,
Radar Palette Home Click Conventional Post Cold Frontal 1 Equatorward of DCB The DCB tends to sink isentropically as it typically curls anticyclonically.
Department of Physics /Victoria Sinclair Structure and force balance of idealised cold.
Radar Palet e Home Conveyor Belt CM Analysis & Diagnosis 1.
How to “Grow” a Storm Temperature advection is key!
The Problem of Parameterization in Numerical Models METEO 6030 Xuanli Li University of Utah Department of Meteorology Spring 2005.
Cold Fronts and their relationship to density currents: A case study and idealised modelling experiments Victoria Sinclair University of HelsinkI David.
OCEAN CURRENTS AND WEATHER. Oceans currents are created by: surface wind, corliolis effect, land shape, and salt content and temperature of the water.
Midlatitude Cyclones Equator-to-pole temperature gradient tilts pressure surfaces and produces westerly jets in midlatitudes Waves in the jet induce divergence.
Meteo 3: Chapter 12/13 The Cyclone Model: Common characteristics and evolution of mid- latitude lows Read pages , ,
Jennifer Catto Supervisors: Len Shaffrey – NCAS Climate and Kevin Hodges - ESSC The Representation of Extratropical Cyclones in HiGEM.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology The Effect of Turbulence on Cloud Microstructure,
Geophysical Modelling: Climate Modelling How advection, diffusion, choice of grids, timesteps etc are defined in state of the art models.
GFS Deep and Shallow Cumulus Convection Schemes
Urban Meteorology S. E. Belcher Department of Meteorology, University of Reading A. Agusti-Panareda, J. F. Barlow, M. J. Best, O. Coceal, S. L. Gray, I.
Current issues in GFS moist physics Hua-Lu Pan, Stephen Lord, and Bill Lapenta.
© University of Reading 2007www.reading.ac.uk RMetS Student Conference, Manchester September 2008 Boundary layer ventilation by mid-latitude cyclones Victoria.
Diabatic processes and the structure of extratropical cyclones Oscar Martínez-Alvarado R. Plant, J. Chagnon, S. Gray, J. Methven Department of Meteorology.
GardeGarde Designing unified convection parameterizations: two proposals related to equation sets and entrainment. Jean-Marcel Piriou, Météo-France. GCSS.
© Crown copyright 03/2014 Met Office and the Met Office logo are registered trademarks Met Office FitzRoy Road, Exeter, Devon, EX1 3PB United Kingdom Tel:
Cloud Resolving Model Studies of Tropical Deep Convection Observed During HIBISCUS By Daniel Grosvenor, Thomas W. Choularton, & Hugh Coe - The University.
© Crown copyright Met Office Experiences with a 100m version of the Unified Model over an Urban Area Humphrey Lean Reading, UK WWOSC.
Vertical Structure of the Tropical Troposphere (including the TTL) Ian Folkins Department of Physics and Atmospheric Science Dalhousie University.
Non-hydrostatic Numerical Model Study on Tropical Mesoscale System During SCOUT DARWIN Campaign Wuhu Feng 1 and M.P. Chipperfield 1 IAS, School of Earth.
13 June, 2013 Dymecs Meeting, Reading Tropical convective organisation in the UM Chris Holloway NCAS-Climate, Dept. of Meteorology, University of Reading.
DYMECS: Dynamical and Microphysical Evolution of Convective Storms (NERC Standard Grant) University of Reading: Robin Hogan, Bob Plant, Thorwald Stein,
High-Resolution Simulation of Hurricane Bonnie (1998). Part II: Water Budget Braun, S. A., 2006: High-Resolution Simulation of Hurricane Bonnie (1998).
© Crown copyright Met Office High resolution COPE simulations Kirsty Hanley, Humphrey Lean UK.
© Crown copyright Met Office High resolution COPE simulations Kirsty Hanley, Humphrey Lean UK.
Boundary Layer Clouds.
1 Rachel Capon 04/2004 © Crown copyright Met Office Unified Model NIMROD Nowcasting Rachel Capon Met Office JCMM.
High-Resolution Simulation of Hurricane Bonnie (1998). Part II: Water Budget SCOTT A. BRAUN J. Atmos. Sci., 63,
APR CRM simulations of the development of convection – some sensitivities Jon Petch Richard Forbes Met Office Andy Brown ECMWF October 29 th 2003.
Contrasting potential vorticity structures in two summer extratropical cyclones Oscar Martínez-Alvarado NCAS-Atmospheric Physics Sue Gray John Methven.
Page 1© Crown copyright 2005 DEVELOPMENT OF 1- 4KM RESOLUTION DATA ASSIMILATION FOR NOWCASTING AT THE MET OFFICE Sue Ballard, September 2005 Z. Li, M.
A. Laurian S. Drijfhout W. Hazeleger B. van den Hurk Response of the western European climate to a THC collapse Koninklijk Nederlands Meteorologisch Instituut,
Page 1© Crown copyright 2006 Boundary layer mechanisms in extra-tropical cyclones Bob Beare.
© University of Reading 2006www.reading.ac.uk11 April 2008 Boundary layer ventilation by baroclinic systems Victoria Sinclair Suzanne Gray & Stephen Belcher.
High resolution models: Tropical Convection and Transport through the Tropical Tropopause Layer Maria Russo, Scott Hosking, Peter Braesicke, John Pyle.
Forecast errors associated with midlatitude weather systems Heini Wernli – ETH Zurich With contributions from: Christian Grams, Hanna Joos, Erica Madonna,
A modeling study of cloud microphysics: Part I: Effects of Hydrometeor Convergence on Precipitation Efficiency. C.-H. Sui and Xiaofan Li.
Mesoscale Applications for Microscale Model?
Tropical Convection and MJO
The Met Office aqua-planet runs using pre-HadGAM1
Shifting the diurnal cycle of parameterized deep convection over land
Seamless turbulence parametrization across model resolutions
Water Budget of Typhoon Nari(2001)
A New Method for Evaluating Regional Air Quality Forecasts
RMetS Atmospheric Science Conference 2018 Lewis Blunn
Weather forecasting in a coupled world
Baroclinic and barotropic annular modes
Peter Lean1 Suzanne Gray1 Peter Clark2
The Water Cycle Continues
The Flux Model of Orographic Rain
Presentation transcript:

Moisture Transport in Baroclinic Waves Ian Boutle a, Stephen Belcher a, Bob Plant a Bob Beare b, Andy Brown c 24 April 2014 a University of Reading; b University of Exeter; c Met Office

Motivation & Aims Boundary layer couples the surface to the free troposphere – how does it link surface moisture fluxes to mid-level moisture? Cyclones bring heavy rain on their warm-conveyor belts – what is the source of this moisture? Cyclone waves are responsible for transporting moisture poleward on climatological timescales – how is this transport achieved at the scale of individual systems? 2

Model Setup Met Office Unified Model (MetUM) is used in Idealised mode 0.4° horizontal resolution (~44 km grid squares) 38 vertical levels with a well resolved boundary layer Boundary-layer scheme of Lock et al. with nonlocal mixing in CBL & cumulus/stratocumulus decoupling Mass-flux convection, mixed phase microphysics, large-scale cloud Sea-surface with fixed temperature 3

Initial Conditions Winds and Temperature:Specific Humidity: 4 Match closely climatological winter zonal-mean – perturb at wavenumber-6 to create LC1-type cyclone

5 Cloud Fraction and Rainrate over 14 days of the life cycle Life cycle

Boundary-Layer Moisture Budget Rate of change of total moisture in boundary layer Eulerian change in boundary-layer height Advection across boundary-layer top Horizontal divergence within the boundary layer Net vertical transport by boundary-layer turbulence Source and sink from microphysical processes 6

Flow across BL Top Large scale advection:Cumulus Convection: 7 WCB Frontal outflow and ascent Large amount of ventilation

Movement and sources Divergence in BL:Turbulent Flux: 8 Evaporation is main input Negative E WCB source

Conceptual Model 9

Ventilation of Moisture Warm-conveyor belt and shallow convection can ventilate similar amounts of moisture from the boundary layer Rainfall rate closely matches warm-conveyor belt ventilation – moisture is precipitated out quickly and efficiently 10

Transport in Troposphere 2 tracers emitted at surface and passed through different parameterisations. Tracer passed through Convection scheme gets advected with background flow towards cyclone cold front and poleward 11 Tracer difference at 3km – (All param – no convection)

Conclusions Moisture source for warm-conveyor belt precipitation lies well away from the cyclone Shallow convection adds a new pathway for ventilation and transport from regions with large surface evaporation Shallow convection equally important for ventilation and contributes to poleward moisture transport – consequences for climate models since this transport is done in a parameterisation! 12