Cloud droplet activation schemes. Motivation Met Office: UM new microphysics (4a scheme), linked to aerosols via parameterisations. Also WRF uses similar.

Slides:



Advertisements
Similar presentations
Coupled Arctic Regional Atmosphere-Ocean-Sea Ice Model Minwei Qian and Colin Jones.
Advertisements

To understand what happens to water in the River Forth
4. First look Initial analysis of contrasting timeseries (Figure 2) shows: Shorter timescales have a smaller range of mass fluxes with lower maxima and.
Predictable Chaotic Exhibits memory Equilibrium Towards non-equilibrium Acknowledgements LD is supported by NERC CASE award NER/S/A/2004/ Conclusions.
Ewan OConnor, Robin Hogan, Anthony Illingworth Drizzle comparisons.
Moisture Transport in Baroclinic Waves Ian Boutle a, Stephen Belcher a, Bob Plant a Bob Beare b, Andy Brown c 24 April 2014.
Simulating cloud-microphysical processes in CRCM5 Ping Du, Éric Girard, Jean-Pierre Blanchet.
7Ie The water cycle Click on part of the picture to find out more.
URBAN GROWTH AND AEROSOL EFECTS ON CONVECTION OVER HOUSTON Gustavo G. Carrió, William R. Cotton, William Y. Cheng, and Steve M. Saleeby Colorado State.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
© Crown copyright Met Office Assessing microphysics schemes with the 1D Kinematic Driver (KiD) Reading meeting Ben Shipway 18th Nov 2009.
Sensitivity of cloud droplet nucleation to kinetic effects and varying updraft velocity Ulrike Lohmann, Lisa Phinney and Yiran Peng Department of Physics.
© Crown copyright Met Office Developments in UM Microphysics Jonathan Wilkinson Reading and Met Office Collaboration, 17 November 2009.
Hector simulation We found simulation largely depending on: Model initialization scheme Lateral boundary conditions Physical processes represented in the.
Cloud-scale modelling at Manchester during VOCALS P. Connolly, G. Vaughan, J. Crosier etc.
Motivation Sensitivity of Precipitation to Aerosol Concentration. (Based partly on 2 d results). Theory: Precipitation occurring in a “maritime” airmass.
Modelling the Microphysical Sensitivities of Storm Dynamics Tim Baker Supervisors: Peter Knippertz & Alan Blyth.
By Jennifer Francey. Contents Required 1 x Large deep round bowl 1 x Small Square bowl 3 x Coins Table Salt Food Colouring Tray of ice Cling film Scissors.
1
Acknowledgments This research was supported by the DOE Atmospheric Radiation Measurements Program (ARM) and by the PNNL Directed Research and Development.
Simulation of Below-cloud and In-cloud Aerosol Scavenging in ECHAM5-HAM Betty Croft, Ulrike Lohmann, Philip Stier, Sabine Wurzler, Sylvaine Ferrachat,
Microphysics complexity in squall line simulations. As high-resolution climate models increasingly turn towards an explicit representation of convection,
Thompson Runs Precipitation Comparison John D. McMillen.
Cloud Resolving Model Studies of Tropical Deep Convection Observed During HIBISCUS By Daniel Grosvenor, Thomas W. Choularton, & Hugh Coe - The University.
Comparing droplet activation parameterisations against adiabatic parcel models using a novel inverse modelling framework Warsaw: April 20 th 2015: Eulerian.
WRF exercise 1 Kessler μ-physics scheme vs Thompson μ-physics scheme Isaac Hankes Joseph Ching.
Aerosols in WRF-CHEM Eric Stofferahn George Mason University _07:00:00 (UTC)
Paper 1: UHI from Beijing Jin, S. M. 2012: Developing an Index to Measure Urban Heat Island Effect Using Satellite Land Skin Temperature and Land Cover.
An ensemble study of HyMeX IOP6 and IOP7a Alan Hally (1,2), Evelyne Richard (1), Véronique Ducrocq (2) (1)LA, University of Toulouse, France (2)CNRM, Météo-France,
Page 1© Crown copyright 2006 Ice hydrometeor microphysical parameterisations in NWP Amy Doherty T. R. Sreerekha, Una O’Keeffe, Stephen English October.
Morrison/Gettelman/GhanAMWG January 2007 Two-moment Stratiform Cloud Microphysics & Cloud-aerosol Interactions in CAM H. Morrison, A. Gettelman (NCAR),
Edward Mansell National Severe Storms Laboratory Donald MacGorman and Conrad Ziegler National Severe Storms Laboratory, Norman, OK Funding sources in the.
Cloud Microphysics Liz Page NWS/COMET Hydromet February 2000.
A study of ice formation by primary nucleation and ice multiplication in shallow precipitating embedded convection T. Choularton 1, I. Crawford 1, C. Dearden.
What do we use water for?. The Water Cycle We are learning to: Explain how rain is formed. Judge how important water is to our lives.
Are Clouds Really Made From Mashed Potatoes?
Cloud-mediated radiative forcing of climate due to aerosols simulated by newly developed two-way coupled WRF-CMAQ during 2006 TexAQS/GoMACCS over the Gulf.
APR CRM simulations of the development of convection – some sensitivities Jon Petch Richard Forbes Met Office Andy Brown ECMWF October 29 th 2003.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Poster Presentation Working Group 3: Physical Aspects.
Atmospheric Modeling and Analysis Division,
Using WRF-Chem to understand interactions between synoptic and microphysical variability during VOCALS Rhea George, Robert Wood University of Washington.
Particle Size, Water Path, and Photon Tunneling in Water and Ice Clouds ARM STM Albuquerque Mar Sensitivity of the CAM to Small Ice Crystals.
Update on the 2-moment stratiform cloud microphysics scheme in CAM Hugh Morrison and Andrew Gettelman National Center for Atmospheric Research CCSM Atmospheric.
Simulation of the indirect radiative forcing of climate due to aerosols by the two-way coupled WRF-CMAQ model over the continental United States: Preliminary.
Towards parameterization of cloud drop size distribution for large scale models Wei-Chun Hsieh Athanasios Nenes Image source: NCAR.
Update on progress with the implementation of a new two-moment microphysics scheme: Model description and single-column tests Hugh Morrison, Andrew Gettelman,
Unit 8: Water Works Theme 15: The Wonderful Changes of Water
The Water Cycle. What process of the water cycle is being shown here? Condensation Evaporation.
SIMULATION OF AEROSOL EFFECTS ON CONVECTIVE CLOUDS UNDER CONTINENTAL AND MARITIME CONDITIONS Alexander Khain, Andrei Pokrovsky and Daniel Rosenfeld Institute.
© Crown copyright Met Office Southern Ocean surface flux biases in GCMs Keith Williams, Alejandro Bodas-Salcedo & Patrick Hyder SOCRATES workshop 18/03/14.
Parameterization of cloud droplet formation and autoconversion in large-scale models Wei-Chun Hsieh Advisor: Athanasios Nenes 10,Nov 2006 EAS Graduate.
Aerosol 1 st indirect forcing in the coupled CAM-IMPACT model: effects from primary-emitted particulate sulfate and boundary layer nucleation Minghuai.
I NVESTIGATION OF THE IMPACT OF M ICROPHYSICS O PTIONS ON I DEALIZED WRF S UPERCELL Catrin M. Mills Sara T. Strey-Mellema.
COPE PRESENTATION Process Modeling and Ice Nuclei.
© Crown copyright Met Office Systematic Biases in Microphysics: observations and parametrization Ian Boutle, Steven Abel, Peter Hill, Cyril Morcrette QJ.
© Crown copyright Met Office Convection Permitting Modelling Humphrey Lean et al. Reading, UK Leeds April 2014.
Korea Institute of Atmospheric Prediction Systems (KIAPS) ( 재 ) 한국형수치예보모델개발사업단 Comparison of Radiation Schemes Using a Single Colum Model Joonsuk Lee Jung-Yoon.
Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes.
B3. Microphysical Processes
Diagnosing latent heating rates from model and in-situ microphysics data: Some (very) early results Chris Dearden University of Manchester DIAMET Project.
QPF sensitivity to Runge-Kutta and Leapfrog core
H. Morrison, A. Gettelman (NCAR) , S. Ghan (PNL)
A sensitivity study of the sea ice simulation in the global coupled climate model, HadGEM3 Jamie Rae, Helene Hewitt, Ann Keen, Jeff Ridley, John Edwards,
COSMICS Cold-air outbreak sorties
The DYMECS project A statistical approach for the evaluation of convective storms in high-resolution models Thorwald Stein, Robin Hogan, John Nicol, Robert.
Convective Scale Modelling Humphrey Lean et. al
Three-category ice scheme
Atmospheric Modeling and Analysis Division,
Sensitivity of WRF microphysics to aerosol concentration
CIRRUS IN LEM & LARGE-SCALE MODELS
Presentation transcript:

Cloud droplet activation schemes

Motivation Met Office: UM new microphysics (4a scheme), linked to aerosols via parameterisations. Also WRF uses similar schemes. Flights over Irish Sea (notable fluxes of sea spray through cloud base) Ice processes, especially the HM process, are sensitive to the drop concentration: warm rain-> graupel-> ice multiplication. Two main parameterisations: –ARG widely used in models –FN less widely used (slightly more expensive) –FN with quadrature (developed by us, slightly more expensive again) –Compare to ACPIM parcel model

Good agreement here

Reasonable agreement here For example what happens when add some salt (large diameter)

For example what happens when add more salt (large diameter) Basically schemes underestimate activated number

For example what happens when add salt with small diameter Log scale: ARG underestimates significantly Remove the salt mode: ARG predicts that less activate when you add sea spray

F-N doesnt always work: but if quadrature is used it is better

Questions Can we constrain data from measurements and use to run large models? Aspects that werent well simulated? Snowing at the airport? Should we be use Fountoukis and Nenes with quadrature within models?