© Crown copyright Met Office Assessing microphysics schemes with the 1D Kinematic Driver (KiD) Reading meeting Ben Shipway 18th Nov 2009.

Slides:

Advertisements

Similar presentations

© Crown copyright 2006Page 1 CFMIP II sensitivity experiments Mark Webb (Met Office Hadley Centre) Johannes Quaas (MPI) Tomoo Ogura (NIES) With thanks.

Advertisements

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

© Crown copyright Met Office Cloudier Evaluating a new GCM prognostic cloud scheme using CRM data Cyril Morcrette, Reading University, 19 February 2008.

Robin Hogan (with input from Anthony Illingworth, Keith Shine, Tony Slingo and Richard Allan) Clouds and climate.

A Winter Season Physical Evaluation of the Effects of Cloud Seeding in the Colorado Mountains William R. Cotton, Ray McAnelly, and Gustavo Carrió Colorado.

Simulating cloud-microphysical processes in CRCM5 Ping Du, Éric Girard, Jean-Pierre Blanchet.

Toward Improving Representation of Model Microphysics Errors in a Convection-Allowing Ensemble: Evaluation and Diagnosis of mixed- Microphysics and Perturbed.

Precipitation Formation How can precipitation form from tiny cloud drops? 1.Warm rain process 2.The Bergeron (ice crystal) process 3.Ice multiplication.

The Impact of Ice Microphysics on the Genesis of Hurricane Julia (2010) Stefan Cecelski 1 and Dr. Da-Lin Zhang Department of Atmospheric and Oceanic Science.

Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.

Chapter 24 Water in the Atmosphere $200 $400 $600 $800 $1000 $200 $400 $600 $800 $1000 $200 $400 $600 $800 $1000 $200 $400 $600 $800 $1000 Category 1Category.

Moist Processes ENVI1400: Lecture 7. ENVI 1400 : Meteorology and Forecasting2 Water in the Atmosphere Almost all the water in the atmosphere is contained.

© Crown copyright Met Office Developments in UM Microphysics Jonathan Wilkinson Reading and Met Office Collaboration, 17 November 2009.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology The Effect of Turbulence on Cloud Microstructure,

Cloud-scale modelling at Manchester during VOCALS P. Connolly, G. Vaughan, J. Crosier etc.

© Crown copyright Met Office Overview of Cloud Scheme Developments at the Met Office Cyril Morcrette November 2009, Reading University.

© Crown copyright Met Office Met Office SCM and CRM results Adrian Lock, Met Office, UK.

Numerical Simulations of Snowpack Augmentation for Drought Mitigation Studies in the Colorado Rocky Mountains William R. Cotton, Ray McAnelly, and Gustavo.

© Crown copyright Met Office UM Drizzle 5 minute presentation Jonathan Wilkinson, Reading and Met Office Collaboration, 19 February 2008.

1 00/XXXX © Crown copyright Update on the Met Office forecast model. Damian Wilson, Met Office.

Aerosol effects on rain and hail formation and their representation using polarimetric radar signatures Eyal Ilotovich, Nir Benmoshe and Alexander Khain.

© Crown copyright Met Office Improving forecasting of disruption due to convection within UK airspace Paul Maisey and Katie Brown ECAM, European Meteorological.

Acknowledgments This research was supported by the DOE Atmospheric Radiation Measurements Program (ARM) and by the PNNL Directed Research and Development.

WRF Microphysics Scheme Sensitivity Discussion

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.

Using TWP-ICE Observations and CRM Simulations to Retrieve Cloud Microphysics Processes Xiping Zeng 1,2, Wei-Kuo Tao 2, Shaocheng Xie 3, Minghua Zhang.

Bin resolved modeling of ice microphysics Wolfram Wobrock, Andrea Flossmann Workshop on Measurement Problems in Ice Clouds Zurich, Switzerland July 5-6,

A preliminary experiment on the simulation of thunderstorm electrification through GRAPES Yijun Zhang Chinese Academy of Meteorological Sciences, Beijing,

Vocals_vis_loop. UK - VOCALS Meeting Manchester 10 th March 2009 Leeds Activities and Plans Mirek Andrejczuk, Alan Blyth, Ralph Burton, Alan Gadian, Patricia.

WMO workshop, Hamburg, July, 2004 Some aspects of the STERAO case study simulated by Méso-NH by Jean-Pierre PINTY, Céline MARI Christelle BARTHE and Jean-Pierre.

DYMECS: Dynamical and Microphysical Evolution of Convective Storms (NERC Standard Grant) University of Reading: Robin Hogan, Bob Plant, Thorwald Stein,

The three-dimensional structure of convective storms Robin Hogan John Nicol Robert Plant Peter Clark Kirsty Hanley Carol Halliwell Humphrey Lean Thorwald.

LIDAR OBSERVATIONS CONSTRAINT FOR CIRRUS MODELISATION IN Large Eddy Simulations O. Thouron, V. Giraud (LOA - Lille) H. Chepfer, V. Noël(LMD - Palaiseau)

Page 1© Crown copyright A comparison of CRM simulations of trade wind cumulus with aircraft observations taken during RICO Steve Abel and Ben Shipway 21.

Types of Precipitation Precipitation comes in two forms Precipitation comes in two forms Liquid – rain, drizzle Liquid – rain, drizzle Solid - freezing.

Water in the Atmosphere + Weather Chapter Latent heat – Evaporation (__  ___)& Condensation (__  ___) Sublimation – Deposition NO LIQUID PHASE!

© Crown copyright Met Office CGILS: Met Office LES results Adrian Lock, Met Office, UK.

Page 1© Crown copyright 2005 Damian Wilson, 12 th October 2005 Assessment of model performance and potential improvements using CloudNet data.

LES Intercomparison Case of Precipitating Shallow Cumulus Margreet van Zanten, Bjorn Stevens, Pier Siebesma, Louise Nuijens A.S. Ackerman, H. Jiang, D.

APR CRM simulations of the development of convection – some sensitivities Jon Petch Richard Forbes Met Office Andy Brown ECMWF October 29 th 2003.

Yuqing Wang Department of Meteorology, University of Hawaii The 65 th IHC, February 28-March 3, 2011.

Investigation of Microphysical Parameterizations of Snow and Ice in Arctic Clouds During M-PACE through Model- Observation Comparisons Amy Solomon 12 In.

Update on the 2-moment stratiform cloud microphysics scheme in CAM Hugh Morrison and Andrew Gettelman National Center for Atmospheric Research CCSM Atmospheric.

Update on progress with the implementation of a new two-moment microphysics scheme: Model description and single-column tests Hugh Morrison, Andrew Gettelman,

Chien Wang Massachusetts Institute of Technology A Close Look at the Aerosol-Cloud Interaction in Tropical Deep Convection.

© Crown copyright Met Office CFMIP-GCSS Intercomparison of SCM/LES (CGILS) Results for the HadGEM2 SCM Mark Webb and Adrian Lock (Met Office) EUCLIPSE/GCSS.

Page 1© Crown copyright 2006 Precipitating Shallow Cumulus Case Intercomparison For the 9th GCSS Boundary Layer Cloud Workshop, September 2006, GISS.

Jason Milbrandt Recherche en Prévision Numérique [RPN] Meteorological Research Division, Environment Canada GEM Workshop, June 12, 2007 Multi-Moment Cloud.

Control Run Precipitation Comparison John D. McMillen.

SIMULATION OF AEROSOL EFFECTS ON CONVECTIVE CLOUDS UNDER CONTINENTAL AND MARITIME CONDITIONS Alexander Khain, Andrei Pokrovsky and Daniel Rosenfeld Institute.

Parameterization of cloud droplet formation and autoconversion in large-scale models Wei-Chun Hsieh Advisor: Athanasios Nenes 10,Nov 2006 EAS Graduate.

Development of a detailed ice melting scheme within bin microphysics in a 3D cloud model: An analysis based on an idealized simulation case C. Planche.

Earth Science Chapter 18.1 – Water in the Atmosphere

Franklin, C. N., G. J. Holland, and P. T. May, 2005: Sensitivity of tropical cyclone rainbands to ice-phase microphysics. Mon. Wea. Rev., 133,

Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes.

1 Detailed Microphysical Model Simulations of Freezing Drizzle Formation Istvan Geresdi Roy Rasmussen University of Pecs, Hungary NCAR Research funded.

Part II: Implementation of a New Snow Parameterization EXPLICIT FORECASTS OF WINTER PRECIPITATION USING AN IMPROVED BULK MICROPHYSICS SCHEME Thompson G.,

Diagnosing latent heating rates from model and in-situ microphysics data: Some (very) early results Chris Dearden University of Manchester DIAMET Project.

Investigating Cloud Inhomogeneity using CRM simulations.

Bellwork 4/3 Welcome Back 

OBR: Cloud Physics Research

Convective Scale Modelling Humphrey Lean et. al

Graupel and Lightning Forecasting in the 1.5km UKV Model

Three-category ice scheme

Microphysics of Cold Clouds

23-3 Precipitation.

Sensitivity of WRF microphysics to aerosol concentration

CIRRUS IN LEM & LARGE-SCALE MODELS

Sensitivity of idealized squall-line simulations to the level of complexity used in two-moment bulk microphysics schemes. Speaker: Huan Chen Professor:

Presentation transcript:

© Crown copyright Met Office Assessing microphysics schemes with the 1D Kinematic Driver (KiD) Reading meeting Ben Shipway 18th Nov 2009

© Crown copyright Met Office Acknowledgements Adrian Hill, Jonathan Wilkinson Hugh Morrison, Greg Thompson Brad Ferrier, Weiguo Wang Various other people working with the model.

© Crown copyright Met Office Segal’s Law: A man with a watch know what time it is. A man with two watches is never sure!

© Crown copyright Met Office KiD 1D driver code Kinematic Driver code written with a simple interface to a common dynamical core Developed to facilitate the testing of a range of microphysics schemes in a consistent way Several simple test cases are supplied to test a range of microphysical situations, e.g. deep convection, warm rain cumulus, drizzling stratocumulus, mixed-phase stratocumulus Examples of current applications Comparison between CRM and hi-resolution operational microphysics schemes – enables fast detailed analysis of process rates. GCSS SHEBA intercomparison case – provides initial analysis of proposed sensitivity tests. Also highlights any significant differences in the processes of the different schemes. Development of microphysics codes – enables extensive testing of schemes over a wide parameter space, highlighting sensitivities and also bugs.

Warm case © Crown copyright Met Office

Surface precip. for 50 cm -3

© Crown copyright Met Office kg m -2 s -1

© Crown copyright Met Office kg m -2 s -1

© Crown copyright Met Office UM and graupel Test cases: deep1

© Crown copyright Met Office

Contents MicrophysicsPeak graupel mixing ratio (x10 -3 kg/kg) LEM SM7.3 LEM DM6.5 Morrison10.2 Thompson11.2 UM Ice+Snow0.8 UM Snow0.8

© Crown copyright Met Office graupel processes not included in UM Deposition and sublimation of graupel The wet mode of graupel growth. Collection of ice crystals (only collection of aggregates is assumed) Freezing of rain

© Crown copyright Met Office

Same order of magnitude as LEM piacr_g. In UM this process produces more snow…

© Crown copyright Met Office SHEBA and ice processes Test cases: mixed1

Mixed-phase supercooled sc © Crown copyright Met Office

UCLA-LARCLEM WSM6UM

© Crown copyright Met Office 1D model: mixed1 UCLA-LARC LEM Modifying Morrison ice autoconversion scheme to not depend upon humidity and turning off droplet sedimentation can bring the two schemes into better agreement

Evaluation against observations Sheba (GCSS) Wave clouds Lagrangian descents (CONSTRAIN) © Crown copyright Met Office

Questions and answers