RF02 SCM Intercomparison Coordinators: Matt Wyant and Chris Bretherton, UW Results submitted to date by: Andreas Chlond, MPI-Hamburg Hitoru Kitagawa, JMA.

Slides:

Advertisements

Similar presentations

1 Drizzle rates inferred from CloudSat & CALIPSO compared to their representation in the operational Met Office and ECMWF forecast models. Lee Hawkness-Smith.

Advertisements

Veldhoven, Large-eddy simulation of stratocumulus – cloud albedo and cloud inhomogeneity Stephan de Roode (1,2) & Alexander Los (2)

A new unified boundary-layer scheme for RACMO: The DualM-TKE scheme Stephan de Roode with contributions from Geert Lenderink Roel Neggers Reinder Ronda.

Evaluating parameterized variables in the Community Atmospheric Model along the GCSS Pacific cross-section during YOTC Cécile Hannay, Dave Williamson,

1 CIRA/NOAA/ESRL, Boulder, CO

Parametric representation of the hydrometeor spectra for LES warm bulk microphysical schemes. Olivier Geoffroy, Pier Siebesma (KNMI), Jean-Louis Brenguier,

Modeling Stratocumulus Clouds: From Cloud Droplet to the Meso-scales Stephan de Roode Clouds, Climate & Air Quality Multi-Scale Physics (MSP), Faculty.

GFDL Geophysical Fluid Dynamics GFDL Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey AM2 cloud sensitivity to details of convection and cloud.

What have we learned from CGILS? CFMIP/GCSS/EUCLIPSE Meeting, Exeter, 6 th -10 th June 2011 Minghua Zhang, Chris Bretherton, Peter Blossey Phil Austin,

Low clouds in the atmosphere: Never a dull moment Stephan de Roode (GRS) stratocumulus cumulus.

Preliminary Experiments with a Dynamics-Based PDF Parameterization for Boundary Layers and Associated Clouds in GCMs Leo Donner, Huan Guo, and Chris Golaz.

      Brian A. Colle*, Yanluan Lin*, Justin B. Wolfe*, W. James David E. Kingsmill +, Mark Stoelinga, and Chris Woods # *Stony Brook.

© Crown copyright Met Office Cloud parametrization: current issues relating to microphysics Adrian Lock.

Low-Latitude Cloud Feedbacks CPT Chris Bretherton University of Washington, Seattle, USA Goal: Better simulation and understanding of low- latitude [boundary.

The role of the mean relative humidity on the dynamics of shallow cumuli - LES Sensitivity experiments Stephan de Roode (KNMI/IMAU) Simon Axelsen (IMAU)

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

GCSS BLCWG update Chris Bretherton, BLCWG Chair Thanks to Andy Ackerman (LES case leader) Margreet vanZanten/Bjorn Stevens SCM and LES case participants.

IACETH Institute for Atmospheric and Climate Science Boundary Layer parametrisation in the climate model ECHAM5-HAM Colombe Siegenthaler - Le Drian, Peter.

Boundary layer parameterization and climate Chris Bretherton University of Washington.

Page 1© Crown copyright 2005 RF01/RF02: LES sensitivity studies Adrian Lock and Eoin Whelan.

The CFMIP-GCSS SCM/LES Case Study: Overview and Preliminary Results Minghua Zhang (Stony Brook University) Julio Bacmeister, Sandrine Bony, Chris Bretherton,

EPIC 2001 SE Pacific Stratocumulus Cruise 9-24 October 2001 Chris Bretherton and Sandra Yuter (U. Wash.) Chris Fairall, Taneil Uttal (NOAA/ETL) Bob Weller.

Why are we here, at the UCLA Conf. Center in June 2005? What is the best way of representing the physics of the atmospheric PBL in weather and climate.

WG on role of PBL in deep convection Thanks to all WG participants for a fine discussion and Steve Klein for note-taking.

RF02 How does it look in the Dutch LES? Margreet van Zanten Thanks to Stephan de Roode and Pier Siebesma.

Re-examining links between aerosols, cloud droplet concentration, cloud cover and precipitation using satellite observations Robert Wood University of.

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.

Scientific Advisory Committee Meeting, November 25-26, 2002 Large-Eddy Simulation Andreas Chlond Department Climate Processes.

The representation of stratocumulus with eddy diffusivity closure models Stephan de Roode KNMI.

The VOCALS Assessment (VOCA) Matt Wyant, Chris Bretherton, Rob Wood Department of Atmospheric Sciences University of Washington Scott Spak, U. Iowa (Emissions)

A dual mass flux framework for boundary layer convection Explicit representation of cloud base coupling mechanisms Roel Neggers, Martin Köhler, Anton Beljaars.

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.

EPIC 2001 SE Pacific Stratocumulus Cruise 9-24 October 2001 Rob Wood, Chris Bretherton and Sandra Yuter (University of Washington) Chris Fairall, Taneil.

The ASTEX Lagrangian model intercomparison case Stephan de Roode and Johan van der Dussen TU Delft, Netherlands.

Forecast simulations of Southeast Pacific Stratocumulus with CAM3 and CAM3-UW. Cécile Hannay (1), Jeffrey Kiehl (1), Dave Williamson (1), Jerry Olson (1),

Lecture 15, Slide 1 Physical processes affecting stratocumulus Siems et al

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.

Met Office GPCI simulations Adrian Lock. © Crown copyright UK Met Office simulations in GPCI  HadGAM1 climate – for IPCC AR4  38 levels (~300m at 1km),

Sensitivity to the PBL and convective schemes in forecasts with CAM along the Pacific Cross-section Cécile Hannay, Jeff Kiehl, Dave Williamson, Jerry Olson,

Modeling Mesoscale Cellular Structures and Drizzle in Marine Stratocumulus Wang and Feingold, JAS, 2009 Part I,II Wang et al, ACP, 2010 Feingold et al,

Yuqing Wang and Chunxi Zhang International Pacific Research Center University of Hawaii at Manoa, Honolulu, Hawaii.

Modeling of warm-rain microphysics and dynamics-microphysics interactions with EULAG-based Large Eddy Simulation model W. W. Grabowski 1, A. A. Wyszogrodzki.

The set up of the RICO intercomparison case Louise Nuijens, A. Pier Siebesma and Margreet van Zanten Photo courtesy Bjorn Stevens KNMI and Wageningen University,

LES modeling of precipitation in Boundary Layer Clouds and parameterisation for General Circulation Model O. Geoffroy J.L. Brenguier CNRM/GMEI/MNPCA.

Using WRF-Chem to understand interactions between synoptic and microphysical variability during VOCALS Rhea George, Robert Wood University of Washington.

CGILS Updated Results GCSS-BLCWG Meeting, September 29-30, 2010 KNMI Minghua Zhang, Chris Bretherton, Peter Blossey Phil Austin, Julio Bacmeister, Sandrine.

CGILS Updated Results GCSS-BLCWG Meeting, September 29-30, 2010 KNMI Minghua Zhang (Stony Brook University) Julio Bacmeister, Sandrine Bony, Chris Bretherton,

Limits to Aerosol Indirect Effects in marine low clouds

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

Stephan de Roode The art of modeling stratocumulus clouds.

The EPIC 2001 SE Pacific Stratocumulus Cruise: Implications for Cloudsat as a stratocumulus drizzle meter Rob Wood, Chris Bretherton and Sandra Yuter (University.

© 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.

A simple parameterization for detrainment in shallow cumulus Hirlam results for RICO Wim de Rooy & Pier Siebesma Royal Netherlands Meteorological Institute.

Many models show a substantial drop off in droplet number away from the coast as is observed. Models’ vertical distribution of droplet number is surprisingly.

Integration of models and observations of aerosol-cloud interactions Robert Wood University of Washington Robert Wood University of Washington.

Vertical resolution of numerical models

Integration of models and observations of aerosol-cloud interactions

Microphysical-macrophysical interactions or Why microphysics matters

VEPIC Update Goals and methods Targeted extended time observations

Sungsu Park, Christopher S. Bretherton, Phil J. Rasch

Robert Wood University of Washington

Entrainment rates in stratocumulus computed from a 1D TKE model

EPIC 2001 SE Pacific Stratocumulus Cruise 9-24 October 2001 Rob Wood, Chris Bretherton and Sandra Yuter (University of Washington) Chris Fairall, Taneil.

EPIC 2001 SE Pacific Stratocumulus Cruise 9-24 October 2001 Rob Wood, Chris Bretherton and Sandra Yuter (University of Washington) Chris Fairall, Taneil.

Integration of models and observations of aerosol-cloud interactions

VEPIC Update Goals and methods Targeted extended time observations

EPIC 2001 SE Pacific Stratocumulus Cruise 9-24 October 2001 Rob Wood, Chris Bretherton and Sandra Yuter (University of Washington) Chris Fairall, Taneil.

Global Climate Response to Anthropogenic Aerosol Indirect Effects

Presentation transcript:

RF02 SCM Intercomparison Coordinators: Matt Wyant and Chris Bretherton, UW Results submitted to date by: Andreas Chlond, MPI-Hamburg Hitoru Kitagawa, JMA Cara-Lyn Lappen, CSU Vince Larson, UW-Milwaukee Adrian Lock, UKMO Stephan de Roode, KNMI

Participating SCMs NameSCMTurbulenceCld. Frac. Microphys. AustinCCCMa4? ChlondECHAM4-5 moist TKE + w e pdfSundquist KitagawaJMA 1 st -order KRH-pdfSundquist LappenCAM3 [CAM3+UW] Nonlocal, sfc-based. K-profile, explicit-w e RH/stab RH Autoconv./coll., N = 65 cm -3 Larson2GPDF-HOC From pdfKhair.-Kogan w. joint pdf LockUKMO Nonlocal, explicit-w e RH-pdfAutoconv./coll., N = 100 cm -3 MenonGISS SCM Dry adjustmentRH/stabAutoconv./coll. (del Genio) Roode RACMO [EC CY23R4] K-profile, explicit-w e Tiedtke Sundquist, P  LWC

Case description Identical to LES case except suggested sensitivity studies: Vertical resolution : –LR: ‘Operational’  z,  t. –HR:  z =10 m,  t = 5 s Precipitation (P) vs. no precipitation (NP) Cu convection allowed (C) vs. no Cu (NC) Most SCMs don’t allow aerosol, CCN, or droplet number to be specified. Interest in relation of drizzle to LWP as well as their evolution. Results are preliminary and have known omissions, glitches.

LR-P-C (Default) Initialization Mainly fine. JMA loses cloud fast. UKMO drizzles a lot. CAM doesn’t have u g. RACMO dry above PBL.

LR-P-C Evolution LWPs  g m -2 except for JMA, RACMO. All models but JMA hold onto cloud. High-LWP models range from 0-1 mm d -1 drizzle.

Surface drizzle vs. LWP Diverse sensitivities. Microphysical parameterizations or droplet size assumptions?

Cloud-base drizzle vs. LWP Max(drizzle flux profile) Isolates production (vs. evap.)

High-resolution (HR-P-C) results Results broadly similar to LR. JMA holds onto cloud better. CAM and CAM-UW have higher LHF/LWP/drizzle.

HR surface drizzle vs. LWP Same diversity as LR.

Precip vs. no-precip sensitivity studies In drizzly models (except JMA), LWP increased substantially by drizzle suppression.

Summary SCMs display a wide variety of drizzle-LWP sensitivities, scattering on both sides of observations. In some SCMs, drizzle is substantially reducing LWP. Most SCMs could not specify 65 cm -3 cloud droplet concentration. Overall, the case specifications seem effective. Specified surface fluxes and interactive radiative cooling profiles would have been easier for SCMs.