Improved Climate Simulations with Modified Convection Scheme: What’s Next? Xiaoqing Wu (ISU) and Guang Jun Zhang (SIO) Supported by DOE CCPP, ARM and NSF.

Slides:



Advertisements
Similar presentations
ECMWF Training Course Peter Bechtold and Christian Jakob
Advertisements

1 Numerical Weather Prediction Parameterization of diabatic processes Convection III The ECMWF convection scheme Christian Jakob and Peter Bechtold.
Convection plans Alison Stirling.
Parameterization of convective momentum transport and energy conservation in GCMs N. McFarlane Canadian Centre for Climate Modelling and Analysis (CCCma.
The Role of High-value Observations for Forecast Simulations in a Multi- scale Climate Modeling Framework Gabriel J. Kooperman, Michael S. Pritchard, and.
Influence of the Subcloud Layer on the Development of a Deep Convective Ensemble Boing et al., 2012.
The Problem of Parameterization in Numerical Models METEO 6030 Xuanli Li University of Utah Department of Meteorology Spring 2005.
Double ITCZ Phenomena in GCM’s Marcus D. Williams.
GFDL Geophysical Fluid Dynamics GFDL Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey AM2 cloud sensitivity to details of convection and cloud.
Benjamin A. Schenkel and Robert E. AMS Tropical Conference 2012 Department of Earth, Ocean, and Atmospheric Science.
Tropical Water Vapor and Cloud Feedbacks in CCSM3.5: A Preliminary Evaluation D.-Z. Sun and T. Zhang University of Colorado & National Oceanic & Atmospheric.
Design and evaluation of the National Institute for Environmental Studies (NIES) transport model Dmitry Belikov and Shamil Maksyutov National Institute.
Isolating the Impact of Height Dependence on Cumulus Entrainment Walter Hannah May 25 th, 2011.
Observed Updraft & Mass Flux in Shallow Cumulus at ARM Southern Great Plains site Preliminary results Yunyan Zhang, Steve Klein & Pavlos Kollias CFMIP/GCSS.
Adjustment to tropospheric warming over ocean and land surfaces Adam Sobel, John Chiang, Deborah Herceg, Liqiang Sun, Michela Biasutti + many discussions.
Evaluating mass flux closures using cloud resolving model simulations of deep convection Jennifer Fletcher and Chris Bretherton COGS talk May 7, 2009 Evaluating.
GFS Deep and Shallow Cumulus Convection Schemes
The scheme: A short intro Some relevant case results Why a negative feedback? EDMF-DualM results for the CFMIP-GCSS intercomparison case: Impacts of a.
Diurnal and semi-diurnal cycles of convection in an aqua-planet GCM
LINDSEY NOLAN WILLIAM COLLINS PETA-APPS TEAM MEETING OCTOBER 1, 2009 Stochastic Physics Update: Simulating the Climate Systems Accounting for Key Uncertainties.
The parameterization of moist convection
Observational Needs for Testing Global Model Parameterizations Andrew Gettelman, NCAR Thanks to: J. Kiehl, W. Collins, P. Rasch.
1 Numerical Weather Prediction Parameterization of diabatic processes Convection III The ECMWF convection scheme Christian Jakob and Peter Bechtold.
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.
Coupled Climate Models OCEAN-ATMOSPHEREINTERACTIONS.
CONVECTIVE PARAMETERIZATION For the Lesson: Precipitation Processes December 1998.
Vertical Structure of the Tropical Troposphere (including the TTL) Ian Folkins Department of Physics and Atmospheric Science Dalhousie University.
Earth&Atmospheric Sciences, Georgia Tech Modeling the impacts of convective transport and lightning NOx production over North America: Dependence on cumulus.
Convective Parameterization Options
Tracer Transport in the Community Atmosphere Model (CAM): Using three numerical formulations for atmospheric dynamics Summary of a paper submitted for.
MJO simulations under a dry environment Marcela Ulate M Advisor: Chidong Zhang (… in a Nudging World)
Arctic Cloud Biases in CCSM3 Steve Vavrus Center for Climatic Research University of Wisconsin.
Forecast simulations of Southeast Pacific Stratocumulus with CAM3 and CAM3-UW. Cécile Hannay (1), Jeffrey Kiehl (1), Dave Williamson (1), Jerry Olson (1),
Update on stratocumulus simulations by the UCLA AGCM C. R. Mechoso, I. Richter, G. Cazes, and R. Terra University of California, Los Angeles OUTLINE 1.Sensitivity.
A Numerical Study of Early Summer Regional Climate and Weather. Zhang, D.-L., W.-Z. Zheng, and Y.-K. Xue, 2003: A Numerical Study of Early Summer Regional.
CCSM Atmospheric Model Working Group Report J. J. Hack, D. A Randall AMWG Co-Chairs CCSM 2001 Workshop, Breckenridge CCSM 2001 Workshop, Breckenridge.
Parameterization of the effects of Moist Convection in GCMs Mass flux schemes –Basic concepts and quantities –Quasi-steady Entraining/detraining plumes.
Boundary Layer Clouds.
Sensitivity to the PBL and convective schemes in forecasts with CAM along the Pacific Cross-section Cécile Hannay, Jeff Kiehl, Dave Williamson, Jerry Olson,
Workshop on Tropical Biases, 28 May 2003 CCSM CAM2 Tropical Simulation James J. Hack National Center for Atmospheric Research Boulder, Colorado USA Collaborators:
Trends in Tropical Water Vapor ( ): Satellite and GCM Comparison Satellite Observed ---- Model Simulated __ Held and Soden 2006: Robust Responses.
1 Making upgrades to an operational model : An example Jongil Han and Hua-Lu Pan NCEP/EMC GRAPES-WRF Joint Workshop.
Representation of Subgrid Cloud-Radiation Interaction and its Impact on Global Climate Simulations Xinzhong Liang (Illinois State Water Survey, UIUC )
An evaluation of a hybrid satellite and NWP- based turbulent fluxes with TAO buoys ChuanLi Jiang, Kathryn A. Kelly, and LuAnne Thompson University of Washington.
Yuqing Wang and Chunxi Zhang International Pacific Research Center University of Hawaii at Manoa, Honolulu, Hawaii.
Continuous treatment of convection: from dry thermals to deep precipitating convection J.F. Guérémy CNRM/GMGEC.
The nature of rain events in summer vs. winter at the SGP ARM Facility MPO 581 Class Project Emily Riley, Siwon Song, & Brian Mapes.
Sensitivity of MJO to the CAPE lapse time in the NCAR CAM3.1 Ping Liu, Bin Wang International Pacific Research Center University of Hawaii Sponsored by.
11 Implementing a New Shallow Convection Scheme into WRF Aijun Deng and Brian Gaudet Penn State University Jimy Dudhia National Center for Atmospheric.
Diurnal Variations in Southern Great Plain during IHOP -- data and NCAR/CAM Junhong (June) Wang Dave Parsons, Julie Caron and Jim Hack NCAR ATD and CGD.
Update on progress with the implementation of a statistical cloud scheme: Prediction of cloud fraction using a PDF- based or “statistical” approach Ben.
CCSM AMWG Meeting June 25, 2003 Status of CAM Bill Collins and Leo Donner National Center for Atmospheric Research and Geophysical Fluid Dynamics Laboratory.
A simple parameterization for detrainment in shallow cumulus Hirlam results for RICO Wim de Rooy & Pier Siebesma Royal Netherlands Meteorological Institute.
1 Convection parameterization for Weather and Climate models Hua-Lu Pan and Jongil Han NCEP/EMC With help from EMC physics team Myong-In Lee and Sieg Schubert.
Convective Parameterization Jack Kainand Mike Baldwin OAR/NSSL/CIMMS.
Impact of Convective Triggering Mechanisms on CAM2 Model Simulations Shaocheng Xie, Gerald L. Potter, Richard T. Cederwall, and James S. Boyle Atmospheric.
Key ingredients in global hydrological response to external forcing Response to warming => Increased horizontal moisture fluxes => Poleward expansion of.
Status of CAM, March 2004 Phil Rasch. Differences between CAM2 and CAM3 (standard physics version) Separate liquid and ice phases Advection, sedimentation.
A Brief Introduction to CRU, GHCN, NCEP2, CAM3.5
Convective Parameterization
Application Of KF-Convection Scheme In 3-D Chemical Transport Model
Beijing Climate Center, China Meteorological Administration
Update on CAM and the AMWG. Recent activities and near-term priorities. by the AMWG.
Han, J. , W. Wang, Y. C. Kwon, S. -Y. Hong, V. Tallapragada, and F
CAM3.5 Model and Intraseasonal Variability Changes
Update on CAM2.X Development and Future Research Directions
Short Term forecasts along the GCSS Pacific Cross-section: Evaluating new Parameterizations in the Community Atmospheric Model Cécile Hannay, Dave Williamson,
Recent CCSM development simulations: Towards CCSM4
J.T. Kiehl National Center for Atmospheric Research
Climate sensitivity of the CCM3 to horizontal resolution and interannual variability of simulated tropical cyclones J. Tsutsui, K. Nishizawa,H. Kitabata,
Presentation transcript:

Improved Climate Simulations with Modified Convection Scheme: What’s Next? Xiaoqing Wu (ISU) and Guang Jun Zhang (SIO) Supported by DOE CCPP, ARM and NSF Xiaoliang Song and Liping Deng (ISU) Guido Vettoretti and W.R. Peltier (UT)

Modified Zhang-McFarlane (ZM) Convection Scheme Revised convection closure assumption Convection is tied to the destabilization of the tropospheric layer above PBL by the large-scale processes Trigger condition of deep convection Convection is activated when the relative humidity is larger than certain threshold, or the increase of CAPE due to the large-scale processes exceeds certain threshold Convective momentum transport Convection redistributes the horizontal momentum through the compensating subsidence, detrainment and perturbation pressure gradient

Detrainment of excess momentum from clouds Subsidence of environmental air that compensates the cloud mass flux Zhang and Cho (1991, JAS) Wu and Yanai (1994, JAS) Wu, Zhang and Liang (2003, GRL) Convective Momentum Transport (CMT) Cloud-scale pressure Cloud mass flux Detrainment of mass In-cloud momentum Convective momentum tendency Fractional area of clouds Convection-induced pressure gradient force

CAM3 Spectral CCSM3 (T31) CCM3 Spectral CSM1.4 (T31) CAM3.3 FV CCSM3.1 Atmospheric ModelsFully Coupled Models

Double ITCZ problem CSM1.4 with modified ZM CCSM3 with modified ZM

Seasonal variation CSM1.4 with modified ZM CCSM3 with modified ZM

Variability Diagnostics for 6-Hourly Data CAM3.3 FV

Standard CAM3CAM3 with revised closure and rh=0 CAM3 with revised closure and rh=0.8CAM3 with modified ZM Variability Diagnostics for 6-Hourly Data

CAM3.3 FV isufvcam6 cam_fvz Histograms of daily precipitation rate

Standard CAM3 CAM3 with revised closure and rh=0 CAM3 with revised closure and rh=0.8CAM3 with modified ZM Histograms of daily precipitation rate

MJO cam3_3_fv_1.9x2.5 isufvcam6 cam_fvz

NCEP MJO CCSM3 with modified ZM Standard CCSM3 CCSM3.1 with modified ZM b (years 79-98)

ENSO b31.001b31.006b31.007

Standard CSM1.4CSM1.4 with modified ZM ENSO

Standard CCSM3CCSM3 with modified ZM ENSO

Deser et al. (2006, JC)