CCSM Atmospheric Model Working Group Report J. J. Hack, D. A Randall AMWG Co-Chairs CCSM 2001 Workshop, Breckenridge CCSM 2001 Workshop, Breckenridge.

Slides:



Advertisements
Similar presentations
Basics of numerical oceanic and coupled modelling Antonio Navarra Istituto Nazionale di Geofisica e Vulcanologia Italy Simon Mason Scripps Institution.
Advertisements

Double ITCZ Phenomena in GCM’s Marcus D. Williams.
KYLE PETROSKY PHYSICS MAJOR Effect of Deep Convection on the Regulation of Tropical Sea Surface Temperature By John M. Wallace (1992) Formation and Limiting.
Clouds and Climate: Cloud Response to Climate Change SOEEI3410 Ken Carslaw Lecture 5 of a series of 5 on clouds and climate Properties and distribution.
LHS are the linear terms. First 2 terms on the RHS are nonlinear terms in the bias. The group THF are transient heat advection bias. Q^ is the bias in.
What controls the climatological PBL depth? Brian Medeiros Alex Hall Bjorn Stevens UCLA Department of Atmospheric & Oceanic Sciences 16th Symposium on.
The Radiative Budget of an Atmospheric Column in Tropical Western Pacific Zheng Liu Department of Atmospheric Science University of Washington.
Clouds and Climate: Cloud Response to Climate Change ENVI3410 : Lecture 11 Ken Carslaw Lecture 5 of a series of 5 on clouds and climate Properties and.
Earth Systems Science Chapter 4 PART I. THE CIRCULATION SYSTEM Convection and advection, the Ideal Gas Law Global energy distribution General circulation.
The Radiative Budget of an Atmospheric Column in Tropical Western Pacific Zheng Liu 1 Thomas Ackerman 1,2, Sally McFarlane 2, Jim Mather 2, University.
The first 2 terms on the RHS are nonlinear terms in the bias. The group labeled THF are transient heat advection bias. Q^ is the bias in diabatic heating.
Land Surface Fluxes in Coupled Land/Atmosphere Analysis Systems Michael Bosilovich, NASA GSFC And Collaborators.
1 NGGPS Dynamic Core Requirements Workshop NCEP Future Global Model Requirements and Discussion Mark Iredell, Global Modeling and EMC August 4, 2014.
GFS Deep and Shallow Cumulus Convection Schemes
Coupled GCM The Challenges of linking the atmosphere and ocean circulation.
Challenges and Limitations of regional climate model simulations in West Africa for Present and Future studies Gregory S. Jenkins Penn State University.
Diurnal and semi-diurnal cycles of convection in an aqua-planet GCM
WRF-VIC: The Flux Coupling Approach L. Ruby Leung Pacific Northwest National Laboratory BioEarth Project Kickoff Meeting April 11-12, 2011 Pullman, WA.
LINDSEY NOLAN WILLIAM COLLINS PETA-APPS TEAM MEETING OCTOBER 1, 2009 Stochastic Physics Update: Simulating the Climate Systems Accounting for Key Uncertainties.
Mesoscale Modeling Review the tutorial at: –In class.
Applications and Limitations of Satellite Data Professor Ming-Dah Chou January 3, 2005 Department of Atmospheric Sciences National Taiwan University.
Diurnal Water and Energy Cycles over the Continental United States Alex Ruane John Roads Scripps Institution of Oceanography / UCSD February 27 th, 2006.
APE workshop at Univ. Reading, April 2005 Activity of K-1 Japan in APE Masahiro Watanabe (Hokkaido University) and Masahide Kimoto (CCSR, University.
Preliminary Results of Global Climate Simulations With a High- Resolution Atmospheric Model P. B. Duffy, B. Govindasamy, J. Milovich, K. Taylor, S. Thompson,
Comparison of Different Approaches NCAR Earth System Laboratory National Center for Atmospheric Research NCAR is Sponsored by NSF and this work is partially.
THE USE OF NWP TYPE SIMULATIONS TO TEST CONVECTIVE PARAMETERIZATIONS David Williamson National Center for Atmospheric Research.
5. Temperature Change due to the CO 2 Forcing Alone Spatial variability is due to spatial variations of temperature, water vapor, and cloud properties.
Diurnal Water and Energy Cycles over the Continental United States Alex Ruane John Roads Scripps Institution of Oceanography / UCSD April 28 th, 2006 This.
Projection of Global Climate Change. Review of last lecture Rapid increase of greenhouse gases (CO 2, CH 4, N 2 O) since 1750: far exceed pre-industrial.
Status of the Sea Ice Model Testing of CICE4.0 in the coupled model context is underway Includes numerous SE improvements, improved ridging formulation,
Update on model development Meteo-France Meteo-France CLOUDNET workshop - Exeter 5-6/04/2004 François Bouyssel.
Diurnal Variations of Tropical Convection Ohsawa, T., H. Ueda, T. Hayashi, A. Watanabe, and J. Matsumoto, 2001 : Diurnal Variations of Convective Activity.
Sensitivity experiments with the Runge Kutta time integration scheme Lucio TORRISI CNMCA – Pratica di Mare (Rome)
Forecast simulations of Southeast Pacific Stratocumulus with CAM3 and CAM3-UW. Cécile Hannay (1), Jeffrey Kiehl (1), Dave Williamson (1), Jerry Olson (1),
Marine Stratus and Its Relationship to Regional and Large-Scale Circulations: An Examination with the NCEP CFS Simulations P. Xie 1), W. Wang 1), W. Higgins.
CCSM Atmospheric Model Working Group Summary J. J. Hack, D. A Randall AMWG Co-Chairs CCSM Workshop, 28 June 2001 CCSM Workshop, 28 June 2001.
AMWG Breakout, CCSM Workshop June 25, 2002 Overview of CAM status and simulations Bill Collins and Dave Randall National Center for Atmospheric Research.
Workshop on Tropical Biases, 28 May 2003 CCSM CAM2 Tropical Simulation James J. Hack National Center for Atmospheric Research Boulder, Colorado USA Collaborators:
Ocean Surface heat fluxes
The first 2 terms on the RHS are nonlinear terms in the bias. The group labeled THF are transient heat advection bias. Q^ is the bias in diabatic heating.
A Brief Introduction to CRU, GHCN, NCEP2, CAM3.5 Yi-Chih Huang.
The CHIME coupled climate model Alex Megann, SOC 26 January 2005 (with Adrian New, Bablu Sinha, SOC; Shan Sun, NASA GISS; Rainer Bleck, LANL)  Introduction.
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.
Presented by LCF Climate Science Computational End Station James B. White III (Trey) Scientific Computing National Center for Computational Sciences Oak.
CCSM AMWG Meeting June 25, 2003 Status of CAM Bill Collins and Leo Donner National Center for Atmospheric Research and Geophysical Fluid Dynamics Laboratory.
NAME SWG th Annual NOAA Climate Diagnostics and Prediction Workshop State College, Pennsylvania Oct. 28, 2005.
How Convection Currents Affect Weather and Climate.
AMWG Meeting April 3-4, 2002 Overview of CAM status and simulations Bill Collins and Jim Hack National Center for Atmospheric Research Boulder, Colorado.
March 9, 2004CCSM AMWG Interactive chemistry in CAM Jean-François Lamarque, D. Kinnison S. Walters and the WACCM group Atmospheric Chemistry Division NCAR.
Impact of Convective Triggering Mechanisms on CAM2 Model Simulations Shaocheng Xie, Gerald L. Potter, Richard T. Cederwall, and James S. Boyle Atmospheric.
ESSL Holland, CCSM Workshop 0606 Predicting the Earth System Across Scales: Both Ways Summary:Rationale Approach and Current Focus Improved Simulation.
Development of the Regional Arctic Climate System Model (RACM) --- Department of Civil and Environmental Engineering University of Washington May, 2010.
Status of CAM, March 2004 Phil Rasch. Differences between CAM2 and CAM3 (standard physics version) Separate liquid and ice phases Advection, sedimentation.
Paleoclimate Models (Chapter 12).
A Brief Introduction to CRU, GHCN, NCEP2, CAM3.5
Shifting the diurnal cycle of parameterized deep convection over land
ASM Project Update: Atmospheric Modeling
Chapter 3 Atmospheric Radiative Transfer and Climate
Performance of the VIC land surface model in coupled simulations
National Center for Atmospheric Research
Panel: Bill Large, Bob Weller, Tim Liu, Huug Van den Dool, Glenn White
Update on CAM and the AMWG. Recent activities and near-term priorities. by the AMWG.
CAM3.5 Model and Intraseasonal Variability Changes
How will the earth’s temperature change?
The Next Release of CCSM: IPCC and Community Applications
Update on CAM2.X Development and Future Research Directions
The Water Cycle Precipitation – liquid water or ice that falls back to Earth’s surface. Rain is precipitation. Evaporation – the change in phase of.
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,
Attribution and impacts of upper ocean biases in CCSM3 W. G
Presentation transcript:

CCSM Atmospheric Model Working Group Report J. J. Hack, D. A Randall AMWG Co-Chairs CCSM 2001 Workshop, Breckenridge CCSM 2001 Workshop, Breckenridge

What has been happening since the last time we met? n Indicated our intentions for a final model configuration –two-time level semi-Lagrangian dynamics with reduced linear grid –26 levels –prognostic cloud water –generalized cloud overlap (plus requisite changes to LW SW) –updated long wave water vapor absorption formulation –new convection parameterization –netCDF native output –improved topographic filter n Were planning to conduct initial coupled simulations –new ocean, sea ice, land, and coupler

Cumulus Convection Parameterization n Variant of Arakawa-Schubert –developed by Marat Khairoudinov (CSU) –multiple cloud bases/cloud tops –simplified closure, computationally efficient n equilibrium cumulus kinetic energy closure –can handle arbitrary tracer transport –framework can be directly coupled to stratiform cloud and boundary layer parameterizations

Strengths/Weaknesses of Proposed Model n Improvements in a number of simulation features –precipitable water, implied ocean heat transport, polar thermal bias, variability, eastern ocean solar energy budget n Degradations in several important areas –Wintertime stationary wave structure –Excessive precipitation maxima –No improvement in Arctic Surface wind field –Cold tropical tropopause –Non-conservative advection of tracers

Tests of the proposed configuration n Uncoupled climatological forcing n 17-year AMIP II simulations n No coupled simulations to date –immediate priority was to enable a coupled evaluation

Ongoing Diagnostic Analyses n NCAR –standard WGNE diagnostic suite n Stevens and Hack –variability and other mean properties n Hurrell and Shea n PCMDI (Wehner, Taylor, Sperber, Boyles, Achutarao) –performance portraits, mean state, variability –comparison to other models and observations n Variability Analyses (through intraseasonal) –MJO (Demott, Waliser, Ricciardulli) –diurnal characteristics (Dai)

In late May we reconsidered options n Tested a modification to the current ZM scheme –incorporates a precipitation evaporation mechanism n Proposed alternative configuration to AMWG –model was same except for following n 3-time level spectral dynamical core with reduced grid n modified Zhang-McFarlane convection n Put this decision to a “vote” from the AMWG –extensive diagnostic studies were completed and available n Comments favored alternative configuration

Strengths/Weaknesses of New Model n Clear improvements to several simulation features –precipitable water –implied ocean heat transport –polar thermal bias –eastern ocean solar energy budget –eastern Pacific surface stress n Degradations in several important areas –No improvement in Arctic Surface wind field –Cold tropical tropopause –Non-conservative advection of tracers (no different than CCM3)

Summary Development of new atmospheric component is complete and undergoing continued testing! n Improvements to physical and dynamical framework n Improvements to the simulation n Improvements to computational performance n Demonstrated the AMWG development process works