Report on the CCSM Atmosphere Model Working Group Meeting
Millennium Hotel, Colorado
Co-chairs: Bill Collins and Leo Donner
March 6 and 7, 2003
Outline
The meeting covered:
- Recent developments in CAM since the release of CAM2 in May, 2003
- Proposed changes to the physical parameterizations for the next release of
CAM for use in NCAR's IPCC simulations
- Effects of these proposed changes on the climate and simulation biases of CAM2
- Release of the CAM2 scientific description
- Release of a new diagnostics package for climate variability based
upon WGNE standards
- Release of a new 15-member ensemble of 50-year AMIP-style integrations
of CAM
- Analysis, diagnosis, and sensitivity experiments on the main systematic biases
in CAM2
- Update on the status of WACCM
- Progress on testing superparameterization in CAM
- Possibilities for using ARM data to evaluate and improve the model physics
The schedule of the talks and the introductory presentation
regarding the status of CAM are available on the CCSM AMWG website.
Discussion of new model physics:
The proposed changes to moist physics have substantially reduced two of the
main biases in the atmospheric model:
- Overestimation of land surface temperatures in winter; and
- Underestimation of tropical tropopause temperatures.
There were several suggestions for increasing the
physical realism of the changes proposed to the prognostic cloud
water and moist processes. These suggestions are now being tested
in CAM.
Tuning experiments are underway with the Donner parameterization for
deep cumulus. Global shortwave radiative balances are now quite
close, and longwave balances are within 6 W/m2. Current tuning
is focusing on biases the Donner parameterization has introduced in
water vapor in a few geographical regions between about 500 and 700
hPa and on total precipitation, especially in the west Pacific. The
double ITCZ has largely been eliminated by the Donner
parameterization, and the seasonal march of precipitation across the
Equator in the tropical Pacific is in much better phase with
observations than in CAM2.
The Bretherton diagnostic turbulence parameterization has been
implemented and is currently undergoing testing in both CAM
and SCAM. Preliminary results show sensitivity to entrainment
processes and the large-scale vertical velocity field.
Discussion of new diagnostic frameworks:
The group agreed that additional diagnostics were needed to evaluate
the cumulative effects of all the proposed changes. Several
participants recommended that we evaluate the prototype of CAM2.x
using Taylor diagrams. The co-chairs agreed to pursue this proposal
with PCMDI, and the scientists at PCMDI have agreed to analyze
CAM2.x using their diagnostic procedures. All the individual
modifications are being diagnosed with the regular CAM2 package as
test integrations are completed, and the results have been posted to
the AMWG website.
Two of the systematic biases in the model are:
- Underestimation of tropical variability and poor representation of the
Madden-Julian oscillation
- Errors in the eastern Pacific related to boundary layer clouds and
surface wind stress.
Although no breakthroughs were announced at the meeting regarding
these problems, the AMWG has a couple of new tools for formulating and
testing hypotheses. The first is the variability diagnostics
package, and the second is the ability to output model history for
individual model columns. This will greatly simplify comparison
against field observations.
Other related models:
The co-chairs announced that a new Column Radiation Model (CRM)
would be released to friendly users in April and to the community at
the June meeting. The new CRM is based upon the CAM2 physics and
Single Column Model (SCAM) client-server architecture. Its input is
backward-compatible with the input used for the CCM3 CRM.
The AMWG voted that the SCAM be supported by the CCSM
software engineering group. The SCAM will be updated for
complete compatibility with the CAM2.0.2 code library, then
released to the SE group.
Participants:
Tom Ackerman, PNNL
Mike Alexander, NOAA
Jeff Anderson, GFDL/NCAR
Julie Bacmeister, NASA
Dave Bader, DOE
John Bergman, NOAA
Byron Boville, NCAR
Jim Boyle, LLNL
Grant Branstator, NCAR
Chris Bretherton, U of Washington
Lawrence Buja, NCAR
Julie Caron, NCAR
Christophe Cassou, NCAR
Bill Collins, NCAR
Andrew Conley, NCAR
Gokhan Danabasoglu, NCAR
David DeWitt, COLA
Leo Donner, GFDL
Phil Duffy, LLNL
David Fillmore, NCAR
Jim Hack, NCAR
Tom Henderson, NCAR
Jim Hurrell, NCAR
Mike Iacono, AER Inc.
Jeff Kiehl, NCAR
Doug Kinnison, NCAR
Erik Kluzek, NCAR
Bill Large, NCAR
S-J. Lin, NASA
Eric Maloney, Oregon State U
Larry Marx, COLA
Jim McCaa, NCAR
Phil Merilees, NCAR
Sumant Nigam, U of Maryland
Jerry Olson, NCAR
Jerry Potter, LLNL
Dave Randall, Colorado State U
Phil Rasch, NCAR
Jim Rosinski, NCAR
Richard Somerville, Scripps
Mark Stevens, NCAR
Max Suarez, NASA
Dezheng Sun, NOAA
Rogoth Sundararajan, MIT
Karl Taylor, PCMDI
Kevin Trenberth, NCAR
John Truesdale, NCAR
Tom Wigley, NCAR
Dave Williamson, NCAR
Guang Zhang, Scripps
Minghua Zhang, SUNY-Stony Brook
Michal Ziemianski, NCAR
Menglin Jin, U of Maryland
Saravanan, NCAR
Maurice Blackmon, NCAR
Steve Reid, NSF
Warren Wahsington, NCAR
Bette Otto-Bliesner, NCAR
Natalie Mahowald, NCAR
Robert Pincus, NOAA
Jean-Francois Lamarque, NCAR
Jeff Yin, NOAA
Norm Wood, Colorado State U
Peter Hess, NCAR
Cecelia DeLuca, NCAR
Julia Lee-Taylor, NCAR
Joe Tribbia, NCAR
Kevin Raeder, NCAR