1. Highlights from CCSM3’s Special Issue of the Journal of Climate
Bill Collins
National Center for Atmospheric Research
Boulder, Colorado

2. Special Issue of IJHPCA (International Journal of High Performance Computing Applications)
Guest editors:
John Drake (ORNL)
Phil Jones (LANL)
George Carr (NCAR)
Schedule:
May 2004: Call for papers
Oct. 2004: Deadline for papers
Fall 2005: Publication of special issue (V. 18,#3)
Major topics:
Software engineering for climate models
Performance and portability of climate model codes
INTERNATIONAL JOURNAL OF HIGH PERFORMANCE
COMPUTING APPLICATIONS
Call for Papers
Special Issue on Climate Modeling Algorithms and Software
Practices
Guest editors: John Drake (Oak Ridge National Laboratory), Phil
Jones (Los Alamos National Laboratory), Tom Henderson (National
Center for Atmospheric Research)
The International Journal of High Performance Computing
Applications (IJHPCA) invites the submission of papers for a special
issue entitled Climate Modeling Algorithms and Software Practice.
Coupled ocean, atmosphere and sea ice general circulation models
have increasingly gained acceptance as the basis for climate
prediction studies. The complexity of the modeled physics and
nonlinear coupling across spatial and temporal scales poses
challenges for component developers and software engineers. The
Community Climate System Model (CCSM3) is the most recent
generation of an evolving earth system model released by the
National Center for Atmospheric Research. This special issue
focuses on the parallel algorithms and software practices of climate
modeling research and development resulting from the need to
support a variety of high performance parallel computers while
maintaining high scientific standards, testing procedures for
verification and validation, coding standards and coordination of
geographically distant developers.
Papers are solicited on the following topics:
* Software infrastructure and software architectures for climate
modeling and simulation, preferably with reference to working
models that are publicly available.
* Software engineering and practice supporting Community
models. Papers should describe how the practice evolved and
what software design and engineering principles are effective
in the development of climate models.
* Parallel algorithms and performance optimization techniques
used for climate modeling.
* Investigations into the parallel performance and/or scalability of
component ocean and atmosphere models in high resolution
configurations.
* Innovative approaches to support production use and
operational forecasting by centers with ongoing development
projects.
It is anticipated that most of the papers comprising the special issue
will present original and unpublished research results.
Schedule and Deadlines
The schedule for the publication of the special issue is as follows:
1 May Distribution of Call for Papers
1 October Deadline for submission of papers
1 November Notification of authors
1 January Final submission of accepted papers
1 May Papers to Sage Publishing
Fall 2005 (Volume 19, Number 3, August) Publication of special issue

3. Special Issue of Journal of Climate
Objectives:
Describe CCSM3 to the climate community
Document CCSM3 for the IPCC 4th Assessment Report
Topics:
Overview of CCSM
Description of features & climate state for each component
Climate sensitivity
Response of CCSM to paleo, pre-industrial conditions
Major modes of coupled variability
Editor: Dave Randall
Deadline: Jan. 1, 2005
Contents: 24 papers proposed by seven working groups

4. Papers in the Special Issue
Scientific Steering Committee:
Collins et al, The Community Climate System Model, Version 3
Atmospheric Model Working Group:
Collins et al, The formulation and atmospheric simulation of the Community Atmosphere Model: CAM3
Boville et al, Representation of clouds and precipitation processes in the Community Atmosphere Model (CAM3)
Hack et al, Simulation of the global hydrological cycle in the CCSM Community Atmosphere Model (CAM3): Mean Features
Rasch et al, A characterization of tropical transient activity in the CAM3 atmospheric hydrologic cycle
Rasch et al, Characteristics of transport using three formulations of atmospheric dynamics in a single GCM framework
Hack et al, Climate simulation sensitivity for the CCSM CAM3 to changes in horizontal resolution

5. Papers in the Special Issue
Climate Change Working Group:
Meehl et al, Climate change in the 20th and 21st centuries and climate change commitment in the CCSM3
Kiehl et al, The climate sensitivity of the Community Climate System Model CCSM3
Collins et al, Impact of pre-industrial vs present day forcing on the atmosphere
Climate Variability Working Group:
Deser et al, Tropical Pacific and Atlantic variability in CCSM3
Alexander et al, Extratropical atmosphere-ocean variability in the CCSM3
Meehl et al, Monsoon regimes in CCSM3
Hurrell et al, The dynamical simulation of the Community Atmospheric Model Version 3 (CAM3)

6. Papers in the Special Issue
Land Model Working Group:
Dickinson et al, The Community Land Model and its climate statistics as a component of the Community Climate System Model
Levis et al, Evaluating aspects of the Community Land and Atmosphere Models (CLM and CAM) using the CLM's Dynamic Global Vegetation Model
Ocean Model Working Group:
Large et al, Attribution and impacts of upper ocean biases in CCSM3
Danabasoglu et al, Diurnal ocean-atmosphere coupling
Gent et al, Ocean Chlorofluorocarbon and Heat Uptake During the 20th Century in the CCSM3
Bryan et al, Response of the north Atlantic thermohaline circulation and ventilation to increasing carbon dioxide in CCSM3

7. Papers in the Special Issue
Paleoclimate Working Group:
Otto-Bliesner et al, Sensitivity of the climate system to glacial-interglacial forcing in CCSM3
Yeager et al, The low resolution CCSM3
Otto-Bliesner et al, Pre-industrial climate change in CCSM3
Polar Climate Working Group:
Holland et al, Influence of the parameterized sea ice thickness distribution on polar climate in CCSM3
DeWeaver et al, Atmospheric circulation and its effect on Arctic sea ice in CCSM3 simulations at medium and high resolution
Bitz et al, The influence of sea ice on ocean heat uptake in response to increasing CO2
Qu et al, An evaluation of snow-induced planetary albedo variability in CCSM3

8. Fidelity of the Atmospheric Winds (Collins et al)
Green: Unconditional bias, an estimate of mean error;
Yellow: Conditional bias, a measure of errors in phase and amplitude;
Red: Lack of correlation; and
Blue: scaled variance ratio, a measure of whether the model variance is greater or lesser than that of the atmosphere.

9. Resolved 3D Advective Temperature Tendency (Hack et al)

10. Resolved 3D Advective Temperature Tendency @ 400mb (Hack et al)

11. Zonal Average Warming from High Resolution (Hack et al)

12. Precipitation over the Warm Pool (Hack et al)