**Model Information of Potential Use to the IPCC Lead Authors and the
AR4.**

**CCSM3**

31 January 2005

I. Model identity:\
   A. Institution, sponsoring agency, country\
\
National Center for Atmospheric Research (NCAR),\
NSF (a primary sponsor), DOE (a primary sponsor), NASA, and NOAA\
USA\
\
   B. Model name (and names of component atmospheric, ocean, sea ice,\
   etc. models)\
\
Coupled model - Community Climate System Model, version 3.0 (CCSM3)\
Atmosphere    - Community Atmosphere Model, version 3.0 (CAM3)\
Ocean         - Parallel Ocean Program, version 1.4.3 (POP 1.4.3)\
Sea ice       - Community Sea Ice Model, version 5.0 (CSIM5)\
Land          - Community Land Model, version 3.0 (CLM3)\
\
   C. Vintage (i.e., year that model version was first used in a\
   published application)\
\
6irst control runs and IPCC runs were run and submitted for\
publication in 2004.  First publication containing CCSM3 results\
will appear in 2005.\
\
   D. General published references and web pages\
\
Main website - [http://www.ccsm.ucar.edu](http://www.ccsm.ucar.edu/)\
\
Publications submitted to a special issue of the Journal of Climate
describing\
CCSM3 are available from
<http://www.ccsm.ucar.edu/publications/jclim04/Papers_JCL04.html>\
\
   E. References that document changes over the last \~5 years (i.e.,\
   since the IPCC TAR) in the coupled model or its components.   We\
   are specifically looking for references that document changes in\
   some aspect(s) of model performance.\
\
There are a series of NCAR technical reports available from\
<http://www.ucar.edu/communications/technotes/technotes401-.shtml>\
\
TN-455+STR The Sea Ice Simulation of the Community System Model,
Version\
Two, B.P. Briegleb, E.C. Hunke, C.M. Bitz, W.H. Lipscomb, M.M. Holland,
J.L\
Schramm, and R.E. Moritz, CGD. 38 pp. January 2004. NTIS
#PB2004-105849.\
\
TN-461+STR Technical Description of the Community Land Model (CLM),
Keith\
W. Oleson, Yongjiu Dai, Gordon Bonan, Mike Bosilovich, Robert Dickinson,
Paul\
Dirmeyer, Forrest Hoffman, Paul Houser, Samuel Levis, Guo-Yue Niu,
Peter\
Thornton, Mariana Vertenstein, Zong-Liang Yang, Xubin Zeng, CGD. 183 pp.
May\
2004, NTIS #PB2004-105836.\
\
TN-463+STR Scientific Description of the Sea Ice Component in the\
Community Climate System Model, Version Three, B.P. Briegleb, C.M. Bitz,
E.C.\
Hunke, W.H. Lipscomb, M.M. Holland, J.L. Schramm, and R.E. Moritz, CGD,
75\
pp. June 2004, NTIS #PB2004-106574.\
\
TN-464+STR Description of the NCAR Community Atmosphere Model (CAM\
3.0), W.D. Collins, P.J. Rasch, B.A. Boville, J.R. McCaa,\
D.L. Williamson, J.T. Kiehl, B. Briegleb, C. Bitz, S.-J. Lin,\
M. Zhang, and Y. Dai, CGD, 214 pp. June 2004.\
\
LANL technical reports:\
\
Smith, R. D. and P. R. Gent, 2002: Reference manual for the Parallel
Ocean\
  Program (POP), ocean component of the Community Climate System\
  Model (CCSM2.0 and 3.0). Technical Report LA-UR-02-2484, Los Alamos\
  National Laboratory, available online at\
  <http://www.ccsm.ucar.edu/models/ccsm3.0/pop>.\
\
Refereed papers (partial list):\
\
Bonan, G. B., K. W. Oleson, M. Vertenstein, S. Levis, X. Zeng, Y. Dai,\
  R. E. Dickinson and Z.-L. Yang, 2002: The land surface climatology\
  of the Community Land Model coupled to the NCAR Community\
  Climate Model. J. Clim., 15, 3123-3149.\
\
Bonan, G. B., S. Levis, L. Kergoat, and K. W. Oleson, 2001: Landscapes
as\
  patches of plant functional types: An integrating approach for climate
and\
  ecosystem models. Glob. Biogeochem. Cycles, 16, 5.1-5.23.\
\
Boville, B. A. and C. S. Bretherton, 2003: Heating and dissipation in
the\
  NCAR Community Atmosphere Model. J. Clim., 16, 3877-3887.\
\
Collins, W. D., 2001: Parameterization of generalized cloud overlap for\
  radiative calculations in general circulation models. J. Atmos. Sci.,\
  58, 3224-3242.\
\
Collins, W. D., J. K. Hackney, and D. P. Edwards, 2002: A new\
  parameterization for infrared emission and absorption by water vapor
in the\
  National Center for Atmospheric Research Community Atmosphere\
  Model. J. Geophys. Res., 107, 8028, doi:10.1029/2000JD000032.\
\
Connolley, W. M., J. M. Gregory, E. C. Hunke, and A. J. McLaren, 2004:
On the\
  consistent scaling of terms in the sea ice dynamics equation. J.
Phys.\
  Oceanogr., 1776-1780.\
\
Kiehl, J. T. and P. R. Gent, 2004: The Community Climate System Model,\
  Version Two. J. Clim., 17, 3666-3682.\
\
Libscomb, W. H. and E. C. Hunke, 2004: Modeling sea-ice transport using\
  incremental remapping. Mon. Wea. Rev., 132, 1341-1354.\
\
Ohlmann, J. C., 2004: Ocean radiant heating in climate models.\
  J. Clim., 16, 1337-1351.\
\
Williamson, D. L., 2002: Time-split versus process-split coupling of\
  parameterizations and dynamical core. Mon. Wea. Rev., 130, 2024-2041.\
\
Zhang, M., W. Lin, C. B. Bretherton, J. J. Hack, and P. J. Rasch, 2003:\
  A modified formulation of fractional stratiform condensation rate\
  in the NCAR Community Atmosphere Model (CAM2). J. Geophys. Res.,\
  108, 4035, doi:10.1029/2002JD002523.\
\
   F. IPCC model version\'s global climate sensitivity (KW-1m2) to\
   increase in CO2 and how it was determined (slab ocean expt.,\
   transient expt\--Gregory method, =B12K Cess expt., etc.)\
\
2.7 K / (3.5 W/m\^2), from a slab ocean experiment\
\
   G. Contacts (name and email addresses), as appropriate, for:\
       1. coupled model\
\
William Collins, <wcollins@ucar.edu>\
\
       2. atmosphere\
\
Philip Rasch, <pjr@ucar.edu>\
\
       3. ocean\
\
Bill Large: <wily@ucar.edu>\
\
       4. sea ice\
\
Marika Holland, <mholland@ucar.edu>\
\
       5. land surface\
\
Gordon Bonan, <bonan@ucar.edu>\
\
       6. vegetation\
\
Gordon Bonan, <bonan@ucar.edu>\
\
       7. other?\
\
IPCC runs: Jerry Meehl, <meehl@ucar.edu>\
\
II. Besides atmosphere, ocean, sea ice, and prescription of\
land/vegetated surface, what can be included (interactively) and was\
it active in the model version that produced output stored in the\
PCMDI database?\
\
   A. atmospheric chemistry?\
\
Qualified yes: two processes are active:\
(1. Modification to GHG concentrations by chemical processes; and\
(2. Conversion of SO2 and DMS to sulfate aerosols (the sulfur cycle).\
\
   B. interactive biogeochemistry?\
\
No\
\
   C. what aerosols and are indirect effects modeled?\
\
No indirect forcing effects are included.\
\
The semi-direct effect (reduction in cloud amount by aerosol heating)
is\
included.\
\
Aerosol species included:\
(1. Sulfates\
(2. Black and organic carbon\
(3. Sea salt\
(4. Soil dust\
(5. Stratospheric volcanic aerosols\
\
\
   D. dynamic vegetation?\
\
No\
\
   E. ice-sheets?\
\
No (glaciers are specified, but there are no dynamic ice sheets)\
\
III. List the community based projects (e.g., AMIP, C4MIP, PMIP,\
PILPS, etc.) that your modeling group has participated in and indicate\
if your model results from each project should carry over to the\
current (IPCC) version of your model in the PCMDI database.\
\
AOMIP \-- no\
Global Land-Atmosphere Coupling Experiment (GLACE): yes\
AMIP:  no\
AMIP2: no\
CMIP:  no\
C4MIP: possibly yes\
\
IV. Component model characteristics (of current IPCC model version):\
\
   A. Atmosphere\
       1. resolution\
\
Lateral resolution from 85-wavenumber triangular spectral truncation\
of the dynamics.  At the equator, the spatial resolution is\
approximately 1.4 degrees.\
\
       2. numerical scheme/grid (advective and time-stepping schemes;\
   model top; vertical coordinate and number of layers above 200 hPa\
   and below 850 hPa)\
\
Numerical scheme - Eulerian spectral transform,\
                   with semi-Lagrangian tracer transport\
Grid - T85\
Time stepping - semi-implicit leapfrog\
Model top - 2.2 hPa\
Vertical coordinate - generalized terrain-following hybrid coordinate,\
                      26 levels\
Number of layers above 200 hPa - 13\
Number of layers below 850 hPa - 4\
\
       3. list of prognostic variables (be sure to include, as\
   appropriate, liquid water, chemical species, ice, etc.)\
\
a. Vorticity\
b. Divergence\
c. Temperature\
d. Specific humidity\
e. Surface pressure\
f. Grid box averaged liquid condensate
amount                                                                                    \
g. Grid box averaged ice condensate
amount                                                                                       \
h. Nitrous
Oxide                                                                                                                 \
i.
Methane                                                                                                                       \
j.
CFC11                                                                                                                         \
k.
CFC12                                                                                                                         \
l.
SO2                                                                                                                           \
m.
SO4                                                                                                                           \
n.
DMS                                                                                                                           \
o. H2O2                                                          \
\
       4. name, terse descriptions, and references (journal articles,\
   web pages) for all major parameterizations.  Include, as\
   appropriate, descriptions of:\
           a. clouds\
\
Prognostic cloud condensate with diagnotic cloud amount\
\
Rasch, P. J., and J. E. Kristjansson, A comparison of the CCM3 model\
  climate using diagnosed and predicted condensate parameterizations,\
  J. Climate, 11, 1587-1614, 1998.\
\
Zhang, M., W. Lin, C. S. Bretherton, J. J. Hack, and P. J. Rasch, A
modified\
  formulation of fractional stratiform condensation rate in the NCAR\
  community atmospheric model CAM2, J. Geophys. Res., 108\
  (D1), 2003.\
\
Boville, B. A., P. J. Rasch, J. J. Hack, and J. R. McCaa, 2005:
Representation\
  of clouds and precipitation processes in the Community Atmosphere
Model\
  (CAM3). J. Clim., submitted.\
\
           b. convection\
\
Deep convection:\
Zhang, G. J., and N. A. McFarlane, Sensitivity of climate simulations to
the\
  parameterization of cumulus convection in the Canadian Climate Centre\
  general circulation model, Atmosphere-Ocean, 33, 407-446, 1995.\
\
\
Shallow convection:\
Hack, J. J., Parameterization of moist convection in the National
Center\
  for Atmospheric Research Community Climate Model (CCM2),\
  J. Geophys. Res., 99, 5551-5568, 1994.\
\
           c. boundary layer\
\
Non-local atmospheric bounday layer scheme\
\
Holtslag, A. A. M., and B. A. Boville, Local versus nonlocal
boundary-layer\
  diffusion in a global climate model, J. Climate, 6, 1825-1842,\
  1993.\
\
Boville, B. A., and C. S. Bretherton, Heating and dissipation in the
NCAR\
  community atmosphere model, J. Climate, 16, 3877-3887, 2003.\
\
           d. SW, LW radiation\
\
\
LW: absorptivity-emissivity method for clear-skies, plus Truncated\
    Independent Column Approximation (TICA) for all-sky\
\
SW: delta-Eddington with exponential-sum fit representation of\
    near-IR, truncated ICA (TICA) for all-sky\
\
pre-CCSM3: Kiehl, J. T., J. J. Hack, G. B. Bonan, B. B. Boville, D. L.
Williamson, and\
  P. J. Rasch, The National Center for Atmospheric Research Community\
  Climate Model: CCM3, J. Climate, 11, 1131-1149, 1998.\
\
Subsequent improvements:\
Collins, W. D., Parameterization of generalized cloud overlap for
radiative\
  calculations in general circulation models, J. Atmos. Sci., 58,\
  3224-3242, 2001.\
\
Collins, W. D., J. K. Hackney, and D. P. Edwards, A new parameterization
for\
  infrared emission and absorption by water vapor in the National
Center\
  for Atmospheric Research Community Atmosphere Model,\
  J. Geophys. Res., 107 (D22), 2002.\
\
           e. any special handling of wind and temperature at top of
model\
\
Horizontal diffusion of temperature and wind with a del-squared\
   diffusion operator is introduced in the top three layers of the\
   model.\
\
   B. Ocean\
       1. resolution\
nominal 1 degree displaced pole horizontal grid\
320x384 horizontal grid points\
40 vertical levels\
1.125degx0.27deg resolution on the equator\
northern pole in Greenland\
\
       2. numerical scheme/grid, including advection scheme,
time-stepping scheme, vertical coordinate,\
  free surface or rigid lid, virtual salt flux or freshwater flux\
third-order upwinding advection\
3-time-level second-order modified leapfrog time stepping\
40-level geopotential grid extending to 5500m, with resolution
increasing from  10m\
at the surface to 250m in the deep ocean.\
implicit free surface\
virtual salt flux\
\
       3. list of prognostic variables and tracers\
grid-oriented zonal and meridional velocity components\
vertical velocity\
pressure\
density\
potential temperature\
salinity\
ideal age\
cfc\'s (included in some integrations, but not all)\
\
       4. name, terse descriptions, and references (journal articles,
web pages) for all parameterizations.\
  Include, as appropriate, descriptions of:\
\
   Scientific description of POP ocean model available for download at:\
<http://www.ccsm.ucar.edu/models/ccsm3.0/pop/>\
\
           a. eddy parameterization\
Gent-McWilliams\
\
Gent, P.R. and J.C. McWilliams, 1990: Isopycnal mixing in ocean\
circulation models. J. Phys. Oceanogr., 20, 150-155.\
\
   aa. horizontal viscosity\
anisotropic with Smagorinsky-type coefficients\
\
Large, W.G., G. Danabasoglu, J.C. McWilliams, P.R. Gent, and\
F.O. Bryan, 2001:  Equatorial circulation of a global ocean\
climate model with anisotropic horizontal viscosity.  J. Phys.\
Oceanogr., 31, 518-536.\
\
Smith, R. and J.C. McWilliams, 2003:  Anisotropic horizontal\
viscosity for ocean models.  Ocean Modelling, 5, 129-156.\
\
           b. bottom boundary layer treatment and/or sill overflow
treatment\
None\
\
           c. mixed-layer treatment\
KPP boundary layer mixing with modifications as described in Danabasoglu
et al.\
\
Large, W.G., J.C. McWilliams and S.C. Doney, 1994:  Oceanic vertical
mixing:\
A review and a model with a nonlocal boundary layer parameterization,\
Reviews of Geophysics, 32, 363-403.\
\
Danabasoglu, G., W.G. Large, J.J. Tribbia, P.R. Gent, and B.P.
Briegleb,\
2005:  Diurnal Ocean-Atmosphere Coupling, J. Climate, submitted.\
\
           d. sunlight penetration\
shortwave penetration based on observed monthly chlorophyll distribution
and\
parameterization developed by Carter Ohlmann.\
\
Ohlmann, J.C., 2003:  Ocean radiant heating in climate models, J.
Climate,\
16, 1337-1351.\
\
Danabasoglu, G., W.G. Large, J.J. Tribbia, P.R. Gent, and B.P.
Briegleb,\
2005:  Diurnal Ocean-Atmosphere Coupling, J. Climate, submitted.\
\
           e. tidal mixing\
None\
\
           f. river mouth mixing\
river runoff implemented as a surface freshwater flux, spread over
active ocean grid\
points nearest the river mouth, with a falloff distance roughly
compatible with\
observed sea surface salinity distributions.\
\
           g. mixing isolated seas with the ocean\
A pointwise freshwater balance in isolated seas diverts any
excess/deficit\
freshwater flux to nearby active ocean regions as a surface flux.\
\
           h. treatment of North Pole \"singularity\" (filtering, pole
rotation, artificial island?)\
Northern grid pole displaced into Greenland to \~(80N,40W).\
Timestep is small enough so that no filtering is necessary.\
\
\
 C. sea ice\
       Complete documentation available from:\
         <http://www.ccsm.ucar.edu/models/ccsm3.0/csim/>\
\
  1. horizontal resolution, number of layers, number of thickness
categories\
   gx1v3 grid (nominally 1 degree, displaced pole grid. see ocean
resolution)\
   number of layers - 4 layers in ice + a single snow layer\
   number of thickness categories - 5 ice plus one open water category\
\
  2. numerical scheme/grid, including advection scheme, time-stepping
scheme,\
   advection scheme - incremental remapping (Lipscomb and Hunke, Mon
Wea. Rev, 132,\
                1341-1354, 2004)\
\
   ITD solved using linear remapping (Lipscomb, 2001)\
\
   vertical heat equation solved using an implicit backwards-Euler
space-centered\
      scheme\
\
  3. list of prognostic variables\
    for each gridcell : sea ice velocity; stress tensor components (not
resolved\
          across the thickness distribution)\
\
    for each gridcell and each ice category: sea ice concentration, sea
ice volume,\
          snow volume, surface temperature\
\
    for each ice category and each ice level: sea ice internal energy\
\
  4. completeness (dynamics? rheology? leads?  snow treatment on sea
ice)\
    dynamics - elastic-viscous-plastic (Hunke and Dukowicz, 1997) with\
       updates (Hunke, 2001; Hunke and Dukowicz, 2002; Hunke and
Dukowicz, 2003)\
\
    thermodynamics - Bitz and Lipscomb (1999)\
\
    ITD present with linear remapping (see Bitz et al., 2001; Lipscomb,
2001)\
\
    snow treated as a single layer\
\
    lateral melting following Steele (1992)\
\
   5. treatment of salinity in ice\
     salinity fixed at constant 4ppt for ice/ocean exchange\
     salinity profile used for thermodynamic considerations (see Bitz
and Lipscomb, 1999)\
\
   6. brine rejection treatment\
     brine rejection based on constant 4ppt salinity in the sea ice\
\
   7. treatment of the North Pole \"singularity\" (filtering, pole
rotation, artificial island?)\
         pole is rotated into Greenland\
\
\
   D. land / ice sheets (some of the following may be omitted if
information is clearly included in cited references.\
\
An extensive technical description of the Community Land Model (CLM) can
be found in:\
\
Oleson, K.W. et al. 2004: Technical description of the Community Land
Model (CLM),\
NCAR Technical Note NCAR/TN-461+STR, National Center for Atmospheric
Research, Boulder,\
Colorado, 173 pp.\
\
       1. resolution (tiling?), number of layers for heat and water\
\
Spatial land surface heterogeneity is represented as a nested subgrid
hierarchy in which\
grid cells are composed of multiple landunits, snow/soil columns, and
plant functional\
types (PFTs). The specific landunits are glacier, lake, wetland,
vegetation\
The vegetation portion is divided into patches of up to 4 of 16 PFTs\
types. All PFTs in a grid cell share a single soil column. Plant
functional types and\
leaf area index are specified from satelllite data.\
\
Soil water is predicted from a ten-layer model, in which the vertical\
soil moisture transport is governed by infiltration, surface and\
sub-surface runoff, gradient diffusion, gravity, and root extraction\
through canopy transpiration. Soil temperature is predicted from the\
same ten-layer model accounting for phase change.\
\
       2. treatment of frozen soil and permafrost\
\
Explicit treatment of ice and liquid water in soil column.\
\
       3. treatment of surface runoff and river routing scheme\
\
A conceptual form of TOPMODEL (Beven and Kirkby \[1979\]) is used to
parameterize\
runoff. The River Transport Model (RTM) of Branstetter \[2001\], and\
Branstetter and Famiglietti \[1999\] is used to transport runoff from
the land to\
the ocean\
\
Beven, K.J., and Kirkby, M.J. 1979. A physically based variable
contributing\
area model of basin hydrology. Hydrol. Sci. Bull. 24: 43-69.\
\
Branstetter, M.L. 2001. Development of a parallel river transport
algorithm and\
applications to climate studies. Ph.D. dissertation, University of Texas
at Austin.\
\
Branstetter, M.L., and Famiglietti, J.S. 1999. Testing the sensitivity
of\
GCM-simulated runoff to climate model resolution using a parallel river
transport\
algorithm. Preprints, 14th Conference on Hydrology, Dallas, TX, Amer.
Meteor. Soc.,\
391-392.\
\
       4. treatment of snow cover on land\
\
Snow is modeled with up to five layers depending on total snow depth
accounting\
for ice and liquid water contents in each layer and liquid water
movement between\
layers.\
\
       5. description of water storage model and drainage\
\
Water is stored on land in the soil column, in wetlands, lakes and
glaciers,\
and in snow. However, the areal extent of wetlands, lakes, and glaciers
is constant in\
time. Runoff from land (surface runoff, sub-surface drainage) is routed
to\
the river transport model as is runoff from wetlands, lakes, and
glaciers, the latter\
being determined from the mass balance residual. All of this water is
then\
distributed to the oceans based on the routing scheme.\
\
       6. surface albedo scheme\
\
Radiative transfer within vegetative canopies is calculated from the
two-stream approximation.\
Soil albedos are determined from soil color.\
\
       7. vegetation treatment (canopy?)\
\
Vegetated surfaces are comprised of up to 4 of 16 possible plant
functional types (PFTs). These\
PFTs differ in physiological and morphological traits along with
climatic preferences.\
Sensible and latent heat fluxes from vegetated surfaces are derived from
Monin-Obukhov\
similarity theory applied to the surface layer. Transpiration fluxes are
predicted using\
a coupled canopy conductance-photosynthesis scheme.\
\
       8. list of prognostic variables\
\
Multi-layer SNOW (up to five layers depending on total snow depth)\
 number of snow layers\
 thickness of snow layer (m)\
 depth of snow layer interface (m)\
 node depth of snow layer (midpoint) (m)\
 liquid water content of snow layer (kg m-2)\
 ice content of snow layer (kg m-2)\
 total snow depth (m)\
 total snow water equivalent (kg m-2)\
 snow age (influences snow albedo)\
 snow layer temperature (K)\
\
Ten-layer SOIL\
 soil liquid water content (kg m-2)\
 soil ice content (kg m-2)\
 soil temperature (K)\
\
Vegetation temperature (K)\
Ground temperature (K)\
Canopy water (kg m-2)\
\
       9. ice sheet characteristics (How are snow cover, ice melting,
ice accumulation, ice dynamics handled?  How are the heat and water
fluxes handled when the ice sheet is melting?)\
\
Glaciers are generally initialized as a column of pure ice with a depth
equal to the soil\
column depth and a snow pack of 1000 kg/m2 snow water equivalent . Snow
may melt or accumulate\
but the snow is constrained to have a snow water equivalent of less than
1000 kg/m2. Glacier\
dynamics such as ice calving are not modeled.\
\
   E. coupling details\
       1. frequency of coupling\
\
ocean coupled once per day, atm/lnd/ice coupled once per hour\
\
       2. Are heat and water conserved by coupling scheme?\
\
yes\
\
       3. list of variables passed between components:\
           a. atmosphere - ocean\
           b. atmosphere - land\
           c. land - ocean\
           d. sea ice - ocean\
           e. sea ice - atmosphere\
\
\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\--\
Atmosphere Model - Data recieved (\* -\> used for diagnostic purposes
only)\
\
 states\
o 2 meter reference air temperature\*    (merged lnd/ice/ocn)\
o 2 meter reference specific humidity\*  (merged lnd/ice/ocn)\
o albedo: visible  direct               (merged lnd/ice/ocn)\
o albedo: near-infrared direct          (merged lnd/ice/ocn)\
o albedo: visible  diffuse              (merged lnd/ice/ocn)\
o albedo: near-infrared diffuse         (merged lnd/ice/ocn)\
o surface temperature                   (merged lnd/ice/ocn)\
o ocn sea surface temperature\
o land snow height                         \
o ice fraction\
o ocean fraction\
o land fraction\
\
 fluxes\
o zonal surface stress                  (merged lnd/ice/ocn)\
o meridional surface stress             (merged lnd/ice/ocn)\
o latent heat                           (merged lnd/ice/ocn)\
o sensible heat                         (merged lnd/ice/ocn)\
o longwave radiation upward             (merged lnd/ice/ocn)\
o evaporation                           (merged lnd/ice/ocn)\
\
\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\--\
Ice Model - Data received\
\
states\
o ocn: temperature\
o ocn: salinity\
o ocn: zonal velocity\
o ocn: meridional velocity\
o ocn: dh/dx: zonal surface slope\
o ocn: dh/dy: meridional surface slope\
o atm: layer height\
o atm: zonal velocity\
o atm: meridional velocity\
o atm: potential temperature\
o atm: temperature\
o atm: specific humidity\
o atm: density\
\
fluxes\
o ocn: : heat of fusion   or : melting potential\
o atm: shortwave radiation: downward visible  direct\
o atm: shortwave radiation: downward near-infrared direct\
o atm: shortwave radiation: downward visible  diffuse\
o atm: shortwave radiation: downward near-infrared diffuse\
o atm: longwave radiation downward\
o atm: precipitation: liquid\
o atm: precipitation: frozen\
\
\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\--\
Land Model - Data received\
\
states\
o atm layer height\
o atm zonal velocity\
o atm meridional velocity\
o atm potential temperature\
o atm specific humidity\
o atm pressure\
o atm temperature\
\
fluxes\
o atm precipitation: liquid convective\
o atm precipitation: liquid large-scale\
o atm precipitation: frozen convective\
o atm precipitation: frozen large-scale\
o atm longwave radiation downward\
o atm shortwave radiation: downward visible  direct\
o atm shortwave radiation: downward near-infrared direct\
o atm shortwave radiation: downward visible  diffuse\
o atm shortwave radiation: downward near-infrared diffuse\
\
\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\--\
Ocean Model - Data received\
\
states\
o atm equivalent sea level pressure  (only used for BGC work,
non-IPCC?)\
o atm 10m wind speed squared         (only used for BGC work,
non-IPCC?)\
o ice fraction\
\
fluxes\
o atm shortwave radiation net\
o atm latent heat\
o atm sensible heat\
o atm longwave radiation upward\
o atm longwave radiation downward\
o atm precipitation: rain\
o atm precipitation: snow\
o atm+ice zonal surface stress           (merged over one grid cell)\
o atm+ice meridional surface stress      (merged over one grid cell)\
o atm evaporation\
o ice ocean heat (melting potential) used for melting\
o ice salt flux\
o ice melt water\
o lnd coastal runoff\
\
       4. Flux adjustment? (heat?, water?, momentum?, annual?,\
           monthly?).\
\
none\
\
\
\
\
VI. Simulation Details (report separately for each IPCC simulation
contributed to database at PCMDI):\
\
   A. IPCC \"experiment\" name\
\
      See the excel chart with the \"Local Abbrev\" column that I mailed
you last week\
\
   B. Describe method used to obtain initial conditions for each
component model\
       1. If initialized from a control run, which month/year.\
       2. For control runs, describe spin-up procedure.\
\
      See the excel chart with the \"Local Abbrev\" column that I mailed
you last week\
\
\
   C. For pre-industrial and present-day control runs, describe
radiative forcing agents (e.g., non-anthropogenic aerosols, solar
variability) present=2E  Provide references or web pages containing
further information as to the distribution and temporal changes in these
agents.\
\
       Still working on this\...\
\
   D. For perturbation runs, describe radiative forcing agents (e.g.,
which greenhouse gases, which aerosols, ozone, land surface changes,
etc.) present.  Provide references or web pages containing further
information as to the distribution and temporal changes in these
agents.\
\
       Still working on this