FACTS Climate Experiment Documentation

Climate Experiment Forcings

The table below shows the forcings used in the climate experiments that are being made available through the FACTS website.

Experiment Identifiers Forcings1
Experiment Name2 File Name ID3 Sea Surface Temperature (SST) Sea Ice Greenhouse Gases (GHG) Ozone
AMIP with Observed Radiative Forcing amip_obs_rf Obs Obs Obs Obs
AMIP with 1880s Radiative Forcing amip_1880s_rf Obs Detrended to 1880 Present Climatology Past Climatology Past Climatology
AMIP with Natural History Forcing amip_nat_hist CMIP5-est15 CMIP5-est15 Past Climatology Past Climatology
AMIP with Climatological Radiative Forcing amip_clim_rf Obs Obs Present Climatology Present Climatology
AMIP with Observed Radiative Forcing, Climatological Sea Ice and Polar SST amip_clim_polar Obs/Present Climatology Present Climatology Obs Obs
Leading Pattern of Global SST Variabilty4 with Observed Radiative Forcing eof1_sst 1st EOF4 Obs Obs Obs
First 2 Leading Patterns of Global SST Variabilty4 with Observed Radiative Forcing eof1+eof2_sst 1st & 2nd EOF4 Obs Obs Obs

1 Obs - Observed conditions, Present Climatology (varies by forcing, but generally some average conditions between 1981-2010), Past Climatology (1881-1910 climatology, or a specific pre-industrial date). See experiment desciptions for complete details.
2 Text for "experiment" global attribute in files
3 Experiment identifier in file and directory names
4 Leading Patterns are the first and second Empirical Orthogonal Functions (EOF) of Global monthly SST variability 1979-2011 (EOF1, EOF2)
5 Method described in: A benchmark estimate of the effect of anthropogenic emissions on the ocean surface.


Single Page

Climate Experiment Time Coverage & Ensemble Size

The table below shows the ensemble size & time coverage for the climate experiments that are being made available through the FACTS website.

Experiment Identifiers Time Coverage

Number of Ensemble Members
Experiment Name File Name ID ECHAM5 CAM4 ESRL-GFSv2 GEOS-5 AM3 ESRL-CAM5.1 LBNL-CAM5.1
AMIP with Observed Radiative Forcing amip_obs_rf Jan 1979-
April 2016

30
Jan 1979-
May 2015

20
Jan 1979-
March 2016

50
Jan 1871-
Aug 2014

12
Jan 1870-
Feb 2014

12
Jan 1870-
March 2016

16
Jan 1959-
Sep 2014

12
AMIP with 1880s Radiative Forcing amip_1880s_rf Jan 1979-
Dec 2012

10
Jan 1979-
Dec 2012

20
 
AMIP with Natural History Forcing amip_nat_hist Jan 1959-
Oct 2014

50
AMIP with Climatological Radiative Forcing amip_clim_rf Jan 1979-
Dec 2012

10
   
AMIP with Observed Radiative Forcing, Climatological Sea Ice and Polar SST amip_clim_polar Jan 1979-
May 2015

30
Jan 1979-
May 2015

20
Jan 1979-
Jun 2015

50
Leading Pattern of Global SST Variabilty4 with Observed Radiative Forcing eof1_sst Jan 1979-
Apr 2014

30
Jan 1979-
May 2015

20
Jan 1979-
Jun 2015

50
First 2 Leading Patterns of Global SST Variabilty4 with Observed Radiative Forcing eof1+eof2_sst Jan 1979-
Dec 2012

10
   


Single Page

Climate Experiment Variables

The table below shows a list of monthly variables generally being made available through the FACTS website. Each experiment may have only some of the variables available. The netCDF files use the CMIP5 variable names and units where possible and include variable attributes to show the original model variable name and units.

  CMIP5 Variables Names and Units Model Variables Names
Variable Description
(long_name attribute)
Variable Name Units CF Standard name ECHAM5 CAM4/CAM5.1 ESRL-GFSv2 AM3 GEOS-5
Surface Upward Latent Heat Flux hfls W m-2 surface_upward_latent_heat_flux ahfl LHFLX lhtfl lhfx
Surface Upward Sensible Heat Flux hfss W m-2 surface_upward_sensible_heat_flux ahfs SHFLX shtfl shfx
Geopotential Height zg m geopotential_height geopoth Z3 hgt h
Precipitation pr kg m-2 s-1 precipitation_flux precip PRECT precip precip pr
Sea Level Pressure psl Pa air_pressure_at_sea_level slp PSL prmsl slp
Air Temperature ta K air_temperature st T tmp t
Near-Surface Air Temperature tas K air_temperature temp2 TREFHT t2m t_ref t2m
Eastward Wind ua m s-1 eastward_wind u U ugrd   u
Northward Wind va m s-1 northward_wind v V vgrd   v

Coordinate Variables

  CMIP5 Variables and Units Model Variables
Variable Description
(long_name attribute)
Variable Name Units CF Standard name ECHAM5 CAM4/CAM5.1 ESRL-GFSv2 AM3 GEOS-5
time time days since ? time time time time time time
latitude lat degrees_north latitude lat lat lat grid_yt lat
longitude lon degrees_east longitude lon lon lon grid_xt lon
pressure plev Pa air_pressure lev level lev   lev


Single Page

Descriptions of the models available in FACTS

AM3

Model:
AM3
Source:
Geophysical Fluid Dynamics Laboratory (GFDL)
Horizontal Resolution:
~1.9ox1.9o (192x92)
Vertical Resolution:
48 layers
References:
Donner, Leo J., Bruce Wyman, Richard S Hemler, Larry W Horowitz, Yi Ming, Ming Zhao, J-C Golaz, Paul Ginoux, Shian-Jiann Lin, M Daniel Schwarzkopf, John Austin, G Alaka, W F Cooke, Thomas L Delworth, Stuart Freidenreich, C Tony Gordon, Stephen M Griffies, Isaac M Held, William J Hurlin, Stephen A Klein, Thomas R Knutson, Amy R Langenhorst, H C Lee, Y Lin, B I Magi, Sergey Malyshev, P C D Milly, Vaishali Naik, Mary Jo Nath, R Pincus, Jeff J Ploshay, V Ramaswamy, Charles J Seman, Elena Shevliakova, Joseph J Sirutis, William F Stern, Ronald J Stouffer, R John Wilson, Michael Winton, Andrew T Wittenberg, and Fanrong Zeng, July 2011: The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL Global Coupled Model CM3. Journal of Climate, 24(13), doi:10.1175/2011JCLI3955.1.

Bretherton, Christopher S., James R McCaa, Herve Grenier, 2004: A New Parameterization for Shallow Cumulus Convection and Its Application to Marine Subtropical Cloud-Topped Boundary Layers. Part I: Description and 1D Results. Monthly Weather Review, 132, 864-882.

Donner, Leo J., Charles J Seman, Richard S Hemler, and Song-Miao Fan, 2001: A Cumulus Parameterization Including Mass Fluxes, Convective Vertical Velocities, and Mesoscale Effects: Thermodynamic and Hydrological Aspects in a General Circulation model. Journal of Climate, 14(16), 3444-3463.

Golaz, J-C, M Salzmann, Leo J Donner, Larry W Horowitz, Yi Ming, and Ming Zhao, July 2011: Sensitivity of the Aerosol Indirect Effect to Subgrid Variability in the Cloud Parameterization of the GFDL Atmosphere General Circulation Model AM3. Journal of Climate, 24(13), DOI:10.1175/2010JCLI3945.1.

Ming, Yi, V Ramaswamy, Leo J Donner, and V T J Phillips, 2006: A new parameterization of cloud droplet activation applicable to general circulation models. Journal of the Atmospheric Sciences, 63(4), DOI:10.1175/JAS3686.1.

Wilcox, E M., and Leo J Donner, 2007: The Frequency of Extreme Rain Events in Satellite Rain-Rate Estimates and an Atmospheric General Circulation Model. Journal of Climate, 20(1), DOI:10.1175/JCLI3987.1

CAM4

Model:
CCSM4.0 CAM
Source:
National Center for Atmospheric Research (NCAR)
Horizontal Resolution:
~1.0oX1.0o (288x192)
Vertical Resolution:
25 layers
References:
Neale, R. B., et al., (2010a), Description of the NCAR Community Atmosphere Model (CAM 4.0), NCAR Tech. Note NCAR/TN-XXX+STR, 206 pp., Natl. Cent. for Atmos. Res, Boulder, Colo.

CAM5.1

Model:
CAM-5.1.1 (CESM-1.0)
Source:
National Center for Atmospheric Research (NCAR)
Horizontal Resolution:
~1.0oX1.0o (288x192)
Vertical Resolution:
25 layers
References:
Neale, R. B., et al., (2012), Description of the NCAR Community Atmosphere Model (CAM 5.0), NCAR Tech. Note NCAR/TN-486+STR, 289 pp., Natl. Cent. for Atmos. Res, Boulder, Colo.

ECHAM5

Model:
ECHAM5.4
Source:
Max Planck Institute for Meteorology (MPI)
Horizontal Resolution:
0.75ox0.75o (480x240)
Vertical Resolution:
31 layers
References:
Roeckner, E., G. Bäuml, L. Bonaventura, R. Brokopf, M. Esch, M. Giorgetta, S. Hagemann, I. Kirchner, L. Kornblueh, E. Manzini, A. Rhodin, U. Schlese, U. Schulzweida, and A. Tompkins, 2003: The atmospheric general circulation model ECHAM5. Part I: Model description. Max Planck Institute for Meteorology Rep. 349, 127 pp.

ESRL-GFSv2

Model:
GFSv2 run at ESRL
Source:
NOAA/NWS Environmental Modeling Center (EMC)
Horizontal Resolution:
1.0ox1.0o (360x181)
Vertical Resolution:
64 layers
References:
Suranjana Saha, Shrinivas Moorthi, Xingren Wu, Jiande Wang, Sudhir Nadiga, Patrick Tripp, David Behringer, Yu-Tai Hou, Hui-ya Chuang, Mark Iredell, Michael Ek, Jesse Meng, Rongqian Yang, Malaquías Peña Mendez, Huug van den Dool, Qin Zhang, Wanqiu Wang, Mingyue Chen, and Emily Becker, 2014: The NCEP Climate Forecast System Version 2. J. Climate, 27, 2185–2208. doi: http://dx.doi.org/10.1175/JCLI-D-12-00823.1

GEOS-5

Model:
GEOS-5
Source:
NASA Goddard Space Flight Center (GSFC)
Horizontal Resolution:
1.25ox1o (288x181)
Vertical Resolution:
72 layers
References:
Molod, A., L. Takacs, M. Suarez, J. Bacmeister, I. Somg, and A. Eichmann, 2012: The GEOS-5 Atmospheric General Circulation Model: Mean Climate and Development from MERRA to Fortuna. Tech. rep., NASA Technical Report Series on Global Modeling and Data Assimilation, NASA TM2012-104606, Vol. 28, 117 pp.

Siegfried D. Schubert, Hailan Wang, Randal D. Koster, Max J. Suarez, and Pavel Ya. Groisman, 2014: Northern Eurasian Heat Waves and Droughts. J. Climate, 27, 3169–3207.
(click on a model name to show the details of that model)

Single Page