What are some of the names of the models used as evidence of global warming?

Question

Al Gore uses alot of models in an inconvenient truth but never mentions the scientists who made them or how they were made. He simply says this is what experts has come across. I would like to see these models myself rather than just hear his explination of them. He also doesnt mention the margin of error that these models use. If you know the name of any of these models it would be a great help.

Answer 1

Table 4. AOGCMs in the Intercomparison

Originating Group Country Model

BCCR Norway BCCR-BCM2.0

CCCma Canada CGCM3.1(T47/T63)

CCSR/NIES/FRCGC Japan MIROC3.2(medres/hires)

CNRM France CNRM-CM3

GFDL USA GFDL-CM2.0/2.1

GISS USA GISS-EH/ER

INM Russia INM-CM3.0

IPSL France IPSL-CM4

LASG/IAP China FGOALS-g1.0

MIUB/METRI/KMA Germany/Korea ECHO-G

MPIfM Germany ECHAM5/MPI-OM

MRI Japan MRI-CGCM2.3.2

NCAR USA CCSM3

NCAR USA PCM

UKMO UK HadCM3

UKMO UK HadGEM1



This article (where the above came from) tests them:



W.D. Collins, V. Ramaswamy, M.D. Schwarzkopf, Y. Sun, R.W. Portmann, Q. Fu, S.E.B. Casanova, J.-L. Dufresne, D.W. Fillmore, P.M.D. Forster, V.Y. Galin, L.K. Gohar, W.J. Ingram, D.P. Kratz, M.-P. Lefebvre, J. Li, P. Marquet, V. Oinas, Y. Tsushima, T. Uchiyama, W.Y. Zhong, J. Geophys. Res. 111, D14317, doi:10.1029/2005JD006713 (2006)



One thing to realize is that the wide variety of models listed above, all give pretty much the same answer. Global warming is real, and mostly caused by us.



There is no credible climatalogical model that says different. "Skeptics" may have words or "logical" arguments, but global warming scientists have the data.



THAT is the reason why the vast majority of the world's climatologists know that global warming is real and mostly caused by us. The science of climatology says so.



Note the word "quantitative" (numerical) in this quote. It speaks volumes.



"There's a better scientific consensus on this [climate change] than on any issue I know -

Global warming is almost a no-brainer at this point,You really can't find intelligent, quantitative arguments to make it go away."



Dr. Jerry Mahlman, NOAA

Answer 2

No offense Dana, although wherein is the evidence that the selection a million green place of living gas isn't the using ingredient? So a protracted way no scientist has come out and defined the implications of water vapor on community climate difference often when you consider that water vapor makes up a grand finished of 95% of all green place of living gases and best a million% of the 95% is guy made. additionally from my coaching the entire charts and archives show that CO2, methane, and diverse green place of living gases lag on the returned of temperature difference now not stress it. Can the guy made crowd upward thrust up with any evidence that would not ignore approximately previous community climate historic previous, would not use laptop contraptions that dumb down the Earth into one variable or few variables inflicting community climate difference? finally, how does the undeniable fact that guy's finished contribution to green place of living gases is at lots 3% using the community climate difference off of a cliff? For the guy bringing up peer reviewed articles as quickly as greater, all that suggests is that persons have confidence your artwork, now not that that is dazzling or nicely technological understand-how. there's an astonishing substitute and the medical community has long previous sparkling of doing relatively learn into doing learn that brings in probable the main money. I relatively have kin which could be into medical learn.

Answer 3

1. Chewbacca

2. The Devito Code

3. Oops, I Think We Did It Again

4. Dr. Strangelove

5. M-5

6. 50,000 BC (before clothing)

7. Skynet

8. AquaWorld

Answer 4

hi,please e-mail me.i need ur suggestions and need to talk about global warming issues..thanks :)

Answer 5

im also interested.

Answer 6

A good summary of recent advances, including an overview of basics and nomenclature, can be found here:

http://ipcc-wg1.ucar.edu/wg1/Report/AR4WG1_Print_Ch08.pdf



If you're looking for individual peer-reviewed papers, they are too numerous to list them all -- there are entire journals devoted to climate modeling. But you can start with these:



* Alexeev, V.A., et al., 1998: Modelling of the present-day climate by the INM RAS atmospheric model “DNM GCM”. Institute of Numerical Mathematics, Moscow, Russia, 200 pp

* Allan, R.P., M.A. Ringer, J.A. Pamment, and A. Slingo, 2004: Simulation of the Earth’s radiation budget by the European Centre for Medium Range Weather Forecasts 40-year Reanalysis (ERA40). J. Geophys. Res.,109, D18107, doi:10.1029/2004JD004816.

* Bernie, D., S.J. Woolnough, J.M. Slingo, and E. Guilyardi, 2005: Modelling diurnal and intraseasonal variability of the ocean mixed layer. J. Clim.,15, 1190–1202.

* Bleck, R., 2002: An oceanic general circulation model framed in hybrid isopycnic-Cartesian coordinates. Ocean Modelling, 4, 55–88.

* Boyle, J.S., et al., 2005: Diagnosis of Community Atmospheric Model 2 (CAM2) in numerical weather forecast configuration at Atmospheric Radiation Measurement (ARM) sites. J. Geophys. Res., 110, doi:10.1029/2004JD005042.

* Brogniez, H., R. Roca, and L. Picon, 2005: Evaluation of the distribution of subtropical free tropospheric humidity in AMIP-2 simulations using METEOSAT water vapour channel data. Geophys. Res. Lett., 32, L19708,doi:10.1029/2005GL024341.

* Brovkin, V., et al., 2002: Carbon cycle, vegetation and climate dynamics in the Holocene: Experiments with the CLIMBER-2 model. Global Biogeochem. Cycles, 16(4), 1139, doi:10.1029/2001GB001662.

* Burke, E.J., S.J. Brown, and N. Christidis, 2006: Modelling the recent evolution of global drought and projections for the 21st century with the Hadley Centre climate model. J. Hydrometeorol., 7, 1113–1125.

* Chapman, W.L., and J. E. Walsh, 2007: Simulations of arctic temperature and pressure by global coupled models. J. Clim., 20, 609-632.

* Claussen, M., et al., 2002: Earth system models of intermediate complexity: closing the gap in the spectrum of climate system models. Clim. Dyn., 18, 579–586.

* Collins, M., S.F.B. Tett, and C. Cooper, 2001: The internal climate variability of HadCM3, a version of the Hadley Centre coupled model without flux adjustments. Clim. Dyn., 17, 61–81.

* Collins, W.D., et al., 2004: Description of the NCAR Community Atmosphere Model (CAM3.0). Technical Note TN-464+STR, National Center for Atmospheric Research, Boulder, CO, 214 pp.

* Collins, W.D., et al., 2006: The Community Climate System Model: CCSM3. J. Clim., 19, 2122–2143.

* Cox, P., 2001: Description of the “TRIFFID” Dynamic Global Vegetation Model. Technical Note 24, Hadley Centre, United Kingdom Meteorological Office, Bracknell, UK.

* Cramer, W., et al., 2001: Global response of terrestrial ecosystem structure and function to CO2 and climate change: results from six dynamic global vegetation models. Global Change Biol., 7, 357–373.

* Crucifix, M., et al., 2002: Climate evolution during the Holocene: A study with an Earth system model of intermediate complexity. Clim. Dyn., 19, 43–60, doi:10.10007/s00382-001-0208-6.

* CSMD (Climate System Modeling Division), 2005: An introduction to the first general operational climate model at the National Climate Center. Advances in Climate System Modeling, 1, National Climate Center, China Meteorological Administration, 14 pp

* Diansky, N.A., and E.M. Volodin, 2002: Simulation of the present-day climate with a coupled atmosphere-ocean general circulation model. Izv. Atmos. Ocean. Phys., 38, 732–747 (English translation).

* Driesschaert, E., 2005: Climate Change over the Next Millennia Using LOVECLIM, a New Earth System Model Including Polar Ice Sheets. PhD Thesis, Université Catholique de Louvain, Louvain-la-Neuve, Belgium, 214 pp, http://edoc.bib.ucl.ac.be:81/ETD-db/collection/available/BelnUcetd-10172005-185914/.

* Emori, S., A. Hasegawa, T. Suzuki, and K. Dairaku, 2005: Validation, parameterization dependence and future projection of daily precipitation simulated with an atmospheric GCM. Geophys. Res. Lett., 32, L06708,doi:10.1029/2004GL022306.

* Flato, G.M., 2005: The Third Generation Coupled Global Climate Model (CGCM3) (and included links to the description of the AGCM3 atmospheric model). http://www.cccma.bc.ec.gc.ca/models/cgcm3.shtml.

* Furevik, T., et al., 2003: Description and evaluation of the Bergen climate model: ARPEGE coupled with MICOM. Clim. Dyn., 21, 27–51.

* Galin, V. Ya., E.M. Volodin, and S.P. Smyshliaev, 2003: Atmospheric general circulation model of INM RAS with ozone dynamics. Russ. Meteorol. Hydrol., 5, 13–22.

* Gallée, H., et al., 1991: Simulation of the last glacial cycle by a coupled, sectorally averaged climate–ice sheet model. Part I: The climate model. J. Geophys. Res., 96, 13139–13161.

* GFDL GAMDT (The GFDL Global Atmospheric Model Development Team), 2004: The new GFDL global atmosphere and land model AM2-LM2: Evaluation with prescribed SST simulations. J. Clim., 17, 4641–4673.

* Gordon, H.B., et al., 2002: The CSIRO Mk3 Climate System Model. CSIRO Atmospheric Research Technical Paper No. 60, Commonwealth Scientific and Industrial Research Organisation Atmospheric Research, Aspendale, Victoria, Australia, 130 pp, http://www.cmar.csiro.au/e-print/open/gordon_2002a.pdf.

* Graham, R.J., et al., 2005: A performance comparison of coupled and uncoupled versions of the Met Office seasonal prediction general circulation model. Tellus, 57A, 320–339.

* Hargreaves, J.C., J.D. Annan, N.R. Edwards, and R. Marsh, 2004: An efficient climate forecasting method using an intermediate complexity Earth System Model and the ensemble Kalman filter. Clim. Dyn., 23, 745–760.

* Hourdin, F., et al., 2006: The LMDZ4 general circulation model: Climate performance and sensitivity to parameterized physics with emphasis on tropical convection. Clim. Dyn., 27, 787–813.

* Hovine, S., and T. Fichefet, 1994: A zonally averaged, three-basin ocean circulation model for climate studies. Clim. Dyn., 15, 1405–1413.

* Jin, X.Z., X.H. Zhang, and T.J. Zhou, 1999: Fundamental framework and experiments of the third generation of the IAP/LASG World Ocean General Circulation Model. Adv. Atmos. Sci., 16, 197–215.

* Johns, T.C., et al., 2006: The new Hadley Centre climate model HadGEM1: Evaluation of coupled simulations. J. Clim., 19, 1327–1353.

* Jones, C.D., et al., 2005: Systematic optimisation and climate simulation of FAMOUS, a fast version of HadCM3. Clim. Dyn., 25, 189–204.

* K-1 Model Developers, 2004: K-1 Coupled Model (MIROC) Description. K-1 Technical Report 1 [Hasumi, H., and S. Emori (eds.)]. Center for Climate System Research, University of Tokyo, Tokyo, Japan, 34 pp., http://www.ccsr.u-tokyo.ac.jp/kyosei/hasumi/MIROC/tech-repo.pdf.

* Kiehl, J.T., and P.R. Gent, 2004: The Community Climate System Model, Version 2. J. Clim., 17, 3666–3682.

* Kiehl, J.T., et al., 1998: The National Center for Atmospheric Research Community Climate Model: CCM3. J. Clim., 11, 1131–1149.

* Krinner, G., et al., 2005: A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system. Global Biogeochem. Cycles, 19, GB1015, doi:10.1029/2003GB002199.

* Lambert, S.J., and G.J. Boer, 2001: CMIP1 evaluation and intercomparison of coupled climate models. Clim. Dyn., 17, 83–106.

* Marchal, O., T.F. Stocker, and F. Joos, 1998: A latitude-depth, circulation biogeochemical ocean model for paleoclimate studies. Tellus, 50B, 290–316.

* Marsland, S.J., et al., 2003: The Max-Planck-Institute global ocean/sea ice model with orthogonal curvilinear coordinates. Ocean Modelling, 5, 91–127.

* Marti, O., et al., 2005: The New IPSL Climate System Model: IPSL-CM4. Note du Pôle de Modélisation No. 26, Institut Pierre Simon Laplace des Sciences de l’Environnement Global, Paris, http://dods.ipsl.jussieu.fr/omamce/IPSLCM4/DocIPSLCM4/FILES/DocIPSLCM4.pdf.

* Martin, G.M., et al., 2006: The physical properties of the atmosphere in the new Hadley Centre Global Environmental Model, HadGEM1. Part I: Model description and global climatology. J. Clim., 19, 1274–1301.

* Maxwell, R.M., and N.L. Miller, 2005: Development of a coupled land surface and groundwater model. J. Hydrometeorol., 6, 233–247.

* McFarlane, N.A., G.J. Boer, J.-P. Blanchet, and M. Lazare, 1992: The Canadian Climate Centre second-generation general circulation model and its equilibrium climate. J. Clim., 5, 1013–1044.

* Montoya, M., et al., 2005: The Earth System Model of Intermediate Complexity CLIMBER-3a. Part I: Description and performance for present day conditions. Clim. Dyn., 25, 237–263, doi:10.1007/s00382-005-0044-1.

* 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, CO, 173 pp.

* Petoukhov, V., et al., 2000: CLIMBER-2: A climate system model of intermediate complexity. Part I: Model description and performance for present climate. Clim. Dyn., 16, 1–17.

* Petoukhov, V., et al., 2005: EMIC Intercomparison Project (EMIP-CO2): Comparative analysis of EMIC simulations of current climate and equilibrium and transient responses to atmospheric CO2 doubling. Clim. Dyn., 25, 363–385, doi:10.1007/s00382-005-0042-3.

* Pope, V.D., M.L. Gallani, P.R. Rowntree, and R.A. Stratton, 2000: The impact of new physical parametrizations in the Hadley Centre climate model: HadAM3. Clim. Dyn., 16, 123–146.

* Power, S.B., and R. Colman, 2006: Multi-decadal predictability in a coupled GCM. Clim. Dyn., 26, 247–272.

* Roeckner, E., et al., 1996: The Atmospheric General Circulation Model ECHAM4: Model Description and Simulation of Present-Day Climate. MPI Report No. 218, Max-Planck-Institut für Meteorologie, Hamburg, Germany, 90 pp.

* Roeckner, E., et al., 2003: The Atmospheric General Circulation Model ECHAM5. Part I: Model Description. MPI Report 349, Max Planck Institute for Meteorology, Hamburg, Germany, 127 pp.

* Salas-Mélia, D., 2002: A global coupled sea ice-ocean model. Ocean Modelling, 4, 137–172.

* Schmidt, G.A., et al., 2006: Present day atmospheric simulations using GISS ModelE: Comparison to in-situ, satellite and reanalysis data. J. Clim., 19, 153–192, http://www.giss.nasa.gov/tools/modelE/.

* Shibata, K., et al., 1999: A simulation of troposphere, stratosphere and mesosphere with an MRI/JMA98 GCM. Papers in Meteorology and Geophysics, 50, 15–53.

* Sokolov, A.P., et al., 2005: The MIT Integrated Global System Model (IGSM), Version 2: Model Description And Baseline Evaluation. Report No. 124, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, http://web.mit.edu/globalchange/www/MITJPSPGC_Rpt124.pdf.

* Weaver, A.J., et al., 2001: The UVic Earth System Climate Model: Model description, climatology and application to past, present and future climates. Atmos.-Ocean, 39, 361–428.

* Yu, Y., Z. Zhang, and Y. Guo, 2004: Global coupled ocean-atmosphere general circulation models in LASG/IAP. Adv. Atmos. Sci., 21, 444–455.

* Yu, Y., R. Yu, X. Zhang, and H. Liu, 2002: A flexible global coupled climate model. Adv. Atmos. Sci., 19(1), 169–190.

* Yukimoto, S., and A. Noda, 2003: Improvements of the Meteorological Research Institute Global Ocean-Atmosphere Coupled GCM (MRIGCM2) and its Climate Sensitivity. CGER’s Supercomputing Activity Report, National Institute for Environmental Studies, Ibaraki, Japan.