Climate model data
Canadian Centre for Climate Modelling and Analysis
CanESM2 / CGCM4 model output
Models/CanCM4:
CMIP5 Experiments
Experiment ID | Experiment name |
---|---|
decadal1960 | 30-year run initialized in year 1960 |
decadal1961 | 10-year run initialized in year 1961 |
decadal1962 | 10-year run initialized in year 1962 |
decadal1963 | 10-year run initialized in year 1963 |
decadal1964 | 10-year run initialized in year 1964 |
decadal1965 | 10-year run initialized in year 1965 |
decadal1966 | 10-year run initialized in year 1966 |
decadal1967 | 10-year run initialized in year 1967 |
decadal1968 | 10-year run initialized in year 1968 |
decadal1969 | 10-year run initialized in year 1969 |
decadal1970 | 10-year run initialized in year 1970 |
decadal1971 | 10-year run initialized in year 1971 |
decadal1972 | 10-year run initialized in year 1972 |
decadal1973 | 10-year run initialized in year 1973 |
decadal1974 | 10-year run initialized in year 1974 |
decadal1975 | 10-year run initialized in year 1975 |
decadal1976 | 10-year run initialized in year 1976 |
decadal1977 | 10-year run initialized in year 1977 |
decadal1978 | 10-year run initialized in year 1978 |
decadal1979 | 10-year run initialized in year 1979 |
decadal1980 | 30-year run initialized in year 1980 |
decadal1981 | 10-year run initialized in year 1981 |
decadal1982 | 10-year run initialized in year 1982 |
decadal1983 | 10-year run initialized in year 1983 |
decadal1984 | 10-year run initialized in year 1984 |
decadal1985 | 10-year run initialized in year 1985 |
decadal1986 | 10-year run initialized in year 1986 |
decadal1987 | 10-year run initialized in year 1987 |
decadal1988 | 10-year run initialized in year 1988 |
decadal1989 | 10-year run initialized in year 1989 |
decadal1990 | 10-year run initialized in year 1990 |
decadal1991 | 10-year run initialized in year 1991 |
decadal1992 | 10-year run initialized in year 1992 |
decadal1993 | 10-year run initialized in year 1993 |
decadal1994 | 10-year run initialized in year 1994 |
decadal1995 | 10-year run initialized in year 1995 |
decadal1996 | 10-year run initialized in year 1996 |
decadal1997 | 10-year run initialized in year 1997 |
decadal1998 | 10-year run initialized in year 1998 |
decadal1999 | 10-year run initialized in year 1999 |
decadal2000 | 10-year run initialized in year 2000 |
decadal2001 | 10-year run initialized in year 2001 |
decadal2002 | 10-year run initialized in year 2002 |
decadal2003 | 10-year run initialized in year 2003 |
decadal2004 | 10-year run initialized in year 2004 |
decadal2005 | 30-year run initialized in year 2005 |
decadal2006 | 10-year run initialized in year 2006 |
decadal2007 | 10-year run initialized in year 2007 |
decadal2008 | 10-year run initialized in year 2008 |
decadal2009 | 10-year run initialized in year 2009 |
decadal2010 | 10-year run initialized in year 2010 |
decadal2011 | 10-year run initialized in year 2011 |
decadal2012 | 10-year run initialized in year 2012 |
decadal2013 | 10-year run initialized in year 2013 |
decadal2014 | 10-year run initialized in year 2014 |
decadal2015 | 10-year run initialized in year 2015 |
decadal2016 | 10-year run initialized in year 2016 |
decadal2017 | 10-year run initialized in year 2017 |
historical | historical |
rcp45 | RCP4.5 |
User information
The user should be aware that grid box values are not directly comparable to station data. Climate models attempt to represent the full climate system from first principles on large scales. Physical "parameterizations" are used to approximate the effects of unresolved small scale processes because it is not economically feasible to include detailed representations of these processes in present day models. Caution is therefore needed when comparing climate model output with observations or analyses on spatial scales shorter than several grid lengths (hundreds of km), or when using model output to study the impacts of climate variability and change.
The user is further cautioned that estimates of climate variability and change obtained from climate model results are subject to sampling variability. This uncertainty arises from the natural variability that is part of the observed climate system and is generally well simulated by the climate models.