served from IRI/LDEO Climate Data Library
∂T [ IRI Analyses TS AR4 tas ] anomalies: ∂T temperature at surface data
AR4 tas partial_T ∂T temperature at surface from IRI Analyses TS: Time Scales. isIndependent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered [ (Jul 1959 - Jun 1960)] :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- units
- 12 degree_Kelvin year-1
- history
- $partialdiff sub T$ [ IRI Analyses TS AR4 tas ]
The global temperature signal is computed using an ensemble of general circulation models (GCMs). These models, which constitute a comprehensive representation of our current understanding of the mechanisms of climate variability and change, underlie much of the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC, 2007). Simulations from the "Twentieth Century Climate in Coupled Models" (20C3M) experiment are used. To obtain an estimate of the forced response, we average together the 20th-century global mean temperature records from the members of this ensemble, which here includes 23 (nearly all) of the IPCC GCMs. The multimodel mean signal is further processed, by lowpass filtering.
- $partialdiff sub T$ [ IRI Analyses TS AR4 tas ] climatology
- The global temperature signal is computed using an ensemble of general circulation models (GCMs). These models, which constitute a comprehensive representation of our current understanding of the mechanisms of climate variability and change, underlie much of the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC, 2007). Simulations from the "Twentieth Century Climate in Coupled Models" (20C3M) experiment are used. To obtain an estimate of the forced response, we average together the 20th-century global mean temperature records from the members of this ensemble, which here includes 23 (nearly all) of the IPCC GCMs. The multimodel mean signal is further processed, by lowpass filtering.
Averaged over T2[Jul 1901 - Jun 1902, Jul 2064 - Jun 2065]
- The global temperature signal is computed using an ensemble of general circulation models (GCMs). These models, which constitute a comprehensive representation of our current understanding of the mechanisms of climate variability and change, underlie much of the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC, 2007). Simulations from the "Twentieth Century Climate in Coupled Models" (20C3M) experiment are used. To obtain an estimate of the forced response, we average together the 20th-century global mean temperature records from the members of this ensemble, which here includes 23 (nearly all) of the IPCC GCMs. The multimodel mean signal is further processed, by lowpass filtering.
- $partialdiff sub T$ [ IRI Analyses TS AR4 tas ]
Last updated: Fri, 18 Sep 2015 18:39:07 GMT
Data Views
Filters
Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units