served from IRI/LDEO Climate Data Library
UEA CRU Jones HadCRUT2 temp: temperature_anomaly data
temperature_anomaly from UEA CRU Jones HadCRUT2: Combined land and marine [sea surface temperature (SST) anomalies from the Hadley Centre of the UK Meteorological Office] (superseded by HadCRUT3).Independent Variables (Grids)
- Time
- grid: /T (months since 1856-1-1) ordered (Jan 1856) to (Dec 2005) by 1.0 N= 1800 pts :grid
- Longitude
- grid: /X (degree_east) periodic (177.5W) to (177.5E) by 5.0 N= 72 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (87.5N) to (87.5S) by 5.0 N= 36 pts :grid
Other Info
- datatype
- shortarraytype
- missing_value
- -9999
- scale_factor
- 0.01
- units
- degree_Celsius
- valid_min
- null
- standard units*
- degree_Kelvin
References
Jones, P.D. and Moberg, A., 2003: Hemispheric and large-scale surface air temperature variations: an extensive revision and an update to 2001. J. Climate 16, 206-223Jones, P.D., Osborn, T.J., Briffa, K.R., Folland, C.K., Horton, B., Alexander, L.V., Parker, D.E. and Rayner, N.A., 2001: Adjusting for sampling density in grid-box land and ocean surface temperature time series. J. Geophys. Res. 106, 3371-3380.
Brohan, P., J. J. Kennedy, I. Harris, S. F. B. Tett, and P. D. Jones (2006), Uncertainty estimates in regional and global observed temperature changes: A new data set from 1850, J. Geophys. Res., 111, D12106, doi:10.1029/2005JD006548.
Last updated: Mon, 12 Sep 2016 21:11:40 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 UEA CRU Jones HadCRUT2 temp[ X Y | T] | M | M | M |
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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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units