served from IRI/LDEO Climate Data Library
∫dY [ UEA CRU Jones CRUTEM2 count ]
count int_dY from UEA CRU Jones CRUTEM2: Historical land air temperature anomalies (superseded by CRUTEM3).Independent Variables (Grids)
- Time
- grid: /T (months since 1851-1-1) ordered (Jan 1851) to (Dec 2005) by 1.0 N= 1860 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 (90N) to (90S) by 5.0 N= 37 pts :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- missing_value
- NaN
- units
- degree_north
- standard units*
- 0.0174532925199433 radian north
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, 206-223
Last updated: Wed, 13 Feb 2019 20:27:28 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dY$ [ UEA CRU Jones CRUTEM2 count ][ X Y | T] | M | M | M |
|---|
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