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∫dY ∂X [ UEA CRU TS2p1 monthly prcp ] : ∂X precipitation data
monthly prcp partial_X ∂X precipitation from UEA CRU TS2p1: Mean surface climate data over global land areas, including tercile and percentile data.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1901) to (Dec 2002) by 1.0 N= 1224 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (180W) to (179.5E) by 0.5 N= 720 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90S) to (90N) by 0.5 N= 361 pts :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- missing_value
- NaN
- units
- mm /month
- standard units*
- 0.012 meter year-1
References
Redland error: BDB V4.1+ open of '/local/datalib/tmp/referencelist-sp2o.db' failed - No such file or directoryLast updated: Tue, 24 Apr 2018 19:27:11 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dY$ $partialdiff sub X$ [ UEA CRU TS2p1 monthly prcp ] [ 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