served from IRI/LDEO Climate Data Library
∫dT ∫dT [ CDIAC msu precipitation ] : precipitation data
precipitation int_dT precipitation from CDIAC msu: MSU-measured precipitation from CDIAC.Independent Variables (Grids)
- Time (time)
- grid: /T (julian_day) ordered (1200 31 Dec 1978) to (1200 1 Jun 1994) by 1.0 N= 5632 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (178.75W) to (178.75E) by 2.5 N= 144 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (58.75N) to (58.75S) by 2.5 N= 48 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.900002
- missing_value
- NaN
- units
- 7464960 meter second2
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 | |
 SOURCES | |||
 $integral dT$ $integral dT$ [ CDIAC msu precipitation ] [ 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