served from IRI/LDEO Climate Data Library
∫dT ∫dX ∫dY ∂X ∫dY ∫dY [ NASA msu precipitation ] : ∂X precipitation data
precipitation int_dY int_dY partial_X int_dY int_dX ∂X precipitation from NASA msu: Gridded oceanic rainfall data from the Microwave Sounding Unit.Independent Variables (Grids)
- Time (time)
- grid: /T (julian_day) ordered (0000 1 Jan 1979) to (0000 1 Jun 1994) by 1.0 N= 5631 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (178.75E) to (178.75E) by 2.5 N= 145 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (62.5N) to (62.5S) by 2.5 N= 51 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.900002
- missing_value
- NaN
- units
- 0.000459352247115554 meter radian3 east second
References
Spencer, R.W. and J.R. Christy, 1990: Precise monitoring of global temperature trends from satellites. Science, 247, 1558-1562.Spencer, R.W., J.R. Christy, and N.C. Grody, 1990: Global atmospheric temperature monitoring with satellite microwave measurements: Methods and results 1979-84. J. Climate, 3, 1111-1128.
Spencer, R.W. and J.R. Christy, 1993: Precision lower stratospheric temperature monitoring with the MSU: Technique, validation, and results 1979-91. J. Climate, 6, 1194-1204.
Last updated: Tue, 19 May 2015 19:17:47 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dT$ $integral dX$ $integral dY$ $partialdiff sub X$ $integral dY$ $integral dY$ [ NASA 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