served from IRI/LDEO Climate Data Library
∂Y [ IMD RF0p25 gridded daily v1901-2015 rf ]: ∂Y GRIDDED RAINFALL data
rf ∂Y GRIDDED RAINFALL from IMD RF0p25 gridded daily v1901-2015: IMD 0.25 Degree Daily Gridded Precipitation Data Set.Independent Variables (Grids)
- Time (time)
- grid: /T (julian_day) ordered (1 Jan 1901) to (31 Dec 2016) by 1.0 N= 42369 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (66.5E) to (100E) by 0.25 N= 135 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (6.625N) to (38.375N) by 0.25 N= 128 pts :grid
Other Info
- calendar
- standard
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- rainfall_rate
- step
- 1.0
- units
- 6.63145596216231×10-07 meter radian-1 north second-1
Last updated: Fri, 07 Jul 2017 16:23:47 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub Y$ [ IMD RF0p25 gridded daily v1901-2015 rf ][ 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