served from IRI/LDEO Climate Data Library
∂Y [ RIHN aphrodite V1101 APHRO_MA_025deg precip ]: ∂Y precipitation data
APHRO_MA_025deg precip ∂Y precipitation from RIHN aphrodite V1101: Asian precipitation products created by the Research Institute for Humanity and Nature and Meteorological Research Institute of Japan Meteorological Agency.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered (1 Jan 1951) to (31 Dec 2007) by 1.0 N= 20819 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (60.125E) to (149.875E) by 0.25 N= 360 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (14.75S) to (54.75N) by 0.25 N= 279 pts :grid
Other Info
- datatype
- realarraytype
- file_missing_value
- -99.900002
- missing_value
- NaN
- pointwidth
- 0
- units
- 6.63145596216231×10-07 meter radian-1 north second-1
References
Hamada2011Xie_etal2007
Yatagai_etal2009
Yatagai_etal2012
Last updated: Fri, 18 Sep 2015 18:39:07 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub Y$ [ RIHN aphrodite V1101 APHRO_MA_025deg precip ][ 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