served from IRI/LDEO Climate Data Library
ClimatologyLab gridMET permanent precipitation_amount: Daily Accumulated Precipitation data
Daily Accumulated Precipitation from ClimatologyLab gridMET permanent: Daily gridMET.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered (1 Jan 1979) to (26 Sep 2023) by 1.0 N= 16340 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (124.7667W) to (67.05833W) by 0.04166667 N= 1386 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (25.06667N) to (49.4N) by 0.04166667 N= 585 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- -32767.0
- pointwidth
- 1.0
- units
- mm
- standard units*
- 0.001 meter
Last updated: Tue, 28 Nov 2023 23:17:34 GMT
Expires: Wed, 29 Nov 2023 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 ClimatologyLab gridMET permanent precipitation_amount[ 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