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Peru UnifiedPrecipitation Monthly climatology: Monthly Unified Precipitation Climatology data
Peru UnifiedPrecipitation Monthly Monthly Unified Precipitation Climatology from SOURCES: the ANA collection of climate data.Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (84.75W) to (65.25W) by 0.5 N= 40 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (18.75S) to (0.25S) by 0.5 N= 38 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- standard_name
- lwe_precipitation_rate
- units
- mm
- standard units*
- 0.001 meter
- history
- Peru UnifiedPrecipitation Monthly climatology
- Boxes with less than 0.0% dropped
Averaged over T2[2006, 2024] minimum 0.0% data present
- Boxes with less than 0.0% dropped
Last updated: Mon, 09 Jun 2025 02:00:03 GMT
Expires: Mon, 09 Jun 2025 17:20:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 Peru UnifiedPrecipitation Monthly climatology[ 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