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∫dX [ UCSB CHIRP v1p0 dekad prcp ] climatology anomalies climatology: precipitation data
CHIRP v1p0 dekad prcp int_dX int_dX int_dX int_dX precipitation from UCSB: UC Santa Barbara.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (2331 30 Dec 1959 - 2332 10 Jan 1960) to (0027 21 Dec 1960 - 0028 1 Jan 1961) by 0.3333705 N= 36 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (180W) to (180) by 0.05 N= 7201 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (49.95N) to (49.95S) by 0.05 N= 1999 pts :grid
Other Info
- CE
- null
- colorscalename
- prcp_dekadrate_max600_smooth
- Conventions
- COARDS
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9999.0
- maxncolor
- 254
- missing_value
- NaN
- standard_name
- lwe_precipitation_rate
- units
- 1.74532925199433×10-05 meter radian east
- history
- $integral dX$ [ UCSB CHIRP v1p0 dekad prcp ] climatology
Averaged over T2[1981, 2024] minimum 0.0% data present
- $integral dX$ [ UCSB CHIRP v1p0 dekad prcp ] climatology climatology
- Averaged over T2[1981, 2024] minimum 0.0% data present
Averaged over T2=0000 1 Jan 1960 - 0000 1 Jan 1961 minimum 0.0% data present
- Averaged over T2[1981, 2024] minimum 0.0% data present
- Averaged over T2=0001BC minimum 0.0% data present
- $integral dX$ [ UCSB CHIRP v1p0 dekad prcp ] climatology
References
Funk, C. C, Peterson, P. J., Landsfeld, M. F., Pedreros, D. H., Verdin, J. P., Rowland, J. D., Romero, B. E., Husak, G. J. Michaelsen, J. C., and Verdin, A. P., 2014, A quasi-global precipitation time series for drought monitoring: U. S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832.
Last updated: Thu, 02 Nov 2023 07:43:25 GMT
Expires: Sat, 11 Nov 2023 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
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