served from maproom.metmalawi.gov.mw
min [ ∂Y ( ∫dT { UCSB CHIRP v1p0 dekad prcp } climatology ) anomalies ]: ∂Y precipitation data
CHIRP v1p0 dekad prcp int_dT int_dT partial_Y partial_Y ∂Y precipitation from UCSB: UC Santa Barbara.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (0000 1 Jan) to (2359 20 Dec) by 0.333333 N= 36 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (179.975W) to (179.975E) by 0.05 N= 7200 pts :grid
Other Info
- CE
- null
- colorscalename
- prcp_dekadrate_max600_smooth
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9999.0
- maxncolor
- 254
- missing_value
- NaN
- standard_name
- lwe_precipitation_rate
- units
- 4950.35534993031 meter radian-1 north second
- history
- $partialdiff sub Y$ [ $integral dT$ ( UCSB CHIRP v1p0 dekad prcp ) climatology ]
Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2023 - 25 Dec 2024] minimum 0.0% data present
- $partialdiff sub Y$ [ $integral dT$ ( UCSB CHIRP v1p0 dekad prcp ) climatology ] climatology
- Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2023 - 25 Dec 2024] minimum 0.0% data present
Averaged over T2=26 Dec 1959 - 25 Dec 1960 minimum 0.0% data present
- Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2023 - 25 Dec 2024] minimum 0.0% data present
- min over Y[49.95N, 49.95S]
- $partialdiff sub Y$ [ $integral dT$ ( UCSB CHIRP v1p0 dekad prcp ) climatology ]
References
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Expires: Sat, 11 Nov 2023 00:00:00 GMT
Data Views
Views
data as colors
data as contours| T | X | |
 min [ $partialdiff sub Y$ ( $integral dT$ { UCSB CHIRP v1p0 dekad prcp } climatology ) anomalies ][ X T |] | 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 T
- Differentiate along X T
- Take differences along X T
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |
Note on units