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root mean sq anom ∂T ∫dY [ ANACIM ENACTS version2 ALL dekadal temperature tmin ] : ∂T Minimum Temperature data
version2 ALL dekadal temperature tmin int_dY partial_T ∂T Minimum Temperature from ANACIM ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (6-15 Jan 1981) (0000 16 Jan 1981 - 1200 26 Jan 1981) (1200 26 Jan 1981 - 2400 5 Feb 1981) ... (6-15 Mar 2025)] N= 1591 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (12.20625N) to (16.81875N) by 0.0375 N= 124 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- missing_value
- NaN
- units
- 2.02005700462307×10-07 degree_Kelvin radian north second-1
- history
- Averaged over X[17.5875W, 11.2125W] minimum 0.0% data present
Last updated: Thu, 26 Oct 2023 14:58:08 GMT
Expires: Wed, 01 Nov 2023 00:00:00 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 root mean sq anom $partialdiff sub T$ $integral dY$ [ ANACIM ENACTS version2 ALL dekadal temperature tmin ] [ Y | 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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units