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mean detrended-bfl [ NiMet CIPH CSMT PcpnCondProb ] : Percent Occurrence of Precipitation Condition in Historical Record data
PcpnCondProb PcpnCondProb PcpnCondProb adif Percent Occurrence of Precipitation Condition in Historical Record from NiMet CIPH CSMT: Climatic Suitability for a Malaria Transmission.Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) periodic (16 Jan - 15 Feb) to (16 Dec - 15 Jan) by 1.0 N= 12 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CI
- 25.0
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- unitless
- history
- detrended-bfl [ NiMet CIPH CSMT PcpnCondProb ]
- Boxes with less than 0.0% dropped
Averaged over T2[1981, 2024] minimum 0.0% data present
mean detrended-bfl [ NiMet CIPH CSMT PcpnCondProb ]- Averaged over X[2.38125E, 14.94375E] Y[3.975N, 14.1N] minimum 0.0% data present
- Boxes with less than 0.0% dropped
References
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Data Views
Views
line plots
color bars
scatter
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 T
- Differentiate along T
- Take differences along T
RMS (root mean square with mean *not* removed) over T |
RMSA (root mean square with mean removed) over T |
Maximum over T |
Minimum over T |
Detrend (best-fit-line) over T |
Note on units