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detrended-bfl ∫dT root mean sq [ CIPH Rwanda CSMT_ENACT falciparum TempCondProb ] : Percent Occurrence of Temperature Condition in Historical Record data
TempCondProb TempCondProb int_dT Percent Occurrence of Temperature Condition in Historical Record from CIPH Rwanda CSMT_ENACT falciparum: Climatic Suitability for a Malaria Transmission.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1960) to (0000 1 Jan 1961) by 1.0 N= 13 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.975S) to (1.025S) by 0.05 N= 40 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CI
- 25.0
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- months
- standard units*
- 0.0833333333333333 year
- history
- CIPH Rwanda CSMT_ENACT falciparum TempCondProb
- Boxes with less than 0.0% dropped
Averaged over T2[1981, 2010] minimum 0.0% data present
detrended-bfl $integral dT$ root mean sq [ CIPH Rwanda CSMT_ENACT falciparum TempCondProb ]- Averaged over X[28.5E, 31E] minimum 0.0% data present
- Boxes with less than 0.0% dropped
References
Grover-Kopec, E. K., M. B. Blumenthal, P. N. Ceccato, T. Dinku, J. Omumbo, S. J. Connor, 2006: Web-based climate information resources for malaria control in Africa. Malaria Journal, 5:38.
Last updated: Wed, 26 Jun 2024 17:08:06 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| T | Y | |
 detrended-bfl $integral dT$ root mean sq [ CIPH Rwanda CSMT_ENACT falciparum TempCondProb ] [ 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