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Hydromet CIPH CSMT TempCondProb: Percent Occurrence of Temperature Condition in Historical Record data

Percent Occurrence of Temperature Condition in Historical Record from Hydromet CIPH CSMT: Climatic Suitability for a Malaria Transmission.

Independent Variables (Grids)

Month
grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
Longitude (longitude)
grid: /X (degree_east) ordered (61.525W) to (56.475W) by 0.05000003 N= 102 pts :grid
Latitude (latitude)
grid: /Y (degree_north) ordered (0.975N) to (8.525N) by 0.05 N= 152 pts :grid

Other Info

CE
100.0
CI
25.0
colorscalename
windspeed_colors
CS
0.0
datatype
realarraytype
file_missing_value
-99.0
fnname
flagge
maxncolor
254
missing_value
NaN
scale_max
100.0
scale_min
0.0
units
unitless
history
Hydromet CIPH CSMT TempCondProb
Boxes with less than 0.0% dropped
Averaged over T2[1991, 2020] minimum 0.0% data present
colorscale

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: Fri, 26 Jan 2024 17:34:42 GMT
Expires: Thu, 01 Feb 2024 00:00:00 GMT

Data Views

TXY
[ X Y T |]MMM


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. Average over X Y T | X Y X T Y T | 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 |
Convert units from unitless to

Note on units