∫dT [ NiMet CIPH CSMT TempCondProb ]: Percent Occurrence of Temperature Condition in Historical Record data

TempCondProb Percent Occurrence of Temperature Condition in Historical Record from NiMet CIPH CSMT: 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
Longitude (longitude)
grid: /X (degree_east) ordered (2.4E) to (14.925E) by 0.03750001 N= 335 pts :grid
Latitude (latitude)
grid: /Y (degree_north) ordered (3.975N) to (14.1N) by 0.0375 N= 271 pts :grid

Other Info

bufferwordsize
8
CE
100.0
CI
25.0
CS
0.0
datatype
doublearraytype
file_missing_value
-99.0
fnname
flagge
maxncolor
254
missing_value
NaN
units
months
standard units*
0.0833333333333333 year
history
$integral dT$ [ NiMet CIPH CSMT TempCondProb ]
Boxes with less than 100.0% dropped
Averaged over T2[1981, 2024] 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: Mon, 17 Feb 2025 14:29:37 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 months to

Note on units