data: $partialdiff sub T$ $partialdiff sub X$ $partialdiff sub Y$ $integral dT$ [ Hydromet CIPH CSMT PcpnCondProb ]

∂_T ∂_X ∂_Y ∫dT [ Hydromet CIPH CSMT PcpnCondProb ] : ∂_T ∂_X ∂_Y Percent Occurrence of Precipitation Condition in Historical Record data

PcpnCondProb int_dT partial_Y partial_X ∂_T ∂_X ∂_Y Percent Occurrence of Precipitation Condition in Historical Record from Hydromet CIPH CSMT: Climatic Suitability for a Malaria Transmission.

Independent Variables (Grids)

Time: grid: /T (months since 1960-01-01) ordered (Jan 1960) to (Dec 1960) by 1.0 N= 12 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (61.5W) to (56.5W) by 0.05 N= 101 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (1N) to (8.5N) by 0.05 N= 151 pts :grid

Other Info

CE

100.0

CI

25.0

CS

0.0

datatype

realarraytype

fnname

flagge

maxncolor

254

missing_value

NaN

units

3282.80635001174 radian^-2 north

history

$partialdiff sub T$ $partialdiff sub X$ $partialdiff sub Y$ $integral dT$ [ Hydromet CIPH CSMT PcpnCondProb ]

Boxes with less than 0.0% dropped
Averaged over T2[1991, 2020] minimum 0.0% data present

colorscale

References

Grover-Kopec_etal2006

Last updated: Wed, 09 Jul 2025 13:02:39 GMT
Expires: Fri, 11 Jul 2025 00:00:00 GMT

Data Views

	T	X	Y
$partialdiff sub T$ $partialdiff sub X$ $partialdiff sub Y$ $integral dT$ [ Hydromet CIPH CSMT PcpnCondProb ] [ X Y T \|]	M	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 X Y T
Differentiate along X Y T
Take differences along X Y T