data: $partialdiff sub T$ $integral dY$ $partialdiff sub X$ $integral dT$ [ Hydromet CIPH CSMT TempCondProb ]

∂_T ∫dY ∂_X ∫dT [ Hydromet CIPH CSMT TempCondProb ] : ∂_T ∂_X Percent Occurrence of Temperature Condition in Historical Record data

TempCondProb int_dT partial_X int_dY ∂_T ∂_X Percent Occurrence of Temperature 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 (0.95N) to (8.549999N) by 0.05 N= 153 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

units

unitless

history

$partialdiff sub T$ $integral dY$ $partialdiff sub X$ $integral dT$ [ Hydromet CIPH CSMT TempCondProb ]

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

colorscale

References

Redland error: BDB V4.1+ open of '/ingrid-tmp/referencelist-po2s.db' failed - Permission denied

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

Data Views

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