data: $partialdiff sub X$ mean [ ENACTS version0 CIPH CSMT PcpnCondProb ]

∂_X mean [ ENACTS version0 CIPH CSMT PcpnCondProb ] : ∂_X Percent Occurrence of Precipitation Condition in Historical Record data

PcpnCondProb PcpnCondProb ∂_X Percent Occurrence of Precipitation Condition in Historical Record from ENACTS version0 CIPH CSMT: Climatic Suitability for a Malaria Transmission.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (21.88E) to (51.43E) by 0.05 N= 592 pts :grid

Other Info

CE

null

CI

25.0

colorscalename

precip_colors

CS

null

datatype

realarraytype

fnname

flagge

maxncolor

254

missing_value

NaN

pointwidth

1.0

units

57.2957795130823 radian^-1 east

history

$partialdiff sub X$ mean [ ENACTS version0 CIPH CSMT PcpnCondProb ]

Averaged over T2[1981, 2023] minimum 0.0% data present
Averaged over Y[11.8S, 23.15N] T[Jan, Dec] minimum 0.0% data present

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: Thu, 16 May 2024 08:16:46 GMT
Expires: Mon, 10 Jun 2024 00:00:00 GMT

Data Views

	X
$partialdiff sub X$ mean [ ENACTS version0 CIPH CSMT PcpnCondProb ] [ X \|]	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
Differentiate along X
Take differences along X