data: min [ Hydromet CIPH CSMT PcpnCondProb ]

min [ Hydromet CIPH CSMT PcpnCondProb ]: Percent Occurrence of Precipitation Condition in Historical Record data

PcpnCondProb Percent Occurrence of Precipitation 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

Other Info

CE

100.0

CI

25.0

CS

0.0

datatype

realarraytype

fnname

flagge

maxncolor

254

missing_value

NaN

scale_max

100.0

scale_min

0.0

units

unitless

history

Hydromet CIPH CSMT PcpnCondProb

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

min [ Hydromet CIPH CSMT PcpnCondProb ]

min over X[61.525W, 56.475W] Y[0.975N, 8.525N]

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

Data Views

	T	X	Y
Hydromet CIPH CSMT[Annual_Sum TempCondProb AllCondProb RHCondProb PcpnCondProb ]
grid: /X (degree_east) ordered (61.525W) to (56.475W) by 0.05000003 N= 102 pts :grid		M
grid: /Y (degree_north) ordered (0.975N) to (8.525N) by 0.05 N= 152 pts :grid			M
grid: /T (days since 1960-01-01) ordered [ (Jan 1960) (Feb 1960) (Mar 1960) (Apr 1960) (May 1960) (Jun 1960) (Jul 1960) (Aug 1960) (Sep 1960) (Oct 1960) (Nov 1960) (Dec 1960)] :grid	D
Hydromet CIPH CSMT TempCondProb[ X Y T \|]	D	M	M
min [ Hydromet CIPH CSMT PcpnCondProb ][ T \|]	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 T
Differentiate along T
Take differences along T