data: max detrended-bfl $integral dX$ [ NiMet CIPH CSMT PcpnCondProb ]

max detrended-bfl ∫dX [ NiMet CIPH CSMT PcpnCondProb ] : Percent Occurrence of Precipitation Condition in Historical Record data

PcpnCondProb int_dX int_dX adif Percent Occurrence of Precipitation Condition in Historical Record from NiMet 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

bufferwordsize

CE

null

CI

25.0

CS

null

datatype

doublearraytype

file_missing_value

-99.0

fnname

flagge

maxncolor

254

missing_value

NaN

units

degree_east

standard units*

0.0174532925199433 radian east

history

detrended-bfl $integral dX$ [ NiMet CIPH CSMT PcpnCondProb ]

Boxes with less than 0.0% dropped
Averaged over T2[1981, 2024] minimum 0.0% data present

max detrended-bfl $integral dX$ [ NiMet CIPH CSMT PcpnCondProb ]

max over X[2.38125E, 14.94375E] Y[3.99375N, 14.08125N]

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: Fri, 14 Feb 2025 14:55:22 GMT

Data Views

	T
max detrended-bfl $integral dX$ [ NiMet 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