data: mean detrended-bfl $partialdiff sub X$ [ Hydromet CIPH CSMT TempCondProb ]

mean detrended-bfl ∂_X [ Hydromet CIPH CSMT TempCondProb ] : ∂_X Percent Occurrence of Temperature Condition in Historical Record data

TempCondProb partial_X adif ∂_X Percent Occurrence of Temperature 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

bufferwordsize

CE

null

CI

25.0

colorscalename

windspeed_colors

CS

null

datatype

doublearraytype

file_missing_value

-99.0

fnname

flagge

maxncolor

254

missing_value

NaN

units

57.2957795130823 radian^-1 east

history

detrended-bfl $partialdiff sub X$ [ Hydromet CIPH CSMT TempCondProb ]

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

mean detrended-bfl $partialdiff sub X$ [ Hydromet CIPH CSMT TempCondProb ]

Averaged over X[61.525W, 56.475W] Y[0.95N, 8.549999N] minimum 0.0% data present

References

Grover-Kopec_etal2006

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

Data Views

	T
mean detrended-bfl $partialdiff sub X$ [ Hydromet CIPH CSMT TempCondProb ] [ 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