detrended-bfl ∂Y [ NiMet CIPH CSMT TempCondProb ] : ∂Y Percent Occurrence of Temperature Condition in Historical Record data
TempCondProb partial_Y ∂Y Percent Occurrence of Temperature 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
Longitude (longitude)
grid: /X (degree_east) ordered (2.4E) to (14.925E) by 0.03750001 N= 335 pts :grid
Latitude (latitude)
grid: /Y (degree_north) ordered (3.99375N) to (14.08125N) by 0.0375 N= 270 pts :grid
Other Info
bufferwordsize
8
CE
null
CI
25.0
CS
null
datatype
doublearraytype
file_missing_value
-99.0
fnname
flagge
maxncolor
254
missing_value
NaN
units
57.2957795130823 radian-1 north
history
detrended-bfl $partialdiff sub Y$ [ NiMet CIPH CSMT TempCondProb ]
Boxes with less than 100.0% dropped Averaged over T2[1981, 2024] minimum 0.0% data present
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.