data: $integral dY$ [ NiMet CIPH CSMT AllCondProb ]

∫dY [ NiMet CIPH CSMT AllCondProb ]: Percent Occurrence of All Three Climate Conditions in Historical Record data

AllCondProb Percent Occurrence of All Three Climate Conditions in Historical Record from NiMet CIPH CSMT: Climatic Suitability for a Malaria Transmission.

Independent Variables (Grids)

Month (time): 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 (3.95625N) to (14.11875N) by 0.0375 N= 272 pts :grid

Other Info

bufferwordsize

CE

100.0

CI

25.0

CS

0.0

datatype

doublearraytype

file_missing_value

-99.0

fnname

flagge

maxncolor

254

missing_value

NaN

units

degree_north

standard units*

0.0174532925199433 radian north

history

flagge [ ( NiMet ENACTS ENACTS_v1 ALL Rainfall monthly precip ) , 80 ]
Boxes with less than 0.0% dropped

[ flagge ( { NiMet ENACTS ENACTS_v1 ALL Temperature monthly tmean } , 18 ) * flagle ( { NiMet ENACTS ENACTS_v1 ALL Temperature monthly tmean } , 32 ) ] * flagge [ ( { [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa ] / [ ( { eexp [ ( 17.67 * { NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel [ temp - 273.1 ] } ) / ( { NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel [ temp - 273.1 ] } + 243.5 ) ] * 6.112 } * 0.622 ) / 1000. ] } * 100. 1000 mb ) , 60 ]

flagge [ ( NiMet ENACTS ENACTS_v1 ALL Temperature monthly tmean ) , 18 ] * flagle [ ( NiMet ENACTS ENACTS_v1 ALL Temperature monthly tmean ) , 32 ]
Boxes with less than 100.0% dropped

flagge [ ( { [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa ] / [ ( { eexp [ ( 17.67 * { NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel [ temp - 273.1 ] } ) / ( { NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel [ temp - 273.1 ] } + 243.5 ) ] * 6.112 } * 0.622 ) / 1000. ] } * 100. 1000 mb ) , 60 ]

[ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa ) / ( { [ eexp ( { 17.67 * [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel ( temp - 273.1 ) ] } / { [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel ( temp - 273.1 ) ] + 243.5 } ) * 6.112 ] * 0.622 } / 1000. ) ] * 100. 1000 mb

X regridded on [ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa ) / ( { [ eexp ( { 17.67 * [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel ( temp - 273.1 ) ] } / { [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel ( temp - 273.1 ) ] + 243.5 } ) * 6.112 ] * 0.622 } / 1000. ) ] * 100. 1000 mb
Y regridded on [ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa ) / ( { [ eexp ( { 17.67 * [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel ( temp - 273.1 ) ] } / { [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel ( temp - 273.1 ) ] + 243.5 } ) * 6.112 ] * 0.622 } / 1000. ) ] * 100. 1000 mb

$integral dY$ [ NiMet CIPH CSMT AllCondProb ]

Averaged over T2[1991, 2020] minimum 0.0% data present

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: Mon, 03 Nov 2025 15:04:49 GMT
Expires: Wed, 03 Dec 2025 00:00:00 GMT

Data Views

	T	X	Y
$integral dY$ [ NiMet CIPH CSMT AllCondProb ][ X Y T \|]	M	M	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 Y T
Differentiate along X Y T
Take differences along X Y T