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

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

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

Independent Variables (Grids)

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

0.000304617419786709 radian² east

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

$integral dX$ $integral dY$ [ NiMet CIPH CSMT AllCondProb ]

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

min $integral dX$ $integral dY$ [ NiMet CIPH CSMT AllCondProb ]

min over X[2.38125E, 14.94375E] Y[3.95625N, 14.11875N] T[Jan, Dec]

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

[ |]

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
Differentiate along
Take differences along

Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over

Note on units