data: min $integral dY$ [ NiMet CIPH CSMT Annual

min ∫dY [ NiMet CIPH CSMT Annual_Sum ] : Number of Months Suitable for Malaria Transmission data

Annual_Sum int_dY Number of Months Suitable for Malaria Transmission from NiMet CIPH CSMT: Climatic Suitability for a Malaria Transmission.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (2.4E) to (14.925E) by 0.03750001 N= 335 pts :grid

Other Info

bufferwordsize

CE

12.5

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 c9120 precip ) , 80 ]

NiMet ENACTS ENACTS_v1 ALL Rainfall monthly c9120 precip

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

[ flagge ( { NiMet ENACTS ENACTS_v1 ALL Temperature monthly c9120 tmean } , 18 ) * flagle ( { NiMet ENACTS ENACTS_v1 ALL Temperature monthly c9120 tmean } , 32 ) ] * flagge [ ( { [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa climatology ] / [ ( { eexp [ ( 17.67 * { NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp [ climatology - 273.1 ] } ) / ( { NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp [ climatology - 273.1 ] } + 243.5 ) ] * 6.112 } * 0.622 ) / 1000. ] } * 100. 1000 mb ) , 60 ]

flagge [ ( NiMet ENACTS ENACTS_v1 ALL Temperature monthly c9120 tmean ) , 18 ] * flagle [ ( NiMet ENACTS ENACTS_v1 ALL Temperature monthly c9120 tmean ) , 32 ]

NiMet ENACTS ENACTS_v1 ALL Temperature monthly c9120 tmax

Boxes with less than 100.0% dropped
Averaged over T2[1991, 2020] minimum 0.0% data present

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

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

Averaged over T2[1991, 2020]
X regridded on [ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa climatology ) / ( { [ eexp ( { 17.67 * [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ( climatology - 273.1 ) ] } / { [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ( climatology - 273.1 ) ] + 243.5 } ) * 6.112 ] * 0.622 } / 1000. ) ] * 100. 1000 mb
Y regridded on [ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa climatology ) / ( { [ eexp ( { 17.67 * [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ( climatology - 273.1 ) ] } / { [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ( climatology - 273.1 ) ] + 243.5 } ) * 6.112 ] * 0.622 } / 1000. ) ] * 100. 1000 mb

$integral dY$ [ NiMet CIPH CSMT Annual_Sum ]

Averaged over T[Jan, Dec] minimum 0.0% data present

min $integral dY$ [ NiMet CIPH CSMT Annual_Sum ]

min over Y[3.95625N, 14.11875N]

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

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min $integral dY$ [ NiMet CIPH CSMT Annual_Sum ] [ X \|]	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
Differentiate along X
Take differences along X