served from maproom.nimet.gov.ng
mean [ NiMet CIPH CSMT Annual_Sum ]: Number of Months Suitable for Malaria Transmission data
Annual_Sum Number of Months Suitable for Malaria Transmission from NiMet CIPH CSMT: Climatic Suitability for a Malaria Transmission. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- unitless
- 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
- Boxes with less than 0.0% dropped
- NiMet ENACTS ENACTS_v1 ALL Rainfall monthly c9120 precip
- [ 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
- Boxes with less than 100.0% dropped
- NiMet ENACTS ENACTS_v1 ALL Temperature monthly c9120 tmax
- 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
- Averaged over T2[1991, 2020]
- [ ( 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
- flagge [ ( NiMet ENACTS ENACTS_v1 ALL Temperature monthly c9120 tmean ) , 18 ] * flagle [ ( NiMet ENACTS ENACTS_v1 ALL Temperature monthly c9120 tmean ) , 32 ]
- Averaged over T[Jan, Dec] minimum 0.0% data present
mean [ NiMet CIPH CSMT Annual_Sum ]- Averaged over X[2.38125E, 14.94375E] Y[3.95625N, 14.11875N] minimum 0.0% data present
- flagge [ ( NiMet ENACTS ENACTS_v1 ALL Rainfall monthly c9120 precip ) , 80 ]
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
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