data: CIPH Rwanda CSMT_ENACT falciparum Annual

CIPH Rwanda CSMT_ENACT falciparum Annual_Sum: Number of Months Suitable for Malaria Transmission data

Number of Months Suitable for Malaria Transmission from CIPH Rwanda CSMT_ENACT falciparum: Climatic Suitability for a Malaria Transmission.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (28.525E) to (30.975E) by 0.05000002 N= 50 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (2.975S) to (1.025S) by 0.05 N= 40 pts :grid

Other Info

bufferwordsize

CE

12.5

colorscalename

precip_colors

CS

0.0

datatype

doublearraytype

fnname

flagge

maxncolor

254

missing_value

NaN

scale_max

12.5

scale_min

0.0

units

unitless

history

flagge [ ( Rwanda Monthly climatologies rfe ) , 80 ]

Rwanda Monthly climatologies rfe

Boxes with less than 0.0% dropped
Averaged over T2[1981, 2010] minimum 0.0% data present

X regridded on flagge [ ( Rwanda Monthly climatologies rfe ) , 80 ]
Y regridded on flagge [ ( Rwanda Monthly climatologies rfe ) , 80 ]

[ flagge ( { [ Rwanda ENACTS temperatures ( tmin + tmax ) ] / 2. climatology } , 18 ) * flagle ( { [ Rwanda ENACTS temperatures ( tmin + tmax ) ] / 2. climatology } , 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 [ ( { Rwanda ENACTS temperatures [ tmin + tmax ] } / 2. climatology ) , 18 ] * flagle [ ( { Rwanda ENACTS temperatures [ tmin + tmax ] } / 2. climatology ) , 32 ]

[ Rwanda ENACTS temperatures ( tmin + tmax ) ] / 2. climatology

Boxes with less than 0.0% dropped
Averaged over T2[1981, 2010] 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

Averaged over T2[1981, 2010]
X regridded on NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa climatology
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.

17.67 * [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ( climatology - 273.1 ) ]
Averaged over T2[1981, 2010]

[ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ( climatology - 273.1 ) ] + 243.5

Averaged over T2[1981, 2010]
X regridded on NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp climatology
Y regridded on NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp climatology

[ ( 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

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

CIPH Rwanda CSMT_ENACT falciparum Annual_Sum

Averaged over T[Jan, Dec] 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: Wed, 26 Jun 2024 17:11:54 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT

Data Views

	X	Y
CIPH Rwanda CSMT_ENACT falciparum Annual_Sum[ X Y \|]	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
Differentiate along X Y
Take differences along X Y

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

Note on units