data: min $partialdiff sub Y$ [ ENACTS version0 CIPH CSMT AllCondProb ]

min ∂_Y [ ENACTS version0 CIPH CSMT AllCondProb ] : ∂_Y Percent Occurrence of All Three Climate Conditions in Historical Record data

AllCondProb partial_Y min ∂_Y Percent Occurrence of All Three Climate Conditions in Historical Record from ENACTS version0 CIPH CSMT: Climatic Suitability for a Malaria Transmission.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (21.88E) to (51.43E) by 0.05 N= 592 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (11.75S) to (23.1N) by 0.05 N= 698 pts :grid

Other Info

CE

100.0

CI

25.0

colorscalename

precip_colors

CS

0.0

datatype

realarraytype

fnname

flagge

maxncolor

254

missing_value

NaN

pointwidth

1.0

units

57.2957795130823 radian^-1 north

history

flagge [ ( ENACTS version0 monthly temperature tmean ) , 18 ] * flagle [ ( ENACTS version0 monthly temperature tmean ) , 32 ]

ENACTS version0 monthly temperature tmean

Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
X regridded on UEA CRU TS3p21 monthly tmp
Y regridded on UEA CRU TS3p21 monthly tmp
X regridded on ENACTS version0 monthly temperature tmean
Y regridded on ENACTS version0 monthly temperature tmean

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

$partialdiff sub Y$ [ ENACTS version0 CIPH CSMT AllCondProb ]

Averaged over T2[1981, 2010] minimum 0.0% data present

min $partialdiff sub Y$ [ ENACTS version0 CIPH CSMT AllCondProb ]

min over 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, 28 Oct 2024 09:34:35 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT

Data Views

	X	Y
min $partialdiff sub Y$ [ ENACTS version0 CIPH CSMT AllCondProb ] [ 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