data: DGM Madagascar_v2 CLM CIPH CSMT Annual

served from IRI/LDEO Climate Data Library

DGM Madagascar_v2 CLM CIPH CSMT Annual_Sum: Number of Months Suitable for Malaria Transmission data

Number of Months Suitable for Malaria Transmission from DGM Madagascar_v2 CLM CIPH CSMT: Climatic Suitability for a Malaria Transmission.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (42E) to (51.975E) by 0.03749999 N= 267 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (25.9875S) to (12.0S) by 0.0375 N= 374 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

scale_max

12.5

scale_min

0.0

units

unitless

history

flagge [ ( DGM Madagascar_v2 CLM dekadal rainfall { rfe * 3. } climatology ) , 80 ]

DGM Madagascar_v2 CLM dekadal rainfall [ rfe * 3. ] climatology

Boxes with less than 0.0% dropped
Averaged over T2[1983, 2014] minimum 0.0% data present

[ flagge ( { [ DGM Madagascar_v2 CLM dekadal temperature ( tmin + tmax ) ] / 2. climatology } , 18 ) * flagle ( { [ DGM Madagascar_v2 CLM dekadal temperature ( 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 [ ( { DGM Madagascar_v2 CLM dekadal temperature [ tmin + tmax ] } / 2. climatology ) , 18 ] * flagle [ ( { DGM Madagascar_v2 CLM dekadal temperature [ tmin + tmax ] } / 2. climatology ) , 32 ]

[ DGM Madagascar_v2 CLM dekadal temperature ( tmin + tmax ) ] / 2. climatology

Boxes with less than 0.0% dropped
Averaged over T2[1961, 2014] 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[1983, 2014] minimum 0.0% data present
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
Boxes with less than 0.0% dropped

DGM Madagascar_v2 CLM CIPH CSMT Annual_Sum

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

colorscale

References

Grover-Kopec_etal2006

Last updated: Fri, 03 Nov 2023 20:07:02 GMT

Data Views

	X	Y
DGM Madagascar_v2 CLM CIPH CSMT 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