root mean sq ∫dT ∂T [ CIPH Rwanda CSMT_ENACT falciparum AllCondProb ] : ∂T Percent Occurrence of All Three Climate Conditions in Historical Record data
AllCondProb partial_T int_dT
∂T Percent Occurrence of All Three Climate Conditions in Historical Record from CIPH Rwanda CSMT_ENACT falciparum: Climatic Suitability for a Malaria Transmission.
Independent Variables (Grids)
- Month (time)
- grid: /T (months since 01-Jan) ordered (Dec) to (Dec) by 1.0 N= 13 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.975S) to (1.025S) by 0.05 N= 40 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CI
- 25.0
- CS
- null
- datatype
- doublearraytype
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- unitless
- history
- flagge [ ( Rwanda ENACTS rainfall { rfe * 3. } ) , 80 ]
- Boxes with less than 0.0% dropped
X regridded on flagge [ ( Rwanda ENACTS rainfall { rfe * 3. } ) , 80 ]
Y regridded on flagge [ ( Rwanda ENACTS rainfall { rfe * 3. } ) , 80 ]
- [ flagge ( { [ Rwanda ENACTS temperatures ( tmin + tmax ) ] / 2. } , 18 ) * flagle ( { [ Rwanda ENACTS temperatures ( tmin + tmax ) ] / 2. } , 32 ) ] * 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 ]
- flagge [ ( { Rwanda ENACTS temperatures [ tmin + tmax ] } / 2. ) , 18 ] * flagle [ ( { Rwanda ENACTS temperatures [ tmin + tmax ] } / 2. ) , 32 ]
Boxes with less than 0.0% dropped
- 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
- X regridded on NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa
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.
- 17.67 * [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel ( temp - 273.1 ) ]
- X regridded on NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp
Y regridded on NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp
[ ( 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
$integral dT$ $partialdiff sub T$ [ CIPH Rwanda CSMT_ENACT falciparum AllCondProb ] - Averaged over T2[1981, 2010] minimum 0.0% data present
root mean sq $integral dT$ $partialdiff sub T$ [ CIPH Rwanda CSMT_ENACT falciparum AllCondProb ] - Averaged over X[28.5E, 31E] minimum 0.0% data present
References
Grover-Kopec_etal2006
Last updated: Wed, 26 Jun 2024 17:08:06 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT
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 Y
T
- Differentiate along Y
T
- Take differences along Y
T
Average over
Y
T
|
Y T
|
RMS (root mean square with mean *not* removed) over
Y
T
|
Y T
|
RMSA (root mean square with mean removed) over
Y
T
|
Y T
|
Maximum over
Y
T
|
Y T
|
Minimum over
Y
T
|
Y T
|
Detrend (best-fit-line) over
Y
T
|
Y T
|
Note on units