served from maproom.meteorwanda.gov.rw
CIPH Rwanda CSMT_ENACT falciparum RHCondProb: Percent Occurrence of Relative Humidity Condition in Historical Record data
RHCondProb Percent Occurrence of Relative Humidity Condition in Historical Record from CIPH Rwanda CSMT_ENACT falciparum: Climatic Suitability for a Malaria Transmission.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered [ (Jan 1960) (Feb 1960) (Mar 1960) (Apr 1960) (May 1960) (Jun 1960) (Jul 1960) (Aug 1960) (Sep 1960) (Oct 1960) (Nov 1960) (Dec 1960)] :grid
- 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
- calendar
- standard
- CE
- 100.0
- center
- US Weather Service - National Met. Center
- CI
- 25.0
- CS
- 0.0
- datatype
- realarraytype
- fnname
- flagge
- grib_name
- SPFH
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 15
- gribparam
- 51
- gribvariable
- 51
- maxncolor
- 254
- PDS_TimeRange
- 113
- pointwidth
- 1.0
- process
- 62 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run
- PTVersion
- 2
- scale_max
- 100.0
- scale_min
- 0.0
- subcenter
- NCEP Ensemble Products
- units
- unitless
- history
- 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
- 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.
- 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
- X regridded on NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp
- 17.67 * [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel ( temp - 273.1 ) ]
- 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
CIPH Rwanda CSMT_ENACT falciparum RHCondProb- Averaged over T2[1981, 2010]
- NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa
- 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, 20 Feb 2019 16:21:55 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 CIPH Rwanda CSMT_ENACT falciparum[PcpnCondProb
AllCondProb
Annual_Sum
TempCondProb
RHCondProb
] | |||
| grid: /X (degree_east) ordered (28.525E) to (30.975E) by 0.05000002 N= 50 pts :grid | M | ||
|---|---|---|---|
| grid: /Y (degree_north) ordered (2.975S) to (1.025S) by 0.05 N= 40 pts :grid | M | ||
| grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid | D | ||
 CIPH Rwanda CSMT_ENACT falciparum RHCondProb[ X Y T |] | M | 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 T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units