served from 181.199.253.14
mean detrended-bfl [ Hydromet CIPH CSMT RHCondProb ] : Percent Occurrence of Relative Humidity Condition in Historical Record data
RHCondProb adif Percent Occurrence of Relative Humidity Condition in Historical Record from Hydromet CIPH CSMT: Climatic Suitability for a Malaria Transmission.Independent Variables (Grids)
- Month (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (61.525W) to (56.475W) by 0.05000003 N= 102 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CI
- 25.0
- CS
- null
- datatype
- doublearraytype
- 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
- subcenter
- NCEP Ensemble Products
- units
- unitless
- history
- Hydromet CIPH CSMT RH
- X regridded on Hydromet CIPH CSMT RH
Y regridded on Hydromet CIPH CSMT RH
detrended-bfl [ Hydromet CIPH CSMT RHCondProb ]- Averaged over T2[1991, 2020]
mean detrended-bfl [ Hydromet CIPH CSMT RHCondProb ]- Averaged over Y[0.95N, 8.549999N]
- X regridded on Hydromet CIPH CSMT RH
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: Fri, 03 Oct 2025 15:15:25 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| T | X | |
 mean detrended-bfl [ Hydromet CIPH CSMT RHCondProb ] [ X T |] | 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 T
- Differentiate along X T
- Take differences along X T
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |
Note on units