served from 181.199.253.14
root mean sq anom ∂T ∫dT detrended-bfl [ Hydromet CIPH CSMT RHCondProb ] : ∂T Percent Occurrence of Relative Humidity Condition in Historical Record data
RHCondProb adif int_dT partial_T ∂T Percent Occurrence of Relative Humidity Condition in Historical Record from Hydromet CIPH CSMT: Climatic Suitability for a Malaria Transmission.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (61.525W) to (56.475W) by 0.05000003 N= 102 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (0.975N) to (8.525N) by 0.05 N= 152 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
$partialdiff sub T$ $integral dT$ detrended-bfl [ Hydromet CIPH CSMT RHCondProb ]- Averaged over T2[1991, 2020]
root mean sq anom $partialdiff sub T$ $integral dT$ detrended-bfl [ Hydromet CIPH CSMT RHCondProb ]- Averaged over T[Jan 1960, Dec 1960]
- X regridded on Hydromet CIPH CSMT RH
References
Grover-Kopec_etal2006Last updated: Wed, 02 Jul 2025 14:55:56 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 root mean sq anom $partialdiff sub T$ $integral dT$ detrended-bfl [ Hydromet CIPH CSMT RHCondProb ] [ 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
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