max ∂X [ Hydromet CIPH CSMT RHCondProb ] : ∂X Percent Occurrence of Relative Humidity Condition in Historical Record data
RHCondProb RHCondProb partial_X partial_X
∂X Percent Occurrence of Relative Humidity Condition in Historical Record from Hydromet CIPH CSMT: Climatic Suitability for a Malaria Transmission.
Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered [ (1200 16 Jan 1960 - 1200 15 Feb 1960) (1200 15 Feb 1960 - 1200 16 Mar 1960) (1200 16 Mar 1960 - 2400 15 Apr 1960) (0000 16 Apr 1960 - 1200 16 May 1960) (1200 16 May 1960 - 2400 15 Jun 1960) (0000 16 Jun 1960 - 1200 16 Jul 1960) (1200 16 Jul 1960 - 1200 16 Aug 1960) (1200 16 Aug 1960 - 2400 15 Sep 1960) (0000 16 Sep 1960 - 1200 16 Oct 1960) (1200 16 Oct 1960 - 2400 15 Nov 1960) (0000 16 Nov 1960 - 1200 16 Dec 1960)] :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
- subcenter
- NCEP Ensemble Products
- units
- 57.2957795130823 radian-1 east
- history
- Hydromet CIPH CSMT RH
- X regridded on Hydromet CIPH CSMT RH
Y regridded on Hydromet CIPH CSMT RH
$partialdiff sub X$ [ Hydromet CIPH CSMT RHCondProb ]- Averaged over T2[1991, 2020]
max $partialdiff sub X$ [ Hydromet CIPH CSMT RHCondProb ] - max over X[61.5W, 56.5W] Y[0.975N, 8.525N]
- colorscale
References
Grover-Kopec_etal2006
Last updated: Wed, 02 Jul 2025 14:55:56 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 T
- Differentiate along T
- Take differences along T
Average over
T
|
RMS (root mean square with mean *not* removed) over
T
|
RMSA (root mean square with mean removed) over
T
|
Maximum over
T
|
Minimum over
T
|
Detrend (best-fit-line) over
T
|
Note on units