served from IRI/LDEO Climate Data Library
IRI Analyses CSMT RHCondProb: Percent Occurrence of Relative Humidity Condition in Historical Record data
Percent Occurrence of Relative Humidity Condition in Historical Record from IRI Analyses CSMT: Climatic Suitability for 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 (20.25W) to (55.25E) by 0.5 N= 152 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (40.25S) to (40.25N) by 0.5 N= 162 pts :grid
Other Info
- calendar
- standard
- CE
- 100.0
- center
- US Weather Service - National Met. Center
- CI
- 25.0
- CS
- 0.0
- datatype
- realarraytype
- file_missing_value
- 9.99900026E20
- fnname
- flagge
- grib_name
- SPFH
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 15
- gribparam
- 51
- gribvariable
- 51
- maxncolor
- 254
- missing_value
- NaN
- 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
- IRI Analyses CSMT RHCondProb
- Boxes with less than 0.0% dropped
Averaged over T2[1951, 2000] minimum 0.0% data present
- Boxes with less than 0.0% dropped
- colorscale
References
Grover-Kopec_etal2006Last updated: Fri, 19 Apr 2024 13:58:12 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 IRI Analyses CSMT 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