∂T [ IRI Analyses CSMT RHCondProb ]: ∂T Percent Occurrence of Relative Humidity Condition in Historical Record data
RHCondProb ∂T Percent Occurrence of Relative Humidity Condition in Historical Record from IRI Analyses CSMT: Climatic Suitability for Malaria Transmission.
Independent Variables (Grids)
Time (time)
grid: /T (months since 01-Jan) periodic (16 Dec - 15 Jan) to (16 Nov - 15 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
subcenter
NCEP Ensemble Products
units
12 year-1
history
$partialdiff sub T$ [ IRI Analyses CSMT RHCondProb ]
Boxes with less than 0.0% dropped Averaged over T2[1951, 2000] minimum 0.0% data present
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.