data: $integral dT$ [ IRI Analyses CSMT TempCondProb ]

served from IRI/LDEO Climate Data Library

∫dT [ IRI Analyses CSMT TempCondProb ]: Percent Occurrence of Temperature Condition in Historical Record data

TempCondProb Percent Occurrence of Temperature Condition in Historical Record from IRI Analyses CSMT: Climatic Suitability for Malaria Transmission.

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1960) to (0000 1 Jan 1961) by 1.0 N= 13 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

bufferwordsize: 8
CE: 100.0
CI: 25.0
CS: 0.0
datatype: doublearraytype
file_missing_value: -99.900002
fnname: flagge
maxncolor: 254
missing_value: NaN
units: months
standard units*: 0.0833333333333333 year
history: Averaged over T2[1951, 2000] minimum 0.0% data present
colorscale

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: Mon, 12 Sep 2016 21:33:48 GMT

Data Views

	T	X	Y
$integral dT$ [ IRI Analyses CSMT TempCondProb ][ 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