data: $integral dT$ [ Models NMME CPC-CMAP-URD prate ]

served from IRI/LDEO Climate Data Library

∫dT [ Models NMME CPC-CMAP-URD prate ]: Total Precipitation (CMAP(ocean) + CPC-URD(land)) data

∫dT Total Precipitation (CMAP(ocean) + CPC-URD(land)) : Monthly CMAP precipitation over the ocean and CPC Uniified Raingauge Database over land.

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1982) to (0000 1 Jan 2015) by 1.0 N= 397 pts :grid
longitude (longitude): grid: /X (degree_east) periodic (0) to (1W) by 1.0 N= 360 pts :grid
latitude (latitude): grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -999.0
missing_value: NaN
standard_name: lwe_precipitation_rate
units: mm
standard units*: 0.001 meter

References

Kirtman, Ben P., and Coauthors, 2014: The North American Multimodel Ensemble: Phase-1 seasonal-to-interannual prediction; Phase-2 toward developing intraseasonal prediction. Bull. Amer. Meteor. Soc., 95, 585–601. doi: http://dx.doi.org/10.1175/BAMS-D-12-00050.1

Last updated: Tue, 06 Sep 2022 14:02:18 GMT

Data Views

	T	X	Y
$integral dT$ [ Models NMME CPC-CMAP-URD prate ][ 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