data: $partialdiff sub T$ [ Models NMME CPC-CMAP prate ]

served from IRI/LDEO Climate Data Library

∂_T [ Models NMME CPC-CMAP prate ]: ∂_T Precipitation rate data

CPC-CMAP prate ∂_T Precipitation rate from Models NMME: North American Multi-Model Ensemble (NMME).

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (16 Jan 1979 - 15 Feb 1979) to (16 Sep 2010 - 15 Oct 2010) by 1.0 N= 381 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: 4
calendar: standard
center: US Weather Service - National Met. Center
datatype: realarraytype
grib_name: PRATE
gribcenter: 7
gribfield: 1
GRIBgridcode: 3
gribleveltype: 1
gribNumBits: 13
gribparam: 59
PDS_TimeRange: 123
process: Spectral Statistical Interpolation (SSI) analysis from "Final" run.
PTVersion: 2
standard_name: lwe_precipitation_rate
units: 1.38888888888889×10^-07 meter second^-1 year^-1

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: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

	T	X	Y
$partialdiff sub T$ [ Models NMME CPC-CMAP 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