data: Models NMME COLA-RSMAS-CCSM3 sc8210 prec

served from IRI/LDEO Climate Data Library

Models NMME COLA-RSMAS-CCSM3 sc8210 prec: Total Precipitation data

COLA-RSMAS-CCSM3 sc8210 Total Precipitation from Models NMME: North American Multi-Model Ensemble (NMME).

Independent Variables (Grids)

L (forecast_period): grid: /L (months) ordered (1.5 months) to (10.5 months) by 1.0 N= 10 pts :grid
S (forecast_reference_time): grid: /S (months since 01-Jan) periodic (0000 1 Jan) to (0000 1 Dec) by 1.0 N= 12 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

datatype: doublearraytype
defaultvalue: 677.0
file_missing_value: 9.96920997E36
lat: 88.927734
lon: 358.59375
missing_value: NaN
pointwidth: 0
standard_name: lwe_precipitation_rate
units: mm /day
standard units*: 1.15740740740741×10^-08 meter second^-1
history: [(mean [ Models NMME COLA-RSMAS-CCSM3 MONTHLY prec ]) [(Averaged over M[0.5, 6.5] minimum 0.0% data present) (Averaged in L with overlapping interval 3) (Boxes with less than 0.0% dropped)] (Averaged over S2[16 Dec 1981 - 15 Dec 1982, 16 Dec 2009 - 15 Dec 2010] minimum 0.0% data present)]

References

Kirtman_etal2014

Last updated: Mon, 05 Oct 2020 18:10:28 GMT

Data Views

	L	S	X	Y
Models NMME COLA-RSMAS-CCSM3 sc8210 prec[ X Y L \| S]	M	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 L S
Differentiate along X Y L S
Take differences along X Y L S