data: Models NMME NASA-GEOSS2S FORECAST MONTHLY mrsov

served from IRI/LDEO Climate Data Library

Models NMME NASA-GEOSS2S FORECAST MONTHLY mrsov: Soil Moisture data

NASA-GEOSS2S FORECAST MONTHLY Soil Moisture from Models NMME: North American Multi-Model Ensemble (NMME).

Independent Variables (Grids)

Lead (forecast_period): grid: /L (months) ordered (0.5 months) to (8.5 months) by 1.0 N= 9 pts :grid
Ensemble Member (realization): grid: /M (unitless) ordered (1.0) to (10.0) by 1.0 N= 10 pts :grid
Forecast Start Time (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Feb 2017) to (0000 1 May 2024) by 1.0 N= 88 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
Height (height): grid: /Z (m) ordered [ (2.0)] :grid

Other Info

datatype: doublearraytype
fmissing_value: 9.99999987E14
missing_value: 9.99999987E14
pointwidth: 0
units: unitless
vmax: 9.99999987E14
vmin: -9.99999987E14

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: Mon, 05 Apr 2021 17:20:49 GMT

Data Views

	L	M	S	X	Y	Z
Models NMME NASA-GEOSS2S FORECAST MONTHLY mrsov 2.0 m[ X Y Z \| M L S]	M	M	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 M L S
Differentiate along X Y M L S
Take differences along X Y M L S