data: ECMWF GGA sphm climatology

served from IRI/LDEO Climate Data Library

ECMWF GGA sphm climatology: specific humidity data

GGA sphm sphm specific humidity from ECMWF: European Center for Medium Range Weather Forecasts.

Independent Variables (Grids)

P: grid: /P (mb) ordered [ (20.0) (40.0) (60.0) (85.0) (125.0) (175.0) (225.0) (275.0) (350.0) (450.0) (600.0) (775.0) (925.0)] :grid
Time (time): grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid

Other Info

CE: null
CS: null
datatype: realarraytype
units: unitless
history: Averaged over T2[1985, 1992]

References

K. E. Trenberth. Global analyses from ECMWF and Atlas of 1000 to 10 mb Circulation Statistics, number NCAR/TN-373+STR, 1992

Last updated: Mon, 12 Sep 2016 21:39:40 GMT

Data Views

	P	T	X	Y
ECMWF GGA sphm climatology[ Y X P T \|]	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 Y X P T
Differentiate along Y X P T
Take differences along Y X P T