data: $partialdiff sub Y$ [ UEA CRU TS2p1 monthly frost anomalies ]

served from IRI/LDEO Climate Data Library

∂_Y [ UEA CRU TS2p1 monthly frost anomalies ]: ∂_Y frost day frequency data

monthly frost frost ∂_Y frost day frequency from UEA CRU TS2p1: Mean surface climate data over global land areas, including tercile and percentile data.

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (Jan 1901) to (Dec 2002) by 1.0 N= 1224 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (179.75W) to (179.75E) by 0.5 N= 720 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 0.5 N= 359 pts :grid

Other Info

CE: null
CS: null
file_missing_value: -9.9899998
missing_value: NaN
units: 59404264.1991637 radian^-1 north second year^-1
history: Averaged over T2[1901, 2002] minimum 0.0% data present

References

Mitchell, T. D., P. D. Jones. An improved method of constructing a database of monthly climate observations and associated high-resolution grids. Int. J. Climatol. 25, 2005

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

Data Views

	T	X	Y
$partialdiff sub Y$ [ UEA CRU TS2p1 monthly frost anomalies ][ 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