data: $integral dY$ [ UEA CRU New CRU05 monthly dtr ] climatology

served from IRI/LDEO Climate Data Library

∫dY [ UEA CRU New CRU05 monthly dtr ] climatology: diurnal temperature range data

CRU05 monthly dtr int_dY diurnal temperature range from UEA CRU New: Mean surface climate data over global land areas, including tercile and percentile data.

Independent Variables (Grids)

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 (179.75W) to (179.75E) by 0.5 N= 720 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (90S) to (90N) by 0.5 N= 361 pts :grid

Other Info

CE: null
CS: null
datatype: realarraytype
file_missing_value: -999.90002
missing_value: NaN
units: 0.0174532925199433 degree_Kelvin radian north
history: Averaged over T2[1901, 1995] minimum 0.0% data present

References

New_etal1999

Last updated: Mon, 12 Sep 2016 21:33:46 GMT

Data Views

	T	X	Y
SOURCES
UEA[CRU ]
UEA CRU[New TS3p22 TS4p05 Global TS3p21 TS3p23 TS3p0 TS2p1 TS3p2 TS3p1 Hulme TS4p01 Jones ]
UEA CRU New[CRU05 ]
UEA CRU New CRU05[monthly climatology terciles percentiles ]
$integral dY$ [ UEA CRU New CRU05 monthly dtr ] climatology[ 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