data: mean [ UEA CRU TS4p07 monthly wet ]

served from 129.236.110.25

mean [ UEA CRU TS4p07 monthly wet ]: wet day frequency data

mean [ UEA CRU TS4p07 monthly wet ].

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) periodic (179.5W) to (180) by 0.5 N= 720 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid

Other Info

CE

null

correlation_decay_distance

450.0

CS

null

datatype

realarraytype

file_missing_value

9.96920997E36

maxncolor

254

missing_value

NaN

standard_name

number_of_days_with_lwe_thickness_of_precipitation_amount_above_threshold

units

days

standard units*

86400 second

history

mean [ UEA CRU TS4p07 monthly wet ]

Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over T[Jan 1901, Dec 2022] minimum 0.0% data present

References

Harris_etal2013

Last updated: Thu, 18 Jan 2024 13:18:45 GMT

Data Views

	T	X	Y
UEA CRU TS4p07 monthly[frs tmp wet cld vap pre tmn stn tmx pet dtr ]
UEA CRU TS4p07 monthly tmx[ X Y \| T]	M	O=0.25	M
mean [ UEA CRU TS4p07 monthly wet ][ X Y \|]		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
Differentiate along X Y
Take differences along X Y

Average over X Y | X Y |
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |

Note on units