data: $integral dY$ detrended-bfl root mean sq $partialdiff sub T$ [ UEA CRU TS3p21 monthly pre ]

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∫dY detrended-bfl root mean sq ∂_T [ UEA CRU TS3p21 monthly pre ] : ∂_T precipitation data

∫dY detrended-bfl root mean sq ∂_T [ UEA CRU TS3p21 monthly pre ] .

Independent Variables (Grids)

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

bufferwordsize

CE

null

correlation_decay_distance

450.0

CS

null

datatype

doublearraytype

file_missing_value

9.96920997E36

maxncolor

254

missing_value

NaN

pointwidth

standard_name

lwe_precipitation_rate

units

0.00251327412287183 meter radian north year^-2

history

$integral dY$ detrended-bfl root mean sq $partialdiff sub T$ [ UEA CRU TS3p21 monthly pre ]

Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over T[16 Jan 1901 - 15 Feb 1901, 16 Nov 2012 - 15 Dec 2012] minimum 0.0% data present

References

Harris_etal2013

Last updated: Fri, 26 Jul 2024 12:21:16 GMT

Data Views

	X	Y
$integral dY$ detrended-bfl root mean sq $partialdiff sub T$ [ UEA CRU TS3p21 monthly pre ] [ 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