data: $integral dS$ root mean sq detrended-bfl detrended-bfl detrended-bfl [ ECMWF S2S ISAC forecast perturbed sfc

served from IRI/LDEO Climate Data Library

∫dS root mean sq detrended-bfl detrended-bfl detrended-bfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ] : Accumulated Total Precipitation data

forecast perturbed sfc_precip tp adif adif adif adif int_dS Accumulated Total Precipitation from ECMWF S2S ISAC: ISAC-CNR Ensemble.

Independent Variables (Grids)

L (forecast_period): grid: /L (days) ordered (0.5 days) to (30.5 days) by 1.0 N= 31 pts :grid
S (forecast_reference_time): grid: /S (days since 1960-01-01) ordered (1200 8 Nov 2015) to (1200 10 Aug 2023) by 1.0 N= 2833 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
file_missing_value: 9.99900026E20
gribPDSpattern: 04XXXX000B0134
missing_value: NaN
pointwidth: 0.0
standard_name: precipitation_amount
units: 86400 kilogram meter^-2 second
history: Averaged over M[1, 40] X[1.253497W, 0.2464905W] minimum 0.0% data present

Last updated: Fri, 01 Sep 2023 11:19:10 GMT

Data Views

	L	S	Y
$integral dS$ root mean sq detrended-bfl detrended-bfl detrended-bfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ] [ Y L \| S]	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 L S
Differentiate along Y L S
Take differences along Y L S