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

served from IRI/LDEO Climate Data Library

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

forecast perturbed sfc_precip tp adif adif adif int_dY 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
Ensemble Member (realization): grid: /M (ids) ordered (1) to (40) by 1.0 N= 40 pts :grid
longitude (longitude): grid: /X (degree_east) periodic (0) to (1.5W) by 2.506993 N= 144 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: 9.99900026E20
gribPDSpattern: 04XXXX000B0134
missing_value: NaN
pointwidth: 0.0
standard_name: precipitation_amount
units: 0.0174532925199433 kilogram meter^-2 radian north
history: Averaged over Y[91.25S, 91.25N] S[0000 9 Nov 2015, 2400 9 Aug 2023] minimum 0.0% data present

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

Data Views

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