served from IRI/LDEO Climate Data Library
root mean sq min ∂Y ∂S detrended-bfl detrended-bfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ] : ∂Y ∂S Accumulated Total Precipitation data
forecast perturbed sfc_precip tp adif adif partial_S partial_Y min ∂Y ∂S Accumulated Total Precipitation from ECMWF S2S ISAC: ISAC-CNR Ensemble. isIndependent Variables (Grids)
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
- 0.000663145596216232 kilogram meter-2 radian-1 north second-1
- history
- root mean sq min $partialdiff sub Y$ $partialdiff sub S$ detrended-bfl detrended-bfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ]
- min over X[0, 1.5W] M[1, 40] S[9 Nov 2015, 13 Nov 2019]
Averaged over Y[90S, 90N] L[0.0 days, 31.0 days] minimum 0.0% data present
- min over X[0, 1.5W] M[1, 40] S[9 Nov 2015, 13 Nov 2019]
Last updated: Fri, 06 Dec 2019 18:45:18 GMT
Data Views
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units