served from IRI/LDEO Climate Data Library
root mean sq 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 adif 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
- kg m-2
- standard units*
- kilogram meter-2
- history
- root mean sq root mean sq detrended-bfl detrended-bfl detrended-bfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ]
- Averaged over M[1, 40] S[9 Nov 2015, 2400 9 Aug 2023] minimum 0.0% data present
Averaged over X[1.253497W, 0.2464905W] L[0.0 days, 31.0 days] Y[91.25S, 91.25N] minimum 0.0% data present
- Averaged over M[1, 40] S[9 Nov 2015, 2400 9 Aug 2023] minimum 0.0% data present
Last updated: Fri, 01 Sep 2023 11:19:10 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