served from IRI/LDEO Climate Data Library
root mean sq root mean sq anom ∂X detrended-bfl root mean sq [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ] : ∂X Accumulated Total Precipitation data
forecast perturbed sfc_precip tp tp adif partial_X partial_X partial_X ∂X 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
- 57.2957795130823 kilogram meter-2 radian-1 east
- history
- root mean sq anom $partialdiff sub X$ detrended-bfl root mean sq [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ]
- Averaged over Y[91.25S, 91.25N] L[0.0 days, 31.0 days] minimum 0.0% data present
Averaged over X[1.253496W, 0.246521W] S[0000 9 Nov 2015, 0000 14 Nov 2019] minimum 0.0% data present
root mean sq root mean sq anom $partialdiff sub X$ detrended-bfl root mean sq [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ]- Averaged over M[1.5, 39.5] minimum 0.0% data present
- Averaged over Y[91.25S, 91.25N] L[0.0 days, 31.0 days] minimum 0.0% data present
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