served from IRI/LDEO Climate Data Library
∂X root mean sq root mean sq anom detrended-bfl mean detrended-bfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ] : ∂X Accumulated Total Precipitation data
forecast perturbed sfc_precip tp adif adif adif adif adif ∂X Accumulated Total Precipitation from ECMWF S2S ISAC: ISAC-CNR Ensemble.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) periodic [ (1.253496W) (3.760489E) (6.267482E) ... (0.246521W)] N= 144 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
- 57.2957795130823 kilogram meter-2 radian-1 east
- history
- root mean sq anom detrended-bfl mean detrended-bfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ]
- Averaged over M[1, 40] minimum 0.0% data present
Averaged over Y[90N, 90S] L[0.0 days, 31.0 days] minimum 0.0% data present
$partialdiff sub X$ root mean sq root mean sq anom detrended-bfl mean detrended-bfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ]- Averaged over S[0000 9 Nov 2015, 2400 13 Nov 2019] minimum 0.0% data present
- Averaged over M[1, 40] minimum 0.0% data present
Last updated: Fri, 06 Dec 2019 18:45:18 GMT
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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 X
- Differentiate along X
- Take differences along X
RMS (root mean square with mean *not* removed) over X |
RMSA (root mean square with mean removed) over X |
Maximum over X |
Minimum over X |
Detrend (best-fit-line) over X |
Note on units