root mean sq anom min ∂X detrended-bfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ] : ∂X Accumulated Total Precipitation data
forecast perturbed sfc_precip tp adif adif partial_X partial_X min
∂X 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
- Longitude (longitude)
- grid: /X (degree_east) periodic [ (2.506993E) (5.013986E) (7.520978E) ... (1.006958E)] 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
- 57.2957795130823 kilogram meter-2 radian-1 east
- history
- root mean sq anom min $partialdiff sub X$ detrended-bfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ]
- min over S[0000 9 Nov 2015, 0000 14 Nov 2019]
Averaged over Y[90N, 90S] M[1, 40] minimum 0.0% data present
Last updated: Fri, 06 Dec 2019 18:45:18 GMT
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
L
- Differentiate along X
L
- Take differences along X
L
Average over
X
L
|
X L
|
RMS (root mean square with mean *not* removed) over
X
L
|
X L
|
RMSA (root mean square with mean removed) over
X
L
|
X L
|
Maximum over
X
L
|
X L
|
Minimum over
X
L
|
X L
|
Detrend (best-fit-line) over
X
L
|
X L
|
Note on units