served from IRI/LDEO Climate Data Library
root mean sq detrended-bfl ∂M detrended-bfl detrended-bfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ] : ∂M Accumulated Total Precipitation data
forecast perturbed sfc_precip tp adif adif adif partial_M adif ∂M Accumulated Total Precipitation from ECMWF S2S ISAC: ISAC-CNR Ensemble.Independent Variables (Grids)
- Lead (forecast_period)
- grid: /L (days) ordered (0.0 days) to (31.0 days) by 1.0 N= 32 pts :grid
- M (realization)
- grid: /M (ids) ordered (1.5) to (39.5) by 1.0 N= 39 pts :grid
- forecast start time (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered (0000 9 Nov 2015) to (0000 7 Nov 2019) by 1.0 N= 1460 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
- kg m-2 /ids
- history
- Averaged over X[0, 1.006989E] Y[91.25S, 91.25N] minimum 0.0% data present
Last updated: Fri, 29 Nov 2019 18:05:42 GMT
Data Views
Views
data as colors
data as contours| L | M | S | |
 root mean sq detrended-bfl $partialdiff sub M$ detrended-bfl detrended-bfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ] [ | M L S] | M | M | M |
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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 M L S
- Differentiate along M L S
- Take differences along M L S
RMS (root mean square with mean *not* removed) over M L S | M L M S L S | M L S |
RMSA (root mean square with mean removed) over M L S | M L M S L S | M L S |
Maximum over M L S | M L M S L S | M L S |
Minimum over M L S | M L M S L S | M L S |
Detrend (best-fit-line) over M L S | M L M S L S | M L S |
Note on units