served from IRI/LDEO Climate Data Library
mean ∂S root mean sq detrended-bfl ∫dX detrended-bfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ] : ∂S Accumulated Total Precipitation data
forecast perturbed sfc_precip tp adif int_dX adif adif partial_S ∂S 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
- Longitude (longitude)
- grid: /X (degree_east) ordered (1.253497W) to (0.2464905W) by 2.506993 N= 145 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
- 2.02005700462307×10-07 kilogram meter-2 radian east second-1
- history
- mean $partialdiff sub S$ root mean sq detrended-bfl $integral dX$ detrended-bfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ]
- Averaged over Y[91.25S, 91.25N] M[1, 40] minimum 0.0% data present
Averaged over S[9 Nov 2015, 2400 13 Nov 2019] minimum 0.0% data present
- Averaged over Y[91.25S, 91.25N] M[1, 40] minimum 0.0% data present
Last updated: Fri, 06 Dec 2019 18:45:18 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars
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
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