served from IRI/LDEO Climate Data Library
∫dX [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ]: Accumulated Total Precipitation data
forecast perturbed sfc_precip tp int_dX 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
- Ensemble Member (realization)
- grid: /M (ids) ordered (1) to (40) by 1.0 N= 40 pts :grid
- forecast start time (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered (0000 9 Nov 2015) to (0000 10 Aug 2023) by 1.0 N= 2832 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (1.253497W) to (0.2464905W) by 2.506993 N= 145 pts :grid
- latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid
Other Info
- datatype
- realarraytype
- file_missing_value
- 9.99900026E20
- gribPDSpattern
- 04XXXX000B0134
- missing_value
- NaN
- pointwidth
- 0.0
- standard_name
- precipitation_amount
- units
- 0.0174532925199433 kilogram meter-2 radian east
Last updated: Fri, 10 Nov 2023 19:23:03 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | M | S | X | Y | |
 $integral dX$ [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ][ X Y | M L S] | M | M | 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 X Y M L S
- Differentiate along X Y M L S
- Take differences along X Y M L S
RMS (root mean square with mean *not* removed) over X Y M L S | X Y X M X L X S Y M Y L Y S M L M S L S | X Y M X Y L X Y S X M L X M S X L S Y M L Y M S Y L S M L S | X Y M L X Y M S X Y L S X M L S Y M L S | X Y M L S |
RMSA (root mean square with mean removed) over X Y M L S | X Y X M X L X S Y M Y L Y S M L M S L S | X Y M X Y L X Y S X M L X M S X L S Y M L Y M S Y L S M L S | X Y M L X Y M S X Y L S X M L S Y M L S | X Y M L S |
Maximum over X Y M L S | X Y X M X L X S Y M Y L Y S M L M S L S | X Y M X Y L X Y S X M L X M S X L S Y M L Y M S Y L S M L S | X Y M L X Y M S X Y L S X M L S Y M L S | X Y M L S |
Minimum over X Y M L S | X Y X M X L X S Y M Y L Y S M L M S L S | X Y M X Y L X Y S X M L X M S X L S Y M L Y M S Y L S M L S | X Y M L X Y M S X Y L S X M L S Y M L S | X Y M L S |
Detrend (best-fit-line) over X Y M L S | X Y X M X L X S Y M Y L Y S M L M S L S | X Y M X Y L X Y S X M L X M S X L S Y M L Y M S Y L S M L S | X Y M L X Y M S X Y L S X M L S Y M L S | X Y M L S |
Note on units