served from IRI/LDEO Climate Data Library
∂S [ EU Copernicus CDS C3S Meteo_France System5 forecast prcp ]: ∂S total precipitation data
Meteo_France System5 forecast prcp ∂S total precipitation from EU Copernicus CDS C3S: Copernicus Climate Change Service.Independent Variables (Grids)
- Lead (forecast_period)
- grid: /L (months) ordered (0.5 months) to (5.5 months) by 1.0 N= 6 pts :grid
- member
- grid: /M (unitless) ordered (1.0) to (51.0) by 1.0 N= 51 pts :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (Sep 2017) to (Sep 2018) by 1.0 N= 13 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (1W) by 1.0 N= 360 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 1.0 N= 181 pts :grid
Other Info
- bufferwordsize
- 4
- datatype
- realarraytype
- file_missing_value
- 9.99900026E20
- fnname
- maskge
- grib_name
- TP
- gribcenter
- 98
- gribfield
- 1
- gribleveltype
- 1
- gribNumBits
- 16
- gribparam
- 228
- missing_value
- NaN
- pointwidth
- 0
- process
- 147
- standard_name
- lwe_precipitation_rate
- units
- 12 meter second-1 year-1
Last updated: Tue, 08 Dec 2020 21:54:43 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | M | S | X | Y | |
 $partialdiff sub S$ [ EU Copernicus CDS C3S Meteo_France System5 forecast prcp ][ 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