served from IRI/LDEO Climate Data Library
EU Copernicus CDS C3S ECMWF SEAS5 hindcast prcp: total precipitation data
ECMWF SEAS5 hindcast prcp 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 (25.0) by 1.0 N= 25 pts :grid
- Forecast Start Time (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 1981) to (0000 1 Dec 2016) by 1.0 N= 432 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0.5E) to (0.5W) 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
- m s-1
- standard units*
- meter second-1
Last updated: Mon, 03 Feb 2020 20:18:53 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | M | S | X | Y | |
 EU Copernicus CDS C3S ECMWF SEAS5 hindcast 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