served from IRI/LDEO Climate Data Library
∫dS [ EU Copernicus CDS C3S DWD GCFS2p0 forecast sst ]: sea surface temperature data
DWD GCFS2p0 forecast sst sea surface temperature 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 (50.0) by 1.0 N= 50 pts :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 16 Oct 2018) to (0000 16 Oct 2020) by 1.0 N= 25 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 (89.5N) to (89.5S) by 1.0 N= 180 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.99900026E20
- fnname
- maskge
- grib_name
- SSTK
- gribcenter
- 78
- gribfield
- 1
- gribleveltype
- 1
- gribNumBits
- 16
- gribparam
- 34
- missing_value
- NaN
- pointwidth
- 0
- process
- 128
- standard_name
- sea_surface_temperature
- units
- 0.0833333333333333 ( degree_Kelvin above 0 ) year
Last updated: Fri, 04 Dec 2020 20:53:42 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | M | S | X | Y | |
 $integral dS$ [ EU Copernicus CDS C3S DWD GCFS2p0 forecast sst ][ 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