served from IRI/LDEO Climate Data Library
ECMWF S2S NCEP reforecast perturbed 0-1_m_below_ground st100: Soil Temperature Top 100 cm data
reforecast perturbed 0-1_m_below_ground Soil Temperature Top 100 cm from ECMWF S2S NCEP: NCEP CFSv2 Ensemble.Independent Variables (Grids)
- Lead (forecast_period)
- grid: /LA (days) ordered (0.5 days) to (43.5 days) by 1.0 N= 44 pts :grid
- Ensemble Member (realization)
- grid: /M (ids) ordered (1) to (3) by 1.0 N= 3 pts :grid
- forecast start time (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered (0000 1 Jan 1999) to (0000 31 Dec 2010) by 1.0 N= 4383 pts :grid
- longitude (longitude)
- grid: /X (degree_east) periodic (0) to (1.5W) by 1.5 N= 240 pts :grid
- latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 1.5 N= 121 pts :grid
Other Info
- bufferwordsize
- 4
- datatype
- realarraytype
- fnname
- maskle
- gribPDSpattern
- 04XXXX003D0002XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX0A
- missing_value
- 9.99900026E20
- pointwidth
- 0.0
- units
- K
- standard units*
- degree_Kelvin above 0
Last updated: Tue, 29 Aug 2023 13:33:38 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| LA | M | S | X | Y | |
 ECMWF S2S NCEP reforecast perturbed 0-1_m_below_ground st100[ X Y | M LA 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 LA S
- Differentiate along X Y M LA S
- Take differences along X Y M LA S
RMS (root mean square with mean *not* removed) over X Y M LA S | X Y X M X LA X S Y M Y LA Y S M LA M S LA S | X Y M X Y LA X Y S X M LA X M S X LA S Y M LA Y M S Y LA S M LA S | X Y M LA X Y M S X Y LA S X M LA S Y M LA S | X Y M LA S |
RMSA (root mean square with mean removed) over X Y M LA S | X Y X M X LA X S Y M Y LA Y S M LA M S LA S | X Y M X Y LA X Y S X M LA X M S X LA S Y M LA Y M S Y LA S M LA S | X Y M LA X Y M S X Y LA S X M LA S Y M LA S | X Y M LA S |
Maximum over X Y M LA S | X Y X M X LA X S Y M Y LA Y S M LA M S LA S | X Y M X Y LA X Y S X M LA X M S X LA S Y M LA Y M S Y LA S M LA S | X Y M LA X Y M S X Y LA S X M LA S Y M LA S | X Y M LA S |
Minimum over X Y M LA S | X Y X M X LA X S Y M Y LA Y S M LA M S LA S | X Y M X Y LA X Y S X M LA X M S X LA S Y M LA Y M S Y LA S M LA S | X Y M LA X Y M S X Y LA S X M LA S Y M LA S | X Y M LA S |
Detrend (best-fit-line) over X Y M LA S | X Y X M X LA X S Y M Y LA Y S M LA M S LA S | X Y M X Y LA X Y S X M LA X M S X LA S Y M LA Y M S Y LA S M LA S | X Y M LA X Y M S X Y LA S X M LA S Y M LA S | X Y M LA S |
Note on units