served from IRI/LDEO Climate Data Library
∂Y [ ECMWF S2S CMA BCC-CPS-S2Sv2 reforecast perturbed 0-1_m_below_ground sm100 ]: ∂Y Soil Moisture Top 100 cm data
reforecast perturbed 0-1_m_below_ground sm100 ∂Y Soil Moisture Top 100 cm from ECMWF S2S CMA BCC-CPS-S2Sv2: Beijing Climate Center (BCC) Climate Prediction System version 2 for S2S.Independent Variables (Grids)
- Lead (forecast_period)
- grid: /LA (days) ordered (0.5 days) to (59.5 days) by 1.0 N= 60 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 11 Nov 2004) to (0000 9 Nov 2019) by 1.0 N= 5477 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 (89.25N) to (89.25S) by 1.5 N= 120 pts :grid
Other Info
- bufferwordsize
- 4
- datatype
- realarraytype
- file_missing_value
- 9.99900026E20
- fnname
- maskle
- gribPDSpattern
- 04XXXX003D0016XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX0A
- missing_value
- NaN
- pointwidth
- 0.0
- units
- 57.2957795130823 kilogram meter-3 radian-1 north
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 | |
 $partialdiff sub Y$ [ ECMWF S2S CMA BCC-CPS-S2Sv2 reforecast perturbed 0-1_m_below_ground sm100 ][ 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