served from IRI/LDEO Climate Data Library
∂Y max max ∂LA [ ECMWF S2S ECCC forecast control sfc_snow_ice sd ] : ∂Y ∂LA Snow Depth Water Equivalent data
forecast control sfc_snow_ice sd sd partial_LA max max max ∂Y ∂LA Snow Depth Water Equivalent from ECMWF S2S ECCC: ECCC Ensemble Prediction System.Independent Variables (Grids)
- LA (forecast_period)
- grid: /LA (days) ordered (1.0 days) to (31.0 days) by 1.0 N= 31 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (88.5N) to (88.5S) by 1.5 N= 119 pts :grid
Other Info
- bufferwordsize
- 4
- datatype
- realarraytype
- file_missing_value
- 9.99900026E20
- gribPDSpattern
- 04XXXX000B013C
- missing_value
- NaN
- pointwidth
- 0.0
- standard_name
- surface_snow_amount
- units
- 0.000663145596216232 kilogram meter-2 radian-1 north second-1
- history
- $partialdiff sub Y$ max max $partialdiff sub LA$ [ ECMWF S2S ECCC forecast control sfc_snow_ice sd ]
- max over S[0000 7 Jan 2016, 0000 7 Nov 2019]
max over X[0.75E, 0.75W]
- max over S[0000 7 Jan 2016, 0000 7 Nov 2019]
Last updated: Sat, 30 Nov 2019 15:38:42 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| LA | Y | |
 $partialdiff sub Y$ max max $partialdiff sub LA$ [ ECMWF S2S ECCC forecast control sfc_snow_ice sd ] [ Y | LA] | M | M |
|---|
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 Y LA
- Differentiate along Y LA
- Take differences along Y LA
RMS (root mean square with mean *not* removed) over Y LA | Y LA |
RMSA (root mean square with mean removed) over Y LA | Y LA |
Maximum over Y LA | Y LA |
Minimum over Y LA | Y LA |
Detrend (best-fit-line) over Y LA | Y LA |
Note on units