served from IRI/LDEO Climate Data Library
detrended-bfl root mean sq [ ECMWF S2S ECCC forecast control sfc_snow_ice sd ] : Snow Depth Water Equivalent data
forecast control sfc_snow_ice sd sd Snow Depth Water Equivalent from ECMWF S2S ECCC: ECCC Ensemble Prediction System.Independent Variables (Grids)
- Lead (forecast_period)
- grid: /LA (days) ordered (0.5 days) to (31.5 days) by 1.0 N= 32 pts :grid
- latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 1.5 N= 121 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.99900026E20
- gribPDSpattern
- 04XXXX000B013C
- missing_value
- NaN
- pointwidth
- 0.0
- standard_name
- surface_snow_amount
- units
- kg m-2
- standard units*
- kilogram meter-2
- history
- Averaged over X[0.75W, 0.75W] S[0000 7 Jan 2016, 2400 20 Mar 2024] minimum 0.0% data present
Last updated: Fri, 12 Apr 2024 07:17:20 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars
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