served from IRI/LDEO Climate Data Library
Models SubC ECCC GEPS8 forecast snwd: Snow Density data
ECCC GEPS8 forecast Snow Density from Models SubC: Subseasonal Consortium (SubC).Independent Variables (Grids)
- Lead (forecast_period)
- grid: /L (days) ordered (0.5 days) to (38.5 days) by 1.0 N= 39 pts :grid
- Ensemble Member (realization)
- grid: /M (ids) ordered (0) to (20) by 1.0 N= 21 pts :grid
- Start Time (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered [ (0000 13 Jun 2024) (0000 17 Jun 2024) (0000 20 Jun 2024) (0000 24 Jun 2024) (0000 27 Jun 2024) (0000 1 Jul 2024) (0000 4 Jul 2024) (0000 8 Jul 2024) (0000 11 Jul 2024) (0000 15 Jul 2024) (0000 18 Jul 2024) (0000 22 Jul 2024) (0000 25 Jul 2024) (0000 29 Jul 2024) (0000 1 Aug 2024) (0000 5 Aug 2024) (0000 8 Aug 2024) (0000 12 Aug 2024) (0000 15 Aug 2024) (0000 19 Aug 2024) (0000 22 Aug 2024) (0000 26 Aug 2024) (0000 29 Aug 2024) (0000 2 Sep 2024) (0000 5 Sep 2024) (0000 9 Sep 2024) (0000 12 Sep 2024) (0000 16 Sep 2024) (0000 19 Sep 2024) (0000 23 Sep 2024) (0000 26 Sep 2024) (0000 30 Sep 2024) (0000 3 Oct 2024) (0000 7 Oct 2024)] :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (1W) by 1.0 N= 360 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid
Other Info
- datatype
- realarraytype
- level
- surface
- level_type
- surface
- missing_value
- 9.99900026E20
- pointwidth
- 0.0
- short_name
- SDEN_surface
- standard_name
- snow_density
- units
- kg /m3
- standard units*
- kilogram meter-3
Last updated: Mon, 07 Oct 2024 08:30:04 GMT
Expires: Thu, 10 Oct 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | M | S | X | Y | |
 Models SubC ECCC GEPS8 forecast snwd[ X Y L | S M] | M | M | M | 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 X Y L S M
- Differentiate along X Y L S M
- Take differences along X Y L S M
RMS (root mean square with mean *not* removed) over X Y L S M | X Y X L X S X M Y L Y S Y M L S L M S M | X Y L X Y S X Y M X L S X L M X S M Y L S Y L M Y S M L S M | X Y L S X Y L M X Y S M X L S M Y L S M | X Y L S M |
RMSA (root mean square with mean removed) over X Y L S M | X Y X L X S X M Y L Y S Y M L S L M S M | X Y L X Y S X Y M X L S X L M X S M Y L S Y L M Y S M L S M | X Y L S X Y L M X Y S M X L S M Y L S M | X Y L S M |
Maximum over X Y L S M | X Y X L X S X M Y L Y S Y M L S L M S M | X Y L X Y S X Y M X L S X L M X S M Y L S Y L M Y S M L S M | X Y L S X Y L M X Y S M X L S M Y L S M | X Y L S M |
Minimum over X Y L S M | X Y X L X S X M Y L Y S Y M L S L M S M | X Y L X Y S X Y M X L S X L M X S M Y L S Y L M Y S M L S M | X Y L S X Y L M X Y S M X L S M Y L S M | X Y L S M |
Detrend (best-fit-line) over X Y L S M | X Y X L X S X M Y L Y S Y M L S L M S M | X Y L X Y S X Y M X L S X L M X S M Y L S Y L M Y S M L S M | X Y L S X Y L M X Y S M X L S M Y L S M | X Y L S M |
Note on units