served from IRI/LDEO Climate Data Library
∫dX [ Models SubC RSMAS CCSM4 forecast va ]: Meridional Velocity data
RSMAS CCSM4 forecast va Meridional Velocity from Models SubC: Subseasonal Consortium (SubC).Independent Variables (Grids)
- Lead (forecast_period)
- grid: /L (days) ordered (0.5 days) to (44.5 days) by 1.0 N= 45 pts :grid
- Ensemble Member (realization)
- grid: /M (ids) ordered (1) to (9) by 1.0 N= 9 pts :grid
- Pressure Level (air_pressure)
- grid: /P (hPa) ordered [ (850) (200) (100)] :grid
- Start Time (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered (0000 25 Jun 2017) to (0000 19 May 2024) by 7.0 N= 361 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (0.5W) to (0.5W) by 1.0 N= 361 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- file_missing_value
- 9.96920997E36
- level_type
- pressure level
- missing_value
- NaN
- standard_name
- northward_wind
- units
- 0.0174532925199433 meter radian east second-1
Last updated: Tue, 21 May 2024 18:39:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | M | P | S | X | Y | |
 $integral dX$ [ Models SubC RSMAS CCSM4 forecast va ][ X Y | L M S P] | M | 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 L M S P
- Differentiate along X Y L M S P
- Take differences along X Y L M S P
RMS (root mean square with mean *not* removed) over X Y L M S P | X Y X L X M X S X P Y L Y M Y S Y P L M L S L P M S M P S P | X Y L X Y M X Y S X Y P X L M X L S X L P X M S X M P X S P Y L M Y L S Y L P Y M S Y M P Y S P L M S L M P L S P M S P | X Y L M X Y L S X Y L P X Y M S X Y M P X Y S P X L M S X L M P X L S P X M S P Y L M S Y L M P Y L S P Y M S P L M S P | X Y L M S X Y L M P X Y L S P X Y M S P X L M S P Y L M S P | X Y L M S P |
RMSA (root mean square with mean removed) over X Y L M S P | X Y X L X M X S X P Y L Y M Y S Y P L M L S L P M S M P S P | X Y L X Y M X Y S X Y P X L M X L S X L P X M S X M P X S P Y L M Y L S Y L P Y M S Y M P Y S P L M S L M P L S P M S P | X Y L M X Y L S X Y L P X Y M S X Y M P X Y S P X L M S X L M P X L S P X M S P Y L M S Y L M P Y L S P Y M S P L M S P | X Y L M S X Y L M P X Y L S P X Y M S P X L M S P Y L M S P | X Y L M S P |
Maximum over X Y L M S P | X Y X L X M X S X P Y L Y M Y S Y P L M L S L P M S M P S P | X Y L X Y M X Y S X Y P X L M X L S X L P X M S X M P X S P Y L M Y L S Y L P Y M S Y M P Y S P L M S L M P L S P M S P | X Y L M X Y L S X Y L P X Y M S X Y M P X Y S P X L M S X L M P X L S P X M S P Y L M S Y L M P Y L S P Y M S P L M S P | X Y L M S X Y L M P X Y L S P X Y M S P X L M S P Y L M S P | X Y L M S P |
Minimum over X Y L M S P | X Y X L X M X S X P Y L Y M Y S Y P L M L S L P M S M P S P | X Y L X Y M X Y S X Y P X L M X L S X L P X M S X M P X S P Y L M Y L S Y L P Y M S Y M P Y S P L M S L M P L S P M S P | X Y L M X Y L S X Y L P X Y M S X Y M P X Y S P X L M S X L M P X L S P X M S P Y L M S Y L M P Y L S P Y M S P L M S P | X Y L M S X Y L M P X Y L S P X Y M S P X L M S P Y L M S P | X Y L M S P |
Detrend (best-fit-line) over X Y L M S P | X Y X L X M X S X P Y L Y M Y S Y P L M L S L P M S M P S P | X Y L X Y M X Y S X Y P X L M X L S X L P X M S X M P X S P Y L M Y L S Y L P Y M S Y M P Y S P L M S L M P L S P M S P | X Y L M X Y L S X Y L P X Y M S X Y M P X Y S P X L M S X L M P X L S P X M S P Y L M S Y L M P Y L S P Y M S P L M S P | X Y L M S X Y L M P X Y L S P X Y M S P X L M S P Y L M S P | X Y L M S P |
Note on units