served from IRI/LDEO Climate Data Library
Models NMME CanSIPS-IC3 CLIMATOLOGY mc9120 vgrd850: Meridional Wind data
mc9120 Meridional Wind from Models NMME CanSIPS-IC3 CLIMATOLOGY: 1991-2020 Climatological Period constructed with CanSIPSv2 hindcasts for 1991- 2018, and Forecasts for 2019 - Dec 2020..Independent Variables (Grids)
- Lead
- grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid
- Pressure Level (air_pressure)
- grid: /P (hPa) ordered [ (850)] :grid
- Forecast Start Time (forecast_reference_time)
- grid: /S (months since 01-Jan) periodic (0000 1 Jan) to (0000 1 Dec) by 1.0 N= 12 pts :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
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.99900026E20
- grib_name
- VGRD
- gribPDSpattern
- 04XXXX
- missing_value
- NaN
- pointwidth
- 0
- standard_name
- northward_wind
- units
- m s-1
- standard units*
- meter second-1
- history
- Models NMME CanSIPS-IC3 CLIMATOLOGY mc9120 vgrd850
- Averaged over M[0.5, 20.5] minimum 0.0% data present
Averaged over S2[16 Dec 1990 - 15 Dec 1991, 16 Dec 2019 - 15 Dec 2020] minimum 0.0% data present
- Averaged over M[0.5, 20.5] minimum 0.0% data present
References
Kirtman, Ben P., and Coauthors, 2014: The North American Multimodel Ensemble: Phase-1 seasonal-to-interannual prediction; Phase-2 toward developing intraseasonal prediction. Bull. Amer. Meteor. Soc., 95, 585–601. doi: http://dx.doi.org/10.1175/BAMS-D-12-00050.1
Last updated: Wed, 22 Feb 2023 16:04:34 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | P | S | X | Y | |
 Models NMME CanSIPS-IC3 CLIMATOLOGY mc9120 vgrd850 850 hPa[ X Y L P 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 L S
- Differentiate along X Y L S
- Take differences along X Y L S
RMS (root mean square with mean *not* removed) over X Y L S | X Y X L X S Y L Y S L S | X Y L X Y S X L S Y L S | X Y L S |
RMSA (root mean square with mean removed) over X Y L S | X Y X L X S Y L Y S L S | X Y L X Y S X L S Y L S | X Y L S |
Maximum over X Y L S | X Y X L X S Y L Y S L S | X Y L X Y S X L S Y L S | X Y L S |
Minimum over X Y L S | X Y X L X S Y L Y S L S | X Y L X Y S X L S Y L S | X Y L S |
Detrend (best-fit-line) over X Y L S | X Y X L X S Y L Y S L S | X Y L X Y S X L S Y L S | X Y L S |
Note on units