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∫dL [ IRI Analyses ICPAC Models COLA-RSMAS COLA-RSMAS-CCSM4 MONTHLY evap ]: canopy evaporation data
Analyses ICPAC Models COLA-RSMAS COLA-RSMAS-CCSM4 MONTHLY evap canopy evaporation from IRI: International Research Institute for Climate and Society.Independent Variables (Grids)
- L (forecast_period)
- grid: /L (months) ordered (0.0 months) to (12.0 months) by 1.0 N= 13 pts :grid
- M (realization)
- grid: /M (unitless) ordered (1.0) to (10.0) by 1.0 N= 10 pts :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 1982) to (0000 1 May 2024) by 1.0 N= 509 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
- cell_method
- time: mean
- CS
- null
- datatype
- doublearraytype
- defaultvalue
- 772.0
- file_missing_value
- 9.99999962E35
- lat
- 90.0
- lon
- 358.75
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.0833333333333333 kilogram second-3 year
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: Sun, 05 May 2024 10:32:22 GMT
Expires: Sat, 01 Jun 2024 00:42:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | M | S | X | Y | |
 $integral dL$ [ IRI Analyses ICPAC Models COLA-RSMAS COLA-RSMAS-CCSM4 MONTHLY evap ][ X Y | M L 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 M L S
- Differentiate along X Y M L S
- Take differences along X Y M L S
RMS (root mean square with mean *not* removed) over X Y M L S | X Y X M X L X S Y M Y L Y S M L M S L S | X Y M X Y L X Y S X M L X M S X L S Y M L Y M S Y L S M L S | X Y M L X Y M S X Y L S X M L S Y M L S | X Y M L S |
RMSA (root mean square with mean removed) over X Y M L S | X Y X M X L X S Y M Y L Y S M L M S L S | X Y M X Y L X Y S X M L X M S X L S Y M L Y M S Y L S M L S | X Y M L X Y M S X Y L S X M L S Y M L S | X Y M L S |
Maximum over X Y M L S | X Y X M X L X S Y M Y L Y S M L M S L S | X Y M X Y L X Y S X M L X M S X L S Y M L Y M S Y L S M L S | X Y M L X Y M S X Y L S X M L S Y M L S | X Y M L S |
Minimum over X Y M L S | X Y X M X L X S Y M Y L Y S M L M S L S | X Y M X Y L X Y S X M L X M S X L S Y M L Y M S Y L S M L S | X Y M L X Y M S X Y L S X M L S Y M L S | X Y M L S |
Detrend (best-fit-line) over X Y M L S | X Y X M X L X S Y M Y L Y S M L M S L S | X Y M X Y L X Y S X M L X M S X L S Y M L Y M S Y L S M L S | X Y M L X Y M S X Y L S X M L S Y M L S | X Y M L S |
Note on units