served from IRI/LDEO Climate Data Library
IRI FD NMME_Seasonal_Forecast ELR_coeffs smooth2a_Gaussian_9_9_75: Gaussian Weights data
Gaussian Weights from IRI FD NMME_Seasonal_Forecast ELR_coeffs: Global Extended Logistic Regression Forecast.Independent Variables (Grids)
- Longitude
- grid: /X_lag (degree_east) ordered (4W) to (4E) by 1.0 N= 9 pts :grid
- Latitude
- grid: /Y_lag (degree_north) ordered (4S) to (4N) by 1.0 N= 9 pts :grid
Other Info
- bufferwordsize
- 4
- datatype
- realarraytype
- units
- unitless
Last updated: Tue, 23 Nov 2021 19:15:51 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
line plots
color bars| X_lag | Y_lag | |
 IRI FD NMME_Seasonal_Forecast ELR_coeffs smooth2a_Gaussian_9_9_75[ X_lag Y_lag |] | 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_lag Y_lag
- Differentiate along X_lag Y_lag
- Take differences along X_lag Y_lag
RMS (root mean square with mean *not* removed) over X_lag Y_lag | X_lag Y_lag |
RMSA (root mean square with mean removed) over X_lag Y_lag | X_lag Y_lag |
Maximum over X_lag Y_lag | X_lag Y_lag |
Minimum over X_lag Y_lag | X_lag Y_lag |
Detrend (best-fit-line) over X_lag Y_lag | X_lag Y_lag |
Note on units