ppe_9_2008: Post-procesed ensemble forecast for 2008
In IceCast: Apply Statistical Post-Processing to Improve Sea Ice Predictions
Description
Usage
Format
References
Description
Array of dimension year by longitude by latitude.The initial forecasts
are from the European Center for Medium-Range Weather Forecasts (ECMWF)
ensemble at a 2.5-month lead time. They have been converted to a Polar
stereographic grid. Model output is available from
the Sea Ice Prediction Network Predicatability Portal or the Copernicus
Climate Change Service data store.
Usage
1
Format
array
References
Copernicus Climate Change Service (2019). Description of the c3s
seasonal multi-system. https://confluence.ecmwf.int/display/COPSRV/Description+of+the+C3S+seasonal+multi-system
Sea Ice Prediction Network (2019). Sea ice prediction network
predictability portal. https://atmos.uw.edu/sipn/.
IceCast documentation built on June 24, 2019, 9:03 a.m.
R Package Documentation
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Description Usage Format References
Description
Array of dimension year by longitude by latitude.The initial forecasts are from the European Center for Medium-Range Weather Forecasts (ECMWF) ensemble at a 2.5-month lead time. They have been converted to a Polar stereographic grid. Model output is available from the Sea Ice Prediction Network Predicatability Portal or the Copernicus Climate Change Service data store.
Usage
1 |
Format
array
References
Copernicus Climate Change Service (2019). Description of the c3s seasonal multi-system. https://confluence.ecmwf.int/display/COPSRV/Description+of+the+C3S+seasonal+multi-system
Sea Ice Prediction Network (2019). Sea ice prediction network predictability portal. https://atmos.uw.edu/sipn/.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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