sipSep2008: Ensemble estimated sea ice probability September 2008 (lead...
In IceCast: Apply Statistical Post-Processing to Improve Sea Ice Predictions
Description
Usage
Format
References
Description
The object sip2006_2007 is an array of the sea ice probability
predicted from the European Center for Medium-Range Weather Forecasts
(ECMWF) ensemble converted to a Polar stereographic grid.
The object sipSep2008 is an array of the proportion of ensemble
members that have sea ice concentrations of at least 15%. The predictions are
from the European Centerfor Medium-Range Weather Forecasts (ECMWF) ensemble
converted to the Polar stereographic grid.
Usage
1
2
3
Format
matrix of dimension 304 x 448 (longitude x latitude)
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/.#' @examples
data(sipSep2008)
dim(sipSep2008)
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
The object sip2006_2007 is an array of the sea ice probability
predicted from the European Center for Medium-Range Weather Forecasts
(ECMWF) ensemble converted to a Polar stereographic grid.
The object sipSep2008 is an array of the proportion of ensemble
members that have sea ice concentrations of at least 15%. The predictions are
from the European Centerfor Medium-Range Weather Forecasts (ECMWF) ensemble
converted to the Polar stereographic grid.
Usage
1 2 3 |
Format
matrix of dimension 304 x 448 (longitude x latitude)
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/.#' @examples data(sipSep2008) dim(sipSep2008)
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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