sipSep2006_2007: Ensemble sea ice probability for September 2006-2007 (lead...
In IceCast: Apply Statistical Post-Processing to Improve Sea Ice Predictions
Description
Usage
Format
References
Examples
Description
The object sipSep2006_2007 is an array of the proportion of ensemble
members that have sea ice concentrations of at least 15%. The predictions are
are from the European Center for Medium-Range Weather Forecasts (ECMWF)
ensemble and converted to a Polar stereographic grid.
Usage
1
Format
array of dimension of 2 x 304 x 448 (corresponding to year x
longitude x latitude)
References
Comiso, J., 2017: Bootstrap sea ice concentrations
from Nimbus-7 SMMR and DMSP SSM/I-SSMIS. version 3.
Boulder, Colorado USA: NASA National Snow and Ice Data Center
Distributed Active Archive Center.
doi: https://doi.org/10.5067/7Q8HCCWS4I0R
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
1
2
IceCast documentation built on June 24, 2019, 9:03 a.m.
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Description Usage Format References Examples
Description
The object sipSep2006_2007 is an array of the proportion of ensemble
members that have sea ice concentrations of at least 15%. The predictions are
are from the European Center for Medium-Range Weather Forecasts (ECMWF)
ensemble and converted to a Polar stereographic grid.
Usage
1 |
Format
array of dimension of 2 x 304 x 448 (corresponding to year x longitude x latitude)
References
Comiso, J., 2017: Bootstrap sea ice concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS. version 3. Boulder, Colorado USA: NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: https://doi.org/10.5067/7Q8HCCWS4I0R
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
1 2 |
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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