The object discrep is obtained from running the createMapping
function for September 1993-2007. The predictions used are from European Center
for Medium-Range Weather Forecasts (ECMWF) at a 2.5-month lead time and are
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. The observations used are from the monthly
sea ice concentration obtained fromthe National Aeronautics and Space
Administration (NASA) satellites Nimbus-7 SMMR and DMSP SSM/I-SSMIS and
processed by the bootstrap algorithm. The results are distributed by the
National Snow and Ice Data Center (Comiso 2017).
discrepObject obtained from the createMapping function (see details)
The object discrep is obtained from running the
createMapping function. It is a list of four objects where
startYear and endYear give the
first year and last year that were mapped. The variables
obsList and predList are lists of arrays with one
3-dimensional array for each region. The first dimension is for the
year. The other two dimensions are for the fixed points'
y-coordinates, the mapped points' x-coordinates, the mapped points'
y-coordinates, the length of the mapping vectors in the x-direction,
the length of the vectors in the y-direction, and the angles of the
mapping vectors.
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/.
# NOT RUN {
data(discrep)
names(discrep)
# }
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