AndreasT: trying to find more information provided by Slater. The link on the NSIDC site to an AGU poster doesn't allow access, does anybody know of an accessible copy?
That link has gone dead. It worked for people here 3x in the past. The incompetent AGU only has the abstract, not the poster. Session C31A0622S
Sea ice in the Arctic is changing rapidly. Most noticeable has been the series of record, or near-record, annual minimums in sea ice extent in the past six years. The changing regime of sea ice has prompted much interest in seasonal prediction of sea ice extent, particularly as opportunities for Arctic shipping and resource exploration or extraction increase. This study presents a daily sea ice extent probabilistic forecast method with a 50- day lead time. A base projection is made from historical data and near-real-time sea ice ...
I do have to wonder why this has never been published. Maybe something is in the works or it needed a few years to build a track record. Looking at AG Slater publications on google scholar (he is not on ResearchGate), recent years show quite different research interests (titles below):
Surface Solar Radiation in North America: A Comparison of Observations, Reanalyses, Satellite, and Derived Products*
Snow: A New Model Diagnostic and Seasonal Forecast Influences
Surface Solar Radiation in North America: Observations, Reanalyses, Satellite and Derived Products
Permafrost thaw and resulting soil moisture changes regulate projected high-latitude CO2 and CH4 emissions
Effects of excess ground ice on projections of permafrost in a warming climate
Hydrologic controls on the permafrost carbon-climate feedback
Hydrologic implications of different large-scale meteorological model forcing datasets in mountainous regions
Inference and uncertainty of snow depth spatial distribution at the kilometre scale in the Colorado Rocky Mountains
Probabilistic Forecasting of Arctic Sea Ice ExtentEvaluating methane dynamics under thawing permafrost using CLM4. 5BGC
Understanding uncertainty in process-based hydrological models
Using Satellite Data to Monitor Changes in the Cryosphere
Diagnosing present and future permafrost from climate models
Uncertainty in seasonal snow reconstruction: Relative impacts of model forcing and image availability
Modeling excess ice and thermokarst in the Community Land Model
Climate change 2013: the physical science basis. Contribution of Working Group I to the fifth assessment report of the intergovernmental panel on climate change
Long-term climate change: projections, commitments and irreversibility
Modeling excess ice and thermokarst in the Community Land Model
A computational framework to advance hydrometeorological prediction capabilities in cold regions
Modeling permafrost and hydrological cycle interactions in CESM
…
https://scholar.google.com/citations?hl=en&user=2M_V2wsAAAAJ&view_op=list_works&sortby=pubdate