Climate Diagnostics Center (CDC), Boulder, CO
Evaluated over the 23 winters, these MOS-based probabilistic forecasts were skillful and highly reliable. When compared against operational NCEP forecasts for a subset of 100 days from the 2001-2002 winters, the MOS-based forecasts were comparatively much more skillful and reliable. For example, the MOS-based week 2 forecasts were more skillful than operational 6-10 day forecasts. Most of the benefit of the MOS approach could be achieved with 10 years of training data, and since sequential sample days provided correlated training data, the costs of re-forecasts could also be reduced by skipping days between forecast samples.
Given the substantial improvements noted here, it is argued that re-forecast based MOS techniques should become an integral part of the medium-range forecast process despite this cost. Techniques for computing re-forecasts while minimizing the impact to operational weather prediction facilities and model development are discussed.