Four-Dimensional Variational Data Assimilation for the Blizzard of 2000

• DOI: 10.1175/1520-0493(2002)130<1967:fdvdaf>2.0.co;2
• Publication Date: 2002-10-11T17:54:39Z
• Authors: Milija Zupanski; Dusanka Zupanski; David F. Parrish; Eric Rogers; Geoffrey DiMego

Abstract Four-dimensional variational (4DVAR) data assimilation experiments for the East Coast winter storm of 25 January 2000 (i.e., “blizzard of 2000”) were performed. This storm has received wide attention in the United States, because it was one of the major failures of the operational forecast system. All operational models of the U.S. National Weather Service (NWS) failed to produce heavy precipitation over the Carolina–New Jersey corridor, especially during the early stage of the storm development. The considered analysis cycle of this study is that of 0000 to 1200 UTC 24 January. This period was chosen because the forecast from 1200 UTC 24 January had the most damaging guidance for the forecasters at the National Weather Service offices and elsewhere. In the first set of experiments, the assimilation and forecast results between the 4DVAR and the operational three-dimensional variational (3DVAR) data assimilation method are compared. The most striking difference is in the accumulated precipitation...