Abstract
Experiments with a limited area model forecasting system have been carried out to show the importance of accurate lateral boundary conditions, also during data assimilation forecast cycles. Advection of observed information from data-dense areas to data-sparse areas is an important process in any data assimilation, and for limited area assimilation, this process should also work properly across the lateral boundaries. A case study including a rapid cyclogenesis in the vicinity of Iceland is used to illustrate the deterioration of forecast quality as a result of too old forecast boundaries during data assimilation. DOI: 10.1034/j.1600-0870.1990.00010.x

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