-history of past HF-radar observations (past 48 hours) and an optional forecast of surface winds. Our model used empirical orthogonal functions (EOFs) to capture spatial correlations in the HF-radar data and used a linear autoregression model to predict the temporal dynamics of the EOF coefficients. We tested

and radar observations

INTRODUCTION Since 1991 a number of international satellites have collected microwave radar image data over Arctic and Antarctic sea ice. The recent successful launch of the ADEOS I satellite, with the NASA NSCAT instrument, also enables additional weather-independent global sea-ice radar data

and vertical spectral asymmetry associated with

already proven to be problem-atic for the meteorological community, because turbines can interfere with Doppler weather radar observations. The nationwide Weather Surveillance Radar-1988 Doppler (WSR-88D) network provides coverage to nearly the entire continental United States at the level of ~10,000 ft

Quantitative evaluation is necessary on the prediction of winter meteorological conditions especially when snowfall happens for disasters related to avalanche and blizzard depend on the

Analyses are made of the evolution of selected polarimetric radar data fields during periods immediately preceding the onset of near-surface hail indicators [high reflectivity and low differential reflectivity (Zdr)] in two nonsupercellular northeastern Colorado hailstorms. The primary data were

the polar mesopause region

data ind and less the aver slow (»5

Research supported by the