Abstract
The development of efficient remote sensing tools, satellite and ground-based, calls for an integrated use of the newly available data and NWP techniques to produce very-short-range operational forecasts. The Local Analysis and Prediction System (LAPS) has been developed by NOAA-FSL as an integrated system to ingest and analyse meteorological data from different observational sources, i.e. mesonet and regular surface data, radar and profiler data, and satellite imagery. The resulting 3-D data-set contains all relevant meteorological parameters, that is temperature, pressure, humidity, wind, clouds, and other derived variables. Radar data play a key role in accurately describing the mesoscale wind pattern, when no others observational sources are available, particularly at low level where the correlation coefficient between radar analysis vs raob analysis grew at 0.99-0.95. The resulting fields are used in a continuous assimilation cycle with a limited area model for improving the forecast skill over a meso-β domain. The overall system is presented highlighting the impact of Doppler radar data in the reconstruction of missing features and comparing the different scenarios that can be foreseen.
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