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The Effect of Using Digital Satellite Imagery In The LAPS Moisture Analysis


The Local Analysis and Prediction System (LAPS) analyzes three-dimensional moisture as one component of its system. This paper describes the positive impact that simple 8-bit, remapped, routinely available imagery have on the LAPS moisture analysis above 500 hPa. A variational method adjusts the LAPS moisture analysis by minimizing differences between forward model-computed radiances and radiances from Advanced weather interactive Processing System (AWIPS) image-grade data from Geostationary Operational Environmental Satellite 8 (GOES-8). The three infrared channels used in the analysis will be routinely available to AWIPS workstations every 15 min. This technique improves LAPS upper-level dewpoint, reducing dewpoint temperature bias and root-mean-square error on the order of 0.5 and 1.5 K, respectively, as compared to Denver radiosonde observation data. Furthermore, it strongly exemplifies the objective analysis benefit of image-grade data, in addition to its well-known subjective utility.

Article / Publication Data
Available Metadata
Accepted On
February 11, 1999
Fiscal Year
Publication Name
Weather and Forecasting
Published On
February 11, 1999
Publisher Name
Amer Meteorological Soc
Print Volume
Print Number
Submitted On
August 14, 1998


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