Particle Size Estimation in Ice-Phase Clouds Using Multifrequency Radar Reflectivity Measurements at 95, 33, and 2.8 GHz
| Autor: | John M. Firda, Warner L. Ecklund, Kenneth S. Gage, Robert E. McIntosh, Stephen M. Sekelsky |
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| Rok vydání: | 1999 |
| Předmět: | |
| Zdroj: | Journal of Applied Meteorology. 38:5-28 |
| ISSN: | 1520-0450 0894-8763 |
| DOI: | 10.1175/1520-0450(1999)038<0005:pseiip>2.0.co;2 |
| Popis: | Multifrequency radar measurements collected at 2.8 (S band), 33.12 (Ka band), and 94.92 GHz (W band) are processed using a neural network to estimate median particle size and peak number concentration in ice-phase clouds composed of dry crystals or aggregates. The model data used to train the neural network assume a gamma particle size distribution function and a size–density relationship having decreasing density with size. Results for the available frequency combinations show sensitivity to particle size for distributions with median volume diameters greater than approximately 0.2 mm. Measurements are presented from the Maritime Continent Thunderstorm Experiment, which was held near Darwin, Australia, during November and December 1995. The University of Massachusetts—Amherst 33.12/94.92-GHz Cloud Profiling Radar System, the NOAA 2.8-GHz profiler, and other sensors were clustered near the village of Garden Point, Melville Island, where numerous convective storms were observed. Attenuation losses... |
| Databáze: | OpenAIRE |
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