Attenuation correction over ocean for the HIWRAP dual-frequency airborne scatterometer

被引:0
|
作者
Meneghini, Robert [1 ]
Liao, L. [2 ]
Heymsfield, G.M. [1 ]
机构
[1] NASA Goddard Space Flight Center, Greenbelt,MD, United States
[2] Goddard Earth Science Technology and Research, Morgan State University, Baltimore,MD, United States
来源
基金
美国国家航空航天局;
关键词
Meteorological instruments - Reflection - Wind - Radar measurement - Kurchatovium - Radar cross section;
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学科分类号
摘要
An important objective in scatterometry is the estimation of near-surface wind speed and direction in the presence of rain. We investigate an attenuation correction method using data from the High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) dual-frequency scatterometer, which operates at Ku and Ka band with dual conical scans at incidence angles of 30° and 40°. The method relies on the fact that the differential normalized surface cross section, δσ0 5 σ0 (Ka) 2 σ0 (Ku), is relatively insensitive to wind speed and direction and that this quantity is closely related to the magnitude of the differential path attenuation, δA 5 A(Ka) 2 A(Ku), arising from precipitation, cloud, and atmospheric gases. As the method relies only on the difference between quantities measured in the presence and absence of rain, the estimates are independent of radar calibration error. As a test of the method’s accuracy, we make use of the fact that the radar rain reflectivities just above the surface, as seen along different incidence angles, are approximately the same. This yields constraint equations in the form of differences between pairs of path attenuations along different lines of sight to the surface. A second validation method uses the dual-frequency radar returns from the rain just above the surface where it can be shown that the difference between the Ku-and Ka-band-measured radar reflectivity factors provide an estimate of differential path attenuation. Comparisons between the path attenuations derived from the normalized surface cross section and those from these surface-independent methods generally show good agreement. © 2019 American Meteorological Society.
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页码:2015 / 2030
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