Detection and Characterization of Polarimetric Radar Bright Band Signatures in Northern Taiwan

A dual-polarization measurement (DPM) profile simulation was developed and applied to four years of S-band polarimetric radar observations in northern Taiwan to obtain and investigate bright band (BB) features. The algorithm exploits the BB signatures from high elevation angles radar data (≥ 6◦) in cross-correlation coefficient (ρ<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">hv</i>), differential reflectivity (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Z<sub>dr</sub></i>), and reflectivity (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Z</i>) to obtain BB features such as intensity (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I</i>), thickness (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</i>), and peak height (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i>). A key advantage of the proposed algorithm is its ability to detect BB signatures both spatially across azimuthal directions and vertically across elevation angles over time, facilitating a composited optimal <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> map. Validation against radiosonde data indicates good agreement in estimated <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> values, with an averaged mean difference of ∼0.2 km. The algorithm effectively detects BB signatures in northern Taiwan, using DPMs as reliable indicators for ML identification, demonstrated in a cold front case study by capturing the transition <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> from 4 km to 2 km. Climatological trends in <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I</i> showed elevation angle dependence, while <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> remains largely independent of elevation angle. Seasonal trends indicate that <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> is highest in November and lowest in February and March, which corresponds with radiosonde data, while <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I</i> exhibit minimal seasonal variation.

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Publication Details

Journal
IEEE Transactions on Geoscience and Remote Sensing
Published
2025-01-01
DOI
https://doi.org/10.1109/tgrs.2025.3562378
Primary Topic
Geophysics and Gravity Measurements
Type
article
Field-Weighted Citation Impact
0.00

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article

Detection and Characterization of Polarimetric Radar Bright Band Signatures in Northern Taiwan

Pin-Fang Lin, Wei‐Yu Chang, Yu‐Chieng Liou, Jui Le Loh et al.
IEEE Transactions on Geoscience and Remote Sensing
Geophysics and Gravity Measurements
article

Detection and Characterization of Polarimetric Radar Bright Band Signatures in Northern Taiwan

Pin-Fang Lin, Wei‐Yu Chang, Yu‐Chieng Liou, Jui Le Loh, Pao-Liang Chang
article en

Abstract

A dual-polarization measurement (DPM) profile simulation was developed and applied to four years of S-band polarimetric radar observations in northern Taiwan to obtain and investigate bright band (BB) features. The algorithm exploits the BB signatures from high elevation angles radar data (≥ 6◦) in cross-correlation coefficient (ρ<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">hv</i>), differential reflectivity (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Z<sub>dr</sub></i>), and reflectivity (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Z</i>) to obtain BB features such as intensity (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I</i>), thickness (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</i>), and peak height (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i>). A key advantage of the proposed algorithm is its ability to detect BB signatures both spatially across azimuthal directions and vertically across elevation angles over time, facilitating a composited optimal <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> map. Validation against radiosonde data indicates good agreement in estimated <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> values, with an averaged mean difference of ∼0.2 km. The algorithm effectively detects BB signatures in northern Taiwan, using DPMs as reliable indicators for ML identification, demonstrated in a cold front case study by capturing the transition <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> from 4 km to 2 km. Climatological trends in <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I</i> showed elevation angle dependence, while <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> remains largely independent of elevation angle. Seasonal trends indicate that <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> is highest in November and lowest in February and March, which corresponds with radiosonde data, while <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I</i> exhibit minimal seasonal variation.

IEEE Transactions on Geoscience and Remote SensingVol. 63
National Central University (TW)
National Science and Technology Council, Central Weather Bureau
Openalex Percentile: Top 90%
Geophysics and Gravity Measurements
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