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.
Authors
- Pin-Fang Lin
- Wei‐Yu Chang (ORCID: https://orcid.org/0000-0003-3607-0775)
- Yu‐Chieng Liou (ORCID: https://orcid.org/0000-0002-8448-8554)
- Jui Le Loh (ORCID: https://orcid.org/0000-0001-6739-6263)
- Pao-Liang Chang
Institutions
- National Central University (TW)
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
Funders
- National Science and Technology Council
- Central Weather Bureau