Mesoscale heterogeneity in the intensive optical properties of long-range transported Shinmoedake-related volcanic aerosol observed with dual-site polarization Raman-Mie lidars
Description
**Dual-site polarization Raman–Mie lidar optical products for Shinmoedake-related transported aerosol over Anqing and Shouxian, eastern China, 7 July 2025** This dataset contains processed time–height aerosol optical products retrieved from two same-design multiwavelength polarization Raman–Mie lidars operated at Anqing (30.6231° N, 116.9672° E) and Shouxian (32.4347° N, 116.7955° E), Anhui Province, eastern China, on 7 July 2025. The observations were used in the associated study of mesoscale differences in the optical properties of long-range transported aerosol within a common Shinmoedake-related regional source–transport episode. The dataset is provided as two Excel workbooks, `Anqing.xlsx` and `Shouxian.xlsx`. Each workbook contains 12 time–height data sheets, including particle depolarization ratio (PDR), aerosol backscatter coefficient, aerosol extinction coefficient, lidar ratio at 355 and 532 nm, backscatter and extinction Ångström exponents, the wavelength ratio of lidar ratio, and the wavelength ratio of PDR. The effective temporal and vertical resolutions are 10 min and 30 m, respectively. Times are reported in UTC, heights are stored in metres in the column headers, and blank cells represent unavailable or filtered retrievals. The Excel files cover broader time–height windows than the elevated-aerosol event masks used in the paper. The event identified in the manuscript spans approximately 11:55–20:15 UTC and 1.44–3.39 km at Anqing, and 16:05–21:15 UTC and 2.04–2.97 km at Shouxian. The strictly matched inter-site comparison uses 26 paired 10 min profiles from 16:05–20:15 UTC within the common 2.036–2.966 km altitude interval. These files contain processed lidar optical products rather than raw lidar signals. Users should refer to the associated paper for instrument configuration, retrieval procedures, quality assurance, event segmentation, source-attribution evidence, and interpretation.