大数据2026，Vol.12Issue(5)：80-96,17.DOI:10.11959/j.issn.2096-0271.BDR26159
面向人工影响天气的机载多源微物理数据集构建与泄露控制评估
Construction and leakage-controlled evaluation of an airborne multi-source microphysical dataset for weather modification
摘要
Abstract
To address the challenges of diverse airborne data types,difficulties in precise probe alignment,and high data leakage risks during data splitting in weather modification aircraft operations,a multi-source microphysical benchmark dataset oriented toward data governance and leakage-controlled evaluation was constructed.Through methods including dirty data rejection,adaptive parsing of multi-character encodings,1 Hz fusion anchored by the DXAS probe,and non-negative physical ice thickness generation,airborne data from 43 flights were transformed into a high-quality fused table containing 336 570 samples.Furthermore,a strict nested leave-one-session-out(LOSO)cross-validation protocol was established to block event-level leakage.Benchmark testing using the XGBoost algorithm verified the validity of icing onset signals in the airborne data and established a baseline for regression tasks under leakage control.This dataset provides a standardized data foundation for aircraft icing mechanism analysis and early-warning algorithm development,offering a rigorous evaluation reference for enhancing risk monitoring and ensuring flight safety.关键词
人工影响天气/机载数据集/数据集构建/数据治理/秒级对齐/泄露控制Key words
weather modification/airborne dataset/dataset construction/data governance/second-level alignment/leakage control分类
信息技术与安全科学引用本文复制引用
付佳,陈英英,李德俊,陈旭,刘睿..面向人工影响天气的机载多源微物理数据集构建与泄露控制评估[J].大数据,2026,12(5):80-96,17.基金项目
湖北省自然科学基金项目(No.2025AFD414) （No.2025AFD414）
中国气象局创新发展专项(No.CXFZ2024J028) （No.CXFZ2024J028）
中国气象局创新发展专项(No.CXFZ2025J038) The Natural Science Foundation of Hubei Province(No.2025AFD414),The Innovation and Development Project of China Meteorological Administration(No.CXFZ2024J028),The Innovation and Development Project of China Meteorological Administration(No.CXFZ2025J038) （No.CXFZ2025J038）
