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30年 (1991-2021) 位于意大利波河区的雪水等价数据集
Matteo Dall'Amico1, Stefano Tasin1, Federico Di Paolo1
1Waterjade Srl, Pergine Valsugana Trento, Italy.
Scientific data
|March 4, 2025
概括
这项研究提供了一个高分辨率的雪水等效数据集,用于意大利的河区从1991-2021年. 使用混合建模方法生成的数据准确地模拟了雪深和雪线,这对于水资源管理至关重要.
科学领域:
- 水文学的水文学
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
背景情况:
- 准确的雪水等值 (SWE) 数据对于山区的水文建模和水资源管理至关重要.
- 长期,高分辨率的数据集往往缺乏,阻碍了对雪动态的全面分析.
- 波河区,包括阿尔卑斯山和阿佩宁山,经历了大量的降雪影响水的可用性.
研究的目的:
- 为河区生成和验证一个长期的,高分辨率的雪水等效 (SWE) 数据集.
- 通过数据同化,提高水文模型估计的质量.
- 为了解意大利阿尔卑斯山和阿宁山的雪地覆盖动态提供可靠的数据集.
主要方法:
- 采用混合建模方法,整合基于物理的GEOtop水文模型.
- 预处理的气象数据和同化现场的雪量测.
- 综合地球观测 (EO) 雪产品,以提高模型的准确性.
- 使用点验证和2D验证与卫星数据进行严格的质量评估.
主要成果:
- 从1991年到2021年以500米的空间分辨率生成每日SWE数据集.
- 点验证证明了正常和高雪深条件的准确模拟.
- 2D验证证实了雪地覆盖的精确空间和时间模拟,包括雪线动态.
结论:
- 开发的SWE数据集是Po河区水文研究的可靠资源.
- 混合建模方法有效地提高了雪地覆盖率估计的准确性.
- 这一数据集支持改善该地区的水资源管理和气候变化影响评估.
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