罗宾:国际水文气候变化检测盆地参考观测站
S Turner1, J Hannaford2,3, L J Barker2
1UK Centre for Ecology & Hydrology, Wallingford, United Kingdom. stetur@ceh.ac.uk.
Scientific data
|April 18, 2025
概括
人类引起的气候变暖影响了水循环. 一个新的近乎自然流动的全球数据集 (国际水文气候变化检测盆地参考观测站 - ROBIN) 有助于确定气候驱动的适应趋势.
科学领域:
- 水文学 水文学
- 气候科学 气候科学
- 环境监测 环境监测
背景情况:
- 全球变暖正在改变水循环,需要适应策略.
- 了解对气候变化的水文反应对于适应至关重要.
- 观测到的流量数据对于气候模型至关重要,但常常被人类的影响所掩盖.
研究的目的:
- 建立一个近乎自然的流量数据的全球网络,以克服趋势识别方面的局限性.
- 为了能够更有信心地将溪流流动趋势归因于气候变化.
- 支持气候变化检测研究,并为国际气候政策提供信息.
主要方法:
- 为国际水文气候变化检测网络 (ROBIN) 开发流域参考观测站.
- 从国家参考水文网络 (RHNs) 编制流量数据,重点关注人类影响有限的水域.
- 创建可自由使用的全球RHN数据集和相关代码库.
主要成果:
- 建立一个全球的RHN数据集,包括3000多个水域.
- 提供代码库,以促进数据分析和科学努力.
- 为了解气候驱动的水文变化创造一个有价值的资源.
结论:
- 罗宾数据集为推进水文气候变化检测提供了坚实的基础.
- 从流量数据中删除人类影响,可以更清楚地识别气候驱动的趋势.
- 该资源将支持关键的适应战略和国际气候政策的制定.
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