六年的高分辨率气候数据是在意大利阿尔卑斯山的海拔梯度上收集的
Alessandro Zandonai1, Veronika Fontana2, Johannes Klotz2
1Institute for Alpine Environment, Eurac Research, viale Druso 1, 39100, Bolzano, Italy. Alessandro.Zandonai@eurac.edu.
Scientific data
|July 10, 2024
概括
这项研究提供了来自意大利阿尔卑斯山的六年气候数据集,对于验证气候模型和了解山区生态系统非常有价值. 开放式数据支持对生态过程的研究,并为气候适应战略提供信息.
科学领域:
- 环境科学 环境科学
- 气候学 气候学 气候学
- 生态生态学 生态生态学
背景情况:
- 由于地形和生物因素,山区表现出复杂的气候异质性,这对气候建模具有挑战性.
- 有限的观测数据阻碍了对这些环境中各种规模的气候影响的准确预测.
研究的目的:
- 提出一个全面的六年 (2017-2022) 意大利阿尔卑斯山的气候数据集.
- 为验证区域气候模型提供有价值的数据,并支持山区环境中的生态研究.
主要方法:
- 在Val Mazia - Matschertal山谷的五个海拔高度 (983米至2705米) 收集的连续气候测量.
- 数据包括空气温度,湿度,风,太阳辐射,土壤特性,降水量和雪的高度.
- 测量是在欧洲长期生态研究 (LTER) 计划的一部分进行的.
主要成果:
- 一个六年时间序列数据集主要的气象和土壤变量现在可用.
- 数据捕捉了复杂的阿尔卑斯山山谷不同高度的气候变化.
结论:
- 免费可用的,开放访问的数据集对于验证气候和水文模型至关重要.
- 这些数据支持对高度驱动的生态过程的研究,并为山区社区和生物多样性的气候适应战略提供信息.
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