加拿大加热度日空间数据集加拿大加热度日空间数据集
Heather MacDonald1, John Pedlar1, Daniel W McKenney1
1Great Lakes Forestry Centre, Canadian Forest Service, Natural Resources Canada, P6A 2E5 1219 Queen Street East, Sault Ste. Marie, Ontario, Canada.
Data in brief
|August 14, 2023
概括
这项研究为加拿大提供了加热度日 (HDD) 的空间数据集,对于了解气候变化对能源需求的影响至关重要. 这些数据集涵盖了两个30年时期,为能源政策和气候适应战略提供了宝贵的见解.
科学领域:
- 气候学 气候学 气候学
- 环境科学 环境科学
- 能源研究 能源研究
背景情况:
- 升温度日 (HDD) 对于评估供暖能源需求和气候变化影响至关重要.
- 对HDD的准确空间数据对于能源和气候政策的知情决策至关重要.
- 以前的数据集可能缺乏当前气候变化评估所需的分辨率或时间覆盖.
研究的目的:
- 为加拿大提供新的加热度日 (HDD) 的空间数据集.
- 为分析气候趋势提供两个不同的30年期 (1951-1980年和1981-2010年) 的数据.
- 支持研究气候变化对供暖能源需求的影响.
主要方法:
- 利用来自多个加拿大站的每日温度计观测结果.
- 应用空间建模技术来生成网格化硬盘数据集.
- 包括满足特定数据完整性标准的站点 (≤9个缺失日/年,>9年的数据).
主要成果:
- 生成了加拿大的HDD空间数据集,分辨率约为2公里.
- 有两个30年期间的数据:1951-1980年 (1339个站点) 和1981-2010年 (1679个站点).
- 1951-1980年间空间模型的平均绝对误差为124.2 C-days (2.4%),而1981-2010年间的平均误差为137.6 C-days (2.7%).
结论:
- 提出的HDD数据集为加拿大的气候变化影响研究提供了宝贵的资源.
- 这些数据有助于了解供暖能源需求的区域差异.
- 这些高分辨率的空间数据集可以为能源效率措施和气候适应规划提供信息.
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