开发CMIP6气候变量全球月度数据集,用于估计蒸发透气
Young Hoon Song1, Eun-Sung Chung2, Shamsuddin Shahid3
1Department of Civil Engineering, Seoul National University of Science and Technology, Nowon-gu, 01811, Seoul, South Korea.
Scientific data
|August 26, 2023
概括
一个新的全球数据集使用气候模型和共享的社会经济途径 (SSP) 估计了未来的潜在蒸发转化 (PET). 这些数据通过改进PET预测,有助于在气候变化下可持续的水资源管理.
科学领域:
- 气候科学 气候科学
- 水文学的水文学
- 农业科学 农业科学
背景情况:
- 可持续的水资源管理对农业至关重要,尤其是在应对气候变化的情况下.
- 精确的蒸发转化 (ET) 预测对于水资源规划至关重要.
- 一般流通模型 (GCM) 和共享社会经济路径 (SSP) 是气候变化影响评估的关键工具.
研究的目的:
- 为了生成一个月度气候变量的全球数据集,以估计潜在的蒸发转化 (PET).
- 在四个SSP中使用14个GCM来提供未来的PET估计.
- 支持对GCM和偏差校正方法进行知情选择,用于PET估计.
主要方法:
- 创建了一个月度气候变量的全球数据集 (0.5° × 0.5°分辨率,19502100).
- 使用Penman-Monteith方法进行潜在的ET (PET) 估计.
- 数据集可适应各种PET估计技术.
主要成果:
- 生成的数据集反映了不同度的SSP场景中的温室气体度.
- 未来的PET预测显示与特定的SSP和GCM相关的变化.
- 该数据集可以分析PET的历史和未来趋势.
结论:
- 该数据集为选择适合PET估计的GCM提供了必要的信息.
- 它促进了偏差校正方法的确定,以提高准确性.
- 该资源支持在不断变化的气候条件下在农业中实施强有力的水资源管理战略.
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