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HiCPC:一个新的10公里CMIP6缩小了对中国的每日气候预测

Huihui Yuan¹, Like Ning¹, Jiewei Zhou¹

¹Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China.

Scientific data

|October 25, 2024

概括

本研究介绍了HiCPC,这是中国的新型高分辨率气候数据集. HiCPC提供了改进的每日温度和降水数据,对于气候变化影响评估至关重要.

科学领域:

环境科学环境科学
气候科学气候科学
数据科学数据科学数据科学

背景情况:

准确的气候预测对于环境科学和影响评估至关重要.
现有的全球气候模型 (GCM) 在日常模拟中经常存在偏差.
需要针对中国等特定地区量身定制的缩小规模气候数据.

研究的目的:

介绍HiCPC (高分辨率CMIP6缩小规模的中国每日气候预测),这是中国的新型气候数据集.
为历史和未来时期提供高分辨率的每日降水和温度数据.
支持中国的气候变化研究和影响评估.

主要方法:

从22个合模型相互比较项目的第6阶段 (CMIP6) 全球气候模型 (GCM) 的利用结果.
采用先进的偏差校正和空间分类 (BCSD) 方法.
使用中国气象强制数据集 (CMFD) 作为偏差纠正和分类的参考.

主要成果:

为中国开发了具有增强空间分辨率 (0.1° × 0.1°) 的HiCPC数据集.
提供了历史时期 (1979-2014) 和未来预测 (2015-2100) 的每日降水和温度数据.
包括四个共享社会经济路径 (SSP) 场景 (SSP1-2.6,SSP2-4.5,SSP3-7.0,SSP5-8.5) 的预测.

结论:

与历史时期的原始CMIP6 GCM相比,HiCPC数据集显示出更高的性能.
该数据集是中国气候变化影响研究的宝贵资源.
HiCPC提高了对气候变化对中国环境管理的影响的理解.

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