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美国宇航局地球交易所缩小气候预测30弧秒CMIP6 CMIP6
Bridget Thrasher1, Sepideh Khajehei2, John B Kim3
1Climate Analytics Group, Dayton, VA, 22821, USA. bridget@climateanalyticsgroup.org.
Scientific data
|December 18, 2024
概括
美国宇航局地球交换机缩小气候预测 (NEX-DCP30-CMIP6) 档案提供高分辨率的气候数据. 这一数据集为美国提供了关键的缩小规模的历史和未来气候预测.
科学领域:
- 气候科学 气候科学
- 地球系统科学 地球系统科学
- 环境建模环境建模
背景情况:
- 气候模型相互比较项目 (CMIP) 对于理解未来气候场景至关重要.
- 缩小规模的气候预测提供了更高的空间分辨率,这对于区域影响研究至关重要.
- 美国宇航局的地球交换 (NEX) 计划提供了宝贵的气候数据资源.
研究的目的:
- 为了介绍最新版本的NASA地球交换缩小气候预测 (NEX-DCP30-CMIP6) 档案.
- 以30弧秒的分辨率提供对缩小的历史和未来气候预测的访问.
- 为了支持气候变化研究和影响评估在美国.
主要方法:
- 使用每月偏差校正/空间分类 (BCSD) 方法的每日变体.
- 从参与CMIP6的30个全球气候模型中缩小规模的气候数据.
- 为历史 (1950-2100) 和未来气候场景 (SSP1.2-6,SSP2.4-5,SSP3.7-0,SSP5.8-5) 处理的数据.
主要成果:
- NEX-DCP30-CMIP6档案中包含了最大温度,最小温度,降水和蒸汽压力的下调预测.
- 数据以30秒的水平分辨率可用,覆盖边界的美国.
- 预测范围从1950年到2100年,包括多个共享社会经济路径 (SSP).
结论:
- NEX-DCP30-CMIP6数据集为在精细的空间尺度上研究气候变化影响提供了宝贵的资源.
- 多种气候模型和场景的可用性提高了气候变化影响评估的稳定性.
- 这些高分辨率数据支持对气候适应和减缓战略的知情决策.
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