地中海生物气候数据集 (2005-2099) 的缩小规模和偏差校正
Marco Fianchini1,2,3, Cosimo Solidoro1, Donata Canu1
1National Institute of Oceanography and Applied Geophysics - OGS, Via Beirut 2, 34151 Trieste - Trst, Italy.
Data in brief
|September 18, 2024
概括
这一数据集提供了2005-2099年地中海的年度海洋学数据,在高排放场景下预测未来的气候变化影响. 它包括对海洋生态系统研究至关重要的关键物理和生物地球化学变量.
科学领域:
- 海洋学 海洋学 海洋学
- 海洋生态海洋生态学
- 气候建模气候模型
背景情况:
- 地中海面临着气候变化和人类活动带来的重大环境压力.
- 对未来海洋状况的准确预测对于海洋生态系统管理和保护工作至关重要.
研究的目的:
- 为地中海的主要物理和生物地球化学变量提供预测年度统计描述符的综合数据集.
- 通过提供缩小规模和偏差纠正的气候预测数据来支持生态和环境建模应用.
主要方法:
- 使用合模型相互比较项目第5阶段 (CMIP5) 与代表度路径8.5 (RCP8.5) 高排放场景.
- 采用OGSTM-BFM和MFS16海洋模型进行初始预测,然后缩小到1/24度分辨率.
- 应用了使用CMEMS再分析数据 (2005-2020) 的量子三角映射偏差校正.
主要成果:
- 对于温度,盐度,pH,营养素,溶解无机碳,氧气和初级净产量等变量,生成年度统计描述符 (平均值,min,max,范围,std dev).
- 数据涵盖了2005年至2099年的地中海,空间分辨率约为4平方公里.
- 预测可用于表面和浴度等级.
结论:
- 该数据集为了解地中海物理和生物地球化学环境未来可能发生的变化提供了宝贵的资源.
- 可访问的数据格式促进了海洋科学,气候影响评估和政策制定中的多种应用.
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