评估对极端气候评估d4PDF数据的后处理技术的必要性
Luksanaree Maneechot1,2, Yong Jie Wong3,4, Sophal Try5
1Climate Action for Sustainability Office, Sustainability Engineering, Department of Corporate Engineering, Charoen Pokphand Foods PCL, Bangkok, Thailand.
Environmental science and pollution research international
|September 5, 2023
概括
后处理气候模型改善了泰国极端降雨预测. 这项研究通过纠正d4PDF模型对普拉亚河流域的偏差来增强未来的气候变化影响评估.
科学领域:
- 气候科学 气候科学
- 水文学的水文学
- 环境建模环境建模
背景情况:
- 全球极端降雨事件的频率和严重程度正在增加.
- 现有的气候模型通常具有粗略的分辨率,导致气候变化评估中的重大偏差错误.
- 精确模拟极端气候洪水事件对于政策决策至关重要.
研究的目的:
- 在d4PDF模型数据库上采用后处理技术 (插值和偏差校正).
- 在未来的气候情景下 (+4K) 提高超普拉雅河流域极端气候洪水事件的模拟准确性.
- 提高气候变化影响评估的可靠性.
主要方法:
- 应用的梯度加上逆距离平方插值,由于雨量表有限.
- 用月度和季节期调整偏差校正方法.
- 使用的马分布与泛化的帕雷托分布相结合,用于雨季偏差校正,以及干旱季的马分布.
主要成果:
- 拟议的后处理方法有效模拟了极端降雨事件,延长了干旱时期,并在雨季加剧了降雨.
- 经过后处理的d4PDF趋势显示,每年降雨量在不同海面温度模式和组合成员之间存在显著差异.
- 记录的最高年降雨量为4,450毫米/年 (南河),最低降雨量为710毫米/年 (朝河下游流域).
结论:
- 后处理技术对于提高气候模型输出的准确性和稳定性至关重要,特别是d4PDF模型.
- 这项研究强调了未来气候变化影响研究中需要进一步调查群体之间的降雨模式差异.
- 这些发现为在河流盆地进行更可靠的气候变化影响评估提供了新的见解.
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