开发山脊整体标准化干旱指数 (RESDI) 以改进干旱特征和未来评估
Mahrukh Yousaf1, Abdul Baseer1, Zulfiqar Ali2
1College of Statistical Sciences, University of the Punjab, Lahore, Pakistan.
Environmental monitoring and assessment
|June 13, 2024
概括
一个新的干旱指数 - - Ridge Ensemble标准化干旱指数 (RESDI) - - 减少了干旱评估中的不确定性. 该指数使用一种新的加权方案,预测所有气候情景中正常干旱条件最频繁地发生.
科学领域:
- 气候科学 气候科学
- 环境科学 环境科学
- 统计建模 统计建模
背景情况:
- 全球变暖加剧了极端气候事件,长期的干旱严重破坏了生态系统.
- 准确的干旱评估对于减轻环境影响至关重要.
- 基于合模型相互比较项目第6阶段 (CMIP6) 的现有干旱指数全球气候模型 (GCMs) 由于整体方法的统计不确定性而存在局限性.
研究的目的:
- 开发一种新的干旱指数,以减少干旱评估中的不确定性.
- 引入创新的整体方法,山脊参数和基于距离的权重 (RDW) 方案.
- 在各种气候变化场景下预测未来的干旱特性.
主要方法:
- 使用山脊参数和基于距离的权重 (RDW) 方案开发了山脊整体标准化干旱指数 (RESDI),整合了山脊回归和基于分歧的方法.
- 使用RDW方案组合了18个CMIP6 GCM,并将其性能与简单模型平均 (SMA) 和贝叶斯模型平均 (BMA) 方案进行了比较.
- 根据共享社会经济路径 (SSP) 场景 (SSP1-2.6,SSP2-4.5,SSP5-8.5) 在多个时间尺度下预测的干旱特性,通过K-组件高斯混合模型 (K-CGMM) 标准化预测.
主要成果:
- 在32个西藏高原地点,RDW方案显示了较低的平均绝对误差 (MAE) 和根平均平方误差 (RMSE) 与SMA和BMA相比.
- 开发的RESDI被用来在不同的SSP和时间尺度下预测干旱特征.
- 使用稳定状态概率的分析表明",正常干旱 (ND) "是所有情景和时间尺度中最可能发生的干旱情况.
结论:
- 拟议的RESDI,利用RDW整体方案,为干旱评估和预测提供了一个更准确,更少不确定性的方法.
- 这些发现强调了在各种未来气候变化情景下,正常干旱状况持续存在的可能性很高.
- 这项研究为干旱风险管理和气候变化中的适应策略提供了宝贵的见解.
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