Improving the Accuracy of Rainfall Records in the UK through the Development of a Comprehensive Undercatch Correction Methodology

通过开发综合性捕捞不足修正方法提高英国降雨记录的准确性

• 批准号: 2749540
• 金额: --
• 依托单位: Newcastle University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2749540
• 关键词: Improving; Accuracy; Rainfall; Records; UK

This project seeks to investigate the influence of rainfall characteristics and environmental conditions on undercatch extent in the context of the UK. Firstly, a comparative analysis of a hydrological model's sensitivity to both the spatial distribution of rainfall and the undercatch phenomenon will be explored. This analysis will incorporate radar and point gauge data. Secondly, the intricate relationship between rainfall characteristics, environmental conditions, and undercatch extent will be determined through a combination of laboratory experiments, fieldwork studies and data analysis. The spatiotemporal sensitivity of this relationship will be assessed by comparing data gathered over an extended observation period and from diverse range of locations. Subsequently, the findings of the proceeding studies will be combined to develop a robust undercatch correction methodology for historic rainfall data. Finally, the impact of undercatch correction on various applications will be assessed by comparing the outputs generated by original and modified datasets. Overall, this research seeks to advance our understanding of the undercatch phenomena, thereby improving the accuracy of historic rainfall records and the hydrological studies derived from them.

该项目旨在调查英国降雨特征和环境条件对捕捞不足程度的影响。首先，将探讨水文模型对降雨空间分布和下捕现象的敏感性的比较分析。这种分析将包括雷达和点测量数据。其次，将通过实验室实验、实地研究和数据分析相结合，确定降雨特征、环境条件和捕捞不足程度之间的复杂关系。将通过比较在较长的观测期内从不同地点收集的数据来评估这种关系的时空敏感性。随后，将结合先前研究的结果，为历史降雨量数据制定一个强有力的捕捞不足校正方法。最后，将通过比较原始数据集和修改后的数据集产生的输出，评估捕捞不足校正对各种应用的影响。总的来说，这项研究旨在促进我们对捕捞不足现象的理解，从而提高历史降雨量记录的准确性和从中得出的水文研究。