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基于空间插值逐日降水格点数据的福建省降水时空变化分析
引用本文:庞冉,王文,武晶,余志明.基于空间插值逐日降水格点数据的福建省降水时空变化分析[J].水土保持学报,2023,37(1):176-187,203.
作者姓名:庞冉  王文  武晶  余志明
作者单位:1. 河海大学水文水资源与水利工程科学国家重点实验室, 南京 210098;2. 中水淮河规划设计研究有限公司, 合肥 230601;3. 福建省水文水资源勘测局闽江河口水文实验站, 福州 350001
基金项目:国家自然科学基金项目(41961134003)
摘    要:构建可靠的高时空分辨率降水数据集,揭示全球变暖背景下的降水时空变化特征,对于水资源管理与水土流失预防与治理至关重要。利用组合空间插值方法,以福建省1979—2018年400余个站点观测逐日降水数据为原始数据源,得到研究区0.05°×0.05°高空间分辨率逐日降水格点数据集。以此数据集为基础,计算8个极端降水指数和3个降水集中程度指标,分析福建省降水时空变化特征。结果表明:提出的组合空间插值方法可以有效提高逐日降水插值精度,并且数据精度高于目前常用的再分析与卫星遥感降水数据产品;福建沿海地区、闽江下游1日最大降水量、5日最大降水量、强降水量、降水总量、降水强度5个极端降水指标有大面积显著上升趋势;全区域降水集中期以鹫峰山脉-闽江下游-戴云山脉一线为界,西北地区早于6月11日,东南地区则晚于6月11日,与福建省前后汛期时段基本相符;西北地区前汛期雨季有后推趋势,东南地区后汛期雨量有增多趋势。

关 键 词:逐日降水  空间插值  极端降水指数  降雨集中程度  气候变化
收稿时间:2022/6/22 0:00:00

Spatial-temporal Variation of Precipitation in Fujian Province Based on Spatial Interpolated Gridded Daily Precipitation Data
PANG Ran,WANG Wen,WU Jing,YU Zhiming.Spatial-temporal Variation of Precipitation in Fujian Province Based on Spatial Interpolated Gridded Daily Precipitation Data[J].Journal of Soil and Water Conservation,2023,37(1):176-187,203.
Authors:PANG Ran  WANG Wen  WU Jing  YU Zhiming
Institution:1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098;2. China Water Huaihe Planning, Design and Research Company Limited, Hefei 230601;3. Minjiang River Estuary Hydrological Experimental Station, Bureau of Hydrology and Water Resources of Fujian Province, Fuzhou 350001
Abstract:Constructing reliable precipitation datasets with high spatial and temporal resolution to reveal the temporal and spatial variation characteristics of precipitation in the context of global warming is crucial for water resources management and soil erosion prevention and governance. In this paper, a Combinedly Interpolated Precipitation (CIP) method was proposed. Using the daily precipitation data observed at more than 400 sites in Fujian Province from 1979 to 2018 as the data source, a 0.05°×0.05° high spatial resolution daily precipitation grid point dataset was produced in the study area. Based on this data set, eight extreme precipitation indices and three precipitation concentration indices were calculated, and the temporal and spatial variation characteristics of precipitation in Fujian Province were analyzed. The results showed that the CIP method proposed in this paper could effectively improve the accuracy of daily precipitation interpolation, and the data accuracy was far higher than that of the commonly used reanalysis and satellite remote sensing precipitation data products. The five extreme precipitation indicators of the maximum one-day precipitation, the maximum five-day precipitation, the heavy precipitation, the total precipitation and precipitation intensity in Fujian coastal areas and the lower reaches of the Minjiang River, had significant upward trend in a large area. The precipitation concentration period (PCP) in the whole region was bounded by the Jiufeng Mountains-the lower reaches of the Minjiang River-Daiyun Mountains strip, that was, PCP on the northwest side of the strip was before June 11, whereas the southeastern side was after June 11, which was basically consistent with the first rainy season in Fujian Province. The first rainy season in the northwest region had a backward trend, while the rainfall of the second rainy season in the southeast region had increasing trend.
Keywords:daily precipitation  spatial interpolation  extreme precipitation index  precipitation concentration  climatic change
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