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

庞冉; 王文; 武晶; 余志明

doi:10.13870/j.cnki.stbcxb.2023.01.024

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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

更新时间：2025-03-12

- 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
- Spatial-temporal Variation of Precipitation in Fujian Province Based on Spatial Interpolated Gridded Daily Precipitation Data
- 水土保持学报 2023年37卷第1期页码：176-187
- 作者机构：
  
  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
- 作者简介：
  
  [ "庞冉(1996-),女,硕士,助理工程师,主要从事水文研究。E-mail:pangran_hhu@163.com" ]
- 基金信息：
  
  国家自然科学基金项目(41961134003)
- DOI：10.13870/j.cnki.stbcxb.2023.01.024
  中图分类号： P339
- 纸质出版：2023
- 稿件说明：
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庞冉, 王文, 武晶, 等. 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.

PANG Ran, WANG Wen, WU Jing, et al. Spatial-temporal Variation of Precipitation in Fujian Province Based on Spatial Interpolated Gridded Daily Precipitation Data[J]. 2023, 37(1): 176-187.
庞冉, 王文, 武晶, 等. 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. DOI： 10.13870/j.cnki.stbcxb.2023.01.024.

PANG Ran, WANG Wen, WU Jing, et al. Spatial-temporal Variation of Precipitation in Fujian Province Based on Spatial Interpolated Gridded Daily Precipitation Data[J]. 2023, 37(1): 176-187. DOI： 10.13870/j.cnki.stbcxb.2023.01.024.

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。

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.

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