基于ANUSPLIN的黄土丘陵区气象要素插值方法对比与评估

doi:10.13866/j.azr.2023.10.04

干旱区研究 ›› 2023, Vol. 40 ›› Issue (10): 1575-1582.doi: 10.13866/j.azr.2023.10.04

基于ANUSPLIN的黄土丘陵区气象要素插值方法对比与评估

肖旭¹(),郑诚²,丁成琴³,范陈哲⁴,白悦江¹,林隆超¹,闫婷¹,高宇¹,史海静^3,⁵()

1.陕西省延安市气象局，陕西延安 716000
2.西北农林科技大学草业与草原学院，陕西杨凌 712100
3.西北农林科技大学水土保持研究所，陕西杨凌 712100
4.西北农林科技大学资源环境学院，陕西杨凌 712100
5.中国科学院水利部水土保持研究所，陕西杨凌 712100

收稿日期:2023-04-03 修回日期:2023-07-07 出版日期:2023-10-15 发布日期:2023-11-01
通讯作者: 史海静. E-mail: shihaijingcn@nwafu.edu.cn
作者简介:肖旭（1984-），男，气象服务工程师，主要研究方向为气象应用与服务. E-mail: 178331620@qq.com
基金资助:
西部青年学者项目(XAB2020YN04);国家自然科学基金项目(41501055);国家科技基础条件平台建设项目(2005DKA32300)

Comparative analysis of the temperatures and rainfall in loess hilly regions using the ANUSPLIN model

XIAO Xu¹(),ZHENG Cheng²,DING Chengqin³,FAN Chenzhe⁴,BAI Yuejiang¹,LIN Longchao¹,YAN Ting¹,GAO Yu¹,SHI Haijing^3,⁵()

1. Yan’an Meteorological Bureau, Yan’an 716000, Shaanxi, China
2. College of Grassland Agriculture, Northwest A & F University, Yangling 712100, Shaanxi, China
3. Institute of Soil and Water Conservation, Northwest A & F University, Yangling 712100, Shaanxi, China
4. College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China
5. Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling 712100, Shaanxi, China

Received:2023-04-03 Revised:2023-07-07 Online:2023-10-15 Published:2023-11-01

摘要/Abstract

摘要：

气象要素是反映地球水热过程的关键因子，气象数据的准确获取对生态保护和农业生产研究具有重要意义。黄土丘陵区是典型的丘陵沟壑区，地形严重影响气象要素的插值结果，制约了数据的准确性。为了获取黄土丘陵区的温度、降水的空间分布，探索地形变化对气象空间插值结果的影响，本研究基于专业气象插值软件ANUSPLIN以延河流域及周边2010—2021年105个气象站点逐日温度降雨资料为基础，引入25 m、90 m、1 km三个不同精度的数字高程模型作为协变量进行插值，从而获得黄土丘陵区温度降水栅格数据以揭示该地区降水的时空变化规律，评估ANUSPLIN插值方法是否能在黄土丘陵区较好的适用。结果表明：（1）延河流域东部延长地区温度较高、西部温度较低；降雨量空间插值显示中部与西北部较低，东部较高，温度降雨皆符合以往气象站数据规律，ANUSPLIN模型对黄土丘陵沟壑区温度降雨空间插值有较好的适应性。（2）在三种不同的分辨率DEM模拟场景下，温度插值精度排序为：25 m>90 m>1 km；降雨插值精度排序为：90 m>25 m>1 km。本研究的结果为丘陵区气象分布和插值提供了参考依据。

关键词: ANUSPLIN模型, 气候要素, 黄土丘陵区, 数字高程数据, 评估

Abstract:

Meteorological elements are the key factors used to assess the earth’s hydrothermal processes. Accurate acquisition of meteorological data is thus of great significance to the development of ecological protection systems and agricultural research. Loess hilly areas typically have hills and gullies, and consequently, the terrain seriously affects the interpolation of meteorological data and its accuracy. Based on the professional meteorological interpolation software ANUSPLIN, this study has used the daily temperature and rainfall data from 105 meteorological stations in and around the Yanhe River Basin from 2010 to 2021 as the basis, and three digital elevation models (DEM) with resolutions of 25 m, 90 m, and 1 km as covariables to interpolate the grid of temperature and precipitation in the loess hilly region. The spatiotemporal variation of precipitation was analyzed, and the applicability of the ANUSPLIN interpolation method in the loess hilly region evaluated. The results show that temperatures in the eastern extension area of the Yanhe River Basin were higher, when compared with those in the western area. The rainfall was lower in the central and northwestern regions when compared with the eastern regions. The distributions of temperature and rainfall were consistent with the laws of the previous meteorological station data. The ANUSPLIN model had a good adaptability to the spatial interpolation of temperature and rainfall in the loess hilly-gully region. In three different DEM resolution simulation scenarios, the accuracy of temperature interpolation was ranked as 25 m > 90 m > 1 km, and the rainfall interpolation accuracy was ranked as 90 m > 25 m > 1 km.

Key words: ANUSPLIN model, meteorological elements, loess hilly region, digital elevation data, evaluation

肖旭, 郑诚, 丁成琴, 范陈哲, 白悦江, 林隆超, 闫婷, 高宇, 史海静. 基于ANUSPLIN的黄土丘陵区气象要素插值方法对比与评估[J]. 干旱区研究, 2023, 40(10): 1575-1582.

XIAO Xu, ZHENG Cheng, DING Chengqin, FAN Chenzhe, BAI Yuejiang, LIN Longchao, YAN Ting, GAO Yu, SHI Haijing. Comparative analysis of the temperatures and rainfall in loess hilly regions using the ANUSPLIN model[J]. Arid Zone Research, 2023, 40(10): 1575-1582.

图/表 3

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基于ANUSPLIN的黄土丘陵区气象要素插值方法对比与评估

Comparative analysis of the temperatures and rainfall in loess hilly regions using the ANUSPLIN model

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