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

Abstract

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

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.

Figures/Tables 3

References 34

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

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