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Atmosphere 2018, 9(9), 349; https://doi.org/10.3390/atmos9090349

Analysis and Estimation of Geographical and Topographic Influencing Factors for Precipitation Distribution over Complex Terrains: A Case of the Northeast Slope of the Qinghai–Tibet Plateau

1,2
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1,3,4,* , 2,* , 2
and
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1
College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
2
Lanzhou Central Meteorological Observatory, Lanzhou 730020, China
3
Key Laboratory of Arid Climatic Change and Disaster Reduction of Gansu Province/China Meteorological Administrator, Lanzhou 730020, China
4
Institute of Arid Meteorology, China Meteorological Administrator, Lanzhou 730020, China
*
Authors to whom correspondence should be addressed.
Received: 31 May 2018 / Revised: 6 August 2018 / Accepted: 8 August 2018 / Published: 7 September 2018
(This article belongs to the Section Climatology and Meteorology)
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Abstract

Due to the complex terrain, sparse precipitation observation sites, and uneven distribution of precipitation in the northeastern slope of the Qinghai–Tibet Plateau, it is necessary to establish a precipitation estimation method with strong applicability. In this study, the precipitation observation data from meteorological stations in the northeast slope of the Qinghai–Tibet Plateau and 11 geographical and topographic factors related to precipitation distribution were used to analyze the main factors affecting precipitation distribution. Based on the above, a multivariate linear regression precipitation estimation model was established. The results revealed that precipitation is negatively related to latitude and elevation, but positively related to longitude and slope for stations with an elevation below 1700 m. Meanwhile, precipitation shows positive correlations with both latitude and longitude, and negative correlations with elevation for stations with elevations above 1700 m. The established multivariate regression precipitation estimating model performs better at estimating the mean annual precipitation in autumn, summer, and spring, and is less accurate in winter. In contrast, the multivariate regression mode combined with the residual error correction method can effectively improve the precipitation forecast ability. The model is applicable to the unique natural geographical features of the northeast slope of the Qinghai–Tibet Plateau. The research results are of great significance for analyzing the temporal and spatial distribution pattern of precipitation in complex terrain areas. View Full-Text
Keywords: complex terrains; geographical and topographical factors; precipitation estimation; Northeast Slope of Qinghai–Tibet Plateau; multivariate regression; residual error correction complex terrains; geographical and topographical factors; precipitation estimation; Northeast Slope of Qinghai–Tibet Plateau; multivariate regression; residual error correction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Liu, W.; Zhang, Q.; Fu, Z.; Chen, X.; Li, H. Analysis and Estimation of Geographical and Topographic Influencing Factors for Precipitation Distribution over Complex Terrains: A Case of the Northeast Slope of the Qinghai–Tibet Plateau. Atmosphere 2018, 9, 349.

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