Research on Wind Energy Data Quality Control Methods in Qinghai Province on the Qinghai-Tibet Plateau (2019–2021)

Abstract

This paper presents the construction methodology and quality assessment results of the “Qinghai-Xizang Plateau Multi-source Integrated Wind Energy Basic Dataset (V1.0)”. Addressing the challenges in wind energy resource assessment over the complex terrain of the Qinghai-Xizang Plateau, this study establishes a comprehensive data quality control system. The dataset spans from 2019 to 2021 and integrates observations from 12 meteorological towers and 53 national-level weather stations across Qinghai Province, along with multi-source fused analysis products at a spatial resolution of 5 kilometers. A tiered quality control process is applied, including range checks, temporal consistency checks, and vertical consistency checks. Additionally, dynamic threshold adjustment rules are designed based on historical climate extremes, and a multi-factor correlation logic incorporating temperature-humidity coupling is introduced, leading to an innovative algorithm for wind tower data quality control that significantly improves data quality in high-altitude regions of Qinghai Province. Assessment results show that the overall accuracy of the data after quality control reaches 93.28%, substantially higher than the national average. This dataset provides solid foundational support for wind energy resource evaluation, climate research, and low-carbon transition efforts in northwestern China, and demonstrates the effectiveness of multi-source data fusion techniques in enhancing the accuracy of meteorological observations in high-altitude areas.