Application of Multi-Source Fusion Real-Time Analysis Products in Weather Conferences in Qinghai Province

Abstract

This paper focuses on the application of multi-source integrated real-time analysis products in Qinghai Province's weather discussions. Due to Qinghai's high-altitude location, complex terrain, and sparse observation stations, traditional data struggle to meet user application and scientific research demands. Through a "three-tier optimization" system tailored to Qinghai's characteristics, the integration of diverse data types plays a pivotal role in monitoring plateau blizzards and cold waves, issuing severe convective weather warnings, and serving Lake Qinghai and eastern agricultural regions during discussions, thereby supporting precise decision-making. The paper also identifies current challenges such as data gaps and timeliness, proposing improvements like adding observation stations and optimizing algorithms to enhance meteorological ecosystem services in Qinghai.