Chinese Journal of Agrometeorology ›› 2026, Vol. 47 ›› Issue (1): 3-8.doi: 10.3969/j.issn.1000-6362.2026.01.001

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High-standard Farmland Meteorological Service Demand and Service Capacity Improvement Approach

YANG Fei-yun, ZHA Fei-na, DONG Wan-lin, GUO Kang-jun, LI Meng-xia, WU Lu   

  1. 1.China Meteorological Administration Training Centre, Beijing 100081, China; 2. Henan Meteorological Service, Zhengzhou 450003; 3.Henan Institute of Meteorological Sciences, Zhengzhou 450003
  • Received:2025-01-26 Online:2026-01-20 Published:2026-01-16

Abstract:

The agricultural meteorological service is the largest and most complete professional meteorological service in China's meteorological industry, and plays an important role in meteorological support of agricultural production. To promote the development of large−scale planting in China's agricultural production As China's agricultural production transitions towards large−scale farming, the constructionof high−standard farmland and its rapid developmentthe continuous advancement and rapid development of high−standard farmland construction. This study proposed a path to improve the meteorological guarantee capacity of high−standard farmland through field investigations and sorting out existing service products, analyzing the needs of high−standard farmland meteorological guarantee services, and combining the current supply−side service status analysis, in order to provide a reference for improving the effectiveness of meteorological guarantee services for high standard farmland construction. The results showed that some provinces (autonomous regions and municipalities) meteorological departments had laid out automated meteorological observation equipment of multiple types such as farmland microclimate and automatic soil moisture, and had initially built an agricultural meteorological automatic observation station website on high standard farmland plots. Some meteorological service products for high−standard farmland had been formed. There were still some problems with the meteorological support services for high−standard farmland, such as the lack of systematic planning for the layout of meteorological observation stations, inconsistency of data collection standards, the failure of service products to meet the refined needs, and the imperfect data management mechanisms. In light of this, it is recommended to strengthen top−level design, enhance data value, focus on technological innovation and implement socialized services to improve the meteorological support service capacity for high−standard farmland.

Key words: High?standard farmland, Meteorological services, Socialized services, Data value