【摘要】 气象数据是区域气候特征描述的重要基础资料,开展局地长期气象观测对提升区域气象预报准确度和防灾减灾能力、认知与应对气候变化等意义深远。气象因子是中国生态系统研究网络(Chinese Ecosystem Research Network, CERN)各定位站野外观测的重要要素之一。中国科学院鼎湖山森林生态系统定位研究站(简称"鼎湖山站")位于我国广东的南亚热带北缘,属典型湿润季风型气候,水热资源丰富。基于站内气象观测场,依据CERN大气环境观测规范,开展了局地关键气象要素的长期定位观测与数据质量控制。本数据集详实、系统地报道了鼎湖山站气象观测场2005–2018年VISILA自动观测系统监测数据,以期为区域国民经济相关行业尤其是农、林、水利等领域研究与生产提供数据支撑。更多还原

【Abstract】 Meteorological data are an important basis for the description of regional climate characteristics. Long-term meteorological observation has a profound effect on the improvement of meteorological forecast, the capability of preventing and mitigating weather-related disasters, and the awareness of and response to climate change. Meteorological factor is one of the important elements for field observation at all stations of the Chinese Ecosystem Research Network(CERN). Dinghushan Forest Ecosystem Research Station(hereafter referred to as Dinghushan Station) is located in the north margin of south subtropical zone of Guangdong Province, a typical subtropical monsoon climate with abundant water and heat resources. Based on the meteorological observation field and in line with the atmospheric environment observation standard of CERN, we carried out the long-term observation and data quality control of key meteorological elements at the station. This dataset offers a detailed and systematic report on the monitoring data of VISILA automatic observation system in the meteorological observation field of Dinghushan Station from 2005 to 2018. It is aimed to provide data support for the research and production of relevant industries of regional national economy, especially agriculture, forestry, water conservancy and other fields.更多还原