A meteorological dataset observed by Dinghushan Forest Ecosystem Research Station (2005–2018)

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.