Abstract: Meteorological observation data serve as the basis of weather forecast and early warning, climate prediction as well as scientific research, which can be rated as the original force to promote the development of meteorological science. As a national long–term positioning research station, Hailun Agricultural Ecology Experimental Station, Chinese Academy of Sciences is part of China Ecosystem Research Network (CERN) and represents the farmland ecosystem in the black soil area of the Northeast China. The black soil area in which Hailun Station located (at longitude 126°55'12", latitude 47°27'14") is one of the four black soil areas in the world. However, public report of the multi-meteorological data of Hailun Station is still limited to individual meteorological elements until now, the whole meteorological elements of Hailun Station according to the time series had not been published. Based on the original data collected by VAISALA automatic observation system of Hailun Station Meteorological Observation Field and after data processing, quality control and evaluation, this dataset takes the month as the scale to collate 10-year meteorological data published from 2009 to 2018 in 17 tables (116 KB), including temperature, dew point temperature, relative humidity, precipitation, air pressure, water vapor pressure, sea level pressure, 10 min monthly average wind speed, soil surface temperature, 5 cm monthly average soil temperature, 10 cm soil monthly average temperature, 15 cm monthly average soil temperature, 20 cm monthly average soil temperature, 40 cm monthly average soil temperature, 60 cm monthly average soil temperature, 100 cm monthly average soil temperature and solar radiation. It is aimed to provide basic support for the development of national economy, especially local agricultural production activities.
Keywords: black soil; farmland ecosystem; meteorological data; Hailun