Chinese Ecosystem Research Network Zone I Versions ZH2
Meteorological dataset observed by Hailun Agroecosystem Experimental Station, China Academic of Science (2009 – 2018)
Dataset URL >>
: 2019 - 08 - 03
: 2019 - 09 - 16
: 2019 - 09 - 16
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Abstract & Keywords
Abstract: Meteorological observation data is the basis of weather forecast early warning, climate prediction and scientific research, which is the original force to promote the development of meteorological science. Hailun Agricultural Ecology Experimental Station, Chinese academy of Sciences, which belonged to China ecosystem research network (CERN) and national long–term positioning research station, represented the farmland ecosystem in the black soil area of the Northeast China. The black soil area in which the Hailun Station located is one of the four black soil areas in the world. However, public report of the meteorological data of Hailun Station was still limited to individual meteorological elements until now, the whole meteorological elements of Hailun Station according to the time series had not been published. The original data was collected by VAISALA automatic observation system of the Hailun Station meteorological observation field. After data processing, quality control and evaluation, 17 tables, 116 KB of 10 year meteorological data from 2009 to 2018 was published. Our aims were to provide basic support for the development of national economy, especially local agricultural production activities.
Keywords: black soil; farmland ecosystem; meteorological data; time series
Dataset Profile
Title(Meteorological Dataset observed by Hailun Agroecosystem Experimental Station, China Academic of Science (2009–2018))
Data corresponding authorlilujun (
Data author(s)Li Meng, Hu Bo, Li Lujun
Time range2009 – 2018
Geographical scopeHailun Agroecosystem Experimental Station, Chinese Ecosystem Research Network; National Field Observation and Research Station of Agroecosystem in Hailun, Chinese Academy of Science, located in Hailun City, Suihua City, Heilongjiang Province, China. Geographical location: 126º55′E, 47º27′N.
Data volume116 KB
Data format*.xlsx
Data service system<>
Source(s) of fundingSupported by Chinese Ecosystem Research Network of Chinese Academy of Sciences and National Ecosystem Research Network of China, Ministry of Science and Technology.
Dataset/Database compositionThe dataset consists of the following seventeen tables: temperature, dew point temperature, relative humidity, precipitation, air pressure, water vapor pressure, sea level pressure, 10 min average 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, solar radiation.
Article and author information
Li Meng
Hu Bo
Li Lujun
Publication records
Released: Sept. 16, 2019 ( VersionsZH2