中国生态系统研究网络CERN专题 最新来稿(未评审) 版本 ZH1
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2009–2018年中国科学院海伦农业生态实验站气象数据集
Meteorological dataset observed by Hailun Agroecosystem Experimental Station, China Academic of Science (2009 – 2018)
: 2019 - 08 - 03
: 2019 - 08 - 14
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摘要&关键词
摘要:气象观测数据是开展天气预报预警、气候预测预估、科学研究的基础,是推动气象科学发展的原动力。中国科学院海伦农业生态实验站是中国生态系统研究网络(CERN)和国家级长期定位研究站,其所在区域是世界四大黑土区之一,代表了中国东北黑土区农田生态系统。目前公开报道的该站气象数据只局限于个别气象要素,尚未见整体多个气象要素。鉴于此,本文利用海伦站气象观测场VAISALA自动观测系统采集原始数据,经过数据处理、质量控制和评估,将2009–2018年10年的气象数据共计17个表格116 KB公开报道,以期为国民经济的发展,尤其是当地农业生产活动提供基础支撑。
关键词:黑土;农田生态系统;气象数据;时间序列
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
稿件与作者信息
李猛
li meng
李禄军
li lujun
lilunjun@iga.ac.cn
出版历史
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中国科学数据
csdata