1996-2020年安塞试验站空气和土壤温度长期监测数据集

A dataset of long-term monitoring air and soil temperature during 1996-2020 at Ansai Research Station

气温是地面气象站测定的常规要素之一,是反映一个地区气候特征的重要因子。土壤作为地球表层系统的基本组成成分,在储存养分、维持植物生长、涵养水源、稳定和缓冲环境变化等方面发挥着重要作用。土壤与大气之间不断进行着能量和物质交换,气温直接对土壤温度产生影响。中国科学院安塞水土保持综合试验站是中国生态系统研究网络(CERN)生态站和国家野外科学观测研究站之一,该试验站受中温带干旱大陆性季风气候的影响,具有低温、低湿、降水稀少的气候特点,可作为生态环境建设长期监测以及科学研究的试验示范地。本文利用安塞生态站气象观测场人工和自动气象观测系统,经过数据采集与处理,数据质量控制和评估,将1996-2020年25年日平均气温、日最高和最低气温、地表日平均温度,5 cm、10 cm、15 cm、20 cm、40 cm、60 cm和100 cm深度的日平均土壤温度数据共计2个表格763 KB公开报道,以期为黄土高原植被恢复、生物多样性维持及生态环境的恢复提供数据支持,从而更好地为生态系统功能服务。

Temperature is one of the conventional elements measured by ground meteorological stations and it is an important factor reflecting the climatic characteristics in a region.As a basic component of the earth’s surface system,soil plays an important role in storing nutrients,maintaining plant growth,conserving water resources,stabilizing and buffering environmental changes.There is a continuous exchange of energy and material between soil and atmosphere,and air temperature has a direct impact on soil temperature.Ansai Research Station of Soil and Water Conservation of Chinese Academy of Sciences is one of the ecological stations of China Ecosystem Research Network(CERN)and the National Field Science Observation and Research Station.Affected by the arid continental monsoon climate in the middle temperate zone,Ansai Station has the climate characteristics of low temperature,low humidity and scarce precipitation.It can be used as an experimental demonstration site for long-term monitoring of ecological environment construction and scientific research.In this paper,through the artificial and automatic meteorological observation system of the meteorological observation field of Ansai Ecological Station,we publicly reported 2 tables of 763 KB:one contains the daily average temperature,daily maximum and minimum temperature and daily average surface temperature of 25 years from 1996 to 2020,and the other contains soil surface temperature,5 cm,10 cm,15 cm,20 cm,40 cm,60 cm and 100 cm daily average soil temperature from 2004 to 2020.All these data were based on data acquisition and processing,data quality control and evaluation criterions.The dataset can provide data support for vegetation restoration,biodiversity maintenance and ecological environment restoration on the Loess Plateau,so as to provide better services for the ecological function.