2005~2014年CERN野外台站气象观测场土壤含水量数据集  被引量:6

A soil moisture dataset observed in weather sites of CERN(2005-2014)

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作  者:唐新斋[1] 袁国富[1,2] 朱治林 张心昱[1,2] 孙晓敏 常学向[3] 戴冠华 杜娟[5] 傅伟 官有军[7] 郭永平[8] 何其华 何永涛[10] 黄苛 姜峻[11] 蒋正德[4] 李猛[12] 李伟 李小丽[7] 李晓欣[14] 李新虎[8] 李玉成[11] 李玉强 鲁志云[15] 苏宏新[5] 孙聃 唐建维[15] 汪树超[5] 王吉顺[10] 王书伟 徐文婷 杨风亭 尹春梅[6] 张法伟[17] 张加双[12] 张倩媚[16] 张志山[3] 章熙锋[13] 赵岩[8] Tang Xinzhai;Yuan Guofu;Zhu Zhilin;Zhang Xinyu;Sun Xiaomin;Chang Xuexiang;Dai Guanhua;Du Juan;Fu Wei;Guan Youjun;Guo Yongping;He Qihua;He Yongtao;Huang Ke;Jiang Jun;Jiang Zhengde;Li Meng;Li Wei;Li Xiaoli;Li Xiaoxin;Li Xinhu;Li Yucheng;Li Yuqiang;Lu Zhiyun;Su Hongxin;Sun Dan;Tang Jianwei;Wang Shuchao;Wang Jishun;Wang Shuwei;Xu Wenting;Yang Fengting;Yin Chunmei;Zhang Fawei;Zhang Jiashuang;Zhang Qianmei;Zhang Zhishan;Zhang Xifeng;Zhao yan(Sub-Center for Water of CERN,Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,P.R.China;Colleague of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,P.R.China;Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sciences;Institute of Applied Ecology,Chinese Academy of Sciences;Institute of Botany,Chinese Academy of Sciences;Institute of Subtropical Agriculture,Chinese Academy of Sciences;Institute of Soil Science,Chinese Academy of Sciences;Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences;Chengdu Institute of Biology,Chinese Academy of Sciences;Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences;Institute of Soil and Water Conservation,Chinese Academy of Sciences and Ministry of water Resources;Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences;Institute of Mountain Hazards and Environment,Chinese Academy of Sciences;Developmental Biology,Chinese Academy of Sciences;Xishuangbanna Tropical Botanical Garden,Chinese Academy of Sciences;South China Botanical Garden,Chinese Academy of Sciences;Northwest Institute of Plateau Biology,Chinese Academy of Sciences)

机构地区:[1]中国科学院地理科学与资源研究所,中国科学院生态系统网络观测与模拟重点实验室,CERN水分分中心,北京100101 [2]中国科学院大学资源与环境学院,北京100049 [3]中国科学院寒区旱区环境与工程研究所 [4]中国科学院沈阳应用生态研究所 [5]中国科学院植物研究所 [6]中国科学院亚热带农业生态研究所 [7]中国科学院南京土壤研究所 [8]中国科学院新疆生态与地理研究所 [9]中国科学院成都生物研究所 [10]中国科学院地理科学与资源研究所 [11]中国科学院西北水土保持研究所 [12]中国科学院东北地理与农业生态研究所 [13]中国科学院成都山地灾害与环境研究所 [14]中国科学院遗传与发育生物学研究所 [15]中国科学院西双版纳植物园 [16]中国科学院华南植物园 [17]中国科学院西北高原生物研究所

出  处:《中国科学数据(中英文网络版)》2017年第1期35-44,J0042-J0054,共10页China Scientific Data

基  金:中国科学院科学服务网络计划(STS计划,KFJ-SW-STS-168);中国科学院科学服务网络计划(STS计划,KFJ-SW-STS-167)

摘  要:土壤水分是影响陆地-大气边界层能量和物质传输的重要因子。土壤水分含量是中国生态系统研究网络(CERN)陆地生态系统水环境长期定位观测的重要指标。截至2014年,CERN全国范围内包括农田、森林、草地、荒漠与湿地等生态类型的34个陆地生态系统台站,依据陆地水环境观测规范、质量保证与质量控制规范,设立观测样地,并开展土壤含水量的长期定位观测与数据汇交及质控工作。CERN水分分中心选取了这34个台站2005~2014年气象观测场的土壤含水量长期监测数据,通过进一步统一规范数据格式,形成了全国范围内较长时间序列的公开共享数据集,为土壤含水量时空动态的遥感反演、模型估算验证提供地面实测数据支撑。Soil moisture is an important variable that influences land-atmosphere interactions by modifying energy and water fluxes in the boundary layer.It is one of the most important variables long-term monitored by Chinese Ecosystem Research Network(CERN).The soil moisture in-situ monitoring instruments have been set up in CERN’s 34 stations of various terrestrial ecosystems according to the CERN’s protocols of observation and quality control.The dataset contains soil moisture documented in weather sites from the 34 stations across China,during 2005 and 2014.The raw data have been processed through basic quality control approaches and general format translation.This time-series dataset can provide a general profile of,and spatial and temporal dynamics of soil moisture over China since 2005.It can also be used for calibrating and validating of remote sensing retrieval or model simulation.

关 键 词:陆地生态系统 气象观测场 土壤含水量 台站 CERN 

分 类 号:G250.74[文化科学—图书馆学] S152.7[农业科学—土壤学]

 

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