• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology >Assimilation of soil moisture in LPJ-DGVM
【24h】

Assimilation of soil moisture in LPJ-DGVM

机译：LPJ-DGVM中土壤水分的同化

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Process-oriented dynamic vegetation models are effective tools to assess carbon and water exchanges between vegetation and environment for different scales. Lund-Potsdam-Jena Dynamic Global Vegetation Model (LPJ-DGVM) is one of the well-established, process-oriented dynamic vegetation models. It can simulate seasonal trends of EvapoTranspiration (ET) and Net Ecosystem Exchange (NEE) forced by weather data. In this study, LPJ-DGVM was employed to simulate the ET and NEE in Yingke (YK) oasis station and A'Rou (AR) freeze/thaw observation station. The results indicate that LPJ-DGVM could not make good estimations in both YK station and AR station. The simulation results were validated with the water and CO_2 flux observation from Eddy Covariance (EC).The freeze-thaw phenomenon and irrigation have great impacts on soil water content dynamic in arid region, but they are not considered in LPJ-DGVM. In order to improve the simulation accuracy, a soil water content data assimilation scheme was designed. The observed soil water content was assimilated into LPJ-DGVM with Ensemble Kalman Filter (EnKF) algorithm. The simulation accuracy of LPJ-DGVM was improved obviously when soil water content was assimilated into LPJ-DGVM. The EnKF is effective for assimilating in situ observation.
机译：以过程为导向的动态植被模型是评估植被与环境之间的碳和水交换的有效工具。 Lund-Potsdam-jena动态全球植被型号（LPJ-DGVM）是良好的过程导向的动态植被型号之一。它可以模拟天气数据强制蒸发（ET）和净生态系统交易所（NEE）的季节性趋势。在这项研究中，LPJ-DGVM被用来模拟Yingke（YK）Oasis Station和A'Rou（AR）冻结/解冻观察站的ET和Nee。结果表明，LPJ-DGVM不能在YK站和AR站中进行良好的估计。仿真结果验证了涡流协方差（EC）的水和CO_2助焊剂观察。冻融现象和灌溉对干旱地区的土壤水含量有很大影响，但它们不考虑在LPJ-DGVM中。为了提高仿真精度，设计了一种土壤水分含量数据同化方案。通过集合Kalman滤波器（ENKF）算法，观察到的土壤水含量被同化为LPJ-DGVM。当土壤水含量同化到LPJ-DGVM时，LPJ-DGVM的模拟精度明显提高。 ENKF对于在原位观察中有效。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号