您好，欢迎访问中国热带农业科学院 机构知识库！
中国热带农业科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Improving ecological indicators of arid zone deserts through simulation

文献类型： 外文期刊

作者： Wang, Jing 1 ; Xue, Lianqing 1 ; Xiang, Chenguang 1 ; Li, Xinghan 3 ; Xie, Lei 4 ;

作者机构： 1.Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China

2.Wanjiang Univ Technol, Maanshan 243031, Anhui, Peoples R China

3.Chinese Acad Trop Agr Sci, Inst Trop Biosci & Biotechnol, Hainan Key Lab Funct Components & Utilizat Marine, Key Lab Trop Crop Biotechnol, Haikou 571101, Peoples R China

4.Xinjiang Water Resources & Hydropower Planning & D, Urumqi 830000, Peoples R China

关键词： Data reconstruction; Yarkant river basins; Arid zones; Data assimilation; GLDAS

期刊名称：ECOLOGICAL MODELLING （ 影响因子：3.1； 五年影响因子：3.1 ）

ISSN： 0304-3800

年卷期： 2023 年 485 卷

页码：

收录情况： SCI

摘要： Ecological indicators, such as soil moisture content and gross primary production (GPP), play important roles in the management of ecosystems and water resources and within climate change research. However, studies on monitoring and simulation of ecological indicators of arid zones remain limited. This study simulated soil moisture (SM), latent heat (LH), and gross primary productivity (GPP) for the arid Yarkant River Basin in China using the High-Resolution Land Data Assimilation System and Deep learning. Simulation of hydrology over a large spatial scale is difficult due to a lack of observed data and the difficulty in parameterizing models to represent complicated ecological mechanisms. A comparison of Noah Multi-Parameterization (Noah-MP) simulations to multiple datasets at an annual scale obtained correlation coefficients exceeding 0.8. The model was able to replicate the broad temporal dynamics of GPP and LH over the Yarkant River Basin. Point-and regionalscale assessments across the Yarkant River Basin obtained the optimal model performance. The temporal trends in simulated SM anomalies were consistent with observations across the different sub-basins. The simulations of the Noah-MP model driven by Global Land Data Assimilation System (GLDAS) and ERA5 data provided accurate representations of most hydrological variables, except for in the upper reaches of Yarkant River Basin, likely due to the extensive freeze-thaw activity in this transitional region. The results of this study can fill hydrological data gaps in arid zones areas.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：中国热带农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台