Plateau Meteorology

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2019 , Vol. 38 >Issue 6: 1129 - 1139

DOI: https://doi.org/10.7522/j.issn.1000-0534.2018.00159

Impact of High-Resolution Atmospheric Forcing and Plant Functional Types Datasets on Soil Temperature Simulation in the Qinghai-Tibetan Plateau

  • SHEN Runping ,
  • GUO Qian ,
  • CHEN Pingping ,
  • LI Xinhui ,
  • WANG Shaowu ,
  • SHI Chunxiang
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  • School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China;School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China;National Meteorological Information Center, China Meteorological Administration, Beijing 100081, China

Received date: 2018-10-15

  Online published: 2019-12-28

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Abstract

Soil temperature is a key physical quantity in the land-atmosphere interaction, and also an important parameter in the research of land surface model simulation. However, it is very difficult to obtain the spatiotemporal continuous data in high resolution, especially in the Qinghai-Tibetan Plateau of China with high altitude and harsh environment. Land surface model simulation with fusion of remote sensing data sets provides a feasible and effective way to obtain soil temperature information with high spatial and temporal resolution. Meanwhile, atmospheric forcing data and plant functional type's data are both important input data of Community Land Model (CLM), and their quality affects the accuracy and reliability of simulation results. In this paper, a new surface plant functional types data (MVEG) was produced, based on multi-source remote sensing data fusion. And then several simulation experiments were carried out which focused on the simulation study of soil temperature (0~10 cm) on the Tibetan Plateau in 2015. These experiments were all about Community Land Model, but different atmospheric forcing data and plant functional type's data were inputted. The latest High Resolution China Meteorological Administration Land Data Assimilation System Version1.0 (HRCLDAS V1.0, 1 km, 1 h) was used to improve the spatial and temporal resolution of model simulation. And its influence on soil temperature simulation was explored, as well as its synergistic effect with MVEG. The results showed that HRCLDAS-V1.0 atmospheric forcing data (1 km, 1 h) had a great improvement effect, it could significantly reduce the error of model simulation. MVEG could improve the simulation of extremes and at the same time, the spatial distribution of soil temperature turned out to be more reasonable. The simulated value of CLDAS/CLM (6 km, 1 h) was larger than observation overall(about 1℃). In contrast, HRCLDAS/CLM (1 km, 1 h) could improve the simulation results. The absolute value of annual mean bias and RMSE of soil temperature (0~10 cm) in the HRCLDAS/CLM simulation experiment were reduced by 0.82℃, 0.18℃, respectively. The simulated value by HR-MVEG/CLM (1 km, 1 h, improved plant functional types) was the most close to the observed value with the RMSE of HR-MVEG/CLM decreased by 0.27℃. Moreover, HR-MVEG/CLM could reflect the detailed characteristics of soil temperature spatial distribution.

Key words： Qinghai-Tibetan Plat; HRCLDAS/CLM system; soil temperature; plant functional typ

Cite this article

SHEN Runping , GUO Qian , CHEN Pingping , LI Xinhui , WANG Shaowu , SHI Chunxiang . Impact of High-Resolution Atmospheric Forcing and Plant Functional Types Datasets on Soil Temperature Simulation in the Qinghai-Tibetan Plateau[J]. Plateau Meteorology, 2019 , 38(6) : 1129 -1139 . DOI: 10.7522/j.issn.1000-0534.2018.00159

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