基于地基GNSS-R的夏季北极临岸地区土壤湿度反演:以阿拉斯加巴罗站为例
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X87

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国家自然科学基金(42174016)


Research on soil moisture inversion in Arctic coastal areas in summer based on ground-based GNSS-R: A case study of Barrow Station in Alaska
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    摘要:

    为了验证全球导航卫星系统反射(Global navigation satellite system reflectometry, GNSS-R)技术在北极临岸地区土壤湿度监测中的可靠性,采用GNSS-R技术开展了夏季阿拉斯加巴罗(Barrow)站的土壤湿度反演研究,并分别以美国能源部的ARM计划和SMAP中的土壤湿度为参考值,分析了2015—2023年巴罗站土壤湿度的变化特征。结果显示,2015—2023年GNSS-R数据与SMAP和ARM土壤湿度数据在长期趋势上具有较好的一致性,年际结果间的相关性分别为0.54~0.76和0.54~0.81,均方根误差分别为0.02~0.06和0.01~0.06。在2015—2023年的6—9月,GNSS-R反演的土壤湿度在中高湿度范围(SMAP的0.4~0.6 cm3/cm3,ARM的0.20~0.35 g/g)下,与SMAP和ARM观测结果的一致性最佳。在低湿度和高湿度条件下,GNSS-R反演结果虽然能够捕捉土壤湿度的上升趋势,但与SMAP和ARM存在一定的偏差,这可能与夏季降雨增加有关。本研究证实了GNSS-R技术在北极沿岸反演土壤湿度的可靠性。

    Abstract:

    In order to verify the reliability of GNSS-R technology in soil moisture monitoring in the Arctic coastal areas, the experiment used GNSS-R technology to carry out soil moisture inversion research at Barrow Station in Alaska in summer, and took the soil moisture in the ARM program and SMAP of the US Department of Energy as reference values, respectively, to analyze the variation characteristics of soil moisture at Barrow Station from 2015 to 2023. The results show that the GNSS-R data from 2015 to 2023 have good consistency with the SMAP and ARM soil moisture data in the long-term trend, and the correlation between the interannual results is 0.54-0.76 and 0.54-0.81, respectively, and the root mean square errors are 0.02-0.06 and 0.01-0.06, respectively. From June to September in 2015 to 2023, the soil moisture inverted by GNSS-R is most consistent with the SMAP and ARM observations in the medium-to-high humidity range (0.4-0.6 cm3/cm3 for SMAP and 0.20-0.35 g/g for ARM). Under low and high humidity conditions, although the GNSS-R inversion results can still capture the rising trend of soil moisture, there is a certain deviation from SMAP and ARM, which may be related to the increase in summer rainfall. This study confirms the reliability of GNSS-R technology in inverting soil moisture along the Arctic coast.

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孔德刚,常亮.基于地基GNSS-R的夏季北极临岸地区土壤湿度反演:以阿拉斯加巴罗站为例[J].上海海洋大学学报,2026,35(1):324-335.
KONG Degang, CHANG Liang. Research on soil moisture inversion in Arctic coastal areas in summer based on ground-based GNSS-R: A case study of Barrow Station in Alaska[J]. Journal of Shanghai Ocean University,2026,35(1):324-335.

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  • 收稿日期:2025-04-02
  • 最后修改日期:2025-05-09
  • 录用日期:2025-05-12
  • 在线发布日期: 2026-01-08
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