Calculating a minimum overlap period for successful intercalibration of soil moisture sensors

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-05-29 DOI:10.1002/vzj2.20346
Victoria A. Walker, Michael H. Cosh, Tyson E. Ochsner
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Abstract

Long‐term in situ soil moisture monitoring inevitably requires sensors to be replaced. Ensuing discontinuities in the data record can be mitigated by intercalibration, however it is unclear how long the existing sensor needs to remain alongside the newly installed before there is enough overlapping data to generate a robust intercalibration. We used 154 pairs of established and newly installed sensors within the Marena, Oklahoma, In Situ Sensor Testbed to determine if there is a minimum overlap time that should be considered when planning upcoming replacements. Hourly observations of the existing sensor were linearly calibrated to those of the newly installed sensor with coefficients determined from overlap periods incremented by 30 days until a reference period of 2 years was reached. The resulting bias, root‐mean‐square error, and correlation coefficient for sensor pairs indicate that a minimum of 6 to 9 months of overlapping data are required to generate a successful intercalibration. Extending that to a full year before decommissioning the old sensor results in a stable intercalibration with higher confidence.
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计算成功校准土壤水分传感器的最小重叠期
长期原位土壤水分监测不可避免地需要更换传感器。数据记录中随之出现的不连续性可以通过相互校准来缓解,但现有传感器需要与新安装的传感器并存多长时间才会有足够的重叠数据来产生稳健的相互校准,这一点尚不清楚。我们使用俄克拉荷马州马雷纳原位传感器试验台中 154 对已安装和新安装的传感器,以确定在规划即将进行的更换时是否需要考虑最短重叠时间。将现有传感器的每小时观测数据与新安装传感器的每小时观测数据进行线性校准,校准系数由重叠期确定,重叠期每 30 天递增一次,直至达到 2 年的参考期。由此得出的传感器对的偏差、均方根误差和相关系数表明,至少需要 6 到 9 个月的重叠数据才能成功进行相互校准。在旧传感器退役前,将重叠时间延长至一整年,可获得更稳定、可信度更高的相互校准结果。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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