促进半北方森林生态系统长期三维声速计测量

Q4 Agricultural and Biological Sciences
S. Noe, A. Krasnova, D. Krasnov, H. Peter, E. Cordey, A. Kangur
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引用次数: 0

摘要

森林固碳能力的估算依赖于对涡旋相关方差测量的足迹进行正确的评估。爱沙尼亚严酷的冬季气温导致三维声速风速仪传感器头部结冰,从而导致数据的测量空白。为了最大限度地提高数据的可用性,我们使用智能加热算法来最大限度地减少风速计传感器头上的结冰。在此,我们研究了在测量仪器上形成冰的温度分布。我们发现了三个主要的温度范围:0°C到- 3°C之间,这是冰形成最丰富的温度范围;还有两个温度区域的峰值在- 10°C和- 20°C附近。我们防止结冰的算法导致了非常短的加热间隔,大约25到30秒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Facilitating long-term 3D sonic anemometer measurements in hemiboreal forest ecosystems
Abstract Estimations of forests’ carbon sequestration capacity relies on proper assessment of the eddy covariance measurement mast’s footprint. Harsh winter temperatures in Estonia lead to ice formation on 3D sonic anemometer sensor heads and thus induce measurement gaps in the data. To maximise data availability, we use a smart heating algorithm to minimise ice formation on the anemometer sensor heads. Here, we studied the temperature distribution of ice formation on the measurement instruments. Three major temperature ranges were found, between 0°C and −3°C, which is the most abundant temperature range for ice formation, and two temperature regions with peaks around −10°C and −20°C. Our algorithm to prevent ice formation led to very short median heating intervals of about 25 to 30 seconds.
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来源期刊
Forestry Studies
Forestry Studies Agricultural and Biological Sciences-Forestry
CiteScore
0.70
自引率
0.00%
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