Planetary boundary layer height retrieval from a diode-laser-based high spectral resolution lidar
Planetary boundary layer height retrieval from a diode-laser-based high spectral resolution lidar
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DOI：
10.1117/1.jrs.16.024507
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发表时间：
2022-04
影响因子：
1.7
通讯作者：
Luke Colberg;Owen Cruikshank;K. Repasky
中科院分区：
文献类型：
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作者：
Luke Colberg;Owen Cruikshank;K. Repasky
.行星边界层高度（PBLH）是天气预报和气候模拟的重要参数。获得PBLH的主要方法包括无线电探空仪测量大气参数和激光雷达测量，激光雷达测量跟踪低层大气中的气溶胶层。无线电探空仪提供了确定PBLH的参数，但不能监测昼夜周期的变化。激光雷达仪器可以跟踪PBLH的时间变化，并在网络配置中操作时考虑空间变化。用于热力学分析的可联网微脉冲DIAL（MPD）仪器基于二极管激光技术，该技术对眼睛安全且具有成本效益，并已证明可长期自主运行。我们提出了一个检索算法，用于确定PBLH定量气溶胶廓线的MPD的高光谱分辨率通道的能力。PBLH是使用Haar小波变换（HWT）方法，跟踪低层大气中的气溶胶层。从激光雷达的PBLH与从无线电探空仪的潜在温度廓线确定的PBLH进行了比较。在许多情况下，PBLH检索之间的良好协议。然而，无线电探空反演往往错过最低逆温层时，几个层，而HWT可以跟踪最低层。©作者。由SPIE在知识共享署名4.0国际许可下发布。分发复制的工作的原始出版物，DOI。[DOI：10.1117/1.JRS.16.024507]
. The planetary boundary layer height (PBLH) is an essential parameter for weather forecasting and climate modeling. The primary methods for obtaining the PBLH include radiosonde measurements of atmospheric parameters and lidar measurements, which track aerosol layers in the lower atmosphere. Radiosondes provide the parameters to determine the PBLH but cannot monitor changes over a diurnal cycle. Lidar instruments can track the temporal variability of the PBLH and account for spatial variability when operated in a network configuration. The networkable micropulse DIAL (MPD) instruments for thermodynamic profiling are based on diode-laser technology that is eye-safe and cost-effective and has demonstrated long-term autonomous operation. We present a retrieval algorithm for determining the PBLH from the quantitative aerosol profiling capability of the high spectral resolution channel of the MPD. The PBLH is determined using a Haar wavelet transform (HWT) method that tracks aerosol layers in the lower atmosphere. The PBLH from the lidar is compared with the PBLH determined from potential temperature profiles from radiosondes. In many cases, good agreement among the PBLH retrievals was seen. However, the radiosonde retrieval often missed the lowest inversion layer when several layers were present, while the HWT could track the lowest layer. © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution reproduction of work of the original publication, DOI. [DOI: 10.1117/1.JRS.16.024507]