Page 236 - 《高原气象》2025年第6期

高 原 气 象 44 卷
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Comparison of Atmospheric Boundary Layer Height Inversion

Methods over Typical Areas of the Loess Plateau

5
1， 2
ZHANG Xiang ， YU Ye 1， 2， 3， 4 ， DONG Longxiang 1， 3， 4 ， ZHAO Guo 1， 3， 4 ， MA Teng ，
QI Shaofeng ， ZHAO Suping 1， 2， 3， 4 ， LI Jianglin 1， 3， 4 ， ZHANG Tong 1， 3， 4
1， 2
（1. State Key Laboratory of Cryospheric Science and Frozen Soil Engineering， Northwest Institute of Eco-Environment and
Resources， Chinese Academy of Sciences， Lanzhou 730000， Gansu， China；
2. University of Chinese Academy of Sciences， Beijing 100049， China；
3. Pingliang Land Surface Process and Severe Weather Research Station， Pingliang 744015， Gansu， China；
4. Gansu Land Surface Process and Severe Weather Observation and Research Station， Pingliang 744015， Gansu， China；
5. Key Laboratory for Arid Climate Change and Disaster Reduction of Gansu Province， Lanzhou Institute of Arid Meteorology，
Northwestern Regional Center of Numerical Weather Prediction， Key Open Laboratory for Arid Climate Change and Disaster
Reduction of the China Meteorological Administration， Lanzhou 730020， Gansu， China）

Abstract： The atmospheric boundary layer height （ABLH） is one of the most important parameters in the study
of atmospheric environment， weather and climate. With the development of ground-based remote sensing tech‐
nology， continuous monitoring of ABLH has become possible. However， the ABLH derived based on ground-
based remote sensing depends on the inversion method used and is affected by complex atmospheric conditions.
st
th
In this study， we use the data from ceilometer and rain gauge， weather records from 27 August 2020 to 1 Au‐
gust 2023 and radiosonding records obtained during the 2023 summer extensive observation period at the Pingli‐
ang Land Surface Process and Severe Weather Research Station， Chinese Academy of Sciences. The effective‐
ness of several commonly used algorithms for inverting ABLH based on backscatter profiles from ceilometer are
evaluated by comparing with the ABLH identified by potential temperature profiles. A hybrid algorithm that em‐
ploys different backscatter gradient inversion methods for daytime［08:00（Beijing time， same as after） -19:00］
and nighttime （from 20:00 to 07:00 the next day） is proposed with constrained retrieval heights tailored for the
study area. The results reveal notable differences in the inversion results among various algorithms， including the
maximum negative gradient method， the three-major negative gradient evaluation method， the percentage fluctu‐
ation method， the inflection point method， and the Flamant method. Specifically， the ABLHs derived by the Fla‐
mant method， the three-major negative gradient evaluation method， and the maximum negative gradient method
correlated well with that determined by the potential temperature profile and give lower mean absolute devia‐
tions. In contrast， the ABLHs derived by the inflection point method and the percentage fluctuation method give
large absolute deviations. Appropriate smoothing of the backscatter profiles， combined with the hybrid algo‐
rithm， significantly improved the accuracy of the derived ABLH. Among the investigated methods， the SG 25/
25 smoothing scheme combined with the Flamant and maximum negative gradient hybrid algorithm yielded the
best results， achieving a correlation of 0. 56 with the ABLH determined by the potential temperature profile and
an average absolute deviation of approximately 406 m. The correlation between the ABLHs derived from the hy‐
brid algorithm and that from the ceilometer’s internal algorithm is 0. 64. The hybrid algorithm can effectively
capture the diurnal variation of ABLH. The proposed hybrid algorithm can be used to obtain continuous， high-
resolution ABLH information， serving as a valuable supplementary method for obtaining fundamental data on
ABLH and related parameters.
Key words： boundary layer height； ceilometer； potential temperature profiles； backscatter signal profiles； in‐
version