Page 45 - 《高原气象》2025年第3期

3 期 包逸群等：CLM5.0模式加密土壤分层方案对黄河源区玛多站土壤温湿度的模拟 603

Simulation of Soil Temperature and Humidity at Mado Station

by CLM5.0 Model Encrypted Soil Layering Scheme

1， 2
BAO Yiqun ， LÜ Shihua ， LIU Zisha 1
1
（1. College of Atmospheric Sciences， Chengdu University of Information Technology/Sichuan Key Laboratory of Plateau Atmosphere
and Environment/Sichuan Field Scientific Observatory of Urban Meteorology and Environment in Chengdu Plain/Sichuan Engineering
Laboratory of Meteorological Disaster Forecasting and Early Warning， Chengdu 610225， Sichuan， China；
2. Institute of Arid Meteorology， China Meteorological Administration， Lanzhou 730020， Gansu， China）

Abstract： The source of the Yellow River is an important water conservation area in the Yellow River Basin， and
it is of great significance to study the influence of different soil stratification on the simulation results of freeze-
thaw process and to improve the model's simulation ability of water-heat transport process for the study of freeze-
thaw process in the alpine region. In this paper， we use the observation data from Mado station in the Yellow Riv‐
er source area as the forcing field to drive the land surface model CLM5. 0 （Community Land Model） to simu‐
late in Mado station， and use the three improved soil layering schemes of CLM5. 0 to simulate the influence of
different soil layering on the soil freezing and thawing process， and compare the simulation results with the ob‐
servations to analyze the influence of the improved layering schemes on the land surface model. CLM5. 0 in the
Yellow River source area in the process of freezing and thawing on the soil temperature and humidity simulation
ability to improve the effect of the following conclusions： （1） adjusted three soil layering scheme on the simula‐
tion of soil temperature at Mardo station has a better effect of the improvement of the simulation of the three pro‐
grams in the 30-layer program simulation of the best effect of the simulation， simulated values and the average
correlation coefficient with the observed value reaches 0. 954， the average root-mean-square error of 3. 334 ℃
（2） The simulation effect of the three adjusted soil layering schemes on soil moisture at Mado station is also im‐
proved more significantly， which can accurately capture the seasonal changes of soil moisture in each layer in a
whole year， affected by precipitation， the simulated values are not sufficiently relevant to the simulation of the
troughs of the measured values， and the best simulation effect is achieved in the 30-layer scheme among the three
schemes， with an average correlation coefficient of 0. 770， and an average root-mean-square error of The aver‐
3
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age correlation coefficient is 0. 770， and the average root mean square error is 0. 039 m·m ； （3） For the simula‐
tion of the initial day of freezing and the initial day of ablation， the adjusted three different soil layers have obvi‐
ous effects on the simulation of the freezing period and the ablation period， and the simulated initial day of freez‐
ing and the initial day of ablation of the shallow layer are in line with the observed values， while the simulation
of the initial day of freezing and the initial day of ablation of the deeper layer is somewhat biased， with delays
compared with the observed values， and the period of ablation is more persistent.
Key words： CLM5. 0 land surface model； soil stratification； soil temperature； soil moisture； numerical simula‐
tion