Yao Xiao , Guojie Hu , Ren Li , Tonghua Wu , Xiaodong Wu , Guangyue Liu , Defu Zou , Zanpin Xing , Jimin Yao , Chong Wang , Lin Zhao
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引用次数: 0
Abstract
Snow cover critically influences ground thermal regimes and surface energy fluxes in alpine permafrost regions. However, its depth-dependent effects remain poorly understood, particularly on the Qinghai–Tibet Plateau (QTP), where snow is typically thin and short-lived. Using multi-year, high-resolution observations from two contrasting sites (TGL, 5100 m; XDT, 4538 m), we analyzed snow cover characteristics, ground surface temperature (GST) responses, and energy flux dynamics. Piecewise regression revealed site-specific insulation thresholds at 4.1 cm (TGL) and 6.9 cm (XDT). Above these depths, GST variability declined, the difference between GST and air temperature (ΔT) increased, and net radiation and soil heat flux decreased, indicating stronger thermal buffering. Below the thresholds, especially under snow <2 cm, GST amplitude remained high and ΔT low, suggesting enhanced cooling via albedo and melt-induced latent heat loss. Energy fluxes exhibited similarly nonlinear responses, with stronger radiative loss and variability under thin snowpacks, especially at XDT. Transient events missed by daily datasets were captured by high-frequency sensors. Compared to Arctic regions, the QTP’s snow–ground coupling is dominated by shallow-snow processes and strong surface–atmosphere exchange. These findings underscore the need for threshold-aware, depth-sensitive snow parameterizations in cold-region models to better simulate thermal transitions and permafrost responses under changing snow regimes.
期刊介绍:
Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published.
Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.