Impacts of Soil Freeze–Thaw Process and Snow Melting Over Tibetan Plateau on Asian Summer Monsoon System: A Review and Perspective

Introduction

Monsoon is a product of the distribution of ocean, land, and special topography; its onset and development are mainly attributed to the thermal contrast between ocean and land (Meehl, 1994; Webster, 1998). Asian summer monsoon (ASM) dominates the summer precipitation belt in South and East Asia. The thermal and terrain effects of the Tibetan Plateau (TP) are important factors in the ASM climate system (e.g., Ye et al., 1957; Ye and Gao, 1979; Wu and Zhang, 1998; Ye and Wu, 1998; Wang et al., 2003; Duan et al., 2005; Wu et al., 2012a). A distinct symbol of ASM onset is the easterly arriving on the southern sides of TP and South Asia High has a jump over TP in June, and Hadley cell is replaced by the monsoon cell (Ye and Gao, 1979). Since Ye et al. (1957) found that TP is a heat source for atmospheric dynamics, researches on the dynamic and thermal forcing of TP have received much attention in the past decades (e.g., Qian et al., 2003a; Wang et al., 2003; Ding et al., 2008, 2009; Wu et al., 2012a; Duan et al., 2013; Wang C. et al., 2017). Wu et al. (2012a) demonstrated that surface sensible heating over TP forms and maintains the atmospheric circulation in the ASM regions in summer; surface sensible heating over TP acts as a pump in middle troposphere to change the atmospheric circulation around TP (Wu, 1984; Wu and Liu, 2000).

Both statistical analyses and model simulations have shown that strong TP surface diabatic heating (i.e., surface sensible and latent heat fluxes) favors an early monsoon onset and a strong ASM circulation, corresponding to a northward extent of the precipitation belt in East China (e.g., Zhao and Chen, 2001; Wang B. et al., 2008; Liu et al., 2012; Duan et al., 2013). Surface diabatic heating depends on the land surface processes (Wang C. et al., 2008, 2017; Wang et al., 2009b). An evident characteristic of TP land surface is the existence of a large amount of frozen ground and snow. The snow melting and freeze–thaw (SM-FT) process in spring strongly influences the surface sensible and latent heat fluxes in surface energy balance (Chow et al., 2008; Yang and Wang, 2019b). Although there are many available different land surface datasets over TP (Table 1), because of the model uncertainties and the lack of observation data, especially on the shortage of high spatiotemporal soil moisture and land surface heat flux data, some debates still exist on how the thermal effects of TP influence the ASM (Wu et al., 2012b, 2014).

Table 1. Summary of current land surface datasets used in studies about the impacts of soil freeze–thaw and snow-melting.

There is no doubt that the land–atmosphere interaction over TP acts a crucial role in the ASM climate system. However, some issues that still remain should be further investigated. For instance, whether ASM onset is prior to or lags behind the increase of diabatic heating caused by surface status changes (e.g., SM-FT) over TP. In other words, is the changing of surface diabatic heating over TP a result of the establishment of ASM or do the changes of surface diabatic heating promote the development of ASM and its northward advance? How and why do surface diabatic heating anomalies over TP affect the ASM system anomalies? Answering these issues can be beneficial to deeply understand the characteristics of the ASM activity and its mechanism. In this study, we aim to review recent progresses about the relation between surface diabatic heating anomalies over TP as induced by the SM-FT process and the activities of ASM and attempt to answer some issues.

The structure of this study is organized as follows: section “Characteristics of Surface Diabatic Heating and Land Surface Process Over TP” reviews the variations of surface diabatic heating over TP and their relations with the land surface processes (i.e., SM-FT) during spring. Section “Connections Between SM-FT Over TP and ASM Activity” discusses the relationship between the ASM activity (e.g., summer precipitation anomalies in EC) and surface diabatic heating of TP. Section “Possible Mechanisms Associated With the Climatic Effects of SM-FT Process” discusses the possible mechanisms by which SM-FT anomalies over TP influence the summer atmospheric circulation in East Asia. The summary and possible prospects are given in section “Summary and Prospects.”

Characteristics of Surface Diabatic Heating and Land Surface Process Over TP

Surface Diabatic Heating and Land Surface Process Over TP

The TP, which is an immense topography crossing the east–west direction at the middle and the lower latitude in the Northern Hemisphere, not only blocks meridional airflows and the northward transportation of water vapor but also remarkably influences energy and water vapor exchange between the land surface over TP and the surrounding atmosphere. The TP thermal forcing is suggested to dominate the ASM systems, whereas large-scale orographically mechanical forcing is not essential (Wu et al., 2012a).

The estimation of TP diabatic heating is a basic problem. However, the magnitudes of surface sensible heat (SH) flux and latent heat (LH) flux have great discrepancies in different datasets (Cui and Wang, 2009; Shi and Liang, 2014; Xie et al., 2018; Yang Y. et al., 2019). The early works by Ye et al. (1957) and Flohn (1957) suggested that TP is a heat source for the surrounding atmosphere. The results of Flohn (1960) further indicated that SH is dominant prior to the monsoon onset, but LH becomes more important when the rainy season over TP arrives. Ye and Gao (1979) examined the diabatic heating over TP based on surface temperature from in situ observations. They concluded that TP is a heat source during summer and a heat sink in winter. Later studies further confirmed this finding (e.g., Luo and Yanai, 1983; Wu and Zhang, 1998; Duan and Wu, 2005). According to the results of Duan and Wu (2008), the SH reaches its maximum in May and June in the eastern and the western TP, respectively, and the mean SH in the western TP is larger than that in the eastern TP. The latent heat released to the atmosphere by precipitation reaches its maximum in summer (i.e., July) and is dominant in the eastern TP (Figure 1A). The SH presents a decreasing trend over TP (Figure 1B).

Figure 1. Characteristics of diabatic heating over Tibetan Plateau (TP). (A) Climatological mean (1984–2003) of surface sensible heat (SH), latent heat (LH) released to the atmosphere by precipitation, net radiation flux (RC) of the air column, and atmospheric heat source/sink (E) over the central and eastern TP and western TP. (B) Trend of atmospheric heat source/sink and its components. This figure is based on the data from Duan and Wu (2008).

Changes of surface diabatic heating are closely related to the land surface processes (Yang et al., 2002; Wang C. et al., 2008; Wang et al., 2009b), such as the SM-FT process. A study showed that the magnitude of SH trend increases with elevation (Zhu et al., 2018), and the elevation dependency of the SH trend is related to the declining trend of snow depth in the recent decades, which is contributed by the strengthening of the difference between surface and air temperature (T_s-T_a). The soil moisture content over eastern TP shows a decreasing trend (Gao et al., 2015; Meng et al., 2018); this might be related to the freeze–thaw process, lead to the decline of land evapotranspiration (Jung et al., 2010), and affect surface diabatic heating consequently. The vegetation activity anomalies (e.g., NDVI) over TP caused by frozen ground changes can also affect the surface energy balance and result in surface diabatic heating anomalies (Zhang, 2005; Cuo et al., 2013).

Relation Between Land Surface Processes and SM-FT

Due to the distinct characteristics of the land surface over TP, there being a large amount of frozen soil and extensive snow over TP (Qin et al., 2006; Che et al., 2008; Yang M. et al., 2019), their anomalies and changes must strongly influence the land surface processes (Wang et al., 2009b; Bao et al., 2017; Wang C. et al., 2017). For example, the runoff over TP increased due to snow melting and glacier retreating (Yao et al., 2007; Wang Z. et al., 2017; Gao et al., 2018). The SM-FT has significant impacts on the difference between surface and air temperature (T_s-T_a) before the onset of the East Asian summer monsoon (EASM) (Wang and Cui, 2011), which further leads to the surface diabatic heating anomalies. Studies showed that the energy and water exchanges between atmosphere and land are different between soil frozen and unfrozen periods (Wang and Shang, 2007; Wang et al., 2009b; Wang and Cui, 2011; Ge et al., 2016; Li et al., 2018). For example, the simulation conducted by Wang C. et al. (2008) over the western TP showed that soil water content increases with soil thawing (the LH increases), which has a considerable magnitude with SH in spring. The results from observations further confirmed this feature (Ge et al., 2016).

A distinct feature of the soil freeze–thaw (FT) process is the soil water phase change, which is distinguished from the unfrozen soil. As the soils freeze and their liquid water content decreases, a strong gradient in the matric potential develops, which drives the water toward the freezing front (Zhang et al., 2007; Swenson et al., 2012); while the soil is completely frozen, a small amount of soil liquid water, called “supercooled water,” exists (Niu and Yang, 2007), with the soil thawing rapidly in spring as the soil moisture increases. A recent study from observations and model simulations over TP suggested that the soil FT process has a water storage effect. The storage index (SI), which is defined as the ratio between soil moisture after soil thawing and soil moisture before soil freezing, is used to quantify the water storage capability of soil during the FT process. It can reach up to 0.95 over TP (Yang and Wang, 2019b). Missing the soil FT process could result in drier soil (the loss of soil moisture is about 10%) because of the enhanced evaporation in the after-thaw (AT) period (i.e., spring). The land surface processes (i.e., land–atmosphere energy exchange) in cases of frozen soil and unfrozen soil are remarkably different. Variations of soil temperature and soil moisture further influence the surface diabatic heating status. A model simulation showed that, without the FT process, the mean surface latent heat flux and surface sensible heat flux over the whole TP can decrease by −1.07 W m^–2 and increased by 4.72 W m^–2, respectively (Figure 2). Overall, the influence of the FT process on the soil moisture in spring is achieved through the water storage effect of FT.

Figure 2. Schematic diagram summarizing the impacts of soil freeze–thaw (FT) process on surface diabatic heating over Tibetan Plateau (TP). This diagram illustrates that soil moisture varies before freeze, FT, and after thaw (AT) periods, soil FT process has a water storage effect, and the storage index (SI) can reach 0.95 ± 0.06 at surface soil layer. Without the soil frozen process, the loss of soil moisture during AT period would be 10%, which further leads to anomalies of surface sensible heat by 4.73 ± 3.81 W/m² and anomalies of surface latent heat by –1.07 ± 3.82 W/m² through persistent soil moisture anomalies (Yang and Wang, 2019b). The map of the frozen soil over TP, including permafrost and seasonally frozen ground, comes from Li and Cheng (1996).

Along with the soil FT process, the soil moisture, the soil temperature, and the surface diabatic heating vary dramatically. Figure 3A shows the evolution of soil moisture, precipitation, and surface SH flux and surface LH flux based on the daily in situ observation data in Maqu, with the thawing of frozen ground, soil moisture content, and LH increase. In particular, the increase of LH has a considerable magnitude with SH in spring; about a month later, the LH continues to increase and becomes dominant, while the SH decreases, which is related to the coming of the rainy season over the eastern TP. Studies (e.g., Yang et al., 2002; Wang and Shang, 2007) suggested that the increase of soil moisture caused by the thawing of frozen ground about 20 days ago results in the onset of the subsequent rainy season of TP (Figure 3B) due to the supplement of abundant water vapor from surface evaporation. This implies that the thawing of frozen ground has an important role in the transition from dry season to wet season as well as the seasonal variations of surface diabatic heating over TP. The impacts of SM-FT on the coming of the wet season over TP can also be seen from the features of the clouds and the convection during the pre-onset periods of ASM. For instance, the results of Wang and Wang (2016) suggested that the frequency of a deep convective cloud increases rapidly after onset of the South Asian summer monsoon (SASM), which is attributed to the SM-FT process and the increase of surface diabatic heating (Wang et al., 2009a).

Figure 3. (A) Evolution of the in situ observation of soil moisture (SM), precipitation (Pr), surface sensible heat (SH), and surface latent heat (LH) in Maqu; the gray dashed line indicates the date of soil complete thaw (days = 82). (B) Lagging correlations (r) between soil moisture and precipitation in TTH during spring in year 1998 (black solid line) and 1999 (gray dash line); the red dashed line represents the lagging days (=20) by which r in both 1998 and 1999 passes the Student t significant test (p < 0.05). This figure is based on the data in Wang and Shang (2007).

Snow over TP is a dominant factor that influences the surface diabatic heating through its albedo effect and hydrological effect (Barnett et al., 1989). The snow cover over TP has evident spatial and temporal variations (Wang et al., 2009c; Wang Z. et al., 2017; Bo et al., 2015). Studies suggested that variations in the spatial distribution of snow cover over TP induce the change of energy and water exchanges between land and atmosphere, thereby affecting surface diabatic heating and changing thermal forcing of TP to the atmosphere (Zhang and Tao, 2001; Zhu and Ding, 2007). Wang and Cui (2011) suggested that due to the cooling effect of snow cover over TP by albedo, the difference between surface and air temperature (T_s-T_a) presents a decreasing trend in April. The stronger winter–spring snow cover over TP would lead to the colder anomalies of surface temperature due to the increase of albedo; both the SH and the LH decrease before the snow is completely melted. Studies suggested that the hydrological effects are dominant and far more important than the direct thermal or albedo effect (Barnett et al., 2005; Xu and Dirmeyer, 2012). The snow melting favors the increase of soil moisture and results in the increase of latent heat flux, the decrease of sensible heat flux, and cooler surface; the surface diabatic heating anomalies persistently affect the atmospheric circulation until the summer (Barnett et al., 1989; Yasunari et al., 1991; Qian et al., 2003a; Wang C. et al., 2017).

Connections Between SM-FT Over TP and ASM Activity

Many studies have emphasized on the contribution of TP thermal forcing to ASM (e.g., Ye et al., 1957; Ye and Gao, 1979; Wu and Zhang, 1998; Ye and Wu, 1998; Duan et al., 2005; Wu et al., 2012b; Cui et al., 2017). The changes of TP thermal forcing depend on the complex land surface process (e.g., SM-FT), which could influence the energy and water exchanges between land and atmosphere. There should be a connection between the SM-FT process over TP and the ASM activity.

An earlier study (Wang et al., 2003) suggested that the FT process over TP has significant impacts on the surrounding atmospheric circulations and is closely related with the summer precipitation in EC. As shown in Figure 4, the variation of the South China Sea summer monsoon is negatively correlated with the anomalies of soil frozen periods over TP (Shang and Wang, 2006). For instance, when the soil frozen period persists longer, the South China Sea Summer Monsoon would be weaker. Recent studies (Yang and Wang, 2019b, a) also indicated that the soil moisture memory calculated by the backward lagged correlation can reach up to 240 days (Figure 5A). This means that the soil moisture over TP during the preceding autumn (PSON) can persist up to spring (MAM), which is related to the soil FT process; the model simulation can also reproduce this persistence (Figure 5B). Similar as the spring soil moisture, the wetter soil moisture anomalies during PSON can lead to more precipitation over the Yangtze River Basin (YRB) and northeast China and less precipitation in south China and the Yellow River basin (Figure 5B); this corresponds to weak EASM. According to the water storage effect of the FT process, the mechanism associated with the impacts of the FT process over TP on EASM can be explained as follows: when the soil frozen periods are longer, more soil moisture anomalies can persist up to spring and favor the wetter anomalies of spring soil moisture; this would lead to weaker EASM. These results are consistent with the patterns of summer precipitation anomalies corresponding to the wetter spring soil moisture over TP (Wang et al., 2000, 2003; Chow et al., 2008; Li and Wang, 2016; Yang and Wang, 2019a).

Figure 4. (A) Changes in the anomalies of soil freezing days (blue solid line) and South China Sea summer monsoon index (red dashed line). (B) Correlation between the anomalies of soil freezing days and the anomalies of South China Sea summer monsoon index (Shang and Wang, 2006).

Figure 5. Seasonal persistence of soil moisture anomalies and its impacts on summer precipitation in Eastern China (EC) (Yang and Wang, 2019a). (A) Soil moisture memory, which is defined as the lagged days when the autocorrelation of soil moisture does not pass significant test at 0.01. (B) Patterns of soil moisture anomalies during preceding autumn (PSON), preceding winter (PDJF), and spring (MAM), when soil moisture is increased over the eastern region of the Tibetan Plateau (rectangular box). (C) Corresponding pattern of summer precipitation anomalies (mm/day) in EC to the soil moisture anomalies in panel (B).

The relationship between the anomalies of snow cover over TP and the ASM activity has been demonstrated by many studies (e.g., Chen, 1997, 1998, 2001; Chen and Wu, 2000; Qian et al., 2003a; Wu and Qian, 2003; Zhang et al., 2004; Wang et al., 2015). Many studies have demonstrated that there is a close relationship between snow cover over TP and EASM activity (Luo, 1995; Chen and Wu, 2000; Zhang and Tao, 2001; Xiao and Duan, 2016; Duan et al., 2018; You et al., 2020). For example, a heavier snow cover over TP can lead to a late onset of EASM and weaken the intensity of EASM. As a result, summer precipitation is less in south China and summer precipitation is more in the YRB (e.g., the flood occurs in YRB in 1998). The SASM is also a significant part of the ASM system, which has long been recognized to be influenced by snow cover over TP (Blanford, 1884; Chen and Wu, 2000; Fasullo, 2004; Brown and Mote, 2009; Dugam et al., 2009; Duan et al., 2014, 2018).

To explore the spatiotemporal variations of snow over TP and its relationship with ASM, Figure 6 shows the distribution of standard deviation and climatological mean of snow depth in the cold season and the evaluations of a standardized series of snow depth averaged over southern TP (STP) and northern TP (NTP) based on a dataset derived from SMMR, SSM/I, and AMSR-E passive microwave remote sensing data (Che et al., 2008). The snow over TP distributes mainly over southeastern TP, Himalaya, Kunlun, and Qilian Mountains. The standard deviations (interannual variations) of snow depth over the whole TP are considerable (Figure 6A). The seasonal variations of winter–spring snow cover over TP contain the snow melting to some extent. Soil moisture anomalies may contain the information of snow anomalies in the preceding winter and spring through the snow melting process (Barnett et al., 1989; Yasunari et al., 1991; Qian et al., 2003a). Due to the complex underlying land surface (e.g., topography and vegetation type), there should be a great difference in spatial variations of snow cover. As shown in Figure 6B, the interannual and interdecadal variations of snow depth over STP and NTP have distinct differences (Figure 6B). The difference of snow depth between NTP and STP has a significant correlation with the East Asian Summer Monsoon Index. This indicates that the impacts of the spatiotemporal anomalies of snow over TP on the ASM system are significant.

Figure 6. (A) Distribution of stand deviation (color) and climatological mean (1981–2010; contour, interval is 4 cm) of snow depth over the Tibetan Plateau (TP) in the cold season (defined as the duration from November to April in the next year), regions surrounded by the blue dashed lines and red solid lines indicate the southern TP (STP) and northern TP (NTP), respectively. (B) Evaluations of standardized series of snow depth averaged over STP and NTP. (C) Evaluations of standardized series of snow depth differences between STP and NTP (N-STP) and East Asian summer monsoon index (EASMI) [defined by Li and Zeng (2001)]. The snow depth dataset is derived from SMMR, SSM/I, and AMSR-E passive microwave remote sensing data (Che et al., 2008).

Observations and numerical simulations have suggested that there is a strong positive correlation between winter snow cover and subsequent summer precipitation over the middle and the lower reaches of the Yangtze River valley (Chen, 1998, 2001; Wu and Qian, 2003). Recent studies (Wang C. et al., 2017; Yang et al., 2017) showed that the heavier snow cover during spring–winter over STP and NTP can lead to different patterns of summer precipitation in EC. Figure 7 shows the percentage distributions of precipitation anomalies based on the daily precipitation data collected from 756 observation stations of the Chinese Meteorological Administration in a typical year of TP winter–spring heavier snow cover in STP and NST and the corresponding model simulations of summer precipitation anomalies by increasing surface albedo in STP and NTP during the period from November to March of the next year (Wang C. et al., 2017), with heavier snow cover in the southern TP corresponding to the weakened ASM and the stronger summer precipitation in the Yangtze River basin, but less summer precipitation in south China (Figure 7A); when snow is heavier in the northern TP, the ASM is enhanced. The summer precipitations in the YRB and north China become less and more, respectively, along with the northward shift of the rain belt (Figure 7C). Numerical simulations further confirm these patterns of summer precipitation anomalies in EC (Figures 7B,D). Results about the relation between winter–spring snow cover over TP and summer precipitation in EC have been applied in the operational summer climate prediction in China in the past years (Wang and Geng, 2012) and have achieved much success.

Figure 7. The percentage distributions of precipitation anomalies (%; compared to 1981–2010 climatology) based on the daily precipitation data collected from 756 observation stations of the Chinese Meteorological Administration in a typical year of the Tibetan Plateau (TP) heavier snow cover in (A) southern TP (1987, which corresponds to weak Asian summer monsoon) and (C) northern TP (1990, which corresponds to strong Asian summer monsoon). The patterns of summer precipitation anomalies (sensitive experiments minus control experiment; mm/day) in Eastern China (EC) from a (B) sensitive experiment with heavier snow in southern TP and a (D) sensitive experiment with heavier snow in northern TP. The anomalies over the region with black crosses are statistically significant at 90% level under Student’s t test (Wang C. et al., 2017).

Possible Mechanisms Associated With the Climatic Effects of the SM-FT Process

Many studies have explored the physical mechanism by which TP thermal forcing affects the atmospheric circulation in East Asia (e.g., Wu and Qian, 2003; Wang B. et al., 2008; Wu et al., 2012a; Duan et al., 2014). For example, rising TP temperatures can trigger two distinct Rossby wave trains along the upper-level westerly jet and the low-level monsoon westerly, respectively, which propagate toward the downstream regions and enhance the low-level anticyclonic ridge (Wang B. et al., 2008). Wang et al. (2009a) indicated that surface diabatic heating over TP can enhance the low-frequency waves and force these to move northward and southward from TP. Li and Mao (2018) showed that the intra-seasonal Rossby wave train along the Asian westerly jet presents as the anomalous anticyclone over TP, which is located between anomalous cyclones in the upstream and the downstream areas, tending to trigger another reversed vertical–meridional cell with updraft over the south of the middle and the lower reaches of the Yangtze River valley (SMLY) and downdraft to the north through vorticity advection.

The thermal forcing anomalies of TP have direct impacts on the atmospheric circulation over TP and its surrounding regions, for instance, the vertical monsoon cell around TP and the westerly winds at the northern TP, which are the important systems of ASM (e.g., Ye and Wu, 1998; Schiemann et al., 2009). Recent studies (Wang C. et al., 2017; Yang et al., 2017) suggested that the negative anomalies of surface diabatic heating over TP induced by a heavier snow cover lead to the weakening of the ascent of the monsoon cell, the meridional temperature gradient over the northern TP and the mid-latitude westerlies. In addition, the position of the westerly jet at the downstream exit region also shifts southward because of the negative anomalies of surface diabatic heating over TP, which corresponds to low-level anomalous anticyclone over South China Sea and changes the water vapor transport in EC. When soil moisture anomalies induced by the FT process are wetter over TP, the physical mechanism explained by the anomalies of mid-latitude westerlies is also consistent (Yang and Wang, 2019a). By reviewing the previous studies (e.g., Yanai et al., 1992; Zhang and Tao, 2001; Qian et al., 2003a,b; Wang et al., 2003; Wu and Qian, 2003; Zhang et al., 2004; Shang and Wang, 2006; Wang and Shang, 2007; Zhu and Ding, 2007; Zhang and Zuo, 2011; Xiao and Duan, 2016; Wang C. et al., 2017; Yang and Wang, 2019b,a; You et al., 2020), the schematic diagram of the physical mechanism associated with the impacts of surface diabatic heating anomalies induced by the SM-FT process anomalies on EASM is depicted in Figure 8.

Figure 8. Schematic diagram of the physical mechanism associated with the impacts of surface diabatic heating anomalies induced by snow melting and freeze–thaw anomalies on East Asian summer monsoon. This is a summary graphic derived from previous studies (i.e., ①: Wang and Shang, 2007; Yang and Wang, 2019a; ②, ③: Seneviratne et al., 2010; Zhang and Zuo, 2011; Yang and Wang, 2019b; ④, ⑤, ⑥, ⑦: Zhang and Tao, 2001; Qian et al., 2003a, b; Xiao and Duan, 2016; Wang C. et al., 2017; Duan et al., 2018; ⑧, ⑨: Yanai et al., 1992; Zhang et al., 2004; Zhu and Ding, 2007; Wang C. et al., 2017; ⑩, ⑪, ⑫: Qian et al., 2003a; Wang et al., 2003; Wu and Qian, 2003; Zhang et al., 2004; Shang and Wang, 2006; Zhu and Ding, 2007; You et al., 2020.

Summary and Prospects

In this review, the robust roles of surface diabatic heating anomalies induced by the SM-FT process over TP in the activities of the ASM system are summarized. The variations of surface diabatic heating over TP are closely related to the SM-FT processes and play prior role in the formation of TP heat source of the atmosphere in spring and summer. The soil freeze–thaw process affects surface diabatic heating through water storage effect, which could result in about 10% change of the soil moisture content and up to 10 W m^–2 anomalies of surface SH and LH. Winter–spring snow cover anomalies over TP lead to the surface diabatic heating anomalies through its albedo cooling effect and hydrological effects. The surface SH over TP shows a decreasing trend, which might be related to the changes of the SM-FT process under the warming background.

The SM-FT process over TP has a significant relation with the ASM activity. There is a negative correlation between the anomalies of soil frozen periods and South China Sea summer monsoon. The impacts of soil FT process over TP on the surrounding atmospheric circulation are through its effects on soil moisture anomalies. The winter–spring snow cover over TP has a significant negative relationship with the onset of ASM; the spatiotemporal anomalies of snow cover over the northern TP and the southern TP have distinct different impacts on ASM system, which is an effective signal in the seasonal prediction of summer precipitation in EC.

The possible physical mechanism associated with the impacts of the SM-FT process on the atmospheric circulation in East Asia is summarized as follows: the positive (negative) anomalies of surface diabatic heating over TP induced by the anomalous SM-FT could weaken (enhance) the ascent of the TP monsoon cell and lead to the southward (northward) position of the westerly jet at the downstream exit region. These further influence the belt of summer precipitation in EC. The TP thermal forcing anomalies affect the atmospheric circulation over the downstream region through the anomalous Rossby wave propagation.

The impacts of the soil freeze–thaw process and snow melting over TP on the ASM system have achieved much progress in the past decades. However, the uncertainties of surface diabatic heating estimation over TP still restrict our understanding on the thermal forcing effects of TP, especially over the western TP where the in situ observations are sparse and satellite retrievals are unreliable. Currently, the parameterization of the SM-FT processes in a numerical model still has great uncertainties, which partly results in the disagreement in model simulations of climate over TP and East Asia. How to accurately estimate the surface diabatic heating of TP by reasonably depicting the SM-FT processes is still the challenge in a future study.

Author Contributions

CW designed the study, contributed to the idea, and completed the manuscript writing. KY contributed to the data analysis and manuscript writing. FZ contributed to the manuscript review.

Funding

This work was supported by the project “Changes in the Land–Atmosphere Coupling System on the Tibetan Plateau and Its Global Climate Effects,” funded by the National Natural Science Foundation of China (91837205), and the National Natural Science Foundation of China (41661144017, 41801015, and 41805032).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References