Review ArticleElevation dependent warming over the Tibetan Plateau: Patterns, mechanisms and perspectives
Introduction
The Tibetan Plateau (TP hereafter, Fig. 1), mostly lying above 4000 m, is the highest and largest plateau in the world, often called “Third Pole” and “the roof of the world” (Kang et al., 2010; Kang et al., 2019; Pithan, 2010; Qiu, 2008, Qiu, 2016; Yang et al., 2019; Yao et al., 2019). Due to its high terrain, the TP is important for biodiversity conservation, carbon balance and other environmental issues (Ghatak et al., 2014; Kang et al., 2019; Sun et al., 2018; Yang et al., 2010; Yang et al., 2019; Yao et al., 2019). The TP contains the largest fresh water resource stored in cryosphere (snow, glacier and permafrost) outside the polar regions, and is often referred to as the “Asian water tower”. It is the birthplace of the great rivers of Asia, such as the Yangtze, the Yellow River, the Ganges and Indus Rivers, and is also the source of many inland rivers, providing fresh water for more than 1.4 billion people over the region and South/East Asia as a whole (Duan and Xiao, 2015; Immerzeel and Bierkens, 2012; Immerzeel et al., 2010; Kang et al., 2010; Qiu, 2008; Yao et al., 2012b). Understanding climate changes over the TP also has consequences beyond the immediate environment of the plateau itself. The uplift of the TP enhanced the Asian summer monsoon by enlarging thermal differences between land and sea, and future warming may influence the monsoonal system (Kang et al., 2010; Zhang et al., 2015). Further, the TP provides important ecosystem services, with numerous benefits for people including water resources, tourism, varied ecosystems and their contributions to human well-being (Chen et al., 2015b; Chen et al., 2017; Grizzetti et al., 2016; Qin et al., 2002; Yao and Coauthors, 2017a, Yao and Coauthors, 2017b, Yao and Coauthors, 2017c; Zhang et al., 2015). Broader environmental responses to recent rapid warming, including glacier melt, permafrost degradation, desertification in some areas and flooding in others, changing ecological systems and increased natural disasters such as landslides and glacial lake outburst floods, are known to be occurring to a high degree of confidence over the TP (Kang et al., 2010; Kuang and Jiao, 2016; Thakuri et al., 2016; You et al., 2016; You et al., 2013; You et al., 2017; You et al., 2020). The TP is recognized as a potentially vulnerable area in terms of its ecological environment and future development needs to understand environmental issues such as climate change (Barnett et al., 2005; Gao et al., 2019; Immerzeel and Bierkens, 2012; Immerzeel et al., 2010; Yao and Coauthors, 2017b, Yao and Coauthors, 2017c).
In recent decades, climate change over the TP and its surrounding areas has become a source of debate, which makes it being one of the hotspots in the global field of geosciences (Chen et al., 2015b; Chen et al., 2017; Ding and Zhang, 2008; Duan et al., 2016; Liu and Hou, 1998; Liu et al., 1998; Liu et al., 2008; Minder et al., 2016; Qin et al., 2002; Wu et al., 2004; Wu et al., 2013; Xu et al., 2015; Yao and Coauthors, 2017b, Yao and Coauthors, 2017c). Since the turn of the 20th/21st century, a strong warming trend over the TP is evident, synchronizing with the global warming trend (Cuo et al., 2013; Yao et al., 2012a; Yao et al., 2015; Yao et al., 2012b). Significant warming of the TP has been shown through analysis of ground observation stations (Duan and Wu, 2006; Duan and Xiao, 2015; Liu and Hou, 1998; Liu and Chen, 2000; You et al., 2008; You et al., 2013; You et al., 2017), remotely sensed satellite data (Cai et al., 2017; Pepin et al., 2019; Qin et al., 2009), paleoclimate proxy indicators (Kang et al., 2007; Thompson et al., 2018; Yao et al., 2012b) and climate models (Chen et al., 2003; Chen et al., 2015a; Yan et al., 2016; You et al., 2016; You et al., 2020). The warming over the TP has accelerated in the second half of the 20th century (the early 1950s), somewhat earlier than that of the Northern Hemisphere as a whole (the mid-1970s) (Kang et al., 2010; Liu and Hou, 1998; Liu and Chen, 2000). During 1955–1996, the warming rate of the TP was highest in winter and autumn (+0.32 and + 0.17 °C/decade, respectively) (Liu and Chen, 2000). Seasonal variations in warming rate are common, and the warming rate in winter being twice that of the annual average is consistent with findings in other regions (Chen et al., 2003; Kang et al., 2010; Krishnan et al., 2019). A later analysis showed that the annual warming rate ranges from +0.16 to +0.36 °C/decade since the 1950s but +0.50 to +0.67 °C/decade from the 1980s (Kuang and Jiao, 2016). The warming rate has also been spatially heterogeneous across space and time periods. The northern TP experienced more warming than the southern TP in all seasons from 1982 to 1998, while the pattern was reversed in the period from 1998 to 2015 (Liu et al., 2019).
Elevation dependent warming (EDW) refers to the phenomenon that the warming rate changes systematically with elevation. The warming rate does not necessarily increase monotonically with elevation, although it sometimes does (Diaz and Bradley, 1997; IPCC, 2019; Pepin and Coauthors, 2015a; Rangwala and Miller, 2012; Rangwala et al., 2010). Table 1 lists previous studies on EDW including information on time period, elevation range and the number of stations considered in various mountain regions, including examples from the Swiss Alps, Rocky Mountains, Andes Mountains, the Kilimanjaro, and the TP and Himalayas (Fig. 1). EDW could also have a significant impact on the conservation of the cryosphere at high elevations and associated runoff, ecosystem stability and agricultural production. Further, EDW could disproportionately restrict species that are dependent on high elevation habitats for survival. EDW has consequences for changes in the fractional distribution of solid and liquid precipitation (e.g. the elevation of the rain vs snow line) as well as melting rates of glacial deposits, ultimately affecting streamflow and water resources downstream (Bolch et al., 2012; Dimri et al., 2018; Gao et al., 2018; Immerzeel and Bierkens, 2012; Pepin and Coauthors, 2015b). EDW has therefore become an important issue for high mountain areas (Table 1), and studies at global and regional scales show that there are significant spatial differences in its manifestation (Gao et al., 2018; Kotlarski et al., 2012; Liu et al., 2008; Pepin and Coauthors, 2015a; Rangwala and Miller, 2012). Taking the results as a whole, it is clear that the majority of these studies suggest an EDW in both observations and climate models, but with strong seasonality in some regions (Table 1). Existing studies on EDW over the TP have focused on certain aspects of this complex issue (Table 1), due to limitations in surface observations, the relatively recent development of the surface meteorological network over the TP, and uncertainties/limitations associated with methods of quantification.
We review recent studies on EDW over the TP in Section 2. Physical mechanisms are discussed in Section 3. Section 4 summarizes new perspectives and unanswered questions. This review has important theoretical and practical significance, aiming to providing a historical reference for understanding EDW and its consequences over the TP.
Section snippets
Annual and seasonal patterns of EDW in observations
Different conclusions have emerged concerning patterns of EDW over the TP based on in situ observations, which often vary by season and the number of stations (Table 2). One of the earliest analyses (Liu and Hou, 1998) based on 165 stations over the TP and its surroundings for 1961–1990 (Fig. 1 bottom panel), revealed that the annual temperature trends were 0.00, 0.11, 0.12, 0.19 and 0.25 °C/decade for areas <500, 500–1500, 1500–2500, 2500–3500 and >3500 m, respectively (Liu and Hou, 1998),
Physical mechanisms controlling EDW over the TP
There are a number of physical mechanisms that can produce enhanced warming rates in certain elevation bands over the TP. Table 3 describes the specific responses and the underlying physical mechanisms along with more detailed seasonal and diurnal responses based on changes in relevant climate drivers over the TP. More details on the underlying these physical mechanisms are discussed in the following sub-sections.
Can climate models realistically simulate profiles of EDW?
EDW has strong significance for climate change in mountain regions, and the question has been raised as to whether models which simulate observed patterns of EDW more successfully, may be more suitable for future mountain predictions (Pepin and Lundquist, 2008; Pepin and Coauthors, 2015a; Pepin et al., 2019; You et al., 2019). Nearly all climate models suggest that enhanced warming with elevation is a feature of future mountain warming during the first half of the 21st century, but the amount
Summary
This review aims to synthesize the state of knowledge on EDW over the TP. We have examined recent assessments of EDW using multiple datasets and aevaluated the relative importance of various physical mechanisms in explaining patterns of EDW (Table 3). Further, the review contributes to outlining new perspectives on EDW and highlighting current research gaps related to EDW over the TP.
The main findings can be summarized as follows:
(1) The TP and its surrounding areas are experiencing rapid
Declaration of Competing Interest
The authors declared that they have no conflicts of interest to this work. We declare that we do not have any commercial or associative interest that represents a conflict of interest in connection with the work submitted.
Acknowledgments
This study is supported by the Second Tibetan Plateau Scientific Expedition and Research (STEP) program (2019QZKK0105) and National Natural Science Foundation of China (41971072, 41771069 and 41911530187). The authors thank the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDA20060401) and Royal Society-Newton Mobility Grant (IEC\NSFC\181093). We are very grateful to the reviewers for their constructive comments and thoughtful suggestions.
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