{"title":"青藏高原夏季湖泊地表水温变化趋势及其对气候变化的响应","authors":"Yi Shi, Anning Huang, Yang Wu, Lazhu, Lijuan Wen","doi":"10.1029/2024EA003910","DOIUrl":null,"url":null,"abstract":"<p>The Tibetan Plateau (TP) is covered by numerous lakes, and lake surface water temperature (LSWT) is an essential indicator of climate change, while few observations hinder our understanding of LSWT variation and its causes over TP. This study aims to simulate the summer LSWT long-term trends of 81 TP lakes during 1980–2018 and quantify the impacts and contributions of atmospheric variables. Results show that TP lakes warmed with 0.32°C decade<sup>−1</sup> on average. Northern TP lakes warmed faster than the southern ones (0.44 vs. 0.16°C decade<sup>−1</sup>) due to stronger trends of atmospheric variables and higher sensitive of colder lakes to atmospheric changes. 55 (67.9%) lakes of the total lakes studied in current work warmed slower than air due to weakened shortwave radiation (SW<sub>↓</sub>). Attribution analysis suggests that the air warming and wetting over TP dominate lakes' warming. Regarding synthesis contributions, air warming contributed 79.3%, with increased surface air temperature (SAT) and downward longwave radiation (LW<sub>↓</sub>) accounting for 41.6% and 37.7%, respectively, and air wetting indicated by increased surface specific humidity (SSH) contributed 39.0%, followed by a positive contribution (16.8%) from declined wind speed (WS). The negative contribution (−35.1%) from weakened SW<sub>↓</sub> nearly counterbalances the positive effects of increased LW<sub>↓</sub>. 55.1% of the total synthesis contribution arises from the cross contribution through interactions among atmospheric variables and is mainly reflected in SAT and SSH, accounting for 26.8% and 24.8%, respectively. The findings enhance understanding of climate change impacts on lake systems and offer insights for lake resource management.</p>","PeriodicalId":54286,"journal":{"name":"Earth and Space Science","volume":"11 12","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EA003910","citationCount":"0","resultStr":"{\"title\":\"Trends of Summer Lake Surface Water Temperature on the Tibetan Plateau and Their Response to Climate Change\",\"authors\":\"Yi Shi, Anning Huang, Yang Wu, Lazhu, Lijuan Wen\",\"doi\":\"10.1029/2024EA003910\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The Tibetan Plateau (TP) is covered by numerous lakes, and lake surface water temperature (LSWT) is an essential indicator of climate change, while few observations hinder our understanding of LSWT variation and its causes over TP. This study aims to simulate the summer LSWT long-term trends of 81 TP lakes during 1980–2018 and quantify the impacts and contributions of atmospheric variables. Results show that TP lakes warmed with 0.32°C decade<sup>−1</sup> on average. Northern TP lakes warmed faster than the southern ones (0.44 vs. 0.16°C decade<sup>−1</sup>) due to stronger trends of atmospheric variables and higher sensitive of colder lakes to atmospheric changes. 55 (67.9%) lakes of the total lakes studied in current work warmed slower than air due to weakened shortwave radiation (SW<sub>↓</sub>). Attribution analysis suggests that the air warming and wetting over TP dominate lakes' warming. Regarding synthesis contributions, air warming contributed 79.3%, with increased surface air temperature (SAT) and downward longwave radiation (LW<sub>↓</sub>) accounting for 41.6% and 37.7%, respectively, and air wetting indicated by increased surface specific humidity (SSH) contributed 39.0%, followed by a positive contribution (16.8%) from declined wind speed (WS). The negative contribution (−35.1%) from weakened SW<sub>↓</sub> nearly counterbalances the positive effects of increased LW<sub>↓</sub>. 55.1% of the total synthesis contribution arises from the cross contribution through interactions among atmospheric variables and is mainly reflected in SAT and SSH, accounting for 26.8% and 24.8%, respectively. 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引用次数: 0
摘要
青藏高原湖泊覆盖面积大,湖泊地表温度是气候变化的重要指标,但观测资料较少,阻碍了我们对青藏高原地表温度变化及其原因的认识。本研究旨在模拟1980—2018年81个TP湖泊夏季LSWT的长期趋势,量化大气变量的影响和贡献。结果表明,青藏高原湖泊平均升温幅度为0.32°C。由于大气变量的变化趋势更强,较冷湖泊对大气变化的敏感性更高,北部TP湖泊比南部湖泊升温更快(0.44 vs 0.16°C 10−1)。由于短波辐射减弱(SW↓),目前研究的湖泊中有55个(67.9%)湖泊的升温速度比空气慢。归因分析表明,青藏高原上空的空气增暖和湿润主导了湖泊增暖。在综合贡献中,空气增温贡献占79.3%,其中地表气温(SAT)升高和向下长波辐射(LW↓)分别占41.6%和37.7%,地表比湿度(SSH)增加所表现的空气润湿贡献占39.0%,其次是风速(WS)下降的正贡献(16.8%)。减弱的SW↓的负贡献(- 35.1%)几乎抵消了增加的LW↓的正影响。总合成贡献的55.1%来自于大气变量间相互作用的交叉贡献,主要体现在SAT和SSH,分别占26.8%和24.8%。这一发现增强了对气候变化对湖泊系统影响的认识,并为湖泊资源管理提供了见解。
Trends of Summer Lake Surface Water Temperature on the Tibetan Plateau and Their Response to Climate Change
The Tibetan Plateau (TP) is covered by numerous lakes, and lake surface water temperature (LSWT) is an essential indicator of climate change, while few observations hinder our understanding of LSWT variation and its causes over TP. This study aims to simulate the summer LSWT long-term trends of 81 TP lakes during 1980–2018 and quantify the impacts and contributions of atmospheric variables. Results show that TP lakes warmed with 0.32°C decade−1 on average. Northern TP lakes warmed faster than the southern ones (0.44 vs. 0.16°C decade−1) due to stronger trends of atmospheric variables and higher sensitive of colder lakes to atmospheric changes. 55 (67.9%) lakes of the total lakes studied in current work warmed slower than air due to weakened shortwave radiation (SW↓). Attribution analysis suggests that the air warming and wetting over TP dominate lakes' warming. Regarding synthesis contributions, air warming contributed 79.3%, with increased surface air temperature (SAT) and downward longwave radiation (LW↓) accounting for 41.6% and 37.7%, respectively, and air wetting indicated by increased surface specific humidity (SSH) contributed 39.0%, followed by a positive contribution (16.8%) from declined wind speed (WS). The negative contribution (−35.1%) from weakened SW↓ nearly counterbalances the positive effects of increased LW↓. 55.1% of the total synthesis contribution arises from the cross contribution through interactions among atmospheric variables and is mainly reflected in SAT and SSH, accounting for 26.8% and 24.8%, respectively. The findings enhance understanding of climate change impacts on lake systems and offer insights for lake resource management.
期刊介绍:
Marking AGU’s second new open access journal in the last 12 months, Earth and Space Science is the only journal that reflects the expansive range of science represented by AGU’s 62,000 members, including all of the Earth, planetary, and space sciences, and related fields in environmental science, geoengineering, space engineering, and biogeochemistry.