Evaluating warming trend over the tibetan plateau based on remotely sensed air temperature from 2001 to 2020

IF 4.8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Climatic Change Pub Date : 2024-08-12 DOI:10.1007/s10584-024-03791-6
Yan Xin, Yongming Xu, Xudong Tong, Yaping Mo, Yonghong Liu, Shanyou Zhu
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Abstract

The Tibetan Plateau (TP), the Third Pole of the world, has experienced significant warming over the past several decades. Previous studies have mostly relied on station-observed air temperature (Ta), reanalysis data, and remotely sensed land surface temperature (LST) to analyze the warming trend over the TP. However, the uneven distribution of stations, the poor spatial resolution of reanalysis data, and the differences between LST and Ta may lead to biased warming rates. This paper first maps Ta over the TP from 2001 to 2020 based on multi-source remote sensing data, and then quantifies the spatio-temporal variations of remotely sensed Ta and elevation dependent warming (EDW) of this region. The monthly mean Ta is estimated using machine learning (ML) method year by year, and its accuracy is validated based on station-observed Ta. The coefficient of determination (R2 ranges from 0.97 to 0.98 and the mean absolute error (MAE) ranges from 1.01 to1.04 °C. The remotely sensed Ta is used to analysis warming trend and EDW over the TP. The overall warming trend of the TP during 2001–2020 is 0.17 ℃/10a, and warming mainly distributed in the eastern TP, central TP and western Kunlun Mountains. Among the four seasons, autumn shows the most significant warming, tripling the annual warming rate. Winter shows a significant cooling trend, with the warming rate of -0.18 ℃/10a. The study also reveales the existence of EDW at both the annual and seasonal scales. This paper suggests the potential of remotely sensed Ta in global warming study, and also provides an improved understanding of climate warming over the TP.

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基于 2001 至 2020 年遥感气温评估西藏高原变暖趋势
青藏高原(TP)是世界第三极,在过去几十年中经历了显著的变暖。以往的研究大多依靠观测站观测到的气温(Ta)、再分析数据和遥感地表温度(LST)来分析青藏高原的变暖趋势。然而,由于台站分布不均、再分析数据的空间分辨率较低以及 LST 和 Ta 之间的差异,可能会导致变暖率出现偏差。本文首先基于多源遥感数据绘制了 2001 至 2020 年大洋洲的 Ta 图,然后量化了该地区遥感 Ta 的时空变化和海拔增暖(EDW)。利用机器学习(ML)方法逐年估算月平均 Ta 值,并根据观测站观测到的 Ta 值验证其准确性。判定系数(R2)在 0.97 至 0.98 之间,平均绝对误差(MAE)在 1.01 至 1.04 ℃ 之间。遥感 Ta 被用来分析大洋洲的变暖趋势和 EDW。2001-2020年期间,大洋洲总体变暖趋势为0.17 ℃/10a,变暖主要分布在大洋洲东部、中部和昆仑山西部。在四个季节中,秋季增暖最为显著,年增暖率为原来的三倍。冬季呈现明显的降温趋势,升温速率为-0.18 ℃/10a。研究还揭示了在年度和季节尺度上都存在 EDW。本文提出了遥感地球观测站在全球变暖研究中的潜力,同时也提供了对TP气候变暖的更好理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Climatic Change
Climatic Change 环境科学-环境科学
CiteScore
10.20
自引率
4.20%
发文量
180
审稿时长
7.5 months
期刊介绍: Climatic Change is dedicated to the totality of the problem of climatic variability and change - its descriptions, causes, implications and interactions among these. The purpose of the journal is to provide a means of exchange among those working in different disciplines on problems related to climatic variations. This means that authors have an opportunity to communicate the essence of their studies to people in other climate-related disciplines and to interested non-disciplinarians, as well as to report on research in which the originality is in the combinations of (not necessarily original) work from several disciplines. The journal also includes vigorous editorial and book review sections.
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