Spatio‐temporal variations of nonlinear trends of precipitation over an arid region of northwest China according to the extreme‐point symmetric mode decomposition method

机译：基于极端对称模式分解方法，西北地区干旱地区降水的非线性趋势的时空变化

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ABSTRACT > Climate systems have both nonlinear and non‐stationary characteristics, and it is important to develop methods to reveal the nonlinear trends in these systems. Based on synthetic data with known signals and a precipitation anomaly time series from 74 meteorological stations in an arid region of northwest China (ARNC) from 1960 to 2015, the latest extreme‐point symmetric mode decomposition (ESMD) and ensemble empirical mode decomposition (EEMD) methods were employed to conduct multi‐scale mode decomposition. The results showed that both the ESMD and EEMD methods can separate synthetic signals and extract the nonlinear trends of precipitation in ARNC and can thus provide reliable decomposition results. This article employed the ESMD method to analyse the spatial and temporal variation features of nonlinear precipitation trends in ARNC from 1960 to 2015. The results indicated that over the past 50+ years, the overall precipitation in ARNC has exhibited an apparent nonlinear upwards trend. In addition, its changes have exhibited oscillation periods of 3, 6, and 11?years. The periods of the three components are significant ( <fi>p</fi> ?<?0.05), and the variance contribution rate of the first intrinsic mode function (IMF1) is the largest, reaching 58%. Furthermore, there are obvious spatial differences in the nonlinear trends of average annual precipitation: northern Xinjiang has had a mainly rising trend; southern Xinjiang has had mainly rising and decreasing–rising trends; and the precipitation changes in the Hexi Corridor have been quite complicated. The ESMD method can reflect integrated changes in the nonlinear trends of precipitation over different time scales and has important practical significance and scientific value for revealing the complicated structural features of climate systems. </p </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> <div class="translation abstracttxt"> <span class="zhankaihshouqi fivelineshidden" id="abstract"> <span>机译：</span><Abstract XMLNS =“http://www.wiley.com/namespaces/wiley”type =“main”xml：lang =“en”> <title type =“main”>抽象</ title> >气候系统具有非线性和非稳定性的特性，并且可以开发方法以揭示这些系统中的非线性趋势。基于具有已知信号的合成数据和从1960年到2015年的西北地区干旱地区的74个气象站和降水异常时间序列，最新的极端对称模式分解（ESMD）和集合经验模式分解（EEMD ）采用方法进行多尺度模式分解。结果表明，ESMD和EEMD方法都可以分离合成信号并提取ARNC中沉淀的非线性趋势，因此可以提供可靠的分解结果。本文聘请了ESMD方法，分析了1960年至2015年ARNC中非线性降水趋势的空间和时间变化特征。结果表明，在过去的50年内，ARNC的整体降水表现出明显的非线性上升趋势。此外，其变化表现出3,6和11年的振荡周期。三种组分的时期是显着的（<FI> P </ FI>？<？0.05），并且第一个固有模式功能（IMF1）的方差贡献率最大，达到58％。此外，平均年降水量的非线性趋势存在明显的空间差异：新疆北部具有主要潮流;南新疆南部主要崛起和下降趋势;河西走廊的降水变化已经很复杂。 ESMD方法可以反映不同时间尺度的沉淀非线性趋势的一体化变化，具有重要的实际意义和科学价值，揭示气候系统的复杂结构特征。 </ P. </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> </div> <div class="record"> <h2 class="all_title" id="enpatent33" >著录项</h2> <ul> <li> <span class="lefttit">来源</span> <div style="width: 86%;vertical-align: text-top;display: inline-block;"> <a href='/journal-foreign-21026/'>《International Journal of Climatology: A Journal of the Royal Meteorological Society》</a> <b style="margin: 0 2px;">|</b><span>2018年第5期</span><b style="margin: 0 2px;">|</b><span>共11页</span> </div> </li> <li> <div class="author"> <span class="lefttit">作者</span> <p id="fAuthorthree" class="threelineshidden zhankaihshouqi"> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Qin Yanhua&option=202" target="_blank" rel="nofollow">Qin Yanhua;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Li Baofu&option=202" target="_blank" rel="nofollow">Li Baofu;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Chen Zhongsheng&option=202" target="_blank" rel="nofollow">Chen Zhongsheng;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Chen Yaning&option=202" target="_blank" rel="nofollow">Chen Yaning;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Lian Lishu&option=202" target="_blank" rel="nofollow">Lian Lishu;</a> </p> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zkzz" style="display: none;">展开▼</span> </div> </li> <li> <div style="display: flex;"> <span class="lefttit">作者单位</span> <div style="position: relative;margin-left: 3px;max-width: 639px;"> <div class="threelineshidden zhankaihshouqi" id="fOrgthree"> <p>College of Geography and TourismQufu Normal UniversityRizhao China;</p> <p>College of Geography and TourismQufu Normal UniversityRizhao China;</p> <p>College of Land and ResourcesChina West Normal UniversityNanchong China;</p> <p>State Key Laboratory of Desert and Oasis EcologyXinjiang Institute of Ecology and Geography Chinese Academy of SciencesUrumqi China;</p> <p>College of Geography and TourismQufu Normal UniversityRizhao China;</p> </div> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zhdw" style="display: none;">展开▼</span> </div> </div> </li> <li > <span class="lefttit">收录信息</span> <span style="width: 86%;vertical-align: text-top;display: inline-block;"></span> </li> <li> <span class="lefttit">原文格式</span> <span>PDF</span> </li> <li> <span class="lefttit">正文语种</span> <span>eng</span> </li> <li> <span class="lefttit">中图分类</span> <span><a href="https://www.zhangqiaokeyan.com/clc/1232.html" title="气候学">气候学;</a></span> </li> <li class="antistop"> <span class="lefttit">关键词</span> <p style="width: 86%;vertical-align: text-top;"> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=precipitation&option=203" rel="nofollow">precipitation;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=extreme‐point symmetric mode decomposition&option=203" rel="nofollow">extreme‐point symmetric mode decomposition;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=intrinsic mode function&option=203" rel="nofollow">intrinsic mode function;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=nonlinear trend&option=203" rel="nofollow">nonlinear trend;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=arid region of northwest China&option=203" rel="nofollow">arid region of northwest China;</a> </p> <div class="translation"> 机译：降水;极端对称模式分解;内在模式功能;非线性趋势;中国西北地区干旱地区; 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