Inter‐dependency of wave parameters and directional analysis of ocean wind‐wave climate for the Indian Ocean

机译：海洋风波气候波浪参数的相互依赖性和海洋风波气候

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ABSTRACT xml:id="joc4898-para-0001"> This study investigates inter‐dependency between various wave parameters. It includes the mean wave direction ( <fc>MWD</fc> ), swell <fc>MWD</fc> , wind direction, maximum significant wave height ( <fc>MSWH</fc> ), resultant of wind direction and swell <fc>MWD</fc> , mean wave period ( <fc>MWP</fc> ), and peak wave period ( <fc>PWP</fc> ) using daily data from altimeter measurements, European Centre for Medium‐Range Weather Forecasts ( <fc>ECMWF</fc> ) Re‐Analysis Interim ( <fc>ERA</fc> ‐Interim), and <fc>ERA‐20C</fc> datasets in a changing climate for the past two decades in Indian Ocean region. It also examined the variability in monthly anomalies using linear circular correlation maps. The analysis used quality checked and well calibrated altimeter data from eight satellite missions for <fc>MSWH</fc> , and <fc>WAM</fc> (wave model) output from <fc>ERA</fc> ‐Interim and <fc>ERA‐20C</fc> datasets for other variables. Spatial variability of correlation coefficient maps explained their inter‐dependency. Directional statistics methods explain the directional wave characteristics. Correlation maps signify that regions over the western sectors of Indian Ocean and Bay of Bengal are swell dominant. Over these regions the swell <fc>MWD</fc> clearly dominated the total <fc>MWD</fc> (combined effects from wind‐sea and swells). For regions in Arabian Sea, the resultant of wind direction and swell <fc>MWD</fc> contributed about 91%, whereas contribution from swell <fc>MWD</fc> alone is </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：id =“joc4898-abs-0001”> <标题类型=“main”>抽象</ title> < p XML：ID =“Joc4898-Para-0001”>本研究调查各种波参数之间的依赖关系。它包括平均波方向（<FC> MWD </ FC>），膨胀<FC> MWD </ FC>，风向，最大显波高度（<FC> MSWH </ FC>），有关的风向和膨胀<FC> MWD </ FC>，平均波（<FC> MWP </ FC>），以及使用来自高度计测量的日常数据，欧洲中等数据 - 范围天气预报（<FC> ECMWF </ FC>）重新分析临时（<FC> ERA </ FC> -interim），以及过去两种气候变化的气候中的<FC> ERA-20C </ FC>数据集十几十年在印度洋地区。它还使用线性循环相关图检查了月度异常的可变性。从<FC> MSWH </ FC>的八个卫星任务和<FC> ERA </ FC> -Interim和-interim和-interim和Interim和Intinim和<FC> WAM </ FC>（波模型）输出的八个卫星任务中使用质量检查和良好的校准高度计数据。 <FC> ERA-20C </ FC>其他变量的数据集。相关系数图的空间变异解释了它们的依赖性。方向统计方法解释定向波特性。相关性图表示印度洋和孟加拉湾西部地区的地区膨胀。在这些区域上，膨胀<FC> MWD </ FC>清楚地占据了总<FC> MWD </ FC>（来自风海和膨胀的组合效果）。对于阿拉伯海的地区，风向和膨胀<FC> MWD </ FC>的所得到的约91％，而单独的溶胀<FC> MWD </ FC>的贡献是 </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>2017年第6期</span><b style="margin: 0 2px;">|</b><span>共8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=Gupta Nitika&option=202" target="_blank" rel="nofollow">Gupta Nitika;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Bhaskaran Prasad K.&option=202" target="_blank" rel="nofollow">Bhaskaran Prasad K.;</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>Department of Ocean Engineering and Naval ArchitectureIndian Institute of Technology KharagpurIndia;</p> <p>Department of Ocean Engineering and Naval ArchitectureIndian Institute of Technology KharagpurIndia;</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=directional statistics&option=203" rel="nofollow">directional statistics;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=ERA‐20C&option=203" rel="nofollow">ERA‐20C;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=ERA ‐Interim&option=203" rel="nofollow">ERA ‐Interim;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Indian Ocean&option=203" rel="nofollow">Indian Ocean;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=satellite observations&option=203" rel="nofollow">satellite observations;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=surface waves&option=203" rel="nofollow">surface waves;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=swells&option=203" rel="nofollow">swells;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=wave parameters&option=203" rel="nofollow">wave parameters;</a> </p> <div class="translation"> 机译：定向统计;ERA-20C;ERA-Interim;印度洋;卫星观察;表面波;膨胀;波参数; 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