Performance of various techniques in estimating missing climatological data over snowbound mountainous areas of Karakoram Himalaya

Kanda Neha; Negi H. S.; Rishi Madhuri S.; Shekhar M. S.

摘要

ABSTRACT >Filling gaps in climate data concerning mountainous areas with high spatial variability is significantly important since gaps tend to decrease the accuracy of trend estimation. In this study, the performance of seven classical methods in estimating missing values of maximum temperature, minimum temperature and precipitation at different time scales, i.e. daily (with different cases of missing data), weekly, biweekly and monthly, over Karakoram Himalaya was evaluated. Four performance indicators, i.e. mean absolute error, root mean squared error, co‐efficient of efficiency and skill score, were used to evaluate the relative performance of the methods; the mean absolute error was preferred over the other three measures for selecting the best method. The results indicate that multiple linear regression using the least absolute deviation criterion is best suited for estimation of all variables at all temporal scales except monthly precipitation data. It was also found that, for any variable, the deviation from the observed values decreased with increasing time step, i.e. there was more deviation on a daily scale than monthly. </abstract> </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> >填充空白在气候数据上，关于具有高空间变异性的山区，显着重要的是，因为差距往往会降低趋势估计的准确性。在这项研究中，在估计不同时间尺度的最高温度，最小温度和降水的缺失值中的七种古典方法的性能，即每日（在缺失数据的不同情况下），每周，双周和每月进行评估。四个绩效指标，即平均绝对误差，均方根误差，高效效率和技能评分，用于评估方法的相对性能;对于选择最佳方法的其他三种措施，平均绝对误差是优选的。结果表明，使用最小绝对偏差标准的多个线性回归最适合于除月度降水数据之外的所有时间尺度上的所有变量估计。还发现，对于任何变量，与观察到的值的偏差随着时间步骤的增加而降低，即，每日比例的偏差比每月更多。</ p> </ abstract> </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-24923/'>《Meteorological applications》</a> <b style="margin: 0 2px;">|</b><span>2018年第3期</span><b style="margin: 0 2px;">|</b><span>共13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=Kanda Neha&option=202" target="_blank" rel="nofollow">Kanda Neha;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Negi H. S.&option=202" target="_blank" rel="nofollow">Negi H. S.;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Rishi Madhuri S.&option=202" target="_blank" rel="nofollow">Rishi Madhuri S.;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Shekhar M. S.&option=202" target="_blank" rel="nofollow">Shekhar M. S.;</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>Snow and Avalanche Study Establishment (SASE)Him ParisarChandigarh India;</p> <p>Snow and Avalanche Study Establishment (SASE)Him ParisarChandigarh India;</p> <p>Department of Environment StudiesPanjab UniversityChandigarh India;</p> <p>Snow and Avalanche Study Establishment (SASE)Him ParisarChandigarh India;</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/164.html" title="大气科学（气象学）">大气科学（气象学）;</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=climate data gaps&option=203" rel="nofollow">climate data gaps;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Karakoram Himalaya&option=203" rel="nofollow">Karakoram Himalaya;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=data filling methods&option=203" rel="nofollow">data filling methods;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=mean absolute error (MAE)&option=203" rel="nofollow">mean absolute error (MAE);</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=multiple linear regression&option=203" rel="nofollow">multiple linear regression;</a> </p> <div class="translation"> 机译：气候数据差距;karakoram himalaya;数据填充方法;平均绝对错误（MAE）;多元线性回归; </div> </li> </ul> </div> </div> <div class="literature cardcommon"> <div class="similarity "> <h3 class="all_title" id="enpatent66">相似文献</h3> <div class="similaritytab clearfix"> <ul> <li class="active" >外文文献</li> <li >中文文献</li> <li >专利</li> </ul> </div> <div class="similarity_details"> <ul > <li> <div> <b>1. </b><a class="enjiyixqcontent" href="/journal-foreign-detail/0704023665270.html">Performance of various techniques in estimating missing climatological data over snowbound mountainous areas of Karakoram Himalaya</a> <b>[J]</b> . <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Kanda Neha&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Kanda Neha,</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Negi H. 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