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Collecting and processing of barometric data from smartphones for potential use in numerical weather prediction data assimilation

机译：从数值天气预报数据同化中的智能手机收集和处理智能手机的潜在用途

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Abstract >The potential for use of crowd‐sourced data in the atmospheric sciences is vastly expanding, including observations from smartphones with barometric sensors. Smartphone pressure observations can potentially help improve numerical weather prediction and aid forecasters. In this contribution a method of collecting data from smartphones is presented, other methods are discussed and guidelines are derived from the experience. Quality control is vital when using crowd‐sourced data. Screening methods aimed at smartphone pressure observations are presented. Results from previous studies, showing a substantial but long‐term stable bias in combination with high relative accuracy, are confirmed. The collection of Danish smartphone pressure observations has been very successful, with over 6 million observations during a 7 week period. Case studies show that distinct weather patterns can be seen in unprocessed data. The screening method developed reduces the observational noise but filters out the majority of observations. Assimilating smartphone pressure observations in a single case study, using the 3D variational data assimilation system of the HARMONIE numerical weather prediction system, proved to decrease the bias of surface pressure in the model without increasing the root mean square error and the skill of accumulated precipitation increased. It is found that the altitude assignment of smartphones needs improvement. </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 Type =“Main”XML：Lang =“en”> <标题类型=“main”>抽象</ title> >在大气科学中使用人群资源数据的可能性很大，包括观察从带有气压传感器的智能手机。智能手机压力观测可能有助于改善数值天气预报和援助预测员。在这一贡献中，展示了一种从智能手机收集数据的方法，讨论了其他方法，并导出了从经验中获取的指导。在使用人群源数据时，质量控制是至关重要的。提出了旨在智能手机压力观测的筛选方法。先前研究的结果，显示了具有高相对精度的大量但长期稳定的偏差。丹麦智能手机压力观测的集合非常成功，在7周期间有超过600万个观察。案例研究表明，在未加工的数据中可以看到不同的天气模式。筛选方法开发可降低观察噪声，但滤除大部分观察结果。在单个案例研究中同化智能手机压力观测，使用谐波数值天气预报系统的3D变形数据同化系统，证明在模型中的表面压力偏差而不增加根系平均方误差和累积降水的技能增加。发现智能手机的高度分配需要改进。</ 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>2019年第4期</span><b style="margin: 0 2px;">|</b><span>共14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=Hintz Kasper S.&option=202" target="_blank" rel="nofollow">Hintz Kasper S.;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Vedel Henrik&option=202" target="_blank" rel="nofollow">Vedel Henrik;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Kaas Eigil&option=202" target="_blank" rel="nofollow">Kaas Eigil;</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>Research and DevelopmentDanish Meteorological InstituteCopenhagen Denmark;</p> <p>Research and DevelopmentDanish Meteorological InstituteCopenhagen Denmark;</p> <p>Climate and Computational GeophysicsUniversity of Copenhagen Niels Bohr InstituteCopenhagen Denmark;</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=crowdsourcing&option=203" rel="nofollow">crowdsourcing;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=observations&option=203" rel="nofollow">observations;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=smartphones&option=203" rel="nofollow">smartphones;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=surface pressure&option=203" rel="nofollow">surface pressure;</a> </p> <div class="translation"> 机译：众包;观察;智能手机;表面压力; </div> </li> <li> <span class="lefttit">入库时间</span> <span>2022-08-20 03:59:44</span> </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/0704023665145.html">Collecting and processing of barometric data from smartphones for potential use in numerical weather prediction data assimilation</a> <b>[J]</b> . <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Hintz Kasper S.&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Hintz Kasper S.,</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Vedel Henrik&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Vedel Henrik,</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Kaas Eigil&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Kaas Eigil </a> <a href="/journal-foreign-24923/" target="_blank" rel="nofollow" class="tuijian_authcolor">Meteorological applications .</a> <span>2019</span><span>,第4期</span> </span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译：从数值天气预报数据同化中的智能手机收集和处理智能手机的潜在用途</span> </p> </li> <li> <div> <b>2. </b><a class="enjiyixqcontent" href="/journal-foreign-detail/0704010798047.html">The potential of 1 h refractivity changes from an operational C-band magnetron-based radar for numerical weather prediction validation and data assimilation</a> <b>[J]</b> . <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Nicol J. 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