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首页> 外文期刊>Journal of Geophysical Research, C. Oceans: JGR >A Model‐Based Evaluation of the Inverse Gaussian Transit‐Time Distribution Method for Inferring Anthropogenic Carbon Storage in the Ocean
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A Model‐Based Evaluation of the Inverse Gaussian Transit‐Time Distribution Method for Inferring Anthropogenic Carbon Storage in the Ocean

机译：一种基于模型的逆高斯传输时间分布方法，用于海洋中推断的人为碳储存

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Abstract > The Inverse Gaussian approximation of transit time distribution method (IG‐TTD) is widely used to infer the anthropogenic carbon ( C <sub>ant</sub> ) concentration in the ocean from measurements of transient tracers such as chlorofluorocarbons (CFCs) and sulfur hexafluoride (SF <sub>6</sub> ). Its accuracy relies on the validity of several assumptions, notably (i) a steady state ocean circulation, (ii) a prescribed age tracer saturation history, e.g., a constant 100% saturation, (iii) a prescribed constant degree of mixing in the ocean, (iv) a constant surface ocean air‐sea CO <sub>2</sub> disequilibrium with time, and (v) that preformed alkalinity can be sufficiently estimated by salinity or salinity and temperature. Here, these assumptions are evaluated using simulated “model‐truth” of Cant. The results give the IG‐TTD method a range of uncertainty from 7.8% to 13.6% (11.4 Pg C to 19.8 Pg C) due to above assumptions, which is about half of the uncertainty derived in previous model studies. Assumptions (ii), (iv) and (iii) are the three largest sources of uncertainties, accounting for 5.5%, 3.8% and 3.0%, respectively, while assumptions (i) and (v) only contribute about 0.6% and 0.7%. Regionally, the Southern Ocean contributes the largest uncertainty, of 7.8%, while the North Atlantic contributes about 1.3%. Our findings demonstrate that spatial‐dependency of <mat:math display="inline" altimg="urn:x-wiley:21699275:media:jgrc22642:jgrc22642-math-0001" wiley:location="equation/jgrc22642-math-0001.png"> <mat:mrow> <mat:mo>Δ</mat:mo> <mat:mo>/</mat:mo> <mat:mi mathvariant="normal">Γ</mat:mi> </mat:mrow> </mat:math> , and temporal changes in tracer saturation and air‐sea </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”> <标题类型=“main”>抽象</标题> >传输时间分布方法的逆高斯近似（Ig-TTD）被广泛用于推断人为碳（从海洋中的浓度C浓度从瞬态示踪剂（如氯氟烃（CFC）和六氟化硫（SF <sub> 6 </ sub>）的测量。其准确性依赖于多个假设的有效性，特别是（i）稳态海洋循环，（ii）规定年龄示踪饱和度历史，例如，恒定的100％饱和度，（iii）在海洋中的规定的恒定恒定的混合程度（iv）（iv）恒定的表面海风 Co </ i> 2 </ sub>不平衡随时间，并且（v）可以通过盐度或盐度和温度充分地估计预先形成的碱度。这里，使用CA中的模拟“模型真理”来评估这些假设。结果为IG-TTD方法提供了7.8％至13.6％（11.4 pg C至19.8 pg c）的不确定性，这是由于上述假设，这大约是先前模型研究中得出的不确定性的一半。假设（ii），（iv）和（iii）是三个最大的不确定性来源，分别占5.5％，3.8％和3.0％，而假设（i）和（v）只贡献约0.6％和0.7％ 。地区地区，南洋促成了最大的不确定性，7.8％，而北大西洋贡献了约1.3％。我们的研究结果表明，<MAT：数学显示=“内联”Altimg =“URN：X-Wiley：21699275：媒体：JGRC22642：JGRC22642-Math-0001”Wiley：Location =“等式/ JGRC22642-Math-0001 .png“> <mat：mrow> <mat：mo>δ</ mat：mo> <mat：mo> / </ mat：mo> <mat：mi mathvariant =”正常“>γ</ mat：mi> </ mat：mrow> </ mat：数学>，跟踪饱和度和空中的时间变化 </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-34643/'>《Journal of Geophysical Research, C. Oceans: JGR》</a> <b style="margin: 0 2px;">|</b><span>2018年第3期</span><b style="margin: 0 2px;">|</b><span>共24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=He Yan‐Chun&option=202" target="_blank" rel="nofollow">He Yan‐Chun;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Tjiputra Jerry&option=202" target="_blank" rel="nofollow">Tjiputra Jerry;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Langehaug Helene R.&option=202" target="_blank" rel="nofollow">Langehaug Helene R.;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Jeansson Emil&option=202" target="_blank" rel="nofollow">Jeansson Emil;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Gao Yongqi&option=202" target="_blank" rel="nofollow">Gao Yongqi;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Schwinger J?rg&option=202" target="_blank" rel="nofollow">Schwinger J?rg;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Olsen Are&option=202" target="_blank" rel="nofollow">Olsen Are;</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>Nansen Environmental and Remote Sensing Center Bjerknes Centre for Climate ResearchBergen Norway;</p> <p>Uni Research Climate Bjerknes Centre for Climate ResearchBergen Norway;</p> <p>Nansen Environmental and Remote Sensing Center Bjerknes Centre for Climate ResearchBergen Norway;</p> <p>Uni Research Climate Bjerknes Centre for Climate ResearchBergen Norway;</p> <p>Nansen Environmental and Remote Sensing Center Bjerknes Centre for Climate ResearchBergen Norway;</p> <p>Uni Research Climate Bjerknes Centre for Climate ResearchBergen Norway;</p> <p>Geophysical Institute University of Bergen and Bjerknes Centre for Climate ResearchBergen Norway;</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/163.html" title="地球物理学">地球物理学;</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=anthropogenic carbon&option=203" rel="nofollow">anthropogenic carbon;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=transit‐time distribution&option=203" rel="nofollow">transit‐time distribution;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=passive tracer&option=203" rel="nofollow">passive tracer;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=ocean model&option=203" rel="nofollow">ocean model;</a> </p> <div class="translation"> 机译：人为碳;运输时间分布;被动示踪剂;海洋模型; </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/0704025579660.html">A Model‐Based Evaluation of the Inverse Gaussian Transit‐Time Distribution Method for Inferring Anthropogenic Carbon Storage in the Ocean</a> <b>[J]</b> . <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=He Yan‐Chun&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">He Yan‐Chun,</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Tjiputra Jerry&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Tjiputra Jerry,</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Langehaug Helene R.&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Langehaug Helene R.,</a> <a href="/journal-foreign-34643/" target="_blank" rel="nofollow" class="tuijian_authcolor">Journal of Geophysical Research, C. 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