<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Chuanfeng Zhao</style></author><author><style face="normal" font="default" size="100%">Arlyn E. Andrews</style></author><author><style face="normal" font="default" size="100%">Laura Bianco</style></author><author><style face="normal" font="default" size="100%">Janusz Eluszkiewicz</style></author><author><style face="normal" font="default" size="100%">Adam Hirsch</style></author><author><style face="normal" font="default" size="100%">Clinton MacDonald</style></author><author><style face="normal" font="default" size="100%">Thomas Nehrkorn</style></author><author><style face="normal" font="default" size="100%">Marc L. Fischer</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Atmospheric inverse estimates of methane emissions from Central California</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Geophysical Research - Atmospheres</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">atmospheric transport</style></keyword><keyword><style  face="normal" font="default" size="100%">inverse modeling</style></keyword><keyword><style  face="normal" font="default" size="100%">methane</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><volume><style face="normal" font="default" size="100%">114</style></volume><abstract><style face="normal" font="default" size="100%">&lt;p&gt;[1] Methane mixing ratios measured at a tall tower are compared to model predictions to estimate surface emissions of CH&lt;sub&gt;4&lt;/sub&gt; in Central California for October–December 2007 using an inverse technique. Predicted CH&lt;sub&gt;4&lt;/sub&gt; mixing ratios are calculated based on spatially resolved a priori CH&lt;sub&gt;4&lt;/sub&gt; emissions and simulated atmospheric trajectories. The atmospheric  trajectories, along with surface footprints, are computed using the  Weather Research and Forecast (WRF) coupled to the Stochastic  Time-Inverted Lagrangian Transport (STILT) model. An uncertainty  analysis is performed to provide quantitative uncertainties in estimated  CH&lt;sub&gt;4&lt;/sub&gt; emissions. Three inverse model estimates of CH&lt;sub&gt;4&lt;/sub&gt; emissions are reported. First, linear regressions of modeled and measured CH&lt;sub&gt;4&lt;/sub&gt; mixing ratios obtain slopes of 0.73 ± 0.11 and 1.09 ± 0.14 using  California-specific and Edgar 3.2 emission maps, respectively,  suggesting that actual CH&lt;sub&gt;4&lt;/sub&gt; emissions were about 37 ± 21%  higher than California-specific inventory estimates. Second, a Bayesian  &quot;source&quot; analysis suggests that livestock emissions are 63 ± 22% higher  than the a priori estimates. Third, a Bayesian &quot;region&quot; analysis is  carried out for CH&lt;sub&gt;4&lt;/sub&gt; emissions from 13 subregions, which shows that inventory CH&lt;sub&gt;4&lt;/sub&gt; emissions from the Central Valley are underestimated and uncertainties in CH&lt;sub&gt;4&lt;/sub&gt; emissions are reduced for subregions near the tower site, yielding best  estimates of flux from those regions consistent with &quot;source&quot; analysis  results. The uncertainty reductions for regions near the tower indicate  that a regional network of measurements will be necessary to provide  accurate estimates of surface CH&lt;sub&gt;4&lt;/sub&gt; emissions for multiple regions.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">D16</style></issue></record></records></xml>