{"id":34,"date":"2008-05-26T22:19:14","date_gmt":"2008-05-27T06:19:14","guid":{"rendered":"http:\/\/www.ramblemuse.com\/rmtp\/?p=34"},"modified":"2008-05-31T12:52:08","modified_gmt":"2008-05-31T20:52:08","slug":"fossil-fuel-emissions-verification","status":"publish","type":"post","link":"https:\/\/www.ramblemuse.com\/rmtp\/2008\/05\/26\/fossil-fuel-emissions-verification\/","title":{"rendered":"Fossil Fuel Emissions Verification"},"content":{"rendered":"

\"View<\/a> Back in April, while still at LLNL, I was working on a proposed project to improve methods and observations for fossil fuel emissions verification (FFEV). AB32, California’s landmark climate change legislation, requires fossil fuel emissions verification<\/a>, as well as including mandatory source reporting. Part of FFEV is modeling where emissions are transported by winds. This video-only animation shows such a simulation for emissions from LA (red) and San Francisco (blue) for the first week of January 2006. Several wind patterns can be seen during the week.<\/p>\n

I made the original individual graphics images using IDL’s<\/a> object-oriented volume rendering. The individual images, as was the model output, were three hours apart. The opacity for the the LA and SF air basin emissions increases nonlinearly with the concentrations. I used a gamma correction<\/a> of 1.5 to create a display that showed concentration details away from the source without filling the entire display. The animation was created by importing the still images into Adobe Premiere Elements and using a dissolve time between images equal to the image display time. The result was a continual interpolation in time rather than a \u201cslide-show\u201d appearance.<\/p>\n

<\/embed><\/object><\/p>\n

Wind flow modeling, as displayed in this video, is only part of FFEV. Bottom-up source estimates are made from reporting of the types of fuel being used and how the fuel is burned. This can vary from season to season and from region to region in California. A model, such as WRF-Chem<\/a>, along with analyzed wind fields, is used to turn the source estimates into concentration estimates. The concentration estimates can then be compared with actual measurements of local carbon dioxide. Inverse problem mathematics then allow using the discrepancy between the concentration estimates and the actual measurements to improve the estimates of the emissions. By including measurements of different carbon isotopes, more information can be gained about the strengths of fossil fuel sources and biogenic sources and sinks. For example, because all the carbon-14 in fossil fuel has decayed away (5700 year half-life), burning fossil fuel creates a carbon-14 “hole”. This is called the “Suess Effect”, after Hans Suess<\/a>. The high accuracy isotope measurements are based on the technology at the Center for Accelerator Mass Spectrometry<\/a> (CAMS). Tom Guilderson of CAMS is heading the proposal and would be the contact for more information.<\/p>\n","protected":false},"excerpt":{"rendered":"

Back in April, while still at LLNL, I was working on a proposed project to improve methods and observations for fossil fuel emissions verification (FFEV). AB32, California’s landmark climate change legislation, requires fossil fuel emissions verification, as well as including mandatory source reporting. Part of FFEV is modeling where emissions are transported by winds. This […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8,6,9],"tags":[12,18,17,15,14,13,31],"class_list":["post-34","post","type-post","status-publish","format-standard","hentry","category-business","category-politics","category-science","tag-carbon-dioxide","tag-climate-change","tag-emissions-verification","tag-energy-policy","tag-fossil-fuels","tag-global-warming","tag-llnl"],"_links":{"self":[{"href":"https:\/\/www.ramblemuse.com\/rmtp\/wp-json\/wp\/v2\/posts\/34","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ramblemuse.com\/rmtp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ramblemuse.com\/rmtp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ramblemuse.com\/rmtp\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ramblemuse.com\/rmtp\/wp-json\/wp\/v2\/comments?post=34"}],"version-history":[{"count":0,"href":"https:\/\/www.ramblemuse.com\/rmtp\/wp-json\/wp\/v2\/posts\/34\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.ramblemuse.com\/rmtp\/wp-json\/wp\/v2\/media?parent=34"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ramblemuse.com\/rmtp\/wp-json\/wp\/v2\/categories?post=34"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ramblemuse.com\/rmtp\/wp-json\/wp\/v2\/tags?post=34"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}