{"id":766,"date":"2022-06-07T16:23:36","date_gmt":"2022-06-07T21:23:36","guid":{"rendered":"https:\/\/inside.nssl.noaa.gov\/ensmith\/?page_id=766"},"modified":"2022-06-07T16:23:36","modified_gmt":"2022-06-07T21:23:36","slug":"flux","status":"publish","type":"page","link":"https:\/\/inside.nssl.noaa.gov\/ensmith\/metr5603\/flux\/","title":{"rendered":"Flux Measurements and Processing"},"content":{"rendered":"\n<p>In this part of the course we focus on the instrumentation and data processing techniques of surface flux towers. These towers typically use the so-called eddy covariance technique to measure sensible and latent heat fluxes as well as other turbulence quantities. To close the surface energy balance, additional instruments such as net radiation and soil temperature sensors are typically also installed at such towers. For ecosystem studies, the sites may be equipped with additional sensors to measure e.g. CO<sub>2<sup>&nbsp;<\/sup><\/sub>or other trace gas fluxes.&nbsp;<\/p>\n\n\n\n<p>As you will see eddy-covariance measurements require expensive instrumentation, intensive post-processing, and the data must be carefully screened. In the four lectures, we cannot cover everything &#8211; there are entire books (see the references) devoted to eddy-covariance measurements. Instead, the objective is to introduce &nbsp;important data processing steps and quality assurance checks. It is important that you don&#8217;t treat flux measurement systems as black boxes and that you are aware of the limitations of these systems if you work with flux data.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">References:&nbsp;<\/h3>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Books<\/strong>:<\/h3>\n\n\n\n<p>Aubinet, M., \u00a0T. Vesala, and. D. Papale (Eds.), 2012.\u00a0Eddy Covariance.\u00a0A Practical Guide to Measurement and Data Analysis. 438p.\u00a0\u00a0Springer.\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/www.springer.com\/gp\/book\/9789400723504\" target=\"_blank\">https:\/\/www.springer.com\/gp\/book\/9789400723504\u00a0<\/a><\/p>\n\n\n\n<p>Foken, T., 2017. Micrometeorology. 362p. Springer.\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/www.springer.com\/gp\/book\/9783642254390\" target=\"_blank\">https:\/\/www.springer.com\/gp\/book\/9783642254390\u00a0<\/a><\/p>\n\n\n\n<p>Lee X.,\u00a0W Massman,\u00a0B. Law, 2005. Handbook of Micrometeorology. 250p. Springer.\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/www.springer.com\/gp\/book\/9781402022647\" target=\"_blank\">https:\/\/www.springer.com\/gp\/book\/9781402022647\u00a0<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Some Selected Journal Articles:<\/strong><\/h3>\n\n\n\n<p>Finnigan, J.J., Clement, R., Malhi, Y.\u00a0<em>et al.<\/em>\u00a0A Re-Evaluation of Long-Term Flux Measurement Techniques Part I: Averaging and Coordinate Rotation.\u00a0<em>Boundary-Layer Meteorology<\/em>\u00a0<strong>107,\u00a0<\/strong>1\u201348 (2003).\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1023\/A:1021554900225\" target=\"_blank\">https:\/\/doi.org\/10.1023\/A:1021554900225\u00a0<\/a><\/p>\n\n\n\n<p>Finnigan, J.J. A Re-Evaluation of Long-Term Flux Measurement Techniques Part II: Coordinate Systems.<em>Boundary-Layer Meteorology<\/em>\u00a0113, 1\u201341 (2004).\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1023\/B:BOUN.0000037348.64252.45\" target=\"_blank\">https:\/\/doi.org\/10.1023\/B:BOUN.0000037348.64252.45\u00a0<\/a><\/p>\n\n\n\n<p>Kljun, N., Calanca, P., Rotach, M. W., and Schmid, H. P.:\u00a0A simple two-dimensional parameterisation for Flux Footprint Prediction (FFP), Geosci. Model Dev., 8, 3695-3713, 2015,\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/gmd.copernicus.org\/articles\/8\/3695\/2015\/\" target=\"_blank\">https:\/\/gmd.copernicus.org\/articles\/8\/3695\/2015\/\u00a0<\/a><\/p>\n\n\n\n<p>Leuning, R., \u00a0E. van Gorsel, W. J. Massman, P. R. Isaac, 2012.\u00a0Reflections on the surface energy imbalance problem,\u00a0<em>Agricultural and Forest Meteorology,<\/em>\u00a0Volume 156,\u00a0pp. 65-74,\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1016\/j.agrformet.2011.12.002\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.agrformet.2011.12.002\u00a0<\/a><\/p>\n\n\n\n<p>Massman, W.J. and \u00a0X. Lee, 2002. Eddy covariance flux corrections and uncertainties in long-term studies of carbon and energy exchanges,<br><em>Agricultural and Forest Meteorology<\/em>,\u00a0Volume 113, Issues 1\u20134, pp.\u00a0121-144,\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1016\/S0168-1923(02)00105-3\" target=\"_blank\">https:\/\/doi.org\/10.1016\/S0168-1923(02)00105-3\u00a0<\/a>.\u00a0<\/p>\n\n\n\n<p>Mauder, M., \u00a0M. Cuntz, C. Dr\u00fce, A. Graf, C. Rebmann, H. P. Schmid, M. Schmidt, R. Steinbrecher, 2013.\u00a0A strategy for quality and uncertainty assessment of long-term eddy-covariance measurements,\u00a0<em>Agricultural and Forest Meteorology<\/em>,\u00a0Volume 169, pp.\u00a0122-135,\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1016\/j.agrformet.2012.09.006\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.agrformet.2012.09.006\u00a0)<\/a>.<\/p>\n\n\n\n<p>Mauder, M., Foken, T. &amp; Cuxart, J. Surface-Energy-Balance Closure over Land: A Review.<em>Boundary-Layer Meteorol<\/em>\u00a0<strong>177,\u00a0<\/strong>395\u2013426 (2020).\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1007\/s10546-020-00529-6\" target=\"_blank\">https:\/\/doi.org\/10.1007\/s10546-020-00529-6\u00a0<\/a>.\u00a0<\/p>\n\n\n\n<p>Wilczak, J.M., Oncley, S.P. &amp; Stage, S.A. Sonic Anemometer Tilt Correction Algorithms.\u00a0<em>Boundary-Layer Meteorology<\/em>\u00a0<strong>99,\u00a0<\/strong>127\u2013150 (2001).\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1023\/A:1018966204465\" target=\"_blank\">https:\/\/doi.org\/10.1023\/A:1018966204465\u00a0<\/a>\u00a0<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Recorded Lectures and Other Resources:<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Eddy&nbsp;Covariance&nbsp;Measurements &#8211; Introduction&nbsp;<\/strong><\/h3>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Eddy Covariance - Introduction\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/heHhKjqqN0c?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Link to a Webinar about Eddy&nbsp;Covariance&nbsp;Measurements&nbsp;<\/strong><\/h4>\n\n\n\n<p><strong><a rel=\"noreferrer noopener\" href=\"https:\/\/www.youtube.com\/watch?v=-94jRGwycCI\" target=\"_blank\">Campbell Scientific Eddy Covariance Webinar<\/a><\/strong><\/p>\n\n\n\n<p>Please watch this recorded webinar by Campbell Scientific (CSI). It provides information about&nbsp;important siting&nbsp;considerations for&nbsp;eddy-covariance measurements and also discusses the pros and cons of open vs. closed path gas analyzers. I realize that it may seems strange to ask you watch a&nbsp;webinar of a vendor but it really provide a nice intro to&nbsp;important topics and CSI is one of the prime vendors for meteorological&nbsp;instrumentation. This is not a promotion of their products and I and definitely not getting paid by CSI for linking their materials here, it is simply using a good educational resource.&nbsp;<\/p>\n\n\n\n<p><strong><a rel=\"noreferrer noopener\" href=\"https:\/\/footprint.kljun.net\/\" target=\"_blank\">Link to an Online Footprint Model<\/a><\/strong><\/p>\n\n\n\n<p>At the\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/footprint.kljun.net\/\" target=\"_blank\">linked website<\/a>, you can \u00a0use a 1D online footprint tool for quick estimates and also sign-up to download a 2D-footprint estimation tool. These tools are based on the paper by Kljun et al (2015) which is included in the reference list above.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this part of the course we focus on the instrumentation and data processing techniques of surface flux towers. These towers typically use the so-called eddy covariance technique to measure&#8230; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/inside.nssl.noaa.gov\/ensmith\/metr5603\/flux\/\" class=\"more-link\">Read more \u00bb<\/a><\/p>\n","protected":false},"author":150,"featured_media":0,"parent":745,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-766","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/inside.nssl.noaa.gov\/ensmith\/wp-json\/wp\/v2\/pages\/766","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/inside.nssl.noaa.gov\/ensmith\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/inside.nssl.noaa.gov\/ensmith\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/ensmith\/wp-json\/wp\/v2\/users\/150"}],"replies":[{"embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/ensmith\/wp-json\/wp\/v2\/comments?post=766"}],"version-history":[{"count":1,"href":"https:\/\/inside.nssl.noaa.gov\/ensmith\/wp-json\/wp\/v2\/pages\/766\/revisions"}],"predecessor-version":[{"id":767,"href":"https:\/\/inside.nssl.noaa.gov\/ensmith\/wp-json\/wp\/v2\/pages\/766\/revisions\/767"}],"up":[{"embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/ensmith\/wp-json\/wp\/v2\/pages\/745"}],"wp:attachment":[{"href":"https:\/\/inside.nssl.noaa.gov\/ensmith\/wp-json\/wp\/v2\/media?parent=766"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}