Absorption spectra and DOC concentrations from the NOAA Ship Ronald H. Brown cruise RB-07-05, R/V Pelican cruises PE07-32, PEJun2000 in the Gulf of Mexico (GoMX - NACP-OCB project)

<p>Geospatial Synthesis of Chromophoric (color-absorbing) Dissolved Organic Matter (CDOM) Distribution in the Gulf of Mexico</p>

<h4>PI: Christopher Osburn, Dept. Marine, Earth, and Atmospheric Sciences, NC State University</h4>

<h4>Co-PIs: Thomas Bianchi, Texas A&amp;M University, Bob Chen, University of Massachusetts-Boston; Paula Coble, University of South Florida; Eurico D'Sa, Louisiana State University</h4>

<p>This dataset is affiliated with the North American Carbon Program (NACP). For additional information, please see the <a href=\"http://www.nacarbon.org/cgi-bin/web/investigations/inv_pgp.pl?pgid=511\">entry at the NACP site</a>.</p>

<p>This data set will be a synthesis of bio-optical data on chromophoric or color-absorbing dissolved organic matter (CDOM) in the coastal regions the Gulf of Mexico - an immediate goal of the NACP and OCB programs. Absorption spectra and DOC concentrations from the Organic Matter Cycli project will be reported. In addition to in situ absorption spectra and DOC concentrations some study locations may also report fluorescence (estimate of chlorophyll a concentration), plus CTD and dissolved oxygen measurements</p>

<p>CDOM affects on water quality and water clarity are part of a high priority issue identified by the Gulf of Mexico Alliance (GOMA). Each of the PI's listed has historical CDOM data from coastal regions of the Gulf of Mexico, ranging from the Texas coast to West Florida Shelf.</p>

<p>The historic CDOM synthesis data set will provide a resource for validating remote sensing algorithms that predict water clarity properties in the coastal areas of the Gulf of Mexico. Each dataset to be shared by a PI is linked to specific research cruises. Thus the database has temporal and spatial coverage and associated metadata. In Years 1-2 of the project, data will be collated from each PI and transformed into a format amenable to data rescue by BCO-DMO. The structure of the resulting database will provide a mechanism by which future data sets may be integrated by members of the scientific community, through the project. In Year 2, as data comes online, it will be used to validate a coastal CDOM remote sensing algorithm for the Gulf of Mexico. Co-PI D'Sa has a decision support science website (<a href=\"http://gulf-coast.lsu.edu/index.html\">http://gulf-coast.lsu.edu/index.html</a>) that will provide water clarity data products based on CDOM algorithms.</p>

<p>The goal of the project is to have a functional database of CDOM information for two objectives. One objective is to provide coastal oceanographers with a clearinghouse for CDOM data that can be accessed and to which future cruise-related data acquisitions can be added. The second objective is to provide a resource for decision makers who require water clarity data on spatial and time scales for which satellite imagery may be used. For the second goal to be met, we have as an objective the validation of CDOM algorithms using the proposed database. Once the algorithm is validated, water clarity data products can be generated by users using the GCIS website, which will link to the CDOM database hosted by BCO-DMO.</p>

<p>The CDOM database will also provide pilot data for research proposals to NSF from our team. Part of our evolving project is to produce geospatial models of CDOM distributions in the Gulf of Mexico from the inflows of multiple rivers as well as the Loop Current. Functional models of CDOM distributions will further aid in remote sensing algorithm development and validation and in the general understanding of terrestrial C flux to the Gulf of Mexico.</p>

<p>Modification History:<br />
September 2010: added processed Atchafalaya data from Chris Osburn<br />
December 2010: raw/unprocessed Mississippi Plume absorption coefficients were added but then quickly removed<br />
June 2011: added processed Mississippi Plume data from Bob Chen; a_lambda units corrected to \"per meter\" (had been incorrectly specified as \"per nanometer\" in earlier version)</p>

<p>墨西哥湾有色（吸光性）溶解有机物（Chromophoric Dissolved Organic Matter，CDOM）分布的地理空间合成数据集</p><h4>项目负责人（Principal Investigator，PI）：克里斯托弗·奥斯本（Christopher Osburn），北卡罗来纳州立大学海洋、地球与大气科学系</h4><h4>联合项目负责人（Co-Principal Investigator，Co-PIs）：托马斯·比安奇（Thomas Bianchi），德克萨斯农工大学；鲍勃·陈（Bob Chen），马萨诸塞大学波士顿分校；宝拉·科布尔（Paula Coble），南佛罗里达大学；尤里科·德萨（Eurico D'Sa），路易斯安那州立大学</h4><p>本数据集隶属于北美碳计划（North American Carbon Program，NACP）。如需获取更多信息，请查阅NACP官网的相关条目：<a href="http://www.nacarbon.org/cgi-bin/web/investigations/inv_pgp.pl?pgid=511">http://www.nacarbon.org/cgi-bin/web/investigations/inv_pgp.pl?pgid=511</a>。</p><p>本数据集将合成墨西哥湾沿岸海域有色（吸光性）溶解有机物（CDOM）的生物光学数据，这也是北美碳计划（NACP）与海洋碳与生物地球化学计划（OCB）的近期目标。本数据集将收录来自有机物循环（Organic Matter Cycli）项目的吸收光谱与溶解有机碳（Dissolved Organic Carbon，DOC）浓度数据。除原位吸收光谱与DOC浓度外，部分研究站点还将提供荧光数据（用于估算叶绿素a浓度）、温盐深剖面仪（CTD）测量数据以及溶解氧测量数据。</p><p>CDOM对水质与水体透明度的影响是墨西哥湾联盟（Gulf of Mexico Alliance，GOMA）确定的优先研究议题之一。上述所有项目负责人均拥有墨西哥湾沿岸海域（从德克萨斯州沿岸至西佛罗里达陆架）的历史CDOM数据集。</p><p>本次历史CDOM合成数据集将为验证预测墨西哥湾沿岸海域水体透明度特征的遥感算法提供支撑资源。每位项目负责人共享的数据集均与特定的研究航次相关联，因此本数据库具备时空覆盖范围与配套元数据。在项目第1-2年，我们将从各项目负责人处整理数据，并转换为适合生物与化学海洋学数据管理办公室（BCO-DMO）进行数据抢救的格式。本数据库建成后将提供一套机制，便于科学界成员通过本项目集成未来的数据集。在项目第2年，随着数据上线，该数据集将用于验证针对墨西哥湾沿岸海域的CDOM遥感算法。联合项目负责人德萨（Eurico D'Sa）拥有一个决策支持科学网站：<a href="http://gulf-coast.lsu.edu/index.html">http://gulf-coast.lsu.edu/index.html</a>，该网站将提供基于CDOM算法的水体透明度数据产品。</p><p>本项目的目标是构建一套可用的CDOM信息数据库，以实现两大目标：其一，为沿岸海洋学家提供一个CDOM数据共享交换中心，便于其访问并添加未来与航次相关的采集数据；其二，为需要基于卫星影像获取时空尺度水体透明度数据的决策者提供支撑资源。为达成第二项目标，我们计划利用本数据库开展CDOM算法的验证工作。算法验证完成后，用户可通过全球变化信息系统（GCIS）网站生成水体透明度数据产品，该网站将链接至BCO-DMO托管的CDOM数据库。</p><p>本CDOM数据库还将为团队向美国国家科学基金会（NSF）提交的研究提案提供试点数据。本项目的阶段性工作之一是基于多条河流的输入以及墨西哥湾环流，构建墨西哥湾CDOM分布的地理空间模型。成熟的CDOM分布模型将进一步助力遥感算法的开发与验证，同时帮助学界更全面地理解陆地碳通量向墨西哥湾的输送过程。</p><p>修改历史：<br />2010年9月：新增克里斯·奥斯本（Chris Osburn）整理后的阿查法拉亚河（Atchafalaya）相关数据<br />2010年12月：新增密西西比羽流（Mississippi Plume）原始/未处理的吸收系数数据，但随后随即移除<br />2011年6月：新增鲍勃·陈（Bob Chen）整理后的密西西比羽流数据；将a_λ的单位修正为“每米”（早期版本误标注为“每纳米”）</p>