Reports From EXPORTS Modeling and Data-Mining Activities

التفاصيل البيبلوغرافية
العنوان: Reports From EXPORTS Modeling and Data-Mining Activities
المؤلفون: Brandi J. McCarty, Amala Mahadevan, Patricia Matrai, Dennis J. McGillicuddy, Cecile S. Rousseaux, David Siegel, James H. Churnside, Yongxiang Hu, David Nicholson, Andrew F. Thompson, Melissa M. Omand, Adrian Martin, Mathieu Dever, Zachary K. Erickson, Alexis Johnson, Lionel Arteaga, Ivona Cetinic, Ken Buesseler
بيانات النشر: United States: NASA Center for Aerospace Information (CASI), 2023.
سنة النشر: 2023
مصطلحات موضوعية: Earth Resources and Remote Sensing
الوصف: EXPORTS -EXport Processes in the Ocean from RemoTe Sensing is NASA’s large field campaign focusing on development of a predictive understanding of the export, fate and carbon cycle impacts of the global net primary production. This co-funded program (NSF, private funding1, and international participation) was conceived in 2013, with EXPORTS Science plan published in 2016 (Siegel et al 2016, EXPORTS Writing Team 2015) and its implementation plan finalized in 2016 (EXPORTS Science Definition Team 2016). More details are presented in Siegel et al (2021). EXPORTS campaign is structured as a multiyear effort (Figure 1). It started with “Pre-EXPORTS” modeling and data-mining activity followed by a first phase with two major field programs and a second synthesis and modeling phase. The “Pre-EXPORTS” projects, total of 6 of them (Table 1), funded under A.3 Ocean Biology and Biogeochemistry 2015 call, helped to plan the field campaign (Resplandy et al 2019, Rousseaux & Gregg 2017), and supporting further global synthesis with datasets mined from the literature (e.g. Bisson et al (2020), Bisson et al (2018), Kramer and Siegel (2019)), directly responding to objectives outlined in Science Plan (see section 6 in Team (2015)) and Implementation team (see Figure 1 in Team (2016)). This document presents a compilation of the final reports of the Pre-EXPORTS funded projects, in hope of synthesizing the outcomes, and insuring the legacy of this program. Each of these reports contains a list of published papers, and reader should refer to them to see results in details.
نوع الوثيقة: Report
اللغة: English
URL الوصول: https://ntrs.nasa.gov/citations/20220017730
ملاحظات: 80NSSC22M0001

NNH15ZDA001N

NNX16AR48G

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80NSSC18K0081

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NNX16AR49G
رقم الأكسشن: edsnas.20220017730
قاعدة البيانات: NASA Technical Reports