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Reports From EXPORTS Modeling and Data-Mining Activities 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.
Document ID
20220017730
Acquisition Source
Goddard Space Flight Center
Document Type
Technical Memorandum (TM)
Authors
Brandi J. McCarty
(National Oceanic and Atmospheric Administration Washington D.C., District of Columbia, United States)
Amala Mahadevan
(Woods Hole Oceanographic Institution Falmouth, Massachusetts, United States)
Patricia Matrai
(Bigelow Laboratory For Ocean Sciences Boothbay, Maine, United States)
Dennis J. McGillicuddy
(Woods Hole Oceanographic Institution Falmouth, Massachusetts, United States)
Cecile S. Rousseaux
(Goddard Space Flight Center Greenbelt, Maryland, United States)
David Siegel
(University of California, Santa Barbara Santa Barbara, California, United States)
James H. Churnside
(National Oceanic and Atmospheric Administration Washington D.C., District of Columbia, United States)
Yongxiang Hu
(Langley Research Center Hampton, Virginia, United States)
David Nicholson
(Woods Hole Oceanographic Institution Falmouth, Massachusetts, United States)
Andrew F. Thompson
(California Institute of Technology Pasadena, California, United States)
Melissa M. Omand
(University of Rhode Island Kingston, Rhode Island, United States)
Adrian Martin
(National Oceanography Centre Southampton, United Kingdom)
Mathieu Dever
(Woods Hole Oceanographic Institution Falmouth, Massachusetts, United States)
Zachary K. Erickson
(National Oceanic and Atmospheric Administration Washington D.C., District of Columbia, United States)
Alexis Johnson
(University of Rhode Island Kingston, Rhode Island, United States)
Lionel Arteaga
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Ivona Cetinic
(Morgan State University Baltimore, Maryland, United States)
Ken Buesseler
(Woods Hole Oceanographic Institution Falmouth, Massachusetts, United States)
Date Acquired
November 23, 2022
Publication Date
January 1, 2023
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
CONTRACT_GRANT: 80NSSC22M0001
CONTRACT_GRANT: NNH15ZDA001N
CONTRACT_GRANT: NNX16AR48G
CONTRACT_GRANT: NNX17AB99G
CONTRACT_GRANT: 80NSSC18K0081
CONTRACT_GRANT: NNX16AR50G
CONTRACT_GRANT: NNX16AR49G
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
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