Coming soon…
Coming soon…
December 14, 2023 at 6:30 pm
OAIC Networking event during Fall AGU immediately following poster session Surface Ocean-Lower Atmosphere Study (SOLAS): 20 Years of Progress and Developments in Ocean-Atmosphere Science
Location: Shelby’s Rooftop Lounge, 250 4th St, San Francisco, CA
With an increasingly wide variety of technology and innovations, from buoys to satellites, we now understand the open ocea n better than ever. Yet, existing technologies cannot cost-effectively provide accurate, up-to-date data on coastal and shelf ocean environments, especially beneath the surface. These dynamic regions impact billions of people in profound and varied ways.
Figure caption: Alongside other major global ocean observing technologies and networks, the Fishing Vessel Ocean Observing Network is built around the concept of “fishing for data” to collect high-quality ocean data such as temperature and salinity profiles. These measurements inform critical policy decisions, are integrated into sustainability efforts for fishers, scientists, and other relevant stakeholders, and can improve climate resiliency while protecting the health, well-being, and livelihoods of coastal communities and participants in the blue economy.
As described in a recent publication, the Fishing Vessel Ocean Observing Network (FVON) is reimagining the global data collection paradigm of coastal and shelf oceans by partnering with fishers and regional observation networks around the world. With more than four million fishing vessels worldwide, fishers cover much of the data-sparse nearshore ocean environments, vitally important regions of the ocean. By outfitting sensors onto vessels and on fishing gear, programs from New Zealand to Japan to New England, including researchers at WHOI, demonstrate that fishers can participate actively in the ongoing data revolution and eliminate critical oceanic data gaps without changing their standard fishing activities. Exponentially increasing the scale of data collection through fishing vessel and gear-based observations in nearshore marine environments has and will continue to democratize ocean observation, improve weather forecasting and ocean monitoring, and promote sustainable fishing while safeguarding lives and livelihoods. Already a proven concept regionally, FVON, alongside fishers and regional observation networks, will expand fishing-based observation to a global initiative.
Authors
Cooper Van Vranken (Ocean Data Network)
Julie Jakoboski (MetOcean Solutions, New Zealand)
John W. Carroll (Ocean Data Network)
Christopher Cusack (Environmental Defense Fund)
Patrick Gorringe (Swedish Meteorological and Hydrological Institute)
Naoki Hirose (Kyushu University, Japan)
James Manning (NOAA Northeast Fisheries Science Center (retired))
Michela Martinelli (National Research Council−Institute of Marine Biological Resources and Biotechnologies, Italy)
Pierluigi Penna (National Research Council−Institute of Marine Biological Resources and Biotechnologies, Italy)
Mathew Pickering (Environmental Defense Fund)
A. Miguel Piecho-Santos (Portuguese Institute for Sea and Atmosphere)
Moninya Roughan (University of New South Wales, Australia)
João de Souza (MetOcean Solutions, New Zealand)
Hassan Moustahfid (NOAA Integrated Ocean Observing System (IOOS))
To maintain marine ecosystem health and human well-being, it is important to understand coastal water quality changes. Water clarity is a key component of water quality, which can be measured in situ by tools such as Secchi disks or by satellites with high spatial and temporal coverage. Coastal environments pose unique challenges to remote sensing, sometimes resulting in inaccurate estimates of water clarity.
Figure caption: Maps of model-corrected Landsat-8 derived Secchi depths from monthly clear sky images (2019–2021).
In this study, we couple low-cost in situ methods (Secchi disk depths) with open-access, high-resolution satellite (Landsat-8 and Sentinel-2) data to improve estimates of water clarity in a shallow, turbid lagoon in Virginia, USA. Our model allows the retrieval of water clarity data across an entire water body and when field measurements are unavailable. This approach can be implemented in dynamic coastal water bodies with limited in situ measurements (e.g., as part of routine water quality monitoring). This can improve our understanding of water clarity changes and their drivers to better predict how water quality may change in the future. Improved water clarity predictions can lead to better coastal ecosystem management and human well-being.
Figure caption: Workflow for obtaining Secchi disk depth with l2gen in NASA SeaDAS, bio-optical algorithms, and empirical adjustments.
Authors
Sarah E. Lang (University of Rhode Island’s Graduate School of Oceanography)
Kelly M.A. Luis (Jet Propulsion Laboratory, California Institute of Technology)
Scott C. Doney (University of Virginia)
Olivia Cronin-Golomb (University of Virginia)
Max C.N. Castorani (University of Virginia)
Twitter / Mastodon
@sarah_langsat8 on Twitter
@kelly_luis1 on Twitter
@scottdoney@universeodon.com on Mastodon
@ocronin_golomb on Twitter
@MaxCastorani on Twitter
OVERVIEW: Sustained ocean time series measurements are fundamental to distinguish between natural and human-induced variability in ecosystems and processes required to advance ecological forecasting. The last international ship-based ocean time series workshop, held in November 2012 (Bermuda), focused on recommendations to improve data comparability. Over the past decade (see Fig.) the ocean observing community has contributed to numerous efforts and activities in support of building a global network of ocean time series with the aims of:
This workshop on FAIR Data Practices for Ship-based Ocean Time Series will bring together globally distributed ship-based ocean time series representatives who are interested and committed to FAIR data practices with data managers and experts in semantic web technologies with the following objectives:
The Cornell Satellite Remote Sensing course, an intensive 2-week summer training course took place June 5-16 in Ithaca, NY. The goal of the course was to teach participants the basic skills needed to work independently to acquire, analyze and visualize data sets derived from a variety of satellite sensors. The course also covered image analysis methods to work with satellite imagery of 1) sea surface temperature, 2) ocean wind speed, and 3) sea surface height.
OCB supported six students to attend the 2023 course. Read about the students and their experiences below:
Ardian Rizal’s research interest is in the area of physical oceanography process and how it explains the interconnected system of the Earth. After graduation from his bachelor’s study in Bandung Institute of Technology, Indonesia, he became an academic assistant at the same institution. His work was to describe the wind-wave climate characteristics and its potential as a renewable energy in the Indonesian Seas. He utilized numerical simulation along with the observation from buoy and altimetry satellites to assess the model’s fidelity. Currently, he is in the 2nd year of his master’s study in the division of Marine Science at the University of Southern Mississippi. He is examining the tidal influences on the mechanism of circulation in the west Mississippi Sound as his theses project under the supervision of Dr. Jerry Wiggert.
On the course: It was a blast! The program serves as a comprehensive foundation for the acquisition, data analysis, and visualization of the imagery and altimetry satellite geophysical product. The course was delivered with a perfect balance of lectures and practical activities. I feel I can independently navigate myself to do my own project after the program. Outside of the course, there are a lot of fantastic things to do with amazing participants from diverse backgrounds such as exploring the gorgeous gorges, visiting the renowned ornithology lab of Cornell, and many more. I am full of gratitude to Dr. Bruce for the amazing stories and guidance, the helpful and patient teaching assistants: Danielle and Nour, and OCB for the wonderful opportunity to participate in this course. This program is highly recommended to any marine scientists who want to do remote sensing studies or learn useful tools of Python and SeaDAS through UNIX environment for ocean studies.
Meg Yoder is a 4th year PhD student at Boston College. Her research focuses on the biological, chemical, and physical processes that govern the flux of carbon between the surface ocean, deep ocean, and atmosphere in the subpolar North Atlantic. Her current research in the Irminger Sea uses autonomous sensor data from Ocean Observatories Initiative including pH, pCO2, oxygen, and chlorophyll, as well as lab measurements.
On the course: The Cornell Ocean Satellite Remote Sensing course opened the door to satellite data for me, and not just for ocean color but sea surface temperature, wind, and altimetry data as well. I’m excited to integrate these new data sources and compare them to the in situ data I’m currently working with. The course was extremely well structured and well taught, I can’t thank Bruce, the TAs, and OCB for their support in participating enough!
James Lin is a second-year Ph.D. student in the Ocean Processes and Analysis Laboratory at the University of New Hampshire. Advised by Dr. Robert Letscher, his current project focuses on constraining the production, age, and biochemical fate of dissolved organic carbon (DOC) based on its sources (allochthonous vs autochthonous) and sinks (abiotic vs biotic) using isotope 13C and radiocarbon (14C) in the ocean biogeochemistry component (Marine Biogeochemistry Library- MARBL) of the Community Earth System Model V2 (CESM).
On the course: I am very happy to have taken the Cornell Satellite Remote Sensing 2023 workshop. A huge thank you to Dr. Bruce Monger and the supporting staff and TAs for their mentorship and patience in learning satellite imagery with Python. Learning how to access and process satellite data, such as sea surface temperature, altimetry, chlorophyll, and wind speed, is immensely valuable in my current carbon modeling research to provide long-term observations throughout the global ocean. I also appreciate meeting and getting to know other participants from different parts of the world working on Satellite-derived observations. This training workshop is a must to become a part of the Satellite Remote Sensing community. Thank you again to Dr. Bruce Monger, the Cornell workshop staff and participants, and Ocean Carbon & Biogeochemistry (OCB) for making this workshop experience unforgettable.
Mitch Torkelson is a 2nd year master’s student in Marine Science at the University of North Carolina-Wilmington. Under the guidance of Dr. Phil Bresnahan, his research primarily centers around assessing the accuracy of the SeaHawk CubeSat in measuring key oceanic water column constituents such as chlorophyll a and CDOM. His research interests lie in the field of water quality, where he utilizes bio-optical modeling and remote sensing techniques to conduct statistical analyses on the optically-detectable particles and sediments observed in satellite imagery captured near the Masonboro inlet, situated along the North Carolina coast.
On the course: I cannot praise the Ocean Color training program led by Bruce Monger enough. Prior to enrolling in the course, my knowledge of programming and ocean color satellite analysis was basic at best. However, after completing the 2 weeks, I emerged equipped with an entire new arsenal of skills and tools that not only will aid in the completion of my thesis research but also position me for success in my future endeavors!
Jessie Wynne is a 2nd year Master of Marine Science Student at the University of North Carolina Wilmington and is advised by Dr. Phil Bresnahan. Her research is focused on the development of low-cost water quality sensors as well as satellite water quality analysis. Jessie will be working with SeaHawk/HawkEye imagery and chlorophyll coastal analysis.
On the course: The Cornell Satellite Remote Sensing course was a fantastic experience. It provided me with so many tools to process satellite imagery, especially ocean dolor data. This course also equipped me with python programming skills. Dr. Bruce Monger was an excellent instructor, providing thorough explanations of satellite imagery analysis algorithms while being very patient with all questions directed his way. I really enjoyed this course and would recommend it to anyone pursuing satellite remote sensing and ocean color analysis. I would like to say thank you to Dr. Bruce Monger and OCB for this amazing experience!
Nick Baetge is a postdoctoral scholar in the laboratories of Dr. Michael Behrenfeld and Dr. Kimberly Halsey at Oregon State University. He has been examining variability in phytoplankton physiology and bio-optical properties over the day-night cycle using cultivation-based experiments and from publicly archived in situ data. He will soon be investigating the physiological and diversity-based responses of marine phytoplankton and bacterioplankton to wildfire ash deposition off the U.S. West Coast.
On the course: It can be hard for new ocean color data users to know how to approach remote sensing analyses, including coding in a different programming language. Dr. Monger breaks down the process and provides several resources that makes it less daunting for new users to start, giving them the confidence to use Python, retrieve level 1 satellite data, process it to level 3, and generate composite imagery from individual scenes. I left the Cornell Remote Sensing workshop with not only a new set of tools that I can continue to refine and use to view the oceans, but also some wonderful new colleagues and friends. Thank you so much to Dr. Monger, OCB, and all the course participants for the opportunity to connect and learn!
Marine Carbon Dioxide Removal: Essential Science and Problem Solving for Measurement, Reporting, and Verification Workshop
September 27-30, 2022 (The University of Rhode Island)
The central goal of this workshop is to build the OCB community's capacity to conduct research to support the Measurement, Reporting and Verification (MRV) of marine CDR by identifying priorities, pathways and best practices in this relatively new area.
Application deadline was August 1, 10am ET.
Learn more about the dual activity, and the workshop.
The US Carbon Cycle Science Program and the North American Carbon Program are in the midst of planning a workshop on research opportunities, partnerships and investments of Carbon Dioxide Removal (CDR). The intended workshop participants include funders, scientists, policy-makers and practitioners with expertise, resources and/or capabilities to inform federal CDR research opportunities, partnerships and investments related to air, land, coasts and societal dimensions of CDR.
This virtual workshop will be conducted on Monday August 1, 2022; Tuesday August 2, 2022; and Thursday August 4, 2022. (Friday August 12, 2022 – hold for work sessions if needed).
If you are interested in participating, and/or would like to provide input into the workshop planning, please complete this Expression of Interest Form.
Fish, Fisheries, and Carbon – 3-part international workshop
DATES: 6, 8, and 9 March 2023
1) Register for the workshop here
2) Sign up for the Zoom links below
The primary aims of this workshop are to:
The workshop is open to all stakeholders including NGOs, civil servants, fishers, food industry and researchers. There is no fee to register or attend. The workshop will occur virtually over three dates, all at different times to encourage global participation. All sessions will be recorded and made available after the workshop. Participants may sign up to any or all of the following sessions:
Session 1: Fish contribution to carbon flux
REGISTER for session 1 Zoom
WHEN: 6 March 2023: 0800 PST, 1100 EST, 1600 UTC (GMT), 0200 7 March AEST
Session 2: Fishery impacts on carbon sinks
REGISTER for session 2 Zoom
WHEN: 8 March 2023: 0700 PST, 1000 EST, 1500 UTC (GMT), 0100 9 March AEST
Session 3: Societal impacts when managing fish stocks to protect carbon
REGISTER for session 3 Zoom
WHEN: 9 March 2023: 1400 PST, 1700 EST, 2200 UTC (GMT), 0800 10 March AEST
Each session will include a combination of invited plenary talks, lightning talks, and interactive breakout sessions.
Learn more here
GO-BGC Executive Team*
On October 29, 2020 the National Science Foundation (NSF) approved a $53 million Mid-Scale Research Infrastructure (MSRI) grant to implement the Global Ocean Biogeochemistry (GO-BGC) Array – a sustained robotic network of profiling floats carrying chemical and biological sensors that will revolutionize our understanding of ocean biogeochemical cycles, carbon uptake, acidification, deoxygenation, and ecosystem health. Scientists at the Monterey Bay Aquarium Research Institute, University of Washington, Scripps Institution of Oceanography, Woods Hole Oceanographic Institution, and Princeton University will use this grant to build and deploy 500 biogeochemical (BGC) floats around the globe (Figure 1).
Figure 1. Float deployment numbers by ocean basin for an approximately even distribution of the 500 U.S. floats. Actual float deployment locations will depend on close collaboration with international partners in effort to achieve an even distribution of the total 1,000 international BGC floats.
An extension of the Argo network for temperature and salinity, GO-BGC floats will be equipped with nitrate, oxygen, pH, backscatter, chlorophyll fluorescence, and, when possible, irradiance sensors and will be distributed globally in open ocean waters deeper than 2,000 m. Floats will “park” at 1,000 m depth for nine days before profiling from 2,000 m to the sea surface, which is consistent with the Argo protocol. Data will be posted to the Argo Data Assembly Centers, as well as the GO-BGC website, within 24 hours of satellite telemetry of each float profile. These real-time data will be of research quality and freely available. As many floats as possible will be deployed in conjunction with ship-based validation measurements in order to support continuing improvements in data processing and sensor performance, as well as to quantify the accuracy of the float data.
The 500 floats in GO-BGC will represent half the desired global number of 1,000 floats proposed in the Biogeochemical Argo Science and Implementation Plan (BAPG, 2016) for a global BGC observing system. As occurs in the Core-Argo program, we anticipate that an additional 500 floats will be deployed by international partners in the coming years, and many efforts are already underway.
The NSF MSRI grant focuses solely on the implementation of GO-BGC infrastructure and does not include funding for research. Successful use of the array will depend on community engagement via proposal pressure to conduct research. We, therefore, strongly encourage community members to begin planning to submit proposals to utilize profiling float data. As the GO-BGC project is just beginning, no floats have reached the water yet. However, there is a quality controlled set of data from the Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) project, as well as a variety of other Biogeochemical-Argo data sets that are available now. These data sets have been used in numerous studies and they are available to the community as an initial asset and as a guide for future planning.
The GO-BGC array will be implemented in phases. Critical logistical partnerships in this endeavor include those with regional field programs and the International Global Ocean Ship-Based Hydrographic Investigation Program (GO-SHIP), from which many of the floats will be deployed. While research cruises have been impacted significantly by the recent 2020 COVID-19 pandemic, planning is still underway and information about where GO-BGC floats are likely to be deployed in the coming years will be critical in guiding research proposal efforts (Figure 2).
Figure 2. Known deployment opportunities from GO-SHIP cruises in the next five years (US GO-SHIP solid; international GO-SHIP dashed). Pink lines show additional Year 1 opportunities from cruises outside of GO-SHIP, some of which occur annually.
We will disseminate more information and answer questions from the community about the project and implementation plans during a virtual Town Hall at the AGU Fall Meeting in December, 2020.
*GO-BGC Executive Team:
Kenneth Johnson, MBARI
Stephen Riser, UW
Jorge Sarmiento, Princeton
Lynne Talley, Scripps
Susan Wijffels, WHOI
Heidi Cullen, MBARI
Andrea Fassbender, MBARI
George Matsumoto, MBARI
Yui Takeshita, MBARI
Alison Gray, UW
Sarah Purkey, Scripps
Todd Martz, Scripps
David Nicholson, WHOI
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Funding for the Ocean Carbon & Biogeochemistry Project Office is provided by the National Science Foundation (NSF) and the National Aeronautics and Space Administration (NASA). The OCB Project Office is housed at the Woods Hole Oceanographic Institution.