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Author Archive for mmaheigan – Page 9

Join us at AGU Dec 14

Posted by mmaheigan 
· Wednesday, December 6th, 2023 

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

Fishing Vessel Ocean Observing Network (FVON) reimagines the global data collection paradigm

Posted by mmaheigan 
· Friday, December 1st, 2023 

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))

Want to improve the spatiotemporal coverage of coastal water clarity? This approach combines high-resolution satellite data with low-cost in situ methods

Posted by mmaheigan 
· Friday, December 1st, 2023 

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

New evidence suggests that tiny zooplankton might be the biggest problem with carbon cycling in IPCC climate models

Posted by mmaheigan 
· Friday, December 1st, 2023 

The ocean is the most important sink of anthropogenic emissions and is being considered as a medium to manipulate to draw down even more. Essential in the ocean’s role as a natural carbon-sponge is the net production of organic matter by phytoplankton, some of which sinks and is stored for 100s-1000s of years. Successfully simulating this biological carbon pump is essential for projecting any climate scenario, but it appears that massive uncertainties in the way zooplankton consume phytoplankton are compromising predictions of future climate and our assessment of some strategies to deliberately engineer it.

Figure caption. Grazing pressure is largest source of uncertainty for marine carbon cycling in CMIP6 models a) The global and zonal median winter grazing pressure is shown for all models. b) the coefficient of variation across models (std/mean) is largest for grazing pressure compared 14 major terms in the marine carbon cycle.

A new publication in Communications Earth and Environment explains how our poor understanding of zooplankton biases our best projections of marine carbon sequestration. We compared 11 IPCC climate models and found zooplankton grazing is largest source uncertainty in marine carbon cycling. This uncertainty is over three times larger than that of net primary production and is driven by large differences in different models assumptions about the rate at which zooplankton can consume phytoplankton. Yet, very small changes in zooplankton grazing dynamics (roughly only 5% of the full range used across IPCC models) can increase carbon sequestrations by 2 PgC/yr, which is double the maximum theoretical potential of Southern Ocean Iron Fertilization! Moving forward, to move beyond merely treating zooplankton as a closure term, modelers must look towards novel observational constraints on grazing pressure.

Authors
Tyler Rohr, Anthony J. Richardson, Andrew Lenton, Matthew A. Chamberlain, and Elizabeth H. Shadwick

 

See also the Conversation article

Size does matter: larger krill leads to more POC export in the West Antarctic Peninsula

Posted by mmaheigan 
· Friday, December 1st, 2023 

Despite the importance of particulate organic carbon (POC) export on carbon sequestration and marine ecology, there have been few multi-decade studies in the world’s oceans. A new analysis published in Nature analyzed two decades of POC export data in the West Antarctic Peninsula and found that export oscillates on a 5-year cycle.

Figure caption: A) Particulate organic carbon (POC) export oscillates on a 5-year timescale in sync with the oscillation in the body size of the krill Euphausia superba on the West Antarctic Peninsula. B) POC export is significantly correlated with krill body size (p = 0.01).

Using a unique combination of krill data from penguin diet samples and net tows over two decades, Trinh et al. found that the cycle of POC export is intimately tied to the Antarctic krill (Euphausia superba) life cycle, as the bulk of the POC in their sediment traps was krill fecal pellets. Surprisingly, more krill did not lead to more POC export. Instead, when the krill population size was smaller but dominated by larger, older adults, POC export increased.

E. superba is the longest-lived (5-6 years) and largest krill species. They exhibit continuous annual growth throughout their life cycle. After about five years a krill population reaches its end stage and the population size is at a minimum. This end-stage population is composed of large, 50-60 mm long individuals that produce large, fast-sinking fecal pellets, leading to increased POC export. Increasing temperatures and deterioration of sea ice cover during the winter season due to climate change will likely impact the recruitment of new cohorts of krill and their success in replenishing aging populations. It is unclear how changes in the krill population and life cycle will impact long-term carbon sequestration on the West Antarctic Peninsula and nutrients exported to the benthic ecosystem

Authors:
Rebecca Trinh (Lamont Doherty Earth Observatory, Columbia University)
Hugh Ducklow (Lamont Doherty Earth Observatory, Columbia University)
Deborah Steinberg (Virginia Institute of Marine Science, College of William and Mary)
William Fraser (Polar Oceans Research Group)

 

Registration is open: Pathways Connecting Climate Changes to the Deep Ocean Workshop

Posted by mmaheigan 
· Friday, October 20th, 2023 

Pathways Connecting Climate Changes to the Deep Ocean: Tracing physical, biogeochemical, and ecological signals from the surface to the deep sea (OCB/US CLIVAR joint workshop)

April 23-25, 2024 (University of Delaware, Virden Center) 

Workshop website

This workshop will bring together observational oceanographers and modelers across physical, biogeochemical, and ecological communities to assess our understanding of pathways connecting the surface to the seafloor and to develop recommendations for improved detection and attribution of change in the global deep ocean system.
Workshop goals:

  1. Provide an updated comprehensive assessment of the deep ocean’s state and changes across disciplines, of key quantities in which these changes are expressed, and of  pathways and timescales connecting the surface to the seafloor.
  2. Review existing observation and modeling tools and their adequacy for constraining, understanding, and attributing changes in the deep ocean system. Identify critical knowledge and observational data gaps and model deficiencies.
  3. Develop a collective set of recommendations for improved detection and attribution of change in the global deep ocean system, with a focus on better serving and supporting deep ocean science across disciplines.
  4. Build an interdisciplinary network of ocean modelers and observers across disciplines. Our aim is to open communication channels and facilitate collaborative exchange of data, knowledge, and tools across communities.

The workshop welcomes the participation of scientists from fields across the ocean observing and modeling communities, spanning physics, biogeochemistry, and ecology. We welcome insights from highly localized to global-scale studies as well as efforts focused on individual disciplines, but we strongly encourage all participants to consider how their work can increase opportunities for other disciplines/communities to have a collective impact.

We also encourage participation from relevant oceanographic networks and observing campaigns (e.g., Deep Argo, BGC Argo, GO-SHIP (Global Ocean Shipboard Hydrographic Investigations Program) and Bio-GO-SHIP, JETZON (Joint Exploration of the Twilight Zone Ocean Network), ECCO and ECCO-Darwin (Estimating the Circulation and Climate of the Ocean), DOSI (Deep Ocean Stewardship Initiative), Challenger-150, PICES (North Pacific Marine Science Organization) to ensure broad disciplinary representation and connectivity to established programs.

Scientific Organizing Committee
Xinfeng Liang (Univ. Delaware), Monique Messié (MBARI), Leslie Smith (Your Ocean Consulting LLC, DOOS), Isabela Le Bras (WHOI), Patrick Heimbach (Univ. Texas, Austin), Helen Pillar (Univ. Texas, Austin), Zachary Erickson (NOAA/PMEL), Charlie Stock (NOAA/GFDL)

International FAIR Data Workshop POSTPONED

Posted by mmaheigan 
· Tuesday, October 10th, 2023 

International Workshop: FAIR Data Practices for Ship-based Ocean Time Series

DATES POSTPONED

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:

  • Elevating the visibility and utility of these observing assets for understanding climate-ecosystem links
  • Improving coordination, communication, and scientific synthesis products across ocean time series programs/sites
  • Building consensus on foundational components such as methods and FAIR data practices

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:

  • Share and vet newly drafted biogeochemical and biological use cases for adoption by the broader METS community
  • Work with participating time series representatives to implement these use cases for their time series programs
  • Co-develop best practices for responsible use of ocean time series datasets (as a contribution to the Ocean Best Practices System repository)
  • Share new findings and update recommendations on sampling and analytical protocols from the 2012 Bermuda Time Series Methods Workshop
  • Explore mechanisms (and identify champions!) for engaging broader stakeholders (managers, educators, etc.) in the use of ocean time series data sets
  • Start planning (and identify champions!) for an Ocean HackWeek for ocean time series data

Get Involved with BECS – Benthic Ecosystem & Carbon Synthesis

Posted by mmaheigan 
· Friday, September 8th, 2023 

Get Involved in OCB Benthic Ecosystem & Carbon Synthesis!

The OCB Benthic Ecosystem and Carbon Synthesis (BECS) Working Group is aimed at understanding the carbon cycle and ecosystems within the land-to-ocean aquatic continuum by improving our understanding of related benthic processes and their representation in ocean and climate models.

The BECS working group is seeking
1) 15 new members - nominate or apply by October 6

2) Give input to guide the working group's activities and focus by October 6
3) Call for speakers for webinar series (ongoing)

Find details on the working group webpage.

MarChemSpec – tutorial and resources

Posted by mmaheigan 
· Tuesday, September 5th, 2023 

These easy-to-use models are for the calculation of:
• Acid-base equilibria, seawater state parameters, and CaCO3 saturation in natural waters containing the ions of seawater
• Inorganic complexation of trace metals Al, Cd, Co, Cu(II), Fe(II), Fe(III), Mn, Ni, Pb and Zn 
in natural waters

The natural waters of the world do not just consist of seawater of varying salinity. It is important to be able to estimate the influence of changing natural water composition on equilibria and to understand the effects of anthropogenic change in a range of environments. These models help us to do that.

Please visit marchemspec.org for more information about MarChemSpec, our published papers, and for software downloads.

Watch recorded lectures on the MarChemSpec YouTube playlist.

A suite of CO2 removal approaches modeled for the 1.5 ˚C future

Posted by mmaheigan 
· Thursday, August 31st, 2023 

Carbon dioxide removal (CDR) is “unavoidable” in efforts to limit end-of-century warming to below 1.5 °C. This is because some greenhouse gas emissions sources—non-CO2 from agriculture, and CO2 from shipping, aviation, and industrial processes—will be difficult to avoid, requiring CDR to offset their climate impacts. Policymakers are interested in a wide variety of ways to draw down CO2 from the atmosphere, but to date, the modeling scenarios that inform international climate policies have mostly used biomass energy with carbon capture and storage (BECCS) as a proxy for all CDR. It is critical to understand the potential of a full suite of CDR technologies, to understand their interactions with energy-water-land systems and to begin preparing for these impacts.

Figure caption: Each of the six carbon dioxide removal approaches identified in recent U.S. legislation and modeled for this study could bring unique benefits and tradeoffs to the energy-water-land system. This image depicts afforestation, direct ocean capture, direct air capture, biochar, enhanced weathering, and bioenergy with carbon capture and storage in clockwise order. Floating carbon dioxide molecules hover above the landscape (image credit: Nathan Johnson, PNNL).

A recent study published in the journal Nature Climate Change was the first to model six major CDR pathways in an integrated assessment model. The modeled pathways range from bioenergy with carbon storage and afforestation (already represented by most models), also direct air capture, biochar and crushed basalt spreading on global croplands, and electrochemical stripping of CO2 from seawater aka direct ocean capture. The removal potential contributed by each of the six pathways varies widely across different regions of the world. Direct ocean capture showed the smallest removal potential but has important potential synergies with water desalination. This method could help arid regions such as the Middle East meet their water needs in a warming world. Enhanced weathering has much larger (GtCO2-yr-1) removal potential and could potentially help ameliorate ocean acidification. Overall, similar total amounts of CO2 are removed compared to other modeling scenarios, but broader set of technologies lessens the risk that any one of them would become politically or environmentally untenable.

Authors:
Jay Fuhrman  (Joint Global Change Research Institute)
Candelaria Bergero (Joint Global Change Research Institute)
Maridee Weber (Joint Global Change Research Institute)
Seth Monteith (ClimateWorks Foundation)
Frances M. Wang (ClimateWorks Foundation)
Andres F. Clarens (University of Virginia)
Scott C. Doney (University of Virginia)
William Shobe (University of Virginia)
Haewon McJeon (Joint Global Change Research Institute )

Twitter: @pnnlab @climateworks @uva

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