[media-caption type="image" class="external" path="https://oceanobservatories.org/wp-content/uploads/2020/10/Screen-Shot-2020-10-07-at-4.52.42-PM.png" alt="Irminger Sea with ship" link="#"]The OOI surface buoy (shown here in 2018 being serviced by the WHOI-operated research vessel Neil Armstrong) is helping to provide crucial verification of USV and satellite-based models of air-sea interaction in difficult-to-reach high-latitude waters of the North Atlantic and Arctic Oceans. Credit: James Kuo ©Woods Hole Oceanographic Institution.[/media-caption]

Researchers at Woods Hole Oceanographic Institution (WHOI) were recently awarded a $500,000 grant from the National Oceanic and Atmospheric Administration’s (NOAA) Climate Observations and Monitoring (COM) program to develop machine learning tools to improve estimates of air-sea heat exchange in the Arctic Ocean and adjacent seas. These tools are expected to fill critical gaps in climate models, which currently show large disparities when simulating the rate of polar ice melt.

Recent advances in remote sensing technologies have provided researchers with the data they need to better understand the forces behind Arctic ice melt and the implications of that heat exchange between the ocean and the atmosphere. These real-world measurements will allow researchers to develop algorithms that will validate and improve satellite-based modeling of the Arctic and subarctic regions.

Due to the difficulty of accessing the Arctic Ocean—especially during the stormy winter months—and the complexity of measuring air-sea heat exchanges, there has previously not been enough quality data to incorporate ice melt and seasonal changes into climate models. This challenge was overcome by recent advances in long-term remote data collection at high latitudes. For the first time in 2019, an Ocean Observatories Initiative (OOI) surface buoy in the Irminger Sea collected over a year’s worth of sensor data, including icy and windy winter conditions. Located in an important area of ocean circulation, the data collected from the OOI surface buoy provides critical verification for satellite-based models.

Lisan Yu, a WHOI senior scientist and the project’s principal investigator, said a machine learning-based framework will improve the accuracy of ocean-surface forcing estimates used to model the global climate. She said it will also improve the accuracy of ice and weather forecasts in a region that is rapidly opening up to commercial exploration. WHOI Senior Scientist Al Plueddemann, who also serves as a co-principal investigator for OOI and project lead for its Coastal and Global Nodes, is a collaborator on this project.

Read the full release here.

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[media-caption type="image" class="external" path="https://oceanobservatories.org/wp-content/uploads/2020/10/PMUO-deployment.jpg" alt="PMUO Deployment" link="#"]OOI is a science-driven ocean observing network that delivers real-time data from more than 800 instruments to address critical science questions regarding the world’s ocean. Credit: Rebecca Travis ©Woods Hole Oceanographic Institution.[/media-caption]

The National Science Foundation’s Ocean Science Division (OCE) announced plans to launch a postdoctoral research fellowship program later this fall.   Assistant Director for Geosciences William E. Easterling noted that such fellowship programs often serve as launching pads for successful careers. He also encouraged applications that incorporate existing data offered by NSF-funded program such as the Ocean Observatories Initiative.

OCE anticipates awarding about 15 postdoctoral fellowships that will start in mid-2021 or later. Selected fellows will affiliate with a research institution and conduct research on topics supported by OCE.

The Ocean Observatories Initiative offers potential applicants the opportunity to avail themselves of targeted and long-term ocean data and provides useful resources that can aid in the development of  proposals that incorporate OOI data. OOI, for example, offers webinars on how to add instruments or platforms to its infrastructure. Opportunities for ship-time experiences, as well as possibilities to modify or add to existing OOI sampling to help answer research questions.  OOI also offers tools to incorporate OOI data into research, including a recently launched Data Explorer tool that makes it easy to download and visualize datasets and customize data views.

We will keep an eye out for further information about this OCE program.  In the meantime, we encourage you to contact OOI’s HelpDesk to begin to discuss and explore the many opportunities that exist to integrate OOI data into a fellowship application.

 

 

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Two entrepreneurs and two engineers recently teamed up to develop a wave-based energy generator with the potential of powering the Pioneer Array, while also providing energy to a new, longer lasting, and potentially more effective way to keep the array’s sensors free and clear.

The Department of Energy thought the idea had such potential that it awarded the team a Small Business Technology Transfer (STTR) grant that will allow them to develop a proof of concept of this system by late March 2021.

The development team consists of grant Co-Investigator Matt Palanza, program engineer for the Ocean Observatories Initiative (OOI) at Woods Hole Oceanographic Institution (WHOI), Megan Carroll, a research engineer at WHOI and expert in the dynamics of moored systems, and Principle Investigator Julie Fouquet and Co-Investigator Milan Minsky, principals of 3newable, LLC, a firm dedicated to the development of small-scale wave energy converters.  Fouquet started by developing and testing wave energy converter concepts on land, to choose an efficient, low-cost and flexible approach.  Minsky brings to the team extensive experience in developing first-generation ultraviolet LEDs for medical and industrial applications that she will put to good use in designing a system to tackle serious biofouling conditions that plague all equipment put into the ocean for extended periods.

“The concept of harnessing wave energy at the Pioneer Array, then powering an ultraviolet LED anti-fouling light, which could possibly keep the array functioning much longer, would be a win-win. If this combination is proven here, it could have widespread application in oceanographic research and aquaculture applications, with tremendous potential for cost savings,” said Palanza.

Striving for Good Environmental Outcomes

Julie Fouquet founded 3newable LLC in 2015 with the goal of capturing electrical power from water waves as a source of renewable power. Previously, companies wanting to commercialize wave energy generation had failed while attempting to build utility scale systems, which were extremely costly. Years of experience in the semiconductor industry taught Fouquet that product development requires multiple design-build-test-redesign cycles. Companies developing utility-scale systems ran out of money before reaching a viable product. She chose to focus her efforts on developing an efficient and cost-effective small-scale wave energy converter that could fit into the back of an SUV and on a runabout boat.

Having worked together for decades, she and Minsky – now vice president of product at 3newable – teamed up to find out what sort of applications in the oceanographic community could use a small-scale wave energy converter.

After many meetings, they concluded that the Pioneer Array buoys would be a good testing ground. Palanza agreed and the team set out to write a proposal that would capitalize on their collective talents to provide a potential real-world application of wave energy and anti-biofouling technology.

The Pioneer Array buoys are already powered by wind and solar, but the wave energy converter offers a way to keep the sensors clear and recording for longer time periods using UV LED lights, possibly extending trip intervals needed to service the arrays.

Like most things in spring 2020, COVID caused delays in the launch of this project. DOE announced the award in May, but the actual award was delayed until early August, which potentially squeezes the March deadline for producing the feasibility study.  From there, the team hopes to move forward to Phase 2, which would involve construction of both the wave energy conversion and UV anti-fouling prototypes and testing in the field.

“We are already working in a distributed way with processes in place so COVID hasn’t impacted our progress in analyzing data and developing lab tests,“ said Minsky. “But the interesting thing about the pandemic is that it has really propelled the UV LED field along as people explore its potential medical uses. Prices are dropping and quality is going up so we will be able to take advantage of these advances as we go about commercializing this module.”

During Phase 1, the team will be striving to answer the following questions:

·      How much power is needed to run UV anti-biofouling equipment at the array?

·      Can enough power be generated to meet the demand?

·      How big of a wave energy converter unit will be needed?

·      What are the unit size limitations if attached to the array?

“We all are excited to get this project launched. There’s a real need for improved anti-biofouling technology, and with the emergence of UV LEDs powered by waves onsite, it’s a sound solution with a potentially positive environmental impact, “added Palanza.

 

 

 

 

 

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The Ocean Observatories Initiative Facility Board (OOIFB) will host a workshop focusing on current and future science addressed by the OOI infrastructure in the northeast Pacific.  The workshop is aimed at researchers and resource managers who are using or are considering using OOI data, researchers interested in adding instrumentation to the OOI infrastructure, and educators at all levels interested in OOI’s Cabled, Endurance, and Station Papa Arrays.

The workshop will inform the oceanographic community of the science capabilities and new technologies offered by the OOI and other observatory arrays located in the northeast Pacific. An overview of OOI data products, user interfaces, and system features will be provided along with hands-on demonstrations using a suite of data access tools. OOI Program team members and NSF representatives will be on hand to answer questions and provide information on OOI operations.

This community workshop will provide a forum to facilitate science collaborations and identify strategies for engaging future users of OOI.  Workshop participants will have the opportunity to provide feedback on their experiences in working with the OOI systems and data.

The workshop will be held at the OSU Portland Center in Portland, OR on June 23-25, 2020.  To apply for the workshop, please complete the on-line application form. Travel support is available, but limited.  Broad representation from institutional, geographic, and disciplinary groups is desired and will be considered in participant selection. The deadline for applications is April 5, 2020.

To apply, click here.

Participation by Web Conference will be offered

Please note if you are unavailable to attend this workshop, participation by web-conference will also be possible.  Individuals interested in participating virtually are encouraged to complete the on-line application form.  This will help us to better understand our participant interests.

Special note:  Although we plan to hold the workshop on June 23-25 in Portland, OR, we will continue to monitor news and guidance regarding the Coronavirus (COVID-19) outbreak.  Plans for the workshop will be adjusted as needed in consideration of any Center for Disease Control guidance in the coming weeks.

Additional details about the workshop are available here.

 

 

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The Ocean Sciences Division of the National Science Foundation (NSF) issued a “Dear Colleague letter” on 18 February to encourage wider use of the OOI data by supporting workshops, conferences or other training events to introduce researchers and educators to available data and community tools.

NSF is encouraging researchers or educators to propose workshops, conferences or other training events to 1) teach other researchers or educators how to use available tools and data; 2) develop additional community tools or instructional material to use the OOI data; or 3) create communities of practice that use the data for multi-investigator, community-driven research purposes. The goal of such activities is to promote development and dissemination of the OOI data tools and research opportunities.

Two- and four-year U.S. institutions of higher education and U.S. non-profit non-academic organizations are eligible to submit relevant proposals.

NSF intends to support about 15-20 awards in FY2020. Proposals may be submitted at any time, but at least six months prior to the planned event. To be considered for FY2020 funding, proposals should be submitted before May 15th. Submission details are available here.

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