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Archive for Uncategorized

Implementation of the Global Ocean Biogeochemistry (GO-BGC) Array: Request for Community Engagement

Posted by mmaheigan 
· Thursday, November 5th, 2020 

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

NSF EarthCube Workshop for Ocean Time Series Data

Posted by mmaheigan 
· Monday, August 12th, 2019 
EarthCube Mtg Report cover

Download Workshop Report (PDF)

EarthCube time series -slider

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Venue and dates

Overview

Agenda

Participants

Organizers

Relevant resources

Venue and Dates

Venue: C-MORE Hale Center at the University of Hawai’i Mānoa campus  (PDF map), 1950 East West Road, Honolulu

The workshop commenced first thing in the morning on Friday, September 13 and ended at lunchtime on Sunday, September 15.

We are grateful to workshop sponsor NSF EarthCube and to the C-MORE Hale Center for hosting the workshop.

In preparation for this workshop, we developed a short survey to better understand the data challenges and needs of the ocean time series community.

View the survey results 

NSF EarthCube Workshop for Ocean Time Series Data
September 13-15, 2019 (Univ. Hawai’i, C-MORE Hale Center)

Rationale: Data synthesis and modeling efforts across ocean time-series represents an important and necessary step forward in broadening our view of a changing ocean and improving our return on investment in ocean time-series. Despite the advances achieved over the past decade, significant barriers remain that hinder work across time-series, including issues related to data access, discoverability, and metadata reporting. Furthermore, incorporation of ocean time series data into ocean and earth system models is currently limited due to the lack of a standardized data format and user interface

Scope and Goals: To begin addressing this problem, the Ocean Carbon and Biogeochemistry (OCB) Program (us-ocb.org) convened a small workshop with funding from NSF EarthCube in September 2019 (in conjunction with OceanObs19). The objective of the workshop was to conduct a gap analysis to identify missing data infrastructure that would increase time series data availability and use. This workshop aimed to provide a much-needed forum for discussion of key issues and barriers surrounding data discovery, access, and interoperability.

Participants strategized a path forward on the development of a common framework for shipboard ocean time series data and metadata reporting, and data management resources. The overarching objective of this workshop was to move the shipboard ocean time series community toward a Findable, Accessible, Interoperable and Reusable (“FAIR”) model.
Topics of discussion included (but not limited to) the following ocean time series cyber-infrastructure challenges:

- Establishing a common data model for reporting core time series variables (e.g., definitions, vocabulary, units, precision, associated errors, etc.)

- Establishing standardized metadata reporting guidelines and required fields to facilitate data discovery and re-use

- Improving interoperability among different databases/portals

- Mechanisms to streamline and simplify data submission to oceanographic data management entities (e.g., automation of the time-series data acquisition/upload process)

- Vision and framework for a dedicated time-series data interface that also includes user-friendly visualization and computation options

- Meeting the needs of a broader range of users for data synthesis and information products emerging from ocean time-series

- Application of unique identifiers (such as DOIs) to data sets to enable citation and crediting of data providers

Ocean Time Series Data Workshop Agenda

September 13-15, 2019
C-MORE Hale Center, Honolulu, HI

 

Friday, September 13

8:00-9:00   Breakfast
9:00-9:30   Welcome (Heather Benway, OCB/WHOI) and introductions around the room

PLENARY SESSION
Introduction/overview talks (15 min. talks with 5 mins. for Qs)
9:30   EarthCube overview (Danie Kinkade, BCO-DMO/WHOI)
9:50   FAIR data principles and initiatives (ENVRI-FAIR, GO-FAIR, Enabling FAIR data, etc.) (Justin Buck, BODC/NOC and Steve Diggs, UCSD/SIO)
10:10   Time series data challenges that hinder science (Angelicque White, UH)
10:30-10:45   Break

Insights from current data models (12 min. talks with 3 mins. for Qs)
10:45     Interconnecting ocean time series efforts and frameworks (Laura Lorenzoni, NASA)
11:00     Moving towards FAIR data principles with ERDDAP (Kevin O’Brien, NOAA/PMEL)
11:15     The Ocean Observatories Initiative (OOI) approach to data and metadata (Wendi Ruef, Univ. Washington)
11:30     The international OceanSITES Eulerian Observing network (Johannes Karstensen, GEOMAR)
11:45     Use of controlled vocabularies: Potential applications to time series data (Adam Shepherd, BCO-DMO)
12:00     Integrated Carbon Observation System (ICOS) Ocean Thematic Centre (OTC) (Benjamin Pfeil, Univ. Bergen)
12:15     Ocean Best Practices (Johannes Karstensen, GEOMAR)
12:30-1:30    Lunch

Time series data integration and products (15 min. talks with 5 mins. for Qs)
1:30   Tools and approaches to facilitate data synthesis (Mark Schildhauer, NCEAS/UCSB)
1:50   International Group for Marine Ecological Time Series (IGMETS) overview and challenges (Laura Lorenzoni, NASA/USF)
2:10   Carbon relevant ship-based time series station synthesis – A data product pilot (Nico Lange, Univ. Bergen)

2:30-5:00   Small group discussions (participants self-select, coffee will be available if needing a break)

Group 1. Establishing a common data model for reporting core time series variables (e.g., definitions, vocabulary, units, precision, associated errors, etc.) (Chair: Justin Buck, Auditorium)

Group 2. Improving interoperability among different databases/portals for time series data (Chair: Mark Schildhauer, Agora Room)

5:00   Adjourn for the day, dinner on your own

Saturday, September 14

8:00-9:00   Breakfast
9:00   Group 1-2 report outs  (15 mins. for each chair)
9:30   Group discussion
10:00-12:30   Small group discussions (participants self-select, coffee will be available if needing a break)

Group 3. Establishing standardized metadata reporting guidelines and required fields to facilitate time series data discovery and re-use (Chair: Angel White, Auditorium)

Group 4. Streamlining and simplifying time series data submission (Chair: Danie Kinkade, Agora Room)

12:30-1:30   Lunch
1:30   Group 3-4 report outs  (15 mins. for each chair)
2:00   Group discussion

2:30-5:00   Small group discussions (participants self-select, coffee will be available if needing a break)

Group 5. Application of unique identifiers (such as DOIs) to enable time series data citation and credit to be attributed to data providers (Chair: Adam Shepherd, Table Outside)

Group 6. Meeting the needs of a broader range of users for data synthesis and information products emerging from ocean time-series (Chair: Laura Lorenzoni, Auditorium)

Group 7. Designing the ultimate time-series data interface that also includes user-friendly visualization and computation options (Chair: Lance Fujieki, Agora Room)

5:00   Adjourn for the day
6:30-8:30   Group dinner (Tiki’s Grill and Bar, 2570 Kalakaua Ave)

Sunday, September 15

8:00-9:00   Breakfast
9:00   Group 5-7 report outs  (15 mins. for each chair)
9:45   Group discussion
10:15   Break

10:30   Participants assist chairs to finish compiling recommendations from small groups and discuss format/outcomes (participants self-select for one breakout topic to assist with)

11:30   Full group discussion (issues and remaining Qs, next steps, assignments, etc.) – considering the following:

- Format of recommendations (best practices) – Ocean Best Practices to codify once finalized

- EarthCube guidelines/requirements?

- Dissemination to time series community for feedback

- Opportunities for peer-reviewed publication(s)

12:00   Closing remarks and adjourn
12:30   Lunch

Workshop participants

Jose Abella-Gutiérrez
jabella@cigom.org

Andrew Barna
abarna@ucsd.edu

Heather Benway
hbenway@whoi.edu

Annie Bourbonnais
abourbonnais@seoe.sc.edu

Justin Buck
juck@bodc.ac.uk

B. B. Cael
bbcael@hawaii.edu

Pat Caldwell
patrick.caldwell@noaa.gov

Fernando Carvalho Pacheco
fcarvalho.pacheco@gmail.com

Tara Clemente
tclement@hawaii.edu

Kim Currie
kim.currie@niwa.co.nz

Bjoern Fiedler
bfiedler@geomar.de

Lance Fujieki
fujieki@hawaii.edu

Ralf Goericke
rgoericke@ucsd.edu

Adriana Gonzalez Silvera
adriana.gonzalez@uabc.edu.mx

Joseph Gum
jgum@ucsd.edu

Dana Hunt
dana.hunt@duke.edu

Robert Izett
rizett@eoas.ubc.ca

David Karl
dkarl@hawaii.edu

Johannes Karstensen
jkarstensen@geomar.de

Danie Kinkade
dkinkade@whoi.edu

Nico Lange
Nico.Lange@uib.no

Ricardo Letelier
letelier@coas.oregonstate.edu

Laura Lorenzoni
laura.lorenzoni@nasa.gov

Mai Maheigan
mmaheigan@whoi.edu

David Nicholson
dnicholson@whoi.edu

Kevin O'Brien
kevin.m.o'brien@noaa.gov

Ben Pfeil
benjamin.pfeil@uib.no

Al Plueddemann
aplueddemann@whoi.edu

James Potemra
jimp@hawaii.edu

Janne-Markus Rintala
janne-markus.rintala@icos-ri.eu

Wendi Ruef
wruef@uw.edu

Mark Schildhauer
schild@nceas.ucsb.edu

Adam Shepherd
ashepherd@whoi.edu

Jim Todd
james.todd@noaa.gov

Ian Walsh
iwalsh@seabird.com

Angelicque White
aewhite@hawaii.edu

Timothy Whiteaker
whiteaker@utexas.edu

Workshop organizing committee

Heather Benway, Mai Maheigan, Mary Zawoysky (Woods Hole Oceanographic Inst./OCB)

Justin Buck (National Oceanography Centre/British Oceanographic Data Centre)

Rod Johnson (Bermuda Inst. Ocean Sciences/Bermuda Atlantic Time series Study)

Danie Kinkade, Adam Shepherd (Woods Hole Oceanographic Inst./BCO-DMO)

Laura Lorenzoni (NASA, Univ. South Florida)

Mark Schildhauer (Univ. California, Santa Barbara, National Center for Ecological Analysis and Synthesis, NCEAS)

D. Sarah Stamps (Virginia Tech Univ./EarthCube liaison)

Angelicque White (Univ. Hawai'i, Hawaii Ocean Time series)

NSF liaisons

Hedy Edmonds (NSF Chemical Oceanography)

Mike Sieracki (NSF Biological Oceanography)

Relevant resources

Armstrong EM, et al (2019) An Integrated Data Analytics Platform. Front. Mar. Sci. 6:354. doi: 10.3389/fmars.2019.00354

Bailey K, et al (2019) Coastal Mooring Observing Networks and Their Data Products: Recommendations for the Next Decade. Front. Mar. Sci. 6:180. doi: 10.3389/fmars.2019.00180

Benway HM, et al (2019) Ocean Time Series Observations of Changing Marine Ecosystems: An Era of Integration, Synthesis, and Societal Applications. Front. Mar. Sci. 6:393. doi: 10.3389/fmars.2019.00393

Buck JJH, et al (2019) Ocean Data Product Integration Through Innovation-The Next Level of Data Interoperability. Front. Mar. Sci. 6:32. doi:10.3389/fmars.2019.00032

deYoung B, et al (2019) An Integrated All-Atlantic Ocean Observing System in 2030. Front. Mar. Sci. 6:428. doi: 10.3389/fmars.2019.00428

EarthCube Resources:

- EarthCube Resource Registry Presentation - https://drive.google.com/file/d/1dwIUliAurfFstWRSiY74UBoUSaJYlVvc/view

- Main GitHub Organization - https://github.com/earthcubearchitecture-ecresourcereg

Kaiser BA, et al (2019) The Importance of Connected Ocean Monitoring Knowledge Systems and Communities. Front. Mar. Sci. 6:309. doi: 10.3389/fmars.2019.00309

Pearlman J, et al (2019) Evolving and Sustaining Ocean Best Practices and Standards for the Next Decade. Front. Mar. Sci. 6:277. doi: 10.3389/fmars.2019.00277

Snowden D, et al (2019) Data Interoperability Between Elements of the Global Ocean Observing System. Front. Mar. Sci. 6:442. doi: 10.3389/fmars.2019.00442

Steinhoff T, et al (2019) Constraining the oceanic uptake and fluxes of greenhouse gases by building an ocean network of certified stations: the ocean component of the Integrated Carbon Observation System, ICOS-Oceans. Front. Mar. Sci. 6, doi: 10.3389/fmars.2019.00544

Tanhua T, et al (2019) Ocean FAIR Data Services. Front. Mar. Sci. 6:440. doi: 10.3389/fmars.2019.00440

Science Highlight guidelines

Posted by mmaheigan 
· Friday, May 25th, 2018 

Your science highlight should use a narrative style and active voice to engage the reader (no verbatim sentences from your abstract or paper).

Your target audience is a broad scientific readership. You may submit one figure that conveys the key point of the paper, with a succinct caption. The figure (separate high res file) must be modified slightly from its published version to avoid copyright issues.

The text should include the following:

- A catchy title to draw in your reader

- Opening statement highlighting an unknown or a question (1-2 sentences)

- Key results/findings and approaches (with link to article) (3-4 sentences)

- What are the broader implications of this work? Why should federal/state/local gov't, funding agencies, citizens, stakeholders, educators, etc. care?  (1-2 sentences)

- Author name(s) and affiliation(s) - Style: Sam Smyth (University of Carbon)

- Twitter handles of authors and/or labs/institutions

Short backstories are welcome!

We schedule highlights as received and go through one round of editing before publication. Generally it's 2-3 months between sending a highlight and the next open publication date due to current volume. We look forward to receiving your piece! Questions?

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