Responder Needs Addressed by Arctic Maritime Oil Spill Modeling
There is a greater probability of more frequent and/or larger oil spills in the Arctic region due to increased maritime shipping and natural resource development. Accordingly, there is an increasing need for effective spilled-oil computer modeling to help emergency oil spill response decision makers...
Published in: | Journal of Marine Science and Engineering |
---|---|
Main Authors: | , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doi.org/10.3390/jmse9020201 https://doaj.org/article/3875d84dbb6c4821acffc27fea626c11 |
id |
ftdoajarticles:oai:doaj.org/article:3875d84dbb6c4821acffc27fea626c11 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:3875d84dbb6c4821acffc27fea626c11 2024-01-14T10:03:42+01:00 Responder Needs Addressed by Arctic Maritime Oil Spill Modeling Jessica Manning Megan Verfaillie Christopher Barker Catherine Berg Amy MacFadyen Michael Donnellan Mark Everett Clifton Graham Jason Roe Nancy Kinner 2021-02-01T00:00:00Z https://doi.org/10.3390/jmse9020201 https://doaj.org/article/3875d84dbb6c4821acffc27fea626c11 EN eng MDPI AG https://www.mdpi.com/2077-1312/9/2/201 https://doaj.org/toc/2077-1312 doi:10.3390/jmse9020201 2077-1312 https://doaj.org/article/3875d84dbb6c4821acffc27fea626c11 Journal of Marine Science and Engineering, Vol 9, Iss 2, p 201 (2021) Arctic oil spill response modeling confidence visualization Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 article 2021 ftdoajarticles https://doi.org/10.3390/jmse9020201 2023-12-17T01:45:50Z There is a greater probability of more frequent and/or larger oil spills in the Arctic region due to increased maritime shipping and natural resource development. Accordingly, there is an increasing need for effective spilled-oil computer modeling to help emergency oil spill response decision makers, especially in waters where sea ice is present. The National Oceanic & Atmospheric Administration (NOAA) Office of Response & Restoration (OR&R) provides scientific support to the U.S. Coast Guard Federal On-Scene Coordinator (FOSC) during oil spill response. OR&R’s modeling products must provide adequate spill trajectory predictions so that response efforts minimize economic, cultural, and ecologic impacts, including those to species, habitats, and food supplies. The Coastal Response Research Center is conducting a project entitled Oil Spill Modeling for Improved Response to Arctic Maritime Spills: The Path Forward, in conjunction with modelers, responders, and researchers. A goal of the project is to prioritize new investments in model and tool development to improve response effectiveness in the Arctic. The project delineated FOSC needs during Arctic maritime spill response and provided a solution communicating sources of uncertainty in model outputs using a Confidence Estimates of Oil Model Inputs and Outputs (CEOMIO) table. The table shows the level of confidence (high, medium, low) in a model’s trajectory prediction over scenario-specific time intervals and the contribution of different component inputs (e.g., temperature, wind, ice) to that result. Article in Journal/Newspaper Arctic Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Journal of Marine Science and Engineering 9 2 201 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic oil spill response modeling confidence visualization Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 |
spellingShingle |
Arctic oil spill response modeling confidence visualization Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 Jessica Manning Megan Verfaillie Christopher Barker Catherine Berg Amy MacFadyen Michael Donnellan Mark Everett Clifton Graham Jason Roe Nancy Kinner Responder Needs Addressed by Arctic Maritime Oil Spill Modeling |
topic_facet |
Arctic oil spill response modeling confidence visualization Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 |
description |
There is a greater probability of more frequent and/or larger oil spills in the Arctic region due to increased maritime shipping and natural resource development. Accordingly, there is an increasing need for effective spilled-oil computer modeling to help emergency oil spill response decision makers, especially in waters where sea ice is present. The National Oceanic & Atmospheric Administration (NOAA) Office of Response & Restoration (OR&R) provides scientific support to the U.S. Coast Guard Federal On-Scene Coordinator (FOSC) during oil spill response. OR&R’s modeling products must provide adequate spill trajectory predictions so that response efforts minimize economic, cultural, and ecologic impacts, including those to species, habitats, and food supplies. The Coastal Response Research Center is conducting a project entitled Oil Spill Modeling for Improved Response to Arctic Maritime Spills: The Path Forward, in conjunction with modelers, responders, and researchers. A goal of the project is to prioritize new investments in model and tool development to improve response effectiveness in the Arctic. The project delineated FOSC needs during Arctic maritime spill response and provided a solution communicating sources of uncertainty in model outputs using a Confidence Estimates of Oil Model Inputs and Outputs (CEOMIO) table. The table shows the level of confidence (high, medium, low) in a model’s trajectory prediction over scenario-specific time intervals and the contribution of different component inputs (e.g., temperature, wind, ice) to that result. |
format |
Article in Journal/Newspaper |
author |
Jessica Manning Megan Verfaillie Christopher Barker Catherine Berg Amy MacFadyen Michael Donnellan Mark Everett Clifton Graham Jason Roe Nancy Kinner |
author_facet |
Jessica Manning Megan Verfaillie Christopher Barker Catherine Berg Amy MacFadyen Michael Donnellan Mark Everett Clifton Graham Jason Roe Nancy Kinner |
author_sort |
Jessica Manning |
title |
Responder Needs Addressed by Arctic Maritime Oil Spill Modeling |
title_short |
Responder Needs Addressed by Arctic Maritime Oil Spill Modeling |
title_full |
Responder Needs Addressed by Arctic Maritime Oil Spill Modeling |
title_fullStr |
Responder Needs Addressed by Arctic Maritime Oil Spill Modeling |
title_full_unstemmed |
Responder Needs Addressed by Arctic Maritime Oil Spill Modeling |
title_sort |
responder needs addressed by arctic maritime oil spill modeling |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doi.org/10.3390/jmse9020201 https://doaj.org/article/3875d84dbb6c4821acffc27fea626c11 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Journal of Marine Science and Engineering, Vol 9, Iss 2, p 201 (2021) |
op_relation |
https://www.mdpi.com/2077-1312/9/2/201 https://doaj.org/toc/2077-1312 doi:10.3390/jmse9020201 2077-1312 https://doaj.org/article/3875d84dbb6c4821acffc27fea626c11 |
op_doi |
https://doi.org/10.3390/jmse9020201 |
container_title |
Journal of Marine Science and Engineering |
container_volume |
9 |
container_issue |
2 |
container_start_page |
201 |
_version_ |
1788058413188513792 |