Innovative Real-Time Observing Capabilities for Remote Coastal Regions
Remote regions across Alaska are challenging environments for obtaining real-time, operational observations due to lack of power, easy road access, and robust communications. The Alaska Ocean Observing System partners with government agencies, universities, tribes and industry to evaluate innovative...
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doaj-a68f83c8bb544ea4be1de1b51074c8242020-11-24T20:45:40ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452019-05-01610.3389/fmars.2019.00176434308Innovative Real-Time Observing Capabilities for Remote Coastal RegionsCarol Janzen0Molly McCammon1Thomas Weingartner2Hank Statscewich3Peter Winsor4Seth Danielson5Rebecca Heim6Alaska Ocean Observing System, Anchorage, AK, United StatesAlaska Ocean Observing System, Anchorage, AK, United StatesCollege of Fisheries and Ocean Sciences, University of Alaska, Fairbanks, AK, United StatesCollege of Fisheries and Ocean Sciences, University of Alaska, Fairbanks, AK, United StatesWorld Wild Life Fund, Ontario, CA, CanadaCollege of Fisheries and Ocean Sciences, University of Alaska, Fairbanks, AK, United StatesNational Oceanic and Atmospheric Administration – National Weather Service, Anchorage, AK, United StatesRemote regions across Alaska are challenging environments for obtaining real-time, operational observations due to lack of power, easy road access, and robust communications. The Alaska Ocean Observing System partners with government agencies, universities, tribes and industry to evaluate innovative observing technologies, infrastructure and applications that address these challenges. These approaches support acquisition of ocean observing data necessary for forecasting and reporting conditions for safe navigation and response to emergencies and coastal hazards. Three applications are now delivering real-time surface current, sea ice, and water level data in areas not possible a mere 10 years ago. One particular challenge in Alaska is providing robust alternative power solutions for shore-based observing. Remote power options have been evolving alongside resilient technologies and are being designed for freeze-up conditions, making it possible to keep remotely deployed operational systems running and easy to maintain year-round. In this paper, three remote observing approaches are reviewed, including use of off-grid power to operate high-frequency (HF) radars for measuring surface currents, a real-time ice detection buoy that remains deployed throughout the freeze-up cycle, and a high-quality water level observing alternative to NOAA’s National Water Level Observing Network (NWLON) installations. These efforts are highly collaborative and require working partnerships and combined funding from other interested groups to make them a reality. Though they respond to Alaska’s needs including Arctic observing, these approaches also have broader applications to other remote coastal regions.https://www.frontiersin.org/article/10.3389/fmars.2019.00176/fullcurrentsice detectionwater levelGNSS reflectometrymodelingforecasting |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Carol Janzen Molly McCammon Thomas Weingartner Hank Statscewich Peter Winsor Seth Danielson Rebecca Heim |
spellingShingle |
Carol Janzen Molly McCammon Thomas Weingartner Hank Statscewich Peter Winsor Seth Danielson Rebecca Heim Innovative Real-Time Observing Capabilities for Remote Coastal Regions Frontiers in Marine Science currents ice detection water level GNSS reflectometry modeling forecasting |
author_facet |
Carol Janzen Molly McCammon Thomas Weingartner Hank Statscewich Peter Winsor Seth Danielson Rebecca Heim |
author_sort |
Carol Janzen |
title |
Innovative Real-Time Observing Capabilities for Remote Coastal Regions |
title_short |
Innovative Real-Time Observing Capabilities for Remote Coastal Regions |
title_full |
Innovative Real-Time Observing Capabilities for Remote Coastal Regions |
title_fullStr |
Innovative Real-Time Observing Capabilities for Remote Coastal Regions |
title_full_unstemmed |
Innovative Real-Time Observing Capabilities for Remote Coastal Regions |
title_sort |
innovative real-time observing capabilities for remote coastal regions |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Marine Science |
issn |
2296-7745 |
publishDate |
2019-05-01 |
description |
Remote regions across Alaska are challenging environments for obtaining real-time, operational observations due to lack of power, easy road access, and robust communications. The Alaska Ocean Observing System partners with government agencies, universities, tribes and industry to evaluate innovative observing technologies, infrastructure and applications that address these challenges. These approaches support acquisition of ocean observing data necessary for forecasting and reporting conditions for safe navigation and response to emergencies and coastal hazards. Three applications are now delivering real-time surface current, sea ice, and water level data in areas not possible a mere 10 years ago. One particular challenge in Alaska is providing robust alternative power solutions for shore-based observing. Remote power options have been evolving alongside resilient technologies and are being designed for freeze-up conditions, making it possible to keep remotely deployed operational systems running and easy to maintain year-round. In this paper, three remote observing approaches are reviewed, including use of off-grid power to operate high-frequency (HF) radars for measuring surface currents, a real-time ice detection buoy that remains deployed throughout the freeze-up cycle, and a high-quality water level observing alternative to NOAA’s National Water Level Observing Network (NWLON) installations. These efforts are highly collaborative and require working partnerships and combined funding from other interested groups to make them a reality. Though they respond to Alaska’s needs including Arctic observing, these approaches also have broader applications to other remote coastal regions. |
topic |
currents ice detection water level GNSS reflectometry modeling forecasting |
url |
https://www.frontiersin.org/article/10.3389/fmars.2019.00176/full |
work_keys_str_mv |
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