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Near Real-time Oceanic Glider Mission Viewers
Abstract (<350 words)The Gulf of Mexico Coastal Ocean Observing System Regional Association’s (GCOOS-RA) Data and Products Portals were designed to aggregate and integrate data and model output from distributed providers and offer these, and derived products, through a single access point in standardized ways to diverse users. The portals evolved under funding from the NOAA-led U.S. Integrated Ocean Observing System (U.S. IOOS) Program. In 2013, GCOOS-RA participated in two pilot projects with two different glider platforms. The first project focused on the feasibility of using a Liquid Robotics® (LR) Wave Glider to study ocean acidification. The second used Webb Research® Slocum profile gliders to study hypoxia over the Texas-Louisiana shelf.
The first project, led by the University of Southern Mississippi, was a 36-day mission supporting NOAA’s Ocean Acidification Project. The goals were to demonstrate that the Wave Gliders are suitable platforms to monitor ocean-atmosphere fluxes of CO2 and to give GCOOS-RA the opportunity to develop automated workflows for LR glider data. The second project involved two deployments of a subsurface Teledyne Webb Slocum G2-200m gliders provided by Texas A&M University’s (TAMU) Geochemical Environmental Research Group (GERG); the first during a portion of the August 2013 “Mechanisms Controlling Hypoxia” cruise conducted by the TAMU Department of Oceanography and the second for about 30 days in October. The goals of these two deployments were to test the feasibility of collecting temperature, salinity, and dissolved oxygen data near the seabed in relatively shallow (20-40m) water, and to compare and validate and merge cruise data with a glider’s information.
One important outcome of the pilot projects was the development of a web map application in using ArcGIS web Web Mapping API to show data acquired from the glider deployments with a time slider. Because data sets from the projects were not directly reported to a GCOOS server, GCOOS-RA had to download and reformat the data to make it GIS-ready. With the ArcGIS Server and Python scripts, a time-aware glider-track layer was automatically generated in enterprise database, and updated in near real-time. This process will be applied to visualize future near real-time observations from all surface and subsurface glider platforms.
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Table of Contents
1. Introduction
2. The Gulf of Mexico Coastal Ocean Observing System
a. Profiling gliders monitoring after the Deepwater Horizon oil spill
3. The National Context for Gliders: The National Glider Network Plan
4. The GCOOS Approach with Gliders
a. Slocum profiling gliders monitoring Harmful Algal Blooms (Karenia brevis) in
Southwest Florida,
b. Pilot Project 1: A surface Wave Glider monitoring ocean acidification in the
northern Gulf of Mexico, and
c. Pilot Project 2: Slocum profiling gliders being tested in the western Gulf of
Mexico.
5. Lesson Learned and Future Plan
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Introduction
The storytelling article published in the April 1989 issue of Oceanography by the late Dr. Henry
Stommel (Stommel, 1989) prophesied unmanned vessels continuously surveying the world's
oceans while transmitting data daily to researchers. Stommel’s prediction is well on its way to
becoming a reality with increasing glider vehicle technologies and international deployments.
Profiling gliders, long-range autonomous underwater gliding vehicles (AUGVs), offer a means
to collect high-resolution in situ ocean data from a wide range of sensors at a relatively low cost
compared to conventional methods such as vessels and mooring arrays. Profiling gliders can be
buoyancy-driven or propeller-driven and fly underwater in sawtooth pattern collecting horizontal
and vertical profiles of hydrographic conditions. More recently, the Wave Gliders, the first
unmanned autonomous marine robots to generate propulsion using the ocean’s endless supply of
wave energy, have been deployed as platforms from which ocean data are gathered and
communicated in near real-time. Together, these platforms offer unprecedented opportunities to
observe and understand the world ocean.
Compared to traditional ocean sampling methods, gliders offer many benefits. Foremost in a
challenging economy is their cost-effectiveness. Operating gliders demands fewer man-hours
relative to equivalent operations conducted using vessels, and unlike most ship-based equipment,
gliders can be adaptively re-tasked and re-routed to fill data gaps, repeat a transect, or approach
new targets of interest. Increasingly, glider development is moving toward ‘plug and play’
capacity so that the platforms can carry varied and interchangeable instruments that measure and
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evaluate different oceanographic and air/sea interface attributes. This means sensors on the glider
can be swapped out for different measuring devices depending on the needs of each mission.
Recognizing the utility and cost-effectiveness of gliders, the U.S. Integrated Ocean Observing
System (U.S. IOOS®) Program has embarked on an effort to outline a National Glider Network
Plan. Data from these mobile platforms are expected to contribute significantly to the growing
demand for sustained observations, needed to address issues ranging from climate change and
severe weather forecasts to ecosystem management and water quality monitoring. For example,
boundary currents such as the Gulf Stream along the eastern seaboard pass through the coastal
ocean and are important drivers of climate change. In the Gulf of Mexico, the Loop Current and
its associated eddies dominate meso-scale circulation and the potential strength and track of
hurricanes entering the Gulf. Gliders in the coastal and nearshore environment also serve many
interests and issues specific to understanding the sources of water entering and exiting the Gulf
shelf and movement of waters (e.g. coastal currents, freshwater runoff) acting as potential
physical controls and drives for the dispersion of pollutants (nonpoint source, oil, etc.), Harmful
Algal Bloom (HAB), and the extent and duration of hypoxia (low bottom dissolved oxygen)
events.
Expanding the use of gliders in the Gulf of Mexico is a necessary step in providing the
geographical coverage and the long-term data needed to support science-based decisions
regarding the ecological health of the Gulf of Mexico. Successful expansion can best be achieved
through collaborative partnerships. It is critical that the Gulf glider community be prepared to
develop the Gulf glider network according to the needs of Gulf stakeholders. The U.S. IOOS®
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Regional Associations and partners are heavily engaged in glider operations and, in many
instances, are leading the way on their uses and mission applications. This article describes the
national context and current status of the Gulf of Mexico Coastal Ocean Observing System
Regional Association (GCOOS-RA) with regard to acquiring, processing, and delivering ocean
observing and monitoring data acquired from sensors on gliders.
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The Gulf of Mexico Coastal Ocean Observing System
The GCOOS-RA is one of 11 regional components of the U.S. IOOS®, a cooperative effort of
federal and non-federal entities to provide new data, tools and forecasts to improve marine
safety, enhance the economy, and protect the U.S. coastal and ocean environment.
Figure 1. Eleven Regional Associations (RAs) of Ocean Observing Systems across the United States. The RAs serve the nation’s coastal communities, including the Great Lakes, the Caribbean and the Pacific Islands and territories. More details.
Because the Gulf of Mexico is a national treasure and an economic driver for the country, there
exists a delicate balance between environmental protection and economic development. All
along the nearly 17,000 miles of shoreline (if bays and other inland waters are included) from
Florida to Texas, there are great demands from industries including commercial and recreational
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fisheries, oil and gas extraction and exploration, ports, and tourism. The rich biodiversity of the
region, combined with the dense human population, dictate that diligent monitoring take place to
understand and protect the wealth of natural resources and to protect human life and property.
The GCOOS-RA has invested in the development of a system that provides observations and
products needed by users in the region for these diverse purposes. Among the regional
monitoring priorities are preserving and restoring healthy marine ecosystems; managing
resources; ensuring human health; detecting and predicting climate variability and consequences;
facilitating safe and efficient marine transportation, enhancing national security; and protecting
and mitigating against coastal hazards.
Building the GCOOS requires a partnership of many organizations - from governments to
industry to academia to educators to the public - to integrate the measurements already being
made and to fill gaps where necessary to meet regional and national requirements.
Since 2000, the GCOOS has been growing toward an integrated system of federal and non-
federal observing assets and data. The GCOOS priorities are organized around themes that
illustrate the broad, beneficial uses of observing system activities. Rather than invest limited
funds in its own instrumentation, the GCOOS-RA has maximized funds by leveraging existing
non-proprietary private, local, state, academic and federal assets to build the GCOOS. The
program is in the early stages of development, with clearly articulated plans for growth.
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On April 20, 2010, the DeepWater Horizon (DWH) oil spill incident in the Gulf of Mexico
began with a tragic explosion. Specific GCOOS contribution to the response to the oil spill were
numerous and included the following: 1) Providing ready access to near real-time, and historical
data; 2) Creating new data layers for the Environmental Response Management Application
(ERMA) used by the NOAA Office of Response and Restoration; 3) Delivering model results
from the Regional Oceans Model System and wind forecasts; 4) Rapid re-installation of High
Frequency Radar (HFR) along at-risk shorelines; 5) Web access to compiled oil spill resources;
and 6) Gulf-wide education and outreach efforts to support effective communications about the
spill.
In addition to the GCOOS-RA, other IOOS regions contributed expertise during the DWH event,
demonstrating the power of a coordinated network. The GCOOS-RA, SECOORA, the Mid-
Atlantic Region Coastal Ocean Observing System (MARACOOS), and the Southern California
Coastal Ocean Observing System (SCCOOS) all collaborated and coordinated glider missions to
identify and track the subsurface oil plume from the Macondo Well. Fleets of seven gliders with
specialized sensors were deployed by IOOS partners to help identify the presence of oil in the
water column. The gliders identified a search zone for the subsurface oil and helped define the
likely movement of the oil. Temperature and salinity profiles were also acquired from sensors on
the gliders. This was the first known spill response effort to execute a coordinated multi-gliders
operation.
An important contribution made by the GCOOS-RA was to convert glider and float data from
the Deepwater Gulf Response incident site into map service layers for display on the site, as well
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as for use in the ERMA. These layers were two-dimensional, with metadata, pointers to pre-
computed graphic displays of the associated profile data, and pointers to the actual data. The
GCOOS developed an interactive map showing the gliders’ tracks and temperature and salinity
profiles at glider surfacing.
Figure 2. A web map application displays gliders and floats path and temperature and salinity profiles at their surfacing with a time-slider. This is a part of DeepWater Horizon oil spill response.
This interactive map provided time-aware glider and float layers, which store information about
the changing sate of glider and float over time. This function allows users to track glider and
float paths with a time-slider. Despite important contributions to post-DWH monitoring, data
processing and information distribution, it was an ad hoc system, one that would be greatly
improved with a thoughtful infrastructure in place. Developing monitoring plans need to include
such infrastructure.
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The National Context for Gliders: The National Glider Network Plan
As described above, gliders are becoming increasingly common as effective ocean observing and
monitoring tools. The U.S. IOOS® National Glider Network Plan (January 2014) states, the
ability to link coastal systems to the deep ocean requires sustained, cost-effective in situ
sampling at appropriate spatial and temporal scales. Additionally, the ability to sample episodic
events requires adaptive sampling capability combined with a rapid response capability for
deployment in specific regions.
A combination of ocean observing platforms and assets, with different advantages for providing
spatial and temporal information, can be collectively used to meet these needs. For example,
ships, mobile platforms, can operate high-power, full-bandwidth high-resolution instruments to
make observations at surface and at depth and collect water samples for chemical analyses for
periods of weeks to months. However, the number of ships is limited, they are expensive to
operate, and they may not be available to respond quickly to events. Satellites make synoptic
measurements over large areas of the ocean surface several times per day, but the measurements
are largely limited to either a thin upper layer, or to information that is related to information
integrated over the water column (e.g., sea surface topography). Moorings provide persistent
time-series at 5-60 minute intervals over the water column at a fixed location for years. Gliders
are critical ocean observing platforms, because they are mobile and they provide a persistent
presence at a relatively low cost.
The IOOS National Glider Network is designed to function as a distributed system, with some
centralized data management functions that apply consistent data standards and best practices to
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achieve integration among various glider-observing assets. As the lead federal agency for U.S.
IOOS®, NOAA leads the overall plan and coordinate requirements and efforts to ensure
consistency between national and regional needs and to align with the national Data
Management and Communication (DMAC) objectives with the National Glider Network Plan.
To date, three versions of autonomous subsurface profiling gliders have demonstrated persistent
observations in an operational capacity: Scripps Institution of Oceanography Spray vehicles, The
University of Washington Seaglider, and Webb Research Slocum. All three have displayed
robust reliability and fulfilled the missions outlined above. Collectively, over 500 of the three
profiling glider versions have been manufactured and used.
The National Underwater Glider Network Map, for example, includes current and historical
glider missions dating back to 2005 and is a collaborative effort of the Gulf of Mexico Coastal
Ocean Observing System (GCOOS), Southern California Coastal Ocean Observing System
(SCCOOS), Northwest Association of Networked Ocean Observing System (NANOOS), Central
and Northern California Ocean Observing System (CeNCOOS) and Mid-Atlantic Regional
Association of Coastal Ocean Observing Systems (MARACOOS). The U.S. IOOS, NOAA,
Office of Naval Research (ONR), National Science Foundation (NSF), Environmental Protection
Agency (EPA), and various universities, state agencies and industries have funded gliders
displayed on this map.
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The National Glider Network Plan also provides several examples of specific issues that have
benefited from subsurface data provided by profiling gliders and how these issues will further
benefit from a national network. These include:
Emergency Response, for example, the dispersion of oil spills by currents in the Gulf of
Mexico;
Climate Variability, including El Niño/La Niña in the California Current System, the
Loop Current in the Gulf of Mexico, and the Gulf Stream along the US east coast;
Hurricane Intensity Forecasting, relevant for the east coast, Gulf of Mexico and American
territories;
Harmful Algal Blooms throughout US coastal waters;
Hypoxia, low dissolved oxygen in bottom water, particularly in the northern Gulf of
Mexico.
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The GCOOS Approach with Gliders
Clearly, glider observations for the Gulf of Mexico are vital for responding the issues identified
in the National Glider Plan. Therefore, the GCOOS-RA is bringing together academics,
government agencies, non-governmental organizations, and the private sector to plan and
implement a glider network in the Gulf. This coordination began in 2011 through the
development of the GCOOS Glider Plan, a component of the GCOOS Build Out Plan. In April
2013, the Gulf Glider Task Team (GGTT) was constituted of glider stakeholders to develop
further the strategic and implementation plans for Gulf glider operations delineated in the
GCOOS Build Out Plan. Elements of the National Glider Strategy will also be incorporated.
The National Glider Plan calls for a set of 2-3 gliders transects in each Regional Association
domain. This will meet some, but not all of the needs for glider operations in the Gulf. However,
the associated DMAC plan includes data ingest from all glider operations and can serve those
data to any user. Glider pilot projects and partnerships between the GCOOS-RA and
stakeholders include collaborative strategies for detection of harmful algal blooms, monitoring
ocean acidification, routine measurements of water quality, and advancing Gulf research.
In 2005, GCOOS began developing the GCOOS Data Portal, designed to aggregate
observational data and model output from distributed provides and to offer these, and derived
products, through a single access point in standardized ways to a diverse set of users. GCOOS
also has an associated Data Products page, where data are fused into products tailored for
specific or general stakeholder groups. The goal of the GCOOS Data Portal and Products page is
an automated and largely unattended data system that delivers high-quality data and products to
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Gulf stakeholders. GCOOS products are mostly related to satisfying needs for consumers and are
designed for quick online browsing for a particular purpose.
Since geospatial data includes dozens of file formats and database structures already and
continues to evolve and grow to include new types of data and standards, flexible and
customizable, automated data flow is required for real-time tracking system. The Data Portal is
custom-built and uses database, PHP, andincludes, among others, web services based on Open
Geospatial Consortium standards-based Sensor Observation Service (SOS) with Observations
and Measurements (O&M) encodings. Products appearing in the Data Products portal are
primarily map applications constructed using ESRI software.
Data access for humans is through an online form and for machines is through direct access
URL, SOS, and OPeNDAP enabled software. GCOOS designs web-based mission viewers for
surface and subsurface (profiling) gliders under ArcGIS platform. Web-based mission viewers
run in near real-time when stakeholders’ gliders are operating in the Gulf and in playback mode
after a completed mission. Viewers show the glider trajectories and oceanographic data collected
and are publicly available through the GCOOS website.
The mission viewers were developed for the following four glider projects:
1. Profiling gliders monitoring after the Deepwater Horizon oil spill incident as described
above,
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2. Slocum profiling gliders monitoring Harmful Algal Blooms (Karenia brevis) in
Southwest Florida,
3. Pilot Project 1: A surface Wave Glider monitoring ocean acidification in the northern
Gulf of Mexico, and
4. Pilot Project 2: Slocum profiling gliders being tested in the western Gulf of Mexico.
1. See above for the Deepwater Horizon glider mission viewer
2. Profiling gliders monitoring Harmful Algal Blooms species, K. brevis
GCOOS-RA partners at the University of South Florida (USF) College of Marine Science and
Mote Marine Laboratory (MML) were coordinating glider missions to gain a better
understanding of the dominant Gulf of Mexico red tide organism Karenia brevis. This science
mission was to use tandem gliders to map the West Florida Shelf region with an emphasis on
catching a red-tide bloom in progress to gain a better understanding of how to forecast and track
harmful algal blooms. One specific project focus was to determine concentrations of K. brevis at
the pycnocline.
In typical use, gliders profile from the surface to 500-1000 m, taking 3-6 h to complete a cycle
from the surface to depth and back. During the cycle the gliders travel 3-6 km in the horizontal
for a speed of about 1 km/h. Deployments of 3-6 months are routine, during which time the
gliders survey track extends well over 2000 km. Sensors on gliders measure such physical
variables as pressure, temperature, salinity, and current, biological variables relevant to the
abundance of phytoplankton and zooplankton, and ecologically important chemical variables
such as dissolved oxygen and nitrate.
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During a few minutes on the surface, gliders obtain location by GPS and communicate through
the Iridium satellite phone system. Glider data is transmitted to shore in near real time from that
surface point, so an automate, or semi-automated national distribution and archiving scheme is
essential to making recently acquired to historical data readily available to a variety of users. At
present, glider data is received by servers at local data nodes and distributed in a variety of
formats and through several protocols to GCOOS and/or a national system such as the National
Underwater Glider Network Map described above.
This was the first opportunity for GCOOS-RA to learn automated workflow and display a glider
data set near real-time via web site. GCOOS-RA developed a mission viewer showing the
gliders’ tracks collected at locations where the gliders surfaced to obtain position fixes and
transmitted data which had been continuously recorded in their data boxes.
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Figure 3. A mission viewer displays gliders path and their system sensor information.
3. Pilot Project 1: Wave glider monitoring ocean acidification in the northern Gulf of Mexico
Ocean acidification (OA) is the ongoing decrease in the pH of the oceans, caused by the uptake
of anthropogenic carbon dioxide (CO2) as the atmospheric CO2 concentrations rise due to
anthropogenically caused emissions. About 30-40% of the carbon dioxide released by humans
into the atmosphere dissolves into the oceans, rivers and lakes. NOAA has initiated an active
monitoring and research OA program. The principal goal for the program is to develop the
monitoring capacity to quantify and track OA in open-ocean, coastal, and great lake systems.
In an effort to investigate the feasibility of new technologies in the Gulf of Mexico to monitor
changes in ocean acidity related to CO2 fluxes between the atmosphere and ocean, the University
of Southern Mississippi (USM), NOAA, GCOOS, and Liquid Robotics, Inc. collaborated to
deploy a Liquid Robotics’ Wave Glider to measure carbon dioxide, dissolved oxygen, pH, water
temperature, conductivity, air temperature, barometric pressure, and wind speed and direction in
the northern Gulf of Mexico. The carbon dioxide sensor package, which measures the mole
fraction of CO2 on either side of the air-sea interface, was developed by the Monterey Bay
Aquarium Research Institute.
The team successfully deployed the glider in October 2012 from the USM R/V Tom McIlwain
near the USM Central Gulf of Mexico Ocean Observing System (CenGOOS). The location was
selected so that the glider traverse began and ended at the CenGOOS buoy, which has a similar
CO2 measuring system developed and built by the Pacific Marine and Environmental Laboratory.
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The glider was programmed to run a route around the Mississippi River Delta and traverse over
stations where the NOAA R/V Ronald H. Brown sampled in July 2012 during the second Gulf of
Mexico and East Coast Carbon program. These additional observations from the buoy and the
ship-based sampling were used to help validate the measurements taken by the Wave Glider.
Wave Gliders provide greater spatial coverage than traditional buoys and can collect data at
different depths near the surface. The key benefit of the Wave Glider is its ability to travel
anywhere without need of refueling, combined with remote control and its ability to transmit
data via satellite anywhere in the world. Despite these advantages, the Wave Glider was struck
by a vessel on the 27th night of the mission near the southernmost part of the route. The USM
and Liquid Robotics retrieved and re-launched the Wave Glider in early February 2013.
Figure 4. The University of Southern Mississippi and Liquid Robotics Re-Launch the Wave Glider in the Gulf of Mexico on Feb 12, 2013 • 3:15 pm
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GCOOS developed an interactive near real-time mission viewer showing the surface glider’s
location and data from the mission. The mission viewer also displays time-series charts by
parameter.
The near real-time Wave Glider mission viewer took several steps from aggregating data source
to showing updated sensor parameters every 10-20 minutes. There were several conditions that
needed to be considered. In earlier demo along, the east coast with other IOOS Regional
Associations (NERACOOS and MARACOOS) there were problems with bandwidth for Wave
Glider communications and the initial attempts to establish SOS did not work. Because the demo
was short, all of the data from the Wave Glider were telemetered to a Liquid Robotics Inc.
stations/server, without an automatic link to the Regional Association servers. Thus our approach
was simply aggregating data from their server instead of establishing direct link to our data-
storing ecosystem.
As with any observations, the heterogeneous devices and data formats create challenges for an
organizational data storing process. In this case, there was no push system implemented and a
data aggregation system had to be built. Near real-time observations require a robust architecture
from desktop to cloud, with a timely, extensible, and automated process. This poses similar
problems that might arise in trying to add live weather or recent earthquake information to
applications without writing long programs to do so. There are multiple approaches to tackle this
challenge, but GCOOS chose an ArcGIS Tracking Server 10.1 (predecessor of ArcGIS for
Server 10.2 GeoEvent Processor) for this project. The Tracking Server 10.1 is an independent
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server, and the engine for processing and distributing real-time data to various clients via data
links.
First, we aggregated information from the Liquid Robotics Server, which provided us the
specific URLs to retrieve CTD, weather, oxygen, and system data, respectively. Each file
contained sensor information, location (latitude and longitude in WGS84 datum) and time of
collection. The file format was comma-separated values (CSV). This process used a simple
Windows batch scripting with a handful of command line utilities (cURL, wget) to download
automatically. Scripts ran at every 10 minutes.
ArcGIS Tracking Server must know how the data is formatted as well as how the data is being
received. Then we created a new message definition and a new generic input data link
connection based on a received file. Once the data were saved in a folder, another script ran to
format data for each database schema configured in the Tracking Server and pushed the data into
the Tracking Server through the TCP socket. Although the Tracking Server is able to
convert/format data, in this case it focuses on aggregating and logged data into ArcSDE
database. ESRI provided C# and Java programs to send data through a TCP socket. We wrote a
simple Python script to do the same (ref: Python wiki). Four feature layers in ArcSDE database
updated automatically every 10 minutes if new data were downloaded.
Although Liquid Robotics Inc. provided a web-based remote control system for the Wave Glider,
which gives the current location of the glider, ArcGIS users can also see the glider location by
connecting the Tracking Server in ArcCatalog and ArcMap. If users need real-time data viewing
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with analysis capabilities, ArcGIS Tracking Analyst extension on ArcGIS Desktop offers allows
users to display, analyze, and manipulate real-time and fixed-time data.
Once the data were logged into the ArcSDE database, the information was published through
ArcGIS Server as a mapping service. This whole process is described in Figure 7.
Figure 5. Diagram of automated workflow for the Wave Glider mission viewer
While Tracking Server is the engine for processing and distributing real-time data, a separate
client application is required to view the data such as ArcGIS Desktop. We developed a web map
application (glider mission viewer) in ArcGIS Javascript API. It is a web-based application that
provides a common operating picture for monitoring and tracking an event. It has an interactive
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map, charts, gauges, and a time slider for scientific observing parameters. Basic functions such
as a measurement tool, basemap catalog, print tool, and social sharing tool were implemented as
well.
Figure 6. A mission viewer displays glider’s path and multiple observation parameters in gauge and chart with a time-slider.
This mission viewer shows near real-time temperature, salinity, pressure, conductivity, and
dissolved oxygen in gauges. Other wave glider engineering information and meteorological
information, such as wind direction and speed, are provided with an overlaid nautical chart. The
layers are also downloadable in KML (for use with Google Earth) and accessible to the data
through feature services (for use with ArcGIS).
4. Pilot Project 2. Development of a Profiling Glider Mission Viewer for Testing
The Texas A&M University Department of Oceanography and the Geochemical Environmental
Research Group (GERG) deployed a Teledyne Webb Slocum G2-200m glider during the
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Mechanisms Controlling Hypoxia (MCH) cruise in August and again over the Texas-Louisiana
Shelf in October during a Texas Automated Buoy System maintenance cruise. The glider’s
mission was to test the capability of collecting temperature, salinity, and dissolved oxygen data
over the shelf in relatively shallow waters of 20-40m depth and to collect hydrographic data near
and around the Flower Garden Banks National Marine Sanctuary. In this pilot project, GCOOS
also tested near real-time mission viewer compiled with a subsurface profiling glider’s
information.
While at the surface a glider obtains location by GPS and communicates through the Iridium
satellite phone system. Glider data are received by the GERG shore station in near real-time
every six hours and stored in a folder dedicated to that particular glider.
Figure 7. Pilot test of profiling glider for hypoxia studies in the northern Gulf of Mexico.
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There are two types of files created: a glider system health and trajectory information (SBD) file
produced while the glider was at the surface and a scientific data (TBD) file containing sensor
measurements made while the glider was submerged. GCOOS copied these files from the GERG
web site to a working folder where they were processed into engineering units and basic
products.
Trajectory files were processed using an IDL® script to produce a cumulative file and a daily file
with the latest positional data. A cumulative file was also written in KML and made available to
the IOOS map . Except processing SBD and TBD files, the processes are almost identical to that
of wave glider. Files were processed four times per day and sent to the ArcGIS 10.2 GeoEvent
Processor (upgraded from ArcGIS Tracking Server) and logged into ArcSDE database.
Figure 8. A mission viewer for Slocum profiling gliders being tested in the western Gulf of Mexico.
Science dData files were processed and graphic displays of measured parameters were produced
and posted on the web. A mission viewer showed the updated location of the profiling glider
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every six hours. Cumulative profile plots of temperature, salinity, and colored dissolved organic
matter (CDOM) were also available on the mission viewer. All glider tracks were also available
in a KML file. All processes described above were automated.
The glider tracking layers are also downloadable in KML and accessible to the data through
feature services to copy in users local environment.
Lesson Learned and Future Plan
These two pilot projects developing Mission Viewers (for the surface Wave Glider and for the
Profiling Glider Tests in the Northern Gulf of Mexico) successfully demonstrated near real-time
glider observations on using ArcGIS web Meb map Mapping applications API. The activities
and products resulted from these pilot projects weare intended to help establish a user-driven
system that is responsive to real information needs.
The GCOOS-RA will continue to broaden collaborations to advance the establishment of a
comprehensive and continuous Gulf Glider Network, and work with U.S. IOOS® community on
development of the National Glider Network Plan. In addition, GCOOS will continue working
with operators and stakeholders to develop glider data visualization tools and products (e.g. 3-D
visualizers, education and outreach activities, and profiling operations on the GCOOS website).
Establishing a glider server and asset map simplifies the distribution process for glider operators
and data users alike. Archiving this data in a repository will ensure its continued availability to
all users.
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As one example of the GCOOS-RA’s future activity with gliders with a diversity of
stakeholders, GCOOS is coordinating with Shell and NOAA to share the real-time glider data
from the Shell-NOAA collaborative met-ocean project in a GCOOS glider mission viewer. Shell,
the NOAA National Data Buoy Center (NDBC), National Centers for Environmental Prediction
(NCEP), United States Naval Academy (USNA), IOOS and USM are working together to
operate a profiling glider to collect real-time data for improving hurricane intensity predictions.
The project is currently in its second year of operation with the goal to improve the real-time
hurricane intensity forecast. This glider project is a compliment to other oceanography
measurement being made for hurricane prediction, such as the deployment of Airborne
Expendable Bathythermographs (AXBTs), which measure temperature as a function of depth,
from the NOAA’s Hurricane Hunter aircraft monitoring hurricane development and progress.
Data shared will include a profiling Seaglider’s locations and temperature data collected during
the mission in a 1-D and 3-D visualizer. While this product is in the development stage, the
profiles of temperature and salinity collected during this current mission can be viewed at the
NDBC website.
This collaboration demonstrates that gliders not only collect data to answer scientific research
questions, they are valuable tools for collecting data needed to better protect offshore oil and gas
assets and the greater Gulf Coast communities from hazards such as tropical storms and
hurricanes. Developing partnerships between industry, government, military, and academia is
important to furthering research and expanding ocean observing capacity in the Gulf of Mexico.
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References
Stommel, H. 1989. The SLOCUM mission. Oceanography, 2(1): 22-25.
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