A High-Latitude Modular Autonomous Power, Control, and Communication System for Application to High-Frequency Surface Current Mapping Radars

2011 ◽  
Vol 45 (3) ◽  
pp. 59-68 ◽  
Author(s):  
Hank Statscewich ◽  
Tom Weingartner ◽  
Seth Danielsen ◽  
Bruno Grunau ◽  
Greg Egan ◽  
...  
Keyword(s):  
Real Time ◽  
High Frequency ◽  
Performance Monitoring ◽  
Surface Current ◽  
Satellite Communications ◽  
Current Data ◽  
Power Performance ◽  
Time Data ◽  
Power Module ◽  
Remote Sites

AbstractHigh-frequency, shore-based radars (HFR) collect hourly, real-time surface current data over broad areas of the coastal ocean and yield insights on time-varying circulation, predict oil spill trajectories, evaluate circulation models, and, in case of a spill, provide responders with real-time data on spill evolution. HFR requires 7.5 kWh/day of power, but the lack of power availability inhibits HFR use in Alaska. We developed a modular, autonomous remote power module (RPM) for Arctic environments. The RPM design facilitates setup and transport to remote sites using small vehicles, and it contains subsystems for power generation, satellite communications, and power performance monitoring. The subsystems are powered by a battery bank (with a 5-day power reserve) charged primarily by wind and solar and secondarily by a biodiesel generator. The RPM is a stand-alone device for long-term deployments. It minimizes permit issues associated with diesel generators and logistics costs associated with refueling and maintenance. Performance data from a prototype RPM setup in Barrow, Alaska, in fall 2010 is provided. The system is designed for high latitudes but can be modified for remote coasts elsewhere.

Development of Regional Coastal Ocean Observatories and the Potential Benefits to Marine Sanctuaries

2003 ◽  
Vol 37 (1) ◽  
pp. 54-67 ◽  
Author(s):  
Oscar Schofield ◽  
Scott Glenn ◽  
Paul W. Bissett ◽  
Thomas K. Frazer ◽  
Debora Iglesias-Rodriguez ◽  
...  
Keyword(s):  
Real Time ◽  
Adaptive Sampling ◽  
Marine Biology ◽  
Rapid Development ◽  
Autonomous Underwater Vehicles ◽  
Surface Current ◽  
The United States ◽  
Time Data ◽  
Real Time Data ◽  
Potential Benefits

A network of coastal observatories is being built around the United States. While the motivations for developing these systems do not originate from marine sanctuaries per se, the sanctuaries stand to gain an unprecedented opportunity to benefit from real-time data and nowcasting/forecasting models. The construction of the observatories is being fueled by the rapid development in three enabling observational technologies. These technologies include (1) data acquisition systems that track the international constellation of IR and ocean color satellites; (2) nested grids multi-static SeaSonde surface current radars; and (3) a growing fleet of autonomous underwater vehicles. These observational assets are coupled to nowcast/forecast data assimilative models. These systems will allow the mean behavior in marine ecosystems to be defined while also providing real-time data that will allow adaptive sampling. The ability to adaptively sample the environment will allow scientists to make shrewd decisions about when and where to sample. Given this, developing the new approaches to measure critical biological processes and the geographic boundaries of those processes should be a key focus for the marine biology community. This will alter how scientists approach scientific questions in coastal waters.

scholarly journals On the Reliability of Surface Current Measurements by X-band Marine Radar

2019 ◽  
Vol 11 (9) ◽  
pp. 1030 ◽  
Author(s):  
Hessner ◽  
El Naggar ◽  
von Appen ◽  
Strass
Keyword(s):  
Real Time ◽  
Surface Current ◽  
Acoustic Doppler Current Profiler ◽  
Weather Conditions ◽  
Operational Reliability ◽  
Current Data ◽  
X Band ◽  
Current Profiler ◽  
Marine Radar ◽  
Commercial Off The Shelf

Real-time quality-controlled surface current data derived from X-Band marine radar (MR) measurements were evaluated to estimate their operational reliability. The presented data were acquired by the standard commercial off-the-shelf MR-based sigma s6 WaMoS® II (WaMoS® II) deployed onboard the German Research vessel Polarstern. The measurement reliability is specified by an IQ value obtained by the WaMoS® II real-time quality control (rtQC). Data which pass the rtQC without objection are assumed to be reliable. For these data sets accuracy and correlation with corresponding vessel-mounted acoustic Doppler current profiler (ADCP) measurements are determined. To reduce potential misinterpretation due to short-term oceanic variability/turbulences, the evaluation of the WaMoS® II accuracy was carried out based on sliding means over 20 min of the reliable data only. The associated standard deviation σWaMoS = 0.02 m/s of the mean WaMoS® II measurements reflect a high precision of the measurement and the successful rtQC during different wave, current and weather conditions. The direct comparison of 7272 WaMoS® II/ADCP northward and eastward velocity data pairs yield a correlation of r ≥0.94, with bias∆ ≤0.06 m/s and σS=0.05 m/s. This confirms that the MR-based surface current measurements are accurate and reliable.

Automating Well Performance Monitoring of Real Time Data

2011 ◽  
Author(s):  
Ahmed Saleh Al-nuaim ◽  
Gary M. Williamson ◽  
Marwan M. Labban ◽  
Keith Richard Holdaway ◽  
Steffen Krug
Keyword(s):  
Real Time ◽  
Performance Monitoring ◽  
Well Performance ◽  
Time Data ◽  
Real Time Data

Unlocking the Potential of NEXRAD Data through NOAA’s Big Data Partnership

2018 ◽  
Vol 99 (1) ◽  
pp. 189-204 ◽  
Author(s):  
Steve Ansari ◽  
Stephen Del Greco ◽  
Edward Kearns ◽  
Otis Brown ◽  
Scott Wilkins ◽  
...  
Keyword(s):  
Big Data ◽  
Real Time ◽  
Weather Radar ◽  
Current Data ◽  
Time Data ◽  
Cooperative Research ◽  
Private Industry ◽  
Level Ii ◽  
Amazon Web Services ◽  
Cloud Infrastructures

Abstract The National Oceanic and Atmospheric Administration’s (NOAA) Big Data Partnership (BDP) was established in April 2015 through cooperative research agreements between NOAA and selected commercial and academic partners. The BDP is investigating how the value inherent in NOAA’s data may be leveraged to broaden their utilization through modern cloud infrastructures and advanced “big data” techniques. NOAA’s Next Generation Weather Radar (NEXRAD) data were identified as an ideal candidate for such collaborative efforts. NEXRAD Level II data are valuable yet challenging to utilize in their entirety, and recent advances in weather radar science can be applied to both the archived and real-time data streams. NOAA’s National Centers for Environmental Information (NCEI) transferred the complete NEXRAD Level II historical archive, originating in 1991, through North Carolina State University’s Cooperative Institute for Climate and Satellites (CICS-NC) to interested BDP collaborators. Amazon Web Services (AWS) has received and made freely available the complete archived Level II data through its AWS platform. AWS then partnered with Unidata/University Corporation for Atmospheric Research (UCAR) to establish a real-time NEXRAD feed, thereby providing on-demand dissemination of both archived and current data seamlessly through the same access mechanism by October 2015. To organize, verify, and utilize the NEXRAD data on its platform, AWS further partnered with the Climate Corporation. This collective effort among federal government, private industry, and academia has already realized a number of new and novel applications that employ NOAA’s NEXRAD data, at no net cost to the U.S. taxpayer. The volume of accessed NEXRAD data, including this new AWS platform service, has increased by 130%, while the amount of data delivered by NOAA/NCEI has decreased by 50%.

Real-Time Current and Wave Monitoring Using Acoustic and Iridium Satellite Links

2009 ◽  
Author(s):  
H. H. Shih ◽  
James Sprenke ◽  
David Trombley ◽  
John Cassidy ◽  
Tom Mero
Keyword(s):  
Real Time ◽  
Current Data ◽  
Coast Guard ◽  
Army Corps ◽  
Ocean Bottom ◽  
Time Data ◽  
Real Time System ◽  
Satellite Links ◽  
Real Time Data ◽  
The U.S

The U.S. National Ocean Service (NOS) of NOAA maintains and operates a Physical Oceanography Real Time System (PORTS®) in the Nation’s major ports, harbors and bays. The traditional method of obtaining real-time data from bottom mounted instruments is via underwater cable link. However, this is vulnerable to damage and costly to install and maintain. This paper describes an approach utilizing acoustic and Iridium satellite links to report in real-time wave and current data. The system consists of an ocean bottom instrumentation platform and a U.S. Coast Guard Aid-to-Navigation buoy for data relay. The bottom platform contains a Nortek 1 MHz Acoustic Wave and Current profiler (AWAC) with an integrated Nortek Internal Processor (NIP), a LinkQuest omni-directional UWM2000H underwater acoustic transmitting modem, an ORE acoustic release-based recovery component, and a Teledyne-Benthos UAT-376/EL acoustic transponder. The surface buoy supports an omni-directional UWM2000H receiving modem, an Iridium antenna, and an electronic box containing an Iridium modem, a controller, battery packs, and temperature and voltage sensors. The AWAC measures current profiles along the vertical water column at 30-minute intervals and surface waves at hourly intervals. The NIP processes a set of user selected wave and current parameters and sends these data to the controller on the surface buoy through acoustic modems. The data are then transmitted via Iridium satellite to remote offices in real-time. Sample measurement results and reference data from a near-by Datawell’s Waverider directional wave buoy are presented. The Waverider is operated by the U.S. Army Corps of Engineers (USACE) and Scripps Institution of Oceanography (SIO). Several unique system design features and interesting wave phenomenon observed at the measurement site are discussed. The goal of this project is to demonstrate the performance of AWAC, NIP, shallow water acoustic modems, and Iridium satellite in real-time data telemetry.

scholarly journals ISRO’s Geostationary data products archival & dissemination – Retrospect and prospect

MAUSAM ◽  
2021 ◽  
Vol 67 (1) ◽  
pp. 105-112
Author(s):  
PUSHPALATA B. SHAH ◽  
UTKARSH .
Keyword(s):  
Real Time ◽  
High Speed ◽  
Data Dissemination ◽  
Satellite Communications ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Multiple Time ◽  
Time Data ◽  
Weather Events ◽  
Analytical Approaches

Natural extreme weather events have been causing excessive damage to life and property across the globe since time immemorial. Space based techniques and instruments have been improvised and utilised over the years to generate and collect earth observations data. Although a significant amount of research has led to meaningful forecasts of extreme weather events leading to minimising of the loss of life and property, the analytical approaches in this field need to be further studied and explored. Also, since every instance of earth observation is significant in multiple time domains (current as well as past which is required for climatology studies), it needs to be archived and disseminated in an organised and holistic manner. For long time preservation, modern infrastructure and underlying cutting edge technologies need to be adapted. With missions like GISAT, where the volume of data handled per day will be around 200 Mega bytes per second, multi level strategic approach for archival and high speed bandwidth for near real time data dissemination on public networks should be complemented with data broadcast to strategic users, using satellite communications. This paper describes the current infrastructure established for archival and dissemination and archival of ISRO’s Met-Ocean data observations and the future road map in the area of instantaneous data and weather alerts dissemination through an Indian broadcasting system (IMETCAST). This is to ensure timely delivery of satellite data to end users to facilitate near real time analysis of weather events.

Enhancing Arctic Maritime Domain Awareness Through an Off-Grid Multi-sensor Instrument Platform

2014 ◽  
Vol 48 (5) ◽  
pp. 97-109 ◽  
Author(s):  
Hank Statscewich ◽  
Hugh Roarty ◽  
Michael Smith ◽  
Ed Page ◽  
Scott Glenn ◽  
...  
Keyword(s):  
High Frequency ◽  
Meteorological Data ◽  
Surface Current ◽  
Open Water ◽  
Identification System ◽  
Automated Identification ◽  
Power Module ◽  
Integrated Sensor ◽  
Ocean Surface Currents ◽  
Maritime Domain Awareness

AbstractSurface current mapping high-frequency radars were installed along the northwest corner of Alaska during the open water periods of 2011‐2013. A combination of wind and solar renewable energy inputs supplied electricity to a single radar site operating at Point Barrow, Alaska, via an off-grid remote power module (RPM). The radar at Point Barrow was able to simultaneously collect measurements of ocean surface currents, measure the position and velocity of passing vessels, and provide meteorological data in real time. This paper provides a summary of the performance of the power module from 2011 to 2013 and vessel detection results from 2013 with corresponding Automated Identification System (AIS) data. The RPM provided infrastructure to meteorological stations, high-frequency radars, and AIS in a resilient and robust manner and serves as an example of how the multi-use capability of integrated sensor modules can provide enhanced maritime domain awareness and persistent surveillance capabilities in remote Arctic environments.

Ambulatory Assessment

2009 ◽  
Vol 14 (2) ◽  
pp. 109-119 ◽  
Author(s):  
Ulrich W. Ebner-Priemer ◽  
Timothy J. Trull
Keyword(s):  
Real Time ◽  
Clinical Psychology ◽  
Real Life ◽  
Ambulatory Assessment ◽  
Computer Assisted ◽  
Affective Valence ◽  
Time Data ◽  
Physiological Processes ◽  
Context Specific ◽  
Questionnaire Studies

Convergent experimental data, autobiographical studies, and investigations on daily life have all demonstrated that gathering information retrospectively is a highly dubious methodology. Retrospection is subject to multiple systematic distortions (i.e., affective valence effect, mood congruent memory effect, duration neglect; peak end rule) as it is based on (often biased) storage and recollection of memories of the original experience or the behavior that are of interest. The method of choice to circumvent these biases is the use of electronic diaries to collect self-reported symptoms, behaviors, or physiological processes in real time. Different terms have been used for this kind of methodology: ambulatory assessment, ecological momentary assessment, experience sampling method, and real-time data capture. Even though the terms differ, they have in common the use of computer-assisted methodology to assess self-reported symptoms, behaviors, or physiological processes, while the participant undergoes normal daily activities. In this review we discuss the main features and advantages of ambulatory assessment regarding clinical psychology and psychiatry: (a) the use of realtime assessment to circumvent biased recollection, (b) assessment in real life to enhance generalizability, (c) repeated assessment to investigate within person processes, (d) multimodal assessment, including psychological, physiological and behavioral data, (e) the opportunity to assess and investigate context-specific relationships, and (f) the possibility of giving feedback in real time. Using prototypic examples from the literature of clinical psychology and psychiatry, we demonstrate that ambulatory assessment can answer specific research questions better than laboratory or questionnaire studies.

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