Kirincich
Anthony R.
Kirincich
Anthony R.
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DatasetApril-June 2018 Lidar raw data(Woods Hole Oceanographic Institution, 2018) Kirincich, Anthony R.This zipped content contains Lidar raw data: Raw 10-minute files of 1 Hz data files from 53-200m amsl from April-June 2018.
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DatasetMeteorological tower daily data 2020(Woods Hole Oceanographic Institution, 2020) Kirincich, Anthony R.Meteorological tower daily data for 2020
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OtherLidar validation report July 2020(Woods Hole Oceanographic Institution, 2020-07) Kirincich, Anthony R.Performance Verification Certificate for Renewable NRG Systems reference Lidar: WLS7-94 on July 2020.
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DatasetMeteorological tower monthly summary data for 2021(Woods Hole Oceanographic Institution, 2021) Kirincich, Anthony R. ; Cinquino, EveMeteorological tower monthly summary data for 2021
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OtherLidar validation report August 2016(Woods Hole Oceanographic Institution, 2016-08) Kirincich, Anthony R.Performance Verification Certificate for Renewable NRG Systems reference Lidar: WLS7-94 on August 2016.
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ArticleThe summer heat balance of the Oregon inner shelf over two decades: mean and interannual variability(American Geophysical Union, 2020-01-24) Lemagie, Emily ; Kirincich, Anthony R. ; Lentz, Steven J.Summer temperature and velocity measurements from 14 years in 15 m of water over the inner shelf off Oregon were used to investigate interannual temperature variability and the capacity of the across‐shelf heat flux to buffer net surface warming. There was no observable trend in summer mean temperatures, and the standard deviation of interannual variability (0.5°C) was less than the standard deviation in daily temperatures each summer (1.6°C, on average). Yet net surface heat flux provided a nearly constant source of heat each year, with a standard deviation less than 15 urn:x-wiley:jgrc:media:jgrc23812:jgrc23812-math-0001 of the interannual mean. The summer mean across‐shelf upwelling circulation advected warmer water offshore near the surface, cooling the inner shelf and buffering the surface warming. In most years (11 out of 14), this two‐dimensional heat budget roughly closed with a residual less than 20 urn:x-wiley:jgrc:media:jgrc23812:jgrc23812-math-0002 of the leading term. Even in years when the heat budget did not balance, the observed temperature change was negligible, indicating that an additional source of cooling was needed to close the budget. A comparison of the residual to the interannual variability in fields such as along‐shelf wind stress, stratification, and along‐shelf currents found no significant correlation, and further investigation into the intraseasonal dynamics is recommended to explain the results. An improved understanding of the processes that contribute to warming or cooling of the coastal ocean has the potential to improve predictions of the impact of year‐to‐year changes in local winds and circulation, such as from marine heat waves or climate change, on coastal temperatures.
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DatasetOctober-December 2021 Lidar raw data(Woods Hole Oceanographic Institution, 2021) Kirincich, Anthony R. ; Cinquino, EveThis zipped content contains Lidar raw data: Raw 10-minute files of 1 Hz data files from 53-200m amsl from October-December 2021.
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Dataset2018 Lidar summary data(Woods Hole Oceanographic Institution, 2018) Kirincich, Anthony R.This zipped content contains Lidar summary data: Daily 10-minute average files from 53-200m amsl for 2018.
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ArticleSearch and rescue at sea aided by hidden flow structures(Nature Communications, 2020-05-26) Serra, Mattia ; Sathe, Pratik ; Rypina, Irina I. ; Kirincich, Anthony R. ; Ross, Shane D. ; Lermusiaux, Pierre F. J. ; Allen, Arthur ; Peacock, Thomas ; Haller, GeorgeEvery year, hundreds of people die at sea because of vessel and airplane accidents. A key challenge in reducing the number of these fatalities is to make Search and Rescue (SAR) algorithms more efficient. Here, we address this challenge by uncovering hidden TRansient Attracting Profiles (TRAPs) in ocean-surface velocity data. Computable from a single velocity-field snapshot, TRAPs act as short-term attractors for all floating objects. In three different ocean field experiments, we show that TRAPs computed from measured as well as modeled velocities attract deployed drifters and manikins emulating people fallen in the water. TRAPs, which remain hidden to prior flow diagnostics, thus provide critical information for hazard responses, such as SAR and oil spill containment, and hence have the potential to save lives and limit environmental disasters.
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DatasetJanuary-March 2021 Lidar raw data(Woods Hole Oceanographic Institution, 2021) Kirincich, Anthony R.This zipped content contains Lidar raw data: Raw 10-minute files of 1 Hz data files from 53-200m amsl from January-March 2021.
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OtherMeteorological Metadata(Woods Hole Oceanographic Institution, 2021-09-13) Kirincich, Anthony R.This data was collected by a team led by Kirincich as part of a Metocean monitoring campaign sponsored by the Massachusetts Clean Energy Center (MassCEC). The campaign was designed to observe key atmospheric and ocean parameters at an existing offshore platform in the proximity of the Massachusetts and Rhode Island Wind Energy Areas. The campaign supported the purchase and installation of a LIDAR wind profiler, two cup anemometers and a wind direction vane at the MVCO Air-Sea Interaction Tower (ASIT). These instruments were installed and operated by WHOI and validated by UL-AWS Truepower following a MetOcean Measurement Plan created by UL-AWST, WHOI, and the MassCEC. All instruments were installed on WHOI's offshore tower in the fall of 2016 and operated continuously, as possible, through the end of 2020. After this time the project transitioned to become the MetOcean Reference Site (MORS-1), supported by the National Offshore Wind Research and Development Consortium (NOWRDC).
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DatasetMeteorological tower daily data 2016(Woods Hole Oceanographic Institution, 2016) Kirincich, Anthony R.Meteorological tower summary data for 2016
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ArticleSome considerations about coastal ocean observing systems(Sears Foundation for Marine Research, 2017-05-01) Brink, Kenneth H. ; Kirincich, Anthony R.Coastal ocean observing capabilities are evolving rapidly, both in terms of sensors and in terms of the volume of information available. We discuss the aspects of the coastal ocean that make it a unique environment, both in terms of physical processes and measurement techniques. Although many global-level systems are relevant to the coastal ocean, we concentrate on treating systems that are unique to the continental shelf environment. Further, we briefly discuss examples of measurement systems that would be useful for developing and driving ocean prediction systems.
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OtherCommissioning form: Windcube V2 WLS7-436 WHOI ASIT Tower(Woods Hole Oceanographic Institution, 2017-03-10) Kirincich, Anthony R.Lidar is deployed on the Air Sea Interaction Tower (ASIT) offshore structure owned and operated by Woods Hole Oceanographic Institution (WHOI); Tower is approximately 2 miles south of Martha’s Vineyard, MA. Station has a walking platform at approximately 11 m MSL, with a section of lattice mast that extends from the platform to approximately 21 m MSL. The walking platform has a “diving board” extension oriented southwest, on which the lidar is deployed. The lidar sits upon a work bench mounted outboard of the southeast side of the diving board. Figure 1 illustrates the site configuration Aside from the immediate structure, the closest obstruction is Martha’s vineyard. Open ocean fetch for the southern half of the compass; Site access controlled by WHOI; additional site details attached separately.
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DatasetOctober-December 2017 Lidar raw data(Woods Hole Oceanographic Institution, 2017) Kirincich, Anthony R.This zipped content contains Lidar raw data: Raw 10-minute files of 1 Hz data files from 53-200m amsl from October-December 2017.
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Dataset2019 Lidar summary data(Woods Hole Oceanographic Institution, 2019) Kirincich, Anthony R.This zipped content contains Lidar summary data: Daily 10-minute average files from 53-200m amsl for 2019.
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DatasetMeteorological tower daily data 2017(Woods Hole Oceanographic Institution, 2017) Kirincich, Anthony R.Meteorological tower summary data for 2017
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DatasetMeteorological tower monthly summary data 2017(Woods Hole Oceanographic Institution, 2017) Kirincich, Anthony R.Meteorological tower monthly summary data for 2017
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DatasetMassachusetts Clean Energy Center MetOcean Data Initiative( 2019-04-04) Kirincich, Anthony R. ; Faluotico, Stephen M.This data was collected by Kirincich as part of a metocean monitoring campaign designed around the observation of key atmospheric and ocean parameters at an existing offshore platform in the proximity of the Massachusetts and Rhode Island Wind Energy Areas. The campaign supported the purchase and installation of a LIDAR wind profiler, two cup anemometers and a wind direction vane at the MVCO Air-Sea Interaction Tower (ASIT). These instruments, chosen in consultation with AWS Truepower to adhere to Massachusetts Clean Energy Center (MassCEC)’s MetOcean Measurement Plan, were installed over the course of four day cruises to the MVCO tower between October and December 2016 and maintained to present.
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DatasetJuly-September 2021 Lidar raw data(Woods Hole Oceanographic Institution, 2021) Kirincich, Anthony R. ; Cinquino, EveThis zipped content contains Lidar raw data: Raw 10-minute files of 1 Hz data files from 53-200m amsl from July-September 2021.