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This zipped content contains Lidar raw data: Raw 10-minute files of 1 Hz data files from 53-200m amsl from October-December 2021.

This zipped content contains Lidar raw data: Raw 10-minute files of 1 Hz data files from 53-200m amsl from January-March 2022.

Meteorological tower daily data for 2022

This zipped content contains Lidar summary data: Daily 10-minute average files from 53-200m amsl for 2022.

This zipped content contains Lidar raw data: Raw 10-minute files of 1 Hz data files from 53-200m amsl from July-September 2022.

Meteorological tower monthly summary data for 2022

This zipped content contains Lidar raw data: Raw 10-minute files of 1 Hz data files from 53-200m amsl from January-March 2022.

This data was collected by Kirincich and Cinquino as part of a Metocean monitoring campaign sponsored by the National Offshore Wind Research and Development Consortium (NOWRDC). The campaign was designed to observe key atmospheric parameters at a land based site in the proximity of the Massachusetts and Rhode Island Wind Energy Areas for one year. This is part of a longer term effort to collect atmospheric and oceanic data at an existing offshore platform in the vicinity, which can be found here https://darchive.mblwhoilibrary.org/handle/1912/27014. The campaign supported the purchase and installation of a LIDAR wind profiler at the Nantucket Test Site (NTS). This instrument was installed and operated by WHOI and validated by UL-AWS Truepower following a MetOcean Measurement Plan created by UL-AWST, WHOI, and NOWRDC. The LIDAR was installed at the NTS in November 2021 and operated continuously, as possible, through the end of 2023.

This zipped content contains Lidar summary data: Daily 10-minute average files from 53-200m amsl for 2021.

This zipped content contains Lidar raw data: Raw 10-minute files of 1 Hz data files from 53-200m amsl from October-December 2022.

Unit is located at a monitoring site, on the southern coast of Nantucket. There is a water treatment plant directly north of the lidar unit. There is a slight rise of the coastline/sand dunes directly South of the lidar unit. Once past the coastline/sand dunes the lidar is open to the Atlantic ocean.

Martha's Vineyard Coastal Observatory (MVCO) is a leading research and engineering facility operated by Woods Hole Oceanographic Institution. MVCO has been collecting ocean and atmospheric data at 3 sites on and near Martha's Vineyard since 2001. A meteorological mast (met mast) on South Beach in Edgartown, MA has collected atmospheric data since May 31 2001. An Air Sea Interaction Tower (ASIT) has been collecting atmospheric and subsurface oceanic data since August 5, 2004. A seafloor node (12m node) has been collecting oceanic data from the seafloor since June 14, 2001. This dataset encompasses the core data (wind speed and direction, air pressure, temperature and relative humidity, water temperature and salinity, and wave data) that has been collected during this period. To learn more about the facility and see additional data collected during short term deployments, visit the MVCO Website (https://mvco.whoi.edu/).

This zipped content contains Lidar raw data: Raw 10-minute files of 1 Hz data files from 53-200m amsl from July-September 2022.

This zipped content contains Lidar raw data: Raw 10-minute files of 1 Hz data files from 53-200m amsl from April-June 2022.

This report compares the wind characteristics of Lidar WLS7 436, a Windcube v2.0 lidar, and Lidar ZX1166, a ZX Lidars ZX300M, comprising part of the Met Ocean Reference Station (MORS-1) situated on the Air-Sea Interaction Tower (ASIT) located approximately 3 km south of Martha’s Vineyard in 17-m of water. The ASIT is a cabled, fixed platform that has a maximum height of 23 m above mean sea level (MSL) and a platform located at 13 m MSL. The ASIT operates within the Martha’s Vineyard Coastal Observatory (MVCO) facility established in 2001 and is operated by Woods Hole Oceanographic Institution (WHOI). Remote sensing data collection commenced at the ASIT in October 2016 with the initial deployment of Lidar WLS7 436 as part of a metocean initiative funded by the Massachusetts Clean Energy Center (MassCEC)1. WHOI later established the MORS-1 campaign in 2021. Lidar ZX1166, a calibrated ZX Lidars ZX300M, was deployed to the ASIT platform on 1 September 2021. Lidar WLS7 436 was removed from the platform on 8 October 2021. Site information, a table of concurrent mean wind speeds at each measurement level between 60 m and 200 m, scatterplots of concurrent wind speeds at each measurement level between 60 m and 200 m, wind speed frequency distributions and wind roses at two key measurement levels, and a plot of concurrent wind shear are presented below for the period that the two lidars were present on the ASIT platform. For their concurrent period of record, wind speed and direction data at the same measurement levels agreed closely between the two lidars.

This zipped content contains Lidar raw data: Raw 10-minute files of 1 Hz data files from 53-200m amsl from July-September 2021.

Martha's Vineyard Coastal Observatory (MVCO) is a leading research and engineering facility operated by Woods Hole Oceanographic Institution. MVCO has been collecting ocean and atmospheric data at 3 sites on and near Martha's Vineyard since 2001. A meteorological mast (met mast) on South Beach in Edgartown, MA has collected atmospheric data since May 31 2001. An Air Sea Interaction Tower (ASIT) has been collecting atmospheric and subsurface oceanic data since August 5, 2004. A seafloor node (12m node) has been collecting oceanic data from the seafloor since June 14, 2001. This dataset encompasses the core data (wind speed and direction, air pressure, temperature and relative humidity, water temperature and salinity, and wave data) that has been collected during this period. To learn more about the facility and see additional data collected during short term deployments, visit the MVCO Website (https://mvco.whoi.edu/).

Author Posting. © American Meteorological Society, 2022. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of the Atmospheric and Oceanic Technology 39(2), (2022): 223–235, https://doi.org/10.1175/JTECH-D-21-0110.1., Previous work with simulations of oceanographic high-frequency (HF) radars has identified possible improvements when using maximum likelihood estimation (MLE) for direction of arrival; however, methods for determining the number of emitters (here defined as spatially distinct patches of the ocean surface) have not realized these improvements. Here we describe and evaluate the use of the likelihood ratio (LR) for emitter detection, demonstrating its application to oceanographic HF radar data. The combined detection–estimation methods MLE-LR are compared with multiple signal classification method (MUSIC) and MUSIC parameters for SeaSonde HF radars, along with a method developed for 8-channel systems known as MUSIC-Highest. Results show that the use of MLE-LR produces similar accuracy, in terms of the RMS difference and correlation coefficients squared, as previous methods. We demonstrate that improved accuracy can be obtained for both methods, at the cost of fewer velocity observations and decreased spatial coverage. For SeaSondes, accuracy improvements are obtained with less commonly used parameter sets. The MLE-LR is shown to be able to resolve simultaneous closely spaced emitters, which has the potential to improve observations obtained by HF radars operating in complex current environments., This work was supported by the National Science Foundation (NSF) under Grant OCE-1658475. Computing resources were provided by the UCSB Center for Scientific Computing through an NSF MRSEC (DMR-1720256) and NSF CNS-1725797.

This data was collected by Kirincich as part of the NSF-sponsored High Frequency Radar Winds program, with the goal of understanding the errors in present day HFR-based wind extraction algorithms that are due to variations in the signal losses along the transmission path. Understanding variations in the received power levels for land-based high frequency radar systems is critical to advancing radar-based estimates of winds and waves. We use a long-term record of one-way high frequency radar power observations to explore the key factors controlling propagation losses over the ocean. Observed propagation loss was quantified using an 8-month record of radio frequency (RF) power from a shore-based transmitter, received at two locations: an offshore tower and a nearby island. Observations were compared to environmental factors as well as models of path loss incorporating smooth and rough surface impedances and varying atmospheric properties. Significant differences in the observations at the two sites existed. One-way path loss variations at the tower, a wavelength above mean sea level, were closely related to atmospheric forcing, while variations at the distant island site were dominated by wind-driven surface gravity wave variability. Seasonal variability in ocean conductivity had no significant effect on over-ocean path losses. Simplistic analytical models of path loss were found to have more skill than either ground wave propagation models or more complex numerical models of field strength in matching the observations, due in part to under-observation of the atmosphere but also the differences in rough surface impedance between models of ocean waves., Funded by NSF Award # OCE-1923927 and NSF Award # OCE-1923465.

Author Posting. © American Geophysical Union, 2022. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research: Oceans 127(6), (2022): e2021JC017307, https://doi.org/10.1029/2021jc017307., This study examines the spatial and temporal variability of eddy kinetic energy over the Northeast Shelf using observations of surface currents from a unique array of six high frequency radar systems. Collected during summer and winter conditions over three consecutive years, the horizontal scales present were examined in the context of local wind and hydrographic variability, which were sampled concurrently from moorings and autonomous surface vehicles. While area-averaged mean kinetic energy at the surface was tightly coupled to wind forcing, eddy kinetic energy was not, and was lower in magnitude in winter than summer in all areas. Kinetic energy wavenumber spectral slopes were generally near k−5/3, but varied seasonally, spatially, and between years. In contrast, wavenumber spectra of surface temperature and salinity along repeat transect lines had sharp k−3 spectral slopes with little seasonal or inter-annual variability. Radar-based estimates of spectral kinetic energy fluxes revealed a mean transition scale of energy near 18 km during stratified months, but suggested much longer scales during winter. Overall, eddy kinetic energy was unrelated to local winds, but the up- or down-scale flux of kinetic energy was tied to wind events and, more weakly, to local density gradients., This analysis was supported by NSF grants OCE-1657896 and OCE-1736930 to Kirincich, OCE-1736709 to Flament, and OCE-1736587 to Futch. Flament is also supported by NOAAs Integrated Ocean Observing System through award NA11NOS0120039., 2023-11-21

Martha's Vineyard Coastal Observatory (MVCO) is a leading research and engineering facility operated by Woods Hole Oceanographic Institution. MVCO has been collecting ocean and atmospheric data at 3 sites on and near Martha's Vineyard since 2001. A meteorological mast (met mast) on South Beach in Edgartown, MA has collected atmospheric data since May 31 2001. An Air Sea Interaction Tower (ASIT) has been collecting atmospheric and subsurface oceanic data since August 5, 2004. A seafloor node (12m node) has been collecting oceanic data from the seafloor since June 14, 2001. This dataset encompasses the core data (wind speed and direction, air pressure, temperature and relative humidity, water temperature and salinity, and wave data) that has been collected during this period. To learn more about the facility and see additional data collected during short term deployments, visit the MVCO Website (https://mvco.whoi.edu/).

This zipped content contains Lidar raw data: Raw 10-minute files of 1 Hz data files from 53-200m amsl from April-June 2021.

Meteorological tower daily data for 2021

On behalf of Woods Hole Oceanographic Institution (“WHOI”), UL Services Group LLC (“UL”) conducted a verification1 of a ground-based remote sensing device (“RSD”) according to IEC 61400-12-1 Ed. 2 [1] Annex L. The Lidar ZX 300M was collocated with a 130 m mast at UL’s Advanced Wind Turbine Test Facility at West Texas A&M University, near Canyon, Texas. This report describes the measurement site, the mast and RSD equipment, and the results from the verification. The verification results include the linear regression relationships between wind speed, wind direction, shear, and turbulence intensity for each coincident height.

This zipped content contains Lidar raw data: Raw 10-minute files of 1 Hz data files from 53-200m amsl from October-December 2021.

Meteorological tower monthly summary data for 2021

Unit is located on an Ocean met mast. There is a platform approximately 11 meter off the water line. with another 15 meters of lattice tower above it. The site is approximately 2.75 kilometers off the Southeast coast of Martha’s Vineyard.