This dataset has High Low Tide Predictions from NOAA NOS Center for Operational Oceanographic Products and Services (CO-OPS). The official Tide and Tidal Current prediction tables are published annually on October 1, for the following calendar year. Tide and Tidal Current predictions generated prior to the publishing date of the official tables are subject to change. The enclosed data are based upon the latest information available as of the date of your request. Tide and Tidal Current predictions generated may differ from the official predictions if information for the station requested has been updated since the publishing date of the official tables. WARNING: * Queries for data MUST include stationID=, time>= and time<=. Queries MUST be for less than 30 days worth of data. * This dataset only returns data for the MLLW (Mean Lower-Low Water) datum. * The data source isn't completely reliable. If your request returns no data when you think it should: * Try revising the request (e.g., a different time range). * The list of stations offering this data may be incorrect. * Sometimes a station or the entire data service is unavailable. Wait a while and try again.

One of the main objectives of the Work Package 2 (Windfarm Siting) is the determination of the suitability of sites for wind farm development in specific predefined Black Sea areas.
Towards this direction a high resolution database has been developed, based on the outcomes of the FP7 MARINA Platform project (http://forecast.uoa.gr/proj_marina.php). The data base covers a time period of 10 years (2001 – 2010) containing hourly data and covering a wide range of atmospheric, wave and tidal information

The Antarctic Tide Gauge (AntTG) database provides tidal harmonic coefficients (amplitude and phase) for ocean surface height (tide-induced height perturbation relative to the seabed) at many coastal, ocean and ice shelf locations around Antarctica. The coefficients are provided for up to 8 tidal constituents (Q1, O1, P1, K1, N2 , M2, S2, K2) where data is available. These coefficients are primarily intended for users interested in validation of tide models for the Antarctic seas including the areas covered by the floating ice shelves (e.g., King and Padman, 2005; King et al., 2011; Stammer et al., 2014). The database is provided as single files in ASCII text and MATLAB *.mat formats, as well as in a KML package that can be viewed in Google Earth.

Several different measurement systems were used to collect the data. The quality of database entries varies widely, from short records of unknown accuracy to very precise, long-term records from bottom pressure recorders in the ocean and GPS systems installed on ice shelves. This database provides sufficient quality control information (record length, time step, and measurement type) for a user to judge whether a tidal analysis at a particular site is likely to be useful for their application.

Provide predicted tidal information (Times and heights of astronomical high and low tides). The multiple file formats are available for datasets download in API.

The ocean tide is a large component of total variability of ocean surface height and currents in the seas surrounding Antarctica, including under the floating ice shelves. Maximum tidal height range exceeds 7 m (near the grounding line of Rutford Ice Stream) and maximum tidal currents exceed 1 m/s (near the shelf break in the northwest Ross Sea). Tides contribute to several important climate and ecosystems processes including: ocean mixing, production of dense bottom water, flow of warm Circumpolar Deep Water onto the continental shelves, melting at the bases of ice shelves, fracturing of the ice sheet near a glacier or ice stream’s grounding line, production and decay of sea ice, and sediment resuspension. Tide heights and, in particular, currents can change as the ocean background state changes, and as the geometry of the coastal margins of the Antarctic Ice Sheet varies through ice shelf thickness changes and ice-front and grounding-line advances or retreats. For satellite-based studies of ocean surface height and ice shelf thickness changes, tide heights are a source of substantial noise that must be removed. Similarly, tidal currents can also be a substantial noise signal when trying to estimate mean ocean currents from short-term measurements such as from acoustic Doppler current profilers mounted on ships and CTD rosettes. Therefore, tide models play critical roles in understanding current and future ocean and ice states, and as a method for removing tides in various measurements. A paper in Reviews of Geophysics (Padman, Siegfried and Fricker, 2018, see list of project-related publications below) provides a detailed review of tides and tidal processes around Antarctica.

This project provides a gateway to tide models and a database of tide height coefficients at the Antarctic Data Center, and links to toolboxes to work with these models and data.

In the Arctic Ocean, tides affect ocean circulation and mixing, and sea ice dynamics and thermodynamics. Significant advances have been made in global ocean tide models; however, their performance in the Arctic is hampered by poorly-mapped bottom topography, the dynamical influence of sea ice on tides, and limitations on satellite altimetry measurements due to the high latitudes and presence of sea ice. An additional factor is the limited availability of sea surface height (SSH) data in the Arctic. In situ measurements from coastal tide gauges and ocean bottom pressure sensors are crucial sources of information that can be used to understand the spatial variability of tides, interpret satellite SSH records that are undersampled in time, and validate the advances made in tide models. Global in situ tidal constituent databases contain values for a limited number of sites in the Arctic; for example, TICON-3 (Hart-Davis et al 2022) contains 111 stations above 60°N and 21 above 70°N, with most of these being around North America and Norway. Here, we present a comprehensive dataset of tidal constituents in the Arctic region. This dataset combines analyses of in situ measurements from coastal tide gauges, ocean bottom pressure sensors and global navigation satellite system (GNSS) reflectometry, which results in tidal coefficients for 914 sites above 60°N and 399 above 70°N with a much greater spatial distribution across the full Arctic Ocean than for existing global tidal datasets. The resultant dataset is quality assessed and compared to recent tide models to determine the reliability of the different data sources used. Hart-Davis, M.G., Dettmering, D., & Seitz, F. (2022). TICON-3: Tidal Constants based on GESLA-3 sea-level records from globally distributed tide gauges including gauge type information (data). PANGAEA, https://doi.org/10.1594/PANGAEA.951610

This dataset contains maps showing the principal attributes of tides around the Australian coast. It has been derived from data published in the Australian National Tide Tables.

CAMRIS, standing for the Coastal and Marine Resources Information System, is a small-scale spatial analysis system developed in collaboration by several divisions of Australia's Commonwealth Scientific and Industrial Research Organisation (CSIRO), as part of the CSIRO Coastal Zone Program. CSIRO Division of Wildlife and Ecology is the custodian of the 'coastal' subset of the Australian Resources Information System (ARIS). Coastal ARIS became the core dataset of the CAMRIS project. The Coastal ARIS database was developed from a coastal inventory developed by Galloway et al. This inventory contained relatively large scale data including landform, geology, vegetation, soil, land use, climate and population information for each of 3027 3x10km sections around the coastline of mainland Australia and Tasmania, but excluding offshore islands.CC - Attribution (CC BY) This data has been licensed under the Creative Commons Attribution 3.0 Australia Licence. More information can be found at http://www.ausgoal.gov.au/creative-commons.

This interactive map has many features designed to provide a quick and easy way to find a Center for Operational Oceanographic Products and Services (CO-OPS) station. It can be used to view and download data from real-time observations, historical observations, and predictions of tides and tidal currents.

this dataset comprises two netcdf files.the first file contains the six global two-dimensional maps necessary to implement the tidal mixing parameterization presented in de lavergne et al. (2020). four power fields (e_wwi, e_sho, e_cri and e_hil) represent depth-integrated internal tide energy dissipation, with units of watts per square meter. each power field corresponds to a specific dissipative process and associated vertical structure of turbulence production. the two remaining fields, h_cri and h_bot, are decay heights (with units of meters) that enter the vertical structures of the e_cri and e_hil components, respectively.the second file contains three-dimensional fields of turbulence production (with units of watts per kilogram) obtained by application of the parameterization to the woce global hydrographic climatology. the file includes the total turbulence production (epsilon_tid), its four components (epsilon_wwi, epsilon_sho, epsilon_cri, epsilon_hil), and the underlying hydrographic fields, as a function of longitude, latitude and depth.all maps have a horizontal resolution of 0.5º. detailed documentation of the parameterization can be found in the following publication:de lavergne, c., vic, c., madec, g., roquet, f., waterhouse, a.f., whalen, c.b., cuypers, y., bouruet-aubertot, p., ferron, b., hibiya, t. a parameterization of local and remote tidal mixing. journal of advances in modeling earth systems, 12, e2020ms002065 (2020). https://doi.org/10.1029/2020ms002065

This study is the first comprehensive publication of tidal datums and extreme tides for San Francisco Bay (Bay) since the United States Army Corps of Engineers (USACE) published itsSan Francisco Bay Tidal Stage vs. Frequency Study in 1984 (USACE 1984). The USACE study was groundbreaking at the time of publication, presenting tidal datums and the “100-year tide” elevation for 53 locations around the Bay. The purpose of this study is to update and expand on the USACE study and to present daily and extreme tidal information for more than 900 locations along the Bay shoreline. Tidal datums, described further in Section 2 , are standard elevations defined by a certain phase of the tide (e.g., mean high tide, mean low tide). A tidal datum is used as a reference to measure and define local water levels, and as such is specific to local hydrodynamic processes and is not easily extended from one area to another without substantiating measurements or analysis. Many industries and activities rely on tidal datums, including shipping and navigation, coastal flood management, coastal development, and wetland restoration. Extreme tidal elevations are estimated for less-frequent extreme tides (e.g., 2-year tides to 500-year tides [tides with a 50.0 percent to 0.2 percent annual chance of occurrence, respectively]). Knowledge of the 100-year tide, or the water elevation with a 1 percent annual chance of occurrence, is critical for shoreline planning, floodplain management, and sea level rise (SLR) adaptation efforts. This study presents detailed daily and extreme tide information for the entirety of the Bay shoreline. This data set will support floodplain management efforts; shoreline vulnerability and risk analyses; shoreline engineering, design, and permitting; ecological studies; and appropriate sea level rise adaptation planning. The goal of this study is to provide data that support a wide-range of planning efforts around the Bay, particularly as communities seek to understand—and begin to adapt to—rising sea levels. You can access the full report at: http://www.adaptingtorisingtides.org/wp-content/uploads/2016/05/20160429.SFBay_Tidal-Datums_and_Extreme_Tides_Study.FINAL_.pdf.

The purpose of this one-time stand-alone study is to evaluate how effective "fish-friendly" or self-regulating tide gates (SRTs) are at increasing connectivity for fish rearing in estuaries. The work was carried out in North Puget Sound, Washington Coast, and Columbia River estuaries by Correigh Greene, Jason Hall, and Eric Beamer (Skagit River System Cooperative), and compared SRTs with traditional flap gates and reference sites that were not blocked by any tide gate. Thus far, the study has produced a report for ESRP (Estuary Salmon Restoration Program), the organization that funded it. Up to two peer-reviewed papers are planned. The audience for this work includes federal and state managers, local planners, Watershed Councils, and applied ecologists. Access database of data loggers.

This data is from five tide stations located in waterways throughout Norfolk: Elizabeth River Eastern Branch at Grandy Village, Little Creek at 20th Bay Street, Lafayette River at Mayflower Road, Mason Creek at Granby Street, and Elizabeth River Main Branch at Nauticus. This data will allow users to track and analyze tide levels in the City of Norfolk. The data is updated daily and encompasses a timeframe of September 30, 2020 to present.

Note: At the Mason Creek tide gauge, the water flows through a weir system (small dam) that alters the flow characteristics of the water; data from this tide station will differ from the other four tide stations.

Disclaimer: The City is making this data available with the understanding that it has not been reviewed or verified by an expert. Although the City makes every effort to ensure the tide gauges are accurate, we cannot guarantee the calibration or proper functioning of the gauges and accurate recording of measured tide levels at all times. In no event will the City of Norfolk be liable for any damages, including but not limited to loss or damage to property, lost profits, business interruption, loss of business information or other pecuniary loss that might arise from the use of this data. Any use of this data is for general information only and shall not be used for any improper purpose.

This U.S. Geological Survey data release provides data on spatial variations in tidal datums, tidal range, and nuisance flooding in Chesapeake Bay and Delaware Bay. Tidal datums are standard elevations that are defined based on average tidal water levels. Datums are used as references to measure local water levels and to delineate regions in coastal environments. Nuisance flooding refers to the sporadic inundation of low-lying coastal areas by the maximum tidal water levels during spring tides, especially perigean spring tides (also known as king tides). Nuisance flooding is independent of storm event flooding, and it represents a cumulative or chronic hazard. The data were obtained by following a consistent methodology and at sufficient spatial resolution to resolve the distinct and complex features of each bay system. Tidal water levels were simulated by using the ADCIRC model system for the entire 2016 year. The year 2016 was chosen because it corresponded with the maximum magn ...

Monitoring data of major tides from various locations in Taiwan and the outlying islands *The download link has been updated since September 15, 112, please change it before December 31, 112, and the old link will be invalid after the deadline. For those who need to download a large amount of data, please apply for membership at the Meteorological Data Open Platform https://opendata.cwa.gov.tw/index

In the Arctic Ocean, tides affect ocean circulation and mixing, and sea ice dynamics and thermodynamics. Significant advances have been made in global ocean tide models; however, models of tides in the Arctic are hampered by the poorly-mapped bottom topography, the dynamical influence of sea ice, and limitations on satellite altimetry measurements due to the high latitudes and presence of sea ice. An additional factor is the limited availability of sea surface height (SSH) data in the Arctic. In-situ measurements from coastal tide gauges and ocean bottom pressure sensors are crucial sources of information that can be used to understand the spatial variability of tides, interpret the undersampled satellite SSH records, and validate the advances made in tide models. Global in-situ tidal constituent databases contain values for a limited number of sites in the Arctic; for example, TICON-3 (Hart-Davis et al 2022) contains 111 stations above 60°N and 21 above 70°N, with most of these being around North America. Here, we present a comprehensive dataset of tidal constituents in the Arctic region. This dataset combines analyses of in-situ measurements from coastal tide gauges, ocean bottom pressure sensors and GNSS reflectometry, which results in tidal coefficients for 914 sites above 60°N and 399 above 70°N with a much greater spatial distribution across the full Arctic Ocean than for existing global tidal datasets. The resultant dataset is quality assessed and compared to recent tide models to determine the reliability of the different data sources used.

description: The National Ocean Service (NOS) maintains a long-term database containing water level measurements and derived tidal data for coastal waters of the United States and U.S. territories. These data allow for the determination and maintenance of vertical reference datums used for surveying and mapping, coastal construction, waterborne commerce, water level regulation, marine boundary determination, and tide prediction, and for the determination of long-term water level variations (e.g. trends). The data also supports other U.S. government programs, including the National Weather Service (NWS) Tsunami Warning System, the NWS storm surge monitoring programs, and the NOAA Climate and Global Change Program. The database contains an extended series of water level measurements recorded at different tide observation stations. These data are processed to generate a number of products, including monthly and yearly averages for mean tide level, mean sea level, diurnal tide level, mean high and low water, mean range, diurnal mean range, monthly extremes for high and low waters, and frequency and duration of inundations (the number of times and length of time at which the water level has equaled or exceeded a specific elevation for a period of analysis). Data are compiled for coastal waters of the United States, Puerto Rico, the Virgin Islands, and U.S. territories in the Pacific region. Water levels are monitored from a network of over 200 permanent, continuously operating tide observation stations and from numerous stations operated for short-term and long-term projects. Water level measurements are compiled for a variety of observation periods, depending upon the location. For some tide observation stations, records date back to the late 1800s. Observed water level values are compiled primarily at six minute increments. In addition, some stations provide real-time data for planning and emergency situations. The observed values are processed to generate mean and extreme values for different temporal intervals, as noted above. The data consist simply of elevations of water, in feet, observed at specific geographic locations and temporal periods. All water level measurements are referenced to staff '0' and can be referenced to other datums, such as the North American Vertical Datum of 1988 (NAVD 88). Recent data are recorded to the hundredth of a foot; data collected prior to the mid-1960s are recorded to the tenth of a foot. The foundation of the water level database is the National Water Level Observation Network (NWLON), a system of long-term operating tide stations maintained by NOS. Data also are obtained through short-term and long-term cooperative projects with other federal, state, and local agencies and governments to accomplish mutual goals in water level measurement. For example, tide stations are operated temporarily for marine boundary determination and hydrographic survey projects. NOS also maintains several cooperative stations with foreign governments for the Climate and Global Change Program. Indices of tide stations maintained by NOS are available which include for each station the latitude, longitude, dates of observations, bench mark sheet publication date, and tidal epoch. NOS also issues tidal bench mark sheets upon completion of a data collection series or as needed for long-term NWLON stations. Tidal bench mark sheets provide location descriptions and vertical elevations referenced to tidal datums of the station bench marks. A table of tidal datums and the 1929 NGVD, when available, are referenced to the station reference datum. A number of products are issued monthly and annually, for free or on a cost recovery basis. The products are distributed on either hard copy, floppy disk, CD, or over the web and include the following: o Tide Observation Station Lists o Tides, 6-Minute Heights o Tides, Hourly Heights of Tides, Times and Heights of High and Low Waters o Tides, Monthly Mean Summaries o Tidal Bench Mark Sheets with Tidal Datums o Frequency and Duration Analysis of Tidal Water Levels o Daily Mean Sea Level; abstract: The National Ocean Service (NOS) maintains a long-term database containing water level measurements and derived tidal data for coastal waters of the United States and U.S. territories. These data allow for the determination and maintenance of vertical reference datums used for surveying and mapping, coastal construction, waterborne commerce, water level regulation, marine boundary determination, and tide prediction, and for the determination of long-term water level variations (e.g. trends). The data also supports other U.S. government programs, including the National Weather Service (NWS) Tsunami Warning System, the NWS storm surge monitoring programs, and the NOAA Climate and Global Change Program. The database contains an extended series of water level measurements recorded at different tide observation stations. These data are processed to generate a number of products, including monthly and yearly averages for mean tide level, mean sea level, diurnal tide level, mean high and low water, mean range, diurnal mean range, monthly extremes for high and low waters, and frequency and duration of inundations (the number of times and length of time at which the water level has equaled or exceeded a specific elevation for a period of analysis). Data are compiled for coastal waters of the United States, Puerto Rico, the Virgin Islands, and U.S. territories in the Pacific region. Water levels are monitored from a network of over 200 permanent, continuously operating tide observation stations and from numerous stations operated for short-term and long-term projects. Water level measurements are compiled for a variety of observation periods, depending upon the location. For some tide observation stations, records date back to the late 1800s. Observed water level values are compiled primarily at six minute increments. In addition, some stations provide real-time data for planning and emergency situations. The observed values are processed to generate mean and extreme values for different temporal intervals, as noted above. The data consist simply of elevations of water, in feet, observed at specific geographic locations and temporal periods. All water level measurements are referenced to staff '0' and can be referenced to other datums, such as the North American Vertical Datum of 1988 (NAVD 88). Recent data are recorded to the hundredth of a foot; data collected prior to the mid-1960s are recorded to the tenth of a foot. The foundation of the water level database is the National Water Level Observation Network (NWLON), a system of long-term operating tide stations maintained by NOS. Data also are obtained through short-term and long-term cooperative projects with other federal, state, and local agencies and governments to accomplish mutual goals in water level measurement. For example, tide stations are operated temporarily for marine boundary determination and hydrographic survey projects. NOS also maintains several cooperative stations with foreign governments for the Climate and Global Change Program. Indices of tide stations maintained by NOS are available which include for each station the latitude, longitude, dates of observations, bench mark sheet publication date, and tidal epoch. NOS also issues tidal bench mark sheets upon completion of a data collection series or as needed for long-term NWLON stations. Tidal bench mark sheets provide location descriptions and vertical elevations referenced to tidal datums of the station bench marks. A table of tidal datums and the 1929 NGVD, when available, are referenced to the station reference datum. A number of products are issued monthly and annually, for free or on a cost recovery basis. The products are distributed on either hard copy, floppy disk, CD, or over the web and include the following: o Tide Observation Station Lists o Tides, 6-Minute Heights o Tides, Hourly Heights of Tides, Times and Heights of High and Low Waters o Tides, Monthly Mean Summaries o Tidal Bench Mark Sheets with Tidal Datums o Frequency and Duration Analysis of Tidal Water Levels o Daily Mean Sea Level

eot20 is the latest in a series of global ocean tide models developed at dgfi-tum. eot20 is created using residual tidal analysis of multi-mission altimetry data from the period of 1992 to 2019. eleven satellite altimetry missions are used and the fes2014b tide model used as the reference model for the residual tidal analysis. the model extends throughout the global ocean, with eot20 ranging from 66°s to 66°n with fes2014b being used to fill in the higher latitudes. the model provides data about the amplitudes and phases as well as the real and imaginary components of seventeen tidal constituents for the global ocean. these tidal constituents are: 2n2, j1, k1, k2, m2, m4, mf, mm, n2, o1, p1, q1, s1, s2, sa, ssa and t2. both the ocean and load tide atlases are provided with a spatial resolution of 1/8 degree. two versions of the dataset are provided here. the final eot20 version is provided open access and should be used for all applications. in addition, an old version is available on request. this version was the initial version available for download until july 1st, 2021. during the review process, it turned out that this version has issues within the netcdf4 file conversion and should not be used for any application.

Sea surface height, vertically averaged pressure anomalies and pressure gradients, filtered at the M2 frequencies (period: 12.4206 hours)

This data was used to produce the figures in: Baroclinic Sea-Level, by McWilliams, Molemaker, and Damien.

Barotropic tide model for the Pacific Ocean. The model is based on harmonics distributed by Oregon State University (OSU) and assimilates satellite altimetry data from TOPEX/Poseidon. It was generated using OSU Tidal Prediction Software (OTPS), modified locally by J. Potemra, using barotropic inverse tidal solutions from OSU. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use this output with the caution appropriate for any ocean related activity. acknowledgement=The Pacific Islands Ocean Observing System (PacIOOS) is funded through the National Oceanic and Atmospheric Administration (NOAA) as a Regional Association within the U.S. Integrated Ocean Observing System (IOOS). PacIOOS is coordinated by the University of Hawaii School of Ocean and Earth Science and Technology (SOEST). cdm_data_type=Grid comment=Model runs produced by Jim Potemra (jimp@hawaii.edu). contributor2_email=jimp@hawaii.edu contributor2_institution=University of Hawaii at Manoa contributor2_name=James T. Potemra contributor2_role=custodian contributor2_type=person contributor2_url=https://iprc.soest.hawaii.edu/people/potemra.php contributor_email=serofeev@ceoas.oregonstate.edu contributor_institution=Oregon State University (OSU) contributor_name=Svetlana Y. Erofeeva contributor_role=originator contributor_type=person contributor_url=https://ceoas.oregonstate.edu/svetlana-erofeeva Conventions=CF-1.6, ACDD-1.3 date_metadata_modified=2024-12-18 Easternmost_Easting=178.0 geospatial_bounds=POLYGON ((-66.0 118.0, 66.0 118.0, 66.0 180.0, -66.0 180.0, -66.0 118.0), (-66.0 -180.0, 66.0 -180.0, 66.0 -70.0, -66.0 -70.0, -66.0 -180.0)) geospatial_bounds_crs=EPSG:4326 geospatial_lat_max=66.0 geospatial_lat_min=-66.0 geospatial_lat_resolution=2.0 geospatial_lat_units=degrees_north geospatial_lon_max=178.0 geospatial_lon_min=-180.0 geospatial_lon_resolution=2.0 geospatial_lon_units=degrees_east history=2011-06-27T00:00:00Z New PacIOOS dataset (J. Potemra) using Oregon State University (OSU) Tidal Prediction Software (OTPS). 2019-11-29T00:00:00Z Limited archive to 2019-2020. 2020-12-07T00:00:00Z Limited archive to 2020-2021. 2021-12-15T00:50:00Z Limited archive to 2020-2022. 2022-12-08T22:38:00Z Limited archive to 2021-2023. 2023-12-07T20:05:00Z Limited archive to 2023-2024. 2024-12-18T17:49:00Z Limited archive to 2024-2025. id=tide_pac infoUrl=http://volkov.oce.orst.edu/tides/PO.html institution=Pacific Islands Ocean Observing System (PacIOOS) instrument=Not Applicable > Not Applicable instrument_vocabulary=GCMD Instrument Keywords ISO_Topic_Categories=oceans keywords_vocabulary=GCMD Science Keywords locations=Ocean > Pacific Ocean locations_vocabulary=GCMD Location Keywords metadata_link=https://www.pacioos.hawaii.edu/metadata/tide_pac.html naming_authority=org.pacioos Northernmost_Northing=66.0 platform=Models/Analyses > > Operational Models platform_vocabulary=GCMD Platform Keywords program=Pacific Islands Ocean Observing System (PacIOOS) project=Pacific Islands Ocean Observing System (PacIOOS) references=https://www.tpxo.net/otis source=Oregon State University (OSU) Tidal Prediction Software (OTPS), OSU Tidal Data Inversion (OTIS) sourceUrl=https://pae-paha.pacioos.hawaii.edu/thredds/dodsC/tide_pac Southernmost_Northing=-66.0 standard_name_vocabulary=CF Standard Name Table v39 time_coverage_end=2025-12-31T23:00:00Z time_coverage_resolution=PT1H time_coverage_start=2024-01-01T00:00:00Z Westernmost_Easting=-180.0

This a repository accompanying the paper titled, Deriving Tidal Constituent Estimates from GNSS Buoy Data in the Arctic. This research focusses on developing a novel technique to obtain tidal current constituents from ocean drifting buoy data. This approach is particularly suitable in places like the Arctic where data is limited. In this repo, we provide all the scripts and data generated for the individual results of the paper. The user is encouraged to contact the authors for any discrepancy or any questions faced by them.