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Dataset results
13 results for “tidal currents”
Fig. 6 in Longshore currents on a meso-tidal beach of Goa, India - Measurements and improved formulae
Fig. 6 — Comparison of estimated longshore current velocity using modified equations with the measured current at C1
Fig. 3 in Longshore currents on a meso-tidal beach of Goa, India - Measurements and improved formulae
Fig. 3 — Alongshore varying significant wave height and mean wave period observed at surfzone of Candolim vs off Goa
Fig. 2 in Longshore currents on a meso-tidal beach of Goa, India - Measurements and improved formulae
Fig. 2 — Alongshore varying current speed and current direction at Candolim with water level
Fig. 1 in Longshore currents on a meso-tidal beach of Goa, India - Measurements and improved formulae
Fig. 1 — Map of (a) Study area, and (b) Measurement locations
Fig. 4 in Longshore currents on a meso-tidal beach of Goa, India - Measurements and improved formulae
Fig. 4 — Comparison of estimated longshore current velocity with measurements at C1 \
California Current Ecosystem site, station NOAA Station 9410170, San Diego, CA, study of mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) in units of meter on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from California Current Ecosystem (CCE) contains mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) measurements in meter units and were aggregated to a monthly timescale.
California Current Ecosystem site, station NOAA Station 9410170, San Diego, CA, study of mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) in units of meter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from California Current Ecosystem (CCE) contains mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) measurements in meter units and were aggregated to a yearly timescale.
In-Stream Energy by Tidal and Wind-Driven Currents: An Analysis for the Gulf of California
<p>Dataset associated with the submitted publication - "In-Stream Energy by Tidal and Wind-Driven<br> Currents: An Analysis for the Gulf of California" in Energies.</p> <p>Created: 10/15/2020 by Victor M. Godínez (CICESE). Ver. 1.0</p> <p>Authors: Vanesa Magar, Victor M. Godínez, Markus S. Gross, Manuel López-Mariscal, Anahí Bermúdez-Romero, Julio Candela and Luis Zamudio.<br> Project_info: This data base has been obtained during the project funded by the financial support of SENER-CONACyT grant 249795, within the project "CeMIE-Océano".</p> <p>License: The authors appreciate that users of these data: 1) Include the requested acknowledgment (cite using the DOI of this dataset) in any presentations or publications.</p> <p>Fig2: Variables:</p> <p> 'Time' 'Julian days'</p> <p> 'SEC Speed' 'm/s'</p> <p> 'HYCOM Speed' 'm/s'</p> <p> </p> <p>Fig3: Variables:</p> <p> 'Latitude' 'degrees'</p> <p> 'Longitude' 'degrees'</p> <p> 'U STM Speed' 'm/s'</p> <p> </p> <p>Fig5: Variables:</p> <p> 'Latitude' 'degrees'</p> <p> 'Longitude' 'degrees'</p> <p> 'TPD>50' 'W m<sup>-2</sup>'</p> <p> </p> <p>Fig6: Variables:</p> <p> 'Latitude' 'degrees'</p> <p> 'Longitude' 'degrees'</p> <p> '%Time TPD>50' '%'</p> <p> </p> <p>Fig7: Variables:</p> <p> 'Latitude' 'degrees'</p> <p> 'Longitude' 'degrees'</p> <p> 'AEP ' 'k Wh m<sup>-2</sup> yr<sup>-1</sup>'</p> <p> </p> <p>Fig8: Variables:</p> <p> 'Latitude' 'degrees'</p> <p> 'Longitude' 'degrees'</p> <p> 'Residual TPD ' 'W m<sup>-2</sup>'</p> <p> </p> <p>Fig9: Variables:</p> <p> 'Latitude' 'degrees'</p> <p> 'Longitude' 'degrees'</p> <p> '%AEP from total AEP '%'</p>
Data used in "Internal tides reverse tidal currents around southern Taiwan"
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Data from: The effect of uncertain bottom friction on estimates of tidal current power
Uncertainty affects estimates of the power potential of tidal currents, resulting in large ranges in values reported for a given site, such as the Pentland Firth, UK. We examine the role of bottom friction, one of the most important sources of uncertainty. We do so by using perturbation methods to find the leading-order effect of bottom friction uncertainty in theoretical models by Garrett & Cummins (2005), Vennell (2010), and Garrett & Cummins (2013), which consider quasi-steady flow in a channel completely spanned by tidal turbines, a similar channel but retaining the inertial term, and a circular turbine farm in laterally unconfined flow. We find that bottom friction uncertainty acts to increase estimates of expected power in a fully-spanned channel, but generally has the reverse effect in laterally unconfined farms. The optimal number of turbines, accounting for bottom friction uncertainty, is lower for a fully-spanned channel and higher in laterally unconfined farms. We estimate the typical magnitude of bottom friction uncertainty, which suggests that the effect on estimates of expected power lies in the range −5 to +30%, but is probably small for deep channels such as the Pentland Firth (5-10%). In such a channel, the uncertainty in power estimates due to bottom friction uncertainty remains considerable, and we estimate a relative standard derivation of 30%, increasing to 50% for small channels.
Fig. 7 in Longshore currents on a meso-tidal beach of Goa, India - Measurements and improved formulae
Fig. 7 — Comparison of estimated longshore current velocity using modified equations with the measured current at C2
Data from: The effect of uncertain bottom friction on estimates of tidal current power
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Fig. 5 in Longshore currents on a meso-tidal beach of Goa, India - Measurements and improved formulae
Fig. 5 — Comparison of estimated longshore current velocity with measurements at C2
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