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57 results for “Drifters”
Figure 2 in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 2. Drifter tracks in the Caspian Sea: (a) from 4 October 2006 to 20 February 2007, and (b) from 19 July 2008 to 10 October 2008.
Figure 10 in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 10. Dependence between SST from the drifter and according to data from Landsat-5, -7 sensors having different levels of processing.
Figure 7 in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 7. Histogram of temperature determination error values according to Landsat Level-1 data: (a) measurements that have a time difference of no more than two hours with the flight of the satellite; (b) all measurements on the day of the satellite flyby.
Figure 3. A in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 3. A mosaic of Landsat-7 images in the Caspian Sea: (a) from 4 October 2006 to 20 February 2007, and (b) from 19 July 2008 to 10 October 2008. Drifter tracks are superimposed on satellite images.
Figure 9 in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 9. Histogram of temperature determination error values according to Landsat Level-2 data: (a) measurements that have a time difference of no more than two hours with the flight of the satellite; (b) all measurements on the day of the satellite flyby.
Figure 6 in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 6. The relationship between the temperature of the sea surface layer obtained from drifters and SST according to Landsat-5, -7 Level-1 data: (a) measurements that have a time difference of no more than two hours with the flight of the satellite; (b) all measurements on the day of the satellite flyby.
Figure 5 in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 5. Examples of using a cloud mask (satellite image taken on 29 July 2008). At the time of the satellite's flight, all measurement points for the day are blocked by clouds: (a) satellite image in natural colors with missing information along the bands; (b) same image with cloud mask superimposed. Red dots show several locations of one drifter during the day of satellite image acquisition.
Drifter deployment strategies to determine Lagrangian surface convergence in submesoscale flows
<p>Data used for the preparation of the manuscript "Drifter deployment strategies to determine Lagrangian surface convergence in submesoscale flows".</p>
ADCP data collected in the Southern California Bight by SWIFT drifters as part of the ONR "Langmuir Circulation Departmental Research Initiative (LC-DRI)"
<p>This is the public archive for ADCP data collected with SWIFT drifters during the 'Langmuir Circulation' Office of Naval Research Departmental Research Initiative (LC-DRI) field experiment, conducted between March 19th and April 6th, 2017 in the Southern California Bight 40 km west of Catalina Island. SWIFTs were deployed and recovered from the R/V R.G. Sproul during cruise SP1709 (Cruise DOI: 10.7284/907464). SWIFTs were deployed during storms with wind speeds up to 20 m/s and sampled strong diurnal warm layers during weaker wind periods.</p>
SWIFT data collected in the Southern California Bight by SWIFT drifters as part of the ONR Langmuir Circulation Departmental Research Initiative (LC-DRI)
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Pressure and Inertial sensing drifter data for glacial hydrology flow path.
<p>Raw data for paper titled 'Topology and pressure distribution reconstruction of an englacial channel'</p> <p>The dataset consists of field measurements conducted on Austre Brøggerbreen, Ny-Ålesund, Svalbard. The dataset consists of:</p> <p>(1)Raw englacial data (6 deployments), 2019; (2) Raw supraglacial data (11 deployments), 2019; (3) Average GNSS drifter path along the supraglacial channel, 2019; (4) GNSS drifter path along the englacial channel, 2020; (5) Englacial river mapped from a satellite image.</p> <p>The experimental work was conducted between 30.06.2019 and 05.07.2019, during the period of the main spring snow melt. All drifters were recovered by hand from the river.</p>
Dataset from Lagrangian bio-optical drifters during four experiments in coastal and open ocean waters
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Surface drifters and high resolution global simulations mapping of internal tide surface energy
<p>File " gdp_energy.nc " contains surface semidiurnal internal tides binned-averaged energy levels estimated from the Global Drifter Program dataset. </p> <p>File " <a href="../api/records/10851200/draft/files/energy_SSV_hf_binned_dl1.0_attrs.nc/content" target="_blank" rel="noopener noreferrer">energy_SSV_hf_binned_dl1.0_attrs.nc</a> " contains semidiurnal internal tides squared binned-averaged surface meridional velocity estimated from LLC4320 outputs and simulated drifters. Bins size is 1deg x 1deg .</p> <p>File " <a href="../api/records/10851200/draft/files/energy_SSV_hf_binned_dl1.0_attrs.nc/content" target="_blank" rel="noopener noreferrer">energy_SSU_hf_binned_dl1.0_attrs.nc</a> " contains semidiurnal internal tides squared binned-averaged surface zonal velocity estimated from LLC4320 outputs and simulated drifters. Bins size is 1deg x 1deg .</p> <p>File " <a href="../api/records/10851200/draft/files/energy_SSV_hf_binned_dl1.0_attrs.nc/content" target="_blank" rel="noopener noreferrer">energy_SSV_hf_binned_dl2.0_attrs.nc</a> " contains semidiurnal internal tides squared binned-averaged surface meridional velocity estimated from LLC4320 outputs and simulated drifters. Bins size is 2deg x 2deg .</p> <p>File " <a href="../api/records/10851200/draft/files/energy_SSV_hf_binned_dl1.0_attrs.nc/content" target="_blank" rel="noopener noreferrer">energy_SSU_hf_binned_dl2.0_attrs.nc</a> " contains semidiurnal internal tides squared binned-averaged surface zonal velocity estimated from LLC4320 outputs and simulated drifters. Bins size is 2deg x 2deg .</p> <p>File " <a href="../api/records/10851200/draft/files/energy_SSV_hf_binned_dl1.0_attrs.nc/content" target="_blank" rel="noopener noreferrer">energy_hf_binned_dl1.0_attrs.nc</a> " contains semidiurnal internal tides binned-averaged kinetic energy levels estimated from LLC4320 outputs and simulated drifters. Bins size is 1deg x 1deg .</p> <p>For all files semidiurnal signal is obatined from band-pass filtering.</p>
Fig. 8B in Influence of Dardanelles outflow induced thermal fronts and winds on drifter trajectories in the Aegean Sea
Fig. 8B: Same as Figure 8A but for the period 5-7 September 2008.
An Economical Open-Source Lagrangian Drifter Design to Measure Deep Currents in Lakes
<p>An economical, open-source Lagrangian drifter designed to collect current data on lakes<200km2 was evaluated against existing designs. The new design was tested in deep inland lakes in the Finger Lakes region of New York, USA and is effective at tracking deep currents. The ease and low-cost of fabrication and launch/recovery should facilitate use of this design by less-advantaged communities & researchers.</p> <p>This project includes data and code for preparation of graphs and charts to illustrate Lagrangian drifter experiments in Seneca Lake and Keuka Lake, New York, USA.</p>
Palau 2015/16 drifter data
<p>This is a set of tracks for 20 drifters deployed on or near the western side of Palau in November/December 2015. Only fixes for when the drifters were in the water (not on boats or land) are included. Time is given in Matlab format. Note that the time between fixes is not constant. This data is reported in the manuscript (ver 2) submitted in April 2018 to Geophysical Research Letters by the authors titled "Transport between Palau and the Eastern Coral Triangle: Larval Connectivity or Near Misses".</p>
Figure 1 in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 1. Drifter device [Lagrangian drifter laboratory, 2024]
Lagrangian drifter output in the Southeast Indian Ocean using the Connectivity Modelling System output forced with TROPAC01
<p>This dataset contains Lagrangian drifter trajectories from the Connectivity Modelling System (CMS) in the Southeast Indian Ocean. CMS was forced with ocean velocity fields from TROPAC01 and this experiment was focused on sources of the Leeuwin Current. TROPAC01 is a high-resolution ocean general circulation model, developed by the European Drakkar cooperation [Barnier et al., 2007] it is based on the NEMO [v3.2 Madec, 2008] code. Specifically, it is a 1/10 horizontal resolution model of the tropical Indo- Pacific region (spanning the area from 73°E - 63°W to 49°S - 31°N), nested within a half-degree global ocean/ sea-ice model. More information on the model configuration used for this experiment can be found in [van Sebille et al., 2014]. Using the velocity fields from TROPAC01 we then use the Connectivity Modelling System (CMS) v1.1 [Paris et al., 2013] to integrate the virtual particles in three-dimensional time-evolving flow.</p> <p>Version v1.0 of this dataset includes ascii raw model output of CMS trajectories and the forcing file (seed file) that enables a user to calculate absolute time of a particle's location. Variables are: particle_number, time, longitude, latitude, depth, exit_code.</p> <p>These experiments were executed by Christopher Bull of the ARC Centre of Excellence for Climate System Science (ARCCSS) research program "Mechanisms and attribution of past and future ocean circulation change", as part of Christopher's PhD candidature.</p> <p> </p> <p>References:</p> <p> Code and documentation for the CMS is available at:</p> <p> https://github.com/beatrixparis/connectivity-modeling-system</p> <p>Claire B. Paris, Judith Helgers, Erik van Sebille, Ashwanth Srinivasan, 2013.<br> Connectivity Modeling System: A probabilistic modeling tool for the multi-scale tracking of biotic and abiotic variability in the ocean,<br> Environmental Modelling & Software, Volume 42, 2013, Pages 47-54, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2012.12.006.</p> <p>van Sebille, E., Sprintall, J., Schwarzkopf, F. U., Gupta, A. S., Santoso, A., England, M. H., Biastoch, A., and Böning, C. W. (2014), Pacific-to-Indian Ocean connectivity: Tasman leakage, Indonesian Throughflow, and the role of ENSO, <em>J. Geophys. Res. Oceans</em>, 119, 1365– 1382, doi:<a href="https://doi.org/10.1002/2013JC009525">10.1002/2013JC009525</a>.</p>
Tracking marine tetrapod carcasses using a low-cost mixed methodology with GPS trackers, passive drifters, and citizen science
<div> <ol> <li> <span><span>Drift experiments are essential to understand stranding patterns and to estimate the mortality of beached animals.</span><span> Most studies do not use telemetry technology due to the high costs of this methodology. </span></span><span><span>The objective of this paper is to describe the possibilities of tracking marine tetrapod carcasses with a low-cost and replicable methodology.</span> <span>The study was conducted </span></span><span><span>in the Southern Subtropical Shelf (~ 28º–34º S), </span><span>a highly productive and key ecological </span><span>region of the southwestern Atlantic Ocean (SWA).</span></span><span> </span> </li> <li> <p><span><span>W</span></span><span><span>e designed and tested a low-cost mixed methodology including </span><span>Global Positioning System </span><span>trackers, passive drifters (reused glass bottles), and Citizen Science (through instant message platform and email) for tracking carcasses of marine </span><span>tetrapods</span><span>. We performed four drift experiments, </span><span>during the</span><span> four seasons </span><span>of</span><span> 2019</span><span>.</span> </span><span><span>We released 787 drifters (600 non-biological and 187 carcasses</span><span> of seabirds, </span><span>sea turtles</span><span>, and cetaceans</span><span>)</span></span><span><span> at sea, at five</span><span> equally</span> <span>separated </span><span>distances (5</span><span>–</span><span>25 km) from the coast.</span> <span>Beach surveys and Citizen Science were implemented to </span><span>recover </span><span>the beached drifters.</span></span></p> </li> <li> <p><span><span>We</span><span> re</span><span>covered </span><span>71.83% of non-biological </span><span>and 27.27% of carcasses </span><span>released</span><span>. We tracked the movements of 38 carcasses </span><span>(25 sea turtles and 13 </span><span>cetaceans</span><span>) with 17 GPS devices. The drift</span><span>ing</span><span> time</span><span>,</span><span> until reaching the beach</span><span>,</span><span> ranged from 12h to 17 days</span><span> for carcasses and 12h to 406 days for bottles</span><span>. </span></span><span><span>Citizen Science was the most important source of rec</span><span>overies </span><span>of non-biological drifters, representing 66.67% of the total bottles rec</span><span>ove</span><span>r</span><span>ed</span><span>.</span> <span>For carcasses, active search was the most important recovery source, representing 64.7% of the total carcasses</span><span> recovered</span><span>.</span></span></p> </li> <li> <p><span>Our study contributes with new findings about drift patterns of marine tetrapods in the SWA and describes an accessible low-cost mixed methodology for small and medium-budget projects that can be </span><span>replicated in other coastal regions of the world for tracking a wide range of marine tetrapod species.</span></p> </li> </ol> </div>
Tracking marine tetrapod carcasses using a low-cost mixed methodology with GPS trackers, passive drifters, and citizen science
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