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39 results for “Lagrangian trajectories”
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y1 & Y2
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 1000m particles releases for the years 1996 (Y1) and 1997 (Y2).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y13 & Y14
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 1000m particles releases for the years 2008 (Y13) and 2009 (Y14).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y15 & Y16
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 1000m particles releases for the years 2010 (Y15) and 2011 (Y16).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y9 & Y10
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 1000m particles releases for the years 2004 (Y9) and 2005 (Y10).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y3 & Y4
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 1000m particles releases for the years 1998 (Y3) and 1999 (Y4).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y7 & Y8
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 1000m particles releases for the years 2002 (Y7) and 2003 (Y8).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y19 & Y20
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 1000m particles releases for the years 2014 (Y19) and 2015 (Y20).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y17 & Y18
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 1000m particles releases for the years 2012 (Y17) and 2013 (Y18).</p>
HYCOM-OceanTrack: Integrated HYCOM Eulerian Fields and Lagrangian Trajectories Dataset
<p>A combined dataset on the Registry of Open Data on AWS of simulated ocean sea surface height, near-surface velocities, and particle trajectories from a global 1/25th degree HYbrid Coordinate Ocean Model (HYCOM) 1-year run.</p>
Lagrangian trajectories tracking the origin and fate of a hydrothermal plume observed in the southeastern Pacific sector of the Southern Ocean
<p>A dataset of Lagrangian trajectories which were used to estimate the origin and fate of a hydrothermal plume in the southeastern Pacific sector of the Southern Ocean observed during the DY111 CUSTARD cruise. All variables have long names and units. These files have been used for the analysis in Birchill and Baker et al. ‘Pathways and timescales of Southern Ocean hydrothermal iron and manganese transport’ with further information about the methodology available in the paper. There are five forward-tracking experiments from suspected vent sites (CUSTARD_NEPR.nc, CUSTARD_SEPR.nc, CUSTARD_PAR.nc, CUSTARD_WCR.nc and CUSTARD_ECR.nc) included in the paper and one forward-tracking experiment that was not included in the paper (CUSTARD_EM.nc) as no trajectories crossed our sampling site. There was one backward-tracking experiment undertaken from the Ocean Observatories Initiative (OOI) station at which the hydrothermal signal was observed (CUSTARD_OOI_backward.nc).</p>
Trajectories for 'A Lagrangian view of the atmospheric river related to the heavy rainfall of July 2020 in Japan: Importance of moisture gain during transport''
<p>This is the trajectories output for the article 'A Lagrangian view of the atmospheric river related to the heavy rainfall of July 2020 in Japan: Importance of moisture gain during transport''.</p> <p>The settings for FLEXPART-WRF is also included.</p>
Trajectory Movie for the article 'A Lagrangian view of the atmospheric river related to the heavy rainfall of July 2020 in Japan: Importance of moisture gain during transport'
<p>The supplement movie for the article 'A Lagrangian view of the atmospheric river related to the heavy rainfall of July 2020 in Japan: Importance of moisture gain during transport'.</p>
Parcels-WAOM model data: Lagrangian particle trajectories
<p>This data set includes the results of Lagrangian particle tracking experiments with Parsels in Weddell and Ross seas. </p> <p>The following information for each particle is stored once a day: longitude (lon in files), latitude (lat), time (time), depth (z), temperature (temp), salinity (sal), ice draft (ice).</p> <p>Each *.zip archive contains one experiment in netcdf file for one of the seas (Weddell or Ross seas) and for one of four seasons during 20 years of simulations. </p>
Lagrangian trajectories representing surface drift from the Cape Verde islands
<p><strong>Example trajectories from a biophysical Lagrangian simulation</strong></p> <p>This is 25x 10.000 example trajectories from biophysical experiments performed with Parcels.</p> <p>The trajectories are a tiny subset of a much bigger collection of trajectories that have been simulated with the aim of learning about the fate of particles drifting away from the Cape Verde islands.</p> <p><em>Note, that these trajectories should not be used for biological or physical science but merely serve as study objects for developing, testing, or benchmarking (stasticical) methods and algorithms.</em></p> <p><strong>Details of the experiments</strong></p> <p>The trajectories are taken from 25 sets of biophysical simulations which differ in the year they represent. Particles are seeded between mid of August and start of December of the years 1993 to 2017. They are subject to Ocean surface currents simulated by a high-resolution ocean model and subject to Stokes Drift estimated by a wave simulation data provided by the Copernicus Marine Service (<a href="https://marine.copernicus.eu/">https://marine.copernicus.eu/</a>).</p> <p><strong>Data</strong></p> <p>The full data come as a Zarr store inside of a ZIP file <code>cape_verde_drift_trajectories_1993-2017.zarr.zip</code> which you need to download and unzip to be able to read it, e.g., with Xarray's <code>open_zarr</code> method. There are subsets of 10000 trajectories provided as compressed csv files split into years called <code>cape_verde_drift_trajectories_1-10000_1993.csv.gz</code> ... <code>cape_verde_drift_trajectories_1-10000_2017.csv.gz</code>. And there are subsets of 100 trajectories provided as un-compressed csv files split into years <code>called cape_verde_drift_trajectories_1-100_1993.csv</code> ... <code>cape_verde_drift_trajectories_1-100_2017.csv</code>.</p> <p><strong>Variables and their meaning</strong></p> <ul> <li><code>"obs"</code> contains the time step since the larva started to exist. Each trajectory covers up to 881 daily positions.</li> <li><code>"traj"</code> indicates the trajectory ID.</li> <li><code>"lat"</code> and <code>"lon"</code> contain the horizontal positions in degrees Latitude and Longitude.</li> <li><code>"temp"</code> contains the ambient temperature in degrees Celsius the simulated larva would have felt.</li> <li><code>"time"</code> contains time stamps for each position.</li> <li><code>"z"</code> contains the vertical positions of the simulated larva in meters counted downwards. As <code>"z</code>" does not vary (all particles are at the surface), it is omitted from the CSV files.</li> </ul> <p><strong>Details on the subsetting</strong></p> <p>See <a href="https://nbviewer.org/urls/zenodo.org/record/6826071/files/cape_verde_turtle_subsetting.ipynb">cape_verde_turtle_subsetting.ipynb</a>.</p> <p><strong>Using the data</strong></p> <p>This data set is licensed under a <em>Creative Commons Attribution 4.0 International License</em>.</p> <p>If you use the data, we'd love to get a notice to <a href="mailto:wrath@geomar.de">wrath@geomar.de</a>. This is, however, not required.</p>
Data for publication "Chasing ice crystals: interlinking cloud microphysics and dynamics in cloud seeding plumes with Lagrangian trajectories"
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Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 2000m Y5 & Y6
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 2000m particles releases for the years 2000 (Y5) and 2001 (Y6).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 2000m Y19 & Y20
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 2000m particles releases for the years 2014 (Y19) and 2015 (Y20).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 500m Y19 & Y20
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 500m particles releases for the years 2014 (Y19) and 2015 (Y20).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y5 & Y6
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 1000m particles releases for the years 2000 (Y5) and 2001 (Y6).</p>
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