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16 results for “cyclone tracks”
Mediterranean Cyclone tracks between 1979-2018 (40 years) from a high-resolution perspective using ECMWF ERA5 dataset
<p>The present dataset presents the trajectories of the 13,157 cyclones identified within the Mediterranean Region (MR) between 1979 and 2018 (40 years). These cyclone tracks were obtained using the new Cyclone Detection and Tracking Method (CDTM) described in Aragão e Porcù (2021) to take advantage of the recent availability of a high-resolution reanalysis dataset of ECMWF ERA5. The CDTM uses hourly data of Geopotential Height at 1000 hPa with a spatial resolution of 0.25°x0.25°, and the analysis' domain covers the area within 15°W to 48° E and 21° N to 54°N. Additionally, trying to eliminate artificial low-pressure cores, short-living thermal-lows or too weak cyclones as much as possible, the present study only considered cyclones lasting more than 24h.<br> The dataset presents hourly information for all cyclones from the cyclogenesis time to the cyclolysis time. Each record presents: [1] Cyclone ID (integer, 8 digits), [2] Cyclone centre longitude position (°E, real, 8 digits, 3 decimal digits), [3] Cyclone centre latitude position (°N, real, 8 digits, 3 decimal digits), [4] Year (integer, 4 digits), [5] Month (integer, 2 digits), [6] Day (integer, 2 digits), [7] Hour (integer, 2 digits), [9] Cyclone centre Geopotential Height at 1000 hPa (m, real, 9 digits, 3 decimal digits).<br> The analyses presented in Aragão e Porcù (2021) revealed that the proposed CDTM is capable to capture almost the totality of the observed cyclones, as well as describing its respective area of cyclogenesis, trajectories, and durations. More than an adaptation to a high-resolution dataset, the method brings as its primary contribution a suitable set of parameters to systematically identify and track the cyclonic activities in the Mediterranean, where cyclones do not have sizeable horizontal pressure gradients and present a shorter lifetime compared to open-ocean cyclones.</p> <p>Cite this article</p> <p>Aragão, L., Porcù, F. Cyclonic activity in the Mediterranean region from a high-resolution perspective using ECMWF ERA5 dataset. <em>Clim Dyn</em> (2021). https://doi.org/10.1007/s00382-021-05963-x</p>
Dataset - Generating reliable estimates of tropical cyclone induced coastal hazards along the Bay of Bengal for current and future climates using synthetic tracks
<p>This data is complementary to the paper by Leijnse et al. 2022 "Generating reliable estimates of tropical cyclone induced coastal hazards along the Bay of Bengal for current and future climates using synthetic tracks" <br> https://doi.org/10.5194/nhess-2021-181</p> <p>This data is made available in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE</p> <p>For questions about the data ask: tim.leijnse@deltares.nl</p> <p>For more information about the tool to generate the used synthetic tracks TCWiSE see: <a href="https://www.deltares.nl/en/software/tcwise/">https://www.deltares.nl/en/software/tcwise/</a></p> <p> </p>
Historical Tropical Cyclone Along-track Potential Intensity (and Derived Quantities) for Six Ocean Basins from Reanalyses
<p>Supporting derived data for Shields et al. (2020, GRL).</p> <p>Derived tropical cyclone potential intensities and associated variables across the North Atlantic (NA), Eastern North Pacific (EP), North Indian (NI), South Indian (SI), South Pacific (SP), and Western North Pacific (WP) ocean basins, from MERRA2, ERA-I, and MERRA2 with SSTs replaced by HadISSTs. NA/WP basins also have potential and observed intensities calculated with NCEP/NCAR and ERA-20C reanalyses over 1950-2016 and 1950-2010, respectively.</p> <p>All files are netcdf format, organized by basin, with suffixes on data variables to indicate reanalysis:</p> <ul> <li>"_m": MERRA2 (Gelaro et al. 2017)</li> <li>"_h": MERRA2-HadISSTs (Rayner et al. 2003)</li> <li>"_e": ERA-I (Dee et al. 2011)</li> <li>"_n": NCEP/NCAR (Kalnay et al. 2016)</li> <li>"_c": ERA-20C (Stickler et al. 2014)</li> </ul> <p>When using this data, please include the citation:</p> <blockquote> <p><strong>Shannon Shields, Allison Wing, and Daniel M. Gilford, 2020: A Global Analysis of Interannual Variability of Potential and Actual Tropical Cyclone Intensities. Geophys. Res. Lett.</strong></p> </blockquote> <p>Potential intensities calculated with the Bister and Emanuel (2002) algorithm (<strong>pcmin.m</strong>) by Kerry Emanuel (revised by Daniel Gilford, Gilford et al. 2019), available freely at: ftp://texmex.mit.edu/pub/emanuel/TCMAX</p> <p>MERRA2, ERA-I, and MERRA2 with SSTs replaced by HadISSTs calculations were performed by Daniel Gilford; NCEP/NCAR and ERA-20C calculations were performed by Dr. Suzana Camargo (many thanks!).</p> <p>Please direct any questions or comments to daniel[dot]gilford[at]rutgers[dot]edu.</p>
Cyclone tracks from 1901 to 2010 in dynamically downscaled ERA-20C reanalysis (COSMO-CLM+NEMO)
<p>The database contains two files: one with all cyclone trajectories from 1901 to 2010, and another one only with the so-called Vb-cyclones that propagate from the Mediterranean Sea north-eastward to Central Europe.</p> <p>We detected the cyclone trajectories with the method of Wernli and Schwierz (2006) and Sprenger et al. (2017) and classified all cyclone trajectories that crossed the 47°N latitude between 12°E and 22°E as Vb-cyclones following Hofstätter and Blöschl (2019). The cyclone tracking was based on mean sea level pressure data of dynamically downscaled ERA-20C reanalysis. The downscaling was performed over Europe [including MED-CORDEX (Somot et al. 2018) and EURO-CORDEX (Giorgi et al. 2009)] from 1901 to 2010 with an interactively coupled high-resolution atmosphere-ocean model (COSMO-CLM+NEMO) by Cristina Primo. More details on the data basis can be found in Primo et al. (2019) and Krug et al. (2020).</p> <p> </p> <p>Giorgi, F., Jones, C. & Asrar, G. Addressing climate information needs at the regional level: the CORDEX framework.<em> WMO Bulletin</em> <strong>58</strong>, 175–183 (2009).</p> <p>Hofstätter, M. & Blöschl, G. Vb Cyclones Synchronized With the Arctic-/North Atlantic Oscillation. <em>J. Geophys. Res. Atmos.</em> <strong>124</strong>, 3259–3278 (2019).</p> <p>Krug, A., Primo, C., Fischer, S., Schumann, A. & Ahrens, B. On the temporal variability of widespread rain-on-snow floods. <em>Meteorol. Zeitschrift</em> <strong>29</strong>, 147–163 (2020).</p> <p>Primo, C., Kelemen, F. D., Feldmann, H., Akhtar, N. & Ahrens, B. A regional atmosphere-ocean climate system model (CCLMv5.0clm7-NEMOv3.3-NEMOv3.6) over Europe including three marginal seas: on its stability and performance. <em>Geosci. Model Dev.</em> <strong>12</strong>, 5077–5095 (2019).</p> <p>Somot, S. <em>et al.</em> Editorial for the Med-CORDEX special issue. <em>Clim. Dyn.</em> <strong>51</strong>, 771–777 (2018). doi: 10.1007/s00382-018-4325-x</p> <p>Sprenger, M. <em>et al.</em> Global climatologies of Eulerian and Lagrangian flow features based on ERA-Interim. <em>Bull. Am. Meteorol. Soc.</em> (2017). doi:10.1175/BAMS-D-15-00299.1</p> <p>Wernli, H. & Schwierz, C. Surface Cyclones in the ERA-40 Dataset (1958–2001). Part I: Novel Identification Method and Global Climatology. <em>J. Atmos. Sci.</em> <strong>63</strong>, 2486–2507 (2006).</p>
North Atlantic synthetic tropical cyclone track, intensity, and rainfall dataset from RAFT
<p>The Risk Analysis Framework for Tropical Cyclones (RAFT)'s comprehensive and unified simulation of 40,000 synthetic North Atlantic tropical cyclone (TC) events are presented in this dataset. RAFT meticulously models these events based on large-scale environmental conditions, providing a valuable tool for in-depth TC impact analysis. The dataset encompasses detailed 6-hourly track information, along-track intensity metrics (including maximum wind speed and minimum pressure), the radius of maximum winds, and cumulative precipitation for each event.</p> <p>The primary dataset is encapsulated in a NetCDF4 file, "<a href="../records/10392725/files/RAFT.NA.v20231016.nc?download=1">RAFT.NA.v20231016.nc</a>", which contains a complete array of variables pertinent to the 40,000 synthetic TCs. These variables, detailed in Table 1 of the accompanying paper and summarized below, offer a comprehensive view of each TC event:</p> <ul> <li><strong>Basin ID</strong>: Identifies the basin (1 for North Atlantic)</li> <li><strong>Storm ID</strong>: Unique identification number for each TC, starting from 0</li> <li><strong>Year</strong>: Year of the environmental conditions used for modeling</li> <li><strong>Jday</strong>: Julian day of the year, ranging from 0 to 365</li> <li><strong>Longitude (lon)</strong>: Geographical longitude in degrees</li> <li><strong>Latitude (lat)</strong>: Geographical latitude in degrees</li> <li><strong>Maximum Wind Speed (vmax)</strong>: Measured in knots</li> <li><strong>Minimum Pressure (mslp)</strong>: Measured in hectopascals (hPa)</li> <li><strong>Radius of Maximum Wind (rmax)</strong>: Measured in nautical miles (nmi)</li> </ul> <p>Additionally, the dataset offers individualized accumulated rainfall data for each TC event, stored in NetCDF4 files named according to the convention "modeled_rainfall_ERA5_syn_{i}.h5", where "{i}" is the synthetic storm's ID. "ERA5" signifies the reanalysis input source, and "syn" indicates a synthetic track. This component of the dataset includes the following variables, all measured in total millimeters of precipitation:</p> <ul> <li><strong>Total Accumulated Rainfall (p_accum)</strong></li> <li><strong>Frictional Precipitation Component (p_accum_f)</strong></li> <li><strong>Topographic Precipitation Component (p_accum_h)</strong></li> <li><strong>Shear-related Precipitation Component (p_accum_s)</strong></li> <li><strong>Vortex Stretching Precipitation Component (p_accum_t)</strong></li> </ul> <p>The rainfall dataset is curated to focus on TC events within 600 km of the U.S. coast, reducing the number of rainfall events to 17,010 from the original 40,000, thereby enhancing its relevance and manageability. For user convenience, these events are compressed into grouped archives named "RAFT_accum_rainfall_{index}.tar.gz", where each "{index}" represents the index of the zipfile, containing up to 2,000 files for efficient data retrieval.</p> <p>The accumulated rainfall data is provided on a regular spatial grid, detailed in "<a href="../records/10392725/files/RAFT_rainfall_latlon_grid.h5?download=1">RAFT_rainfall_latlon_grid.h5</a>", which outlines the grid coordinates ('lat' and 'lon').</p> <p>For comprehensive usage guidelines and further insights into this dataset, users are encouraged to refer to the associated paper. This dataset is not only a significant resource for researchers and analysts in the field of meteorology but also serves as a pivotal tool for understanding and predicting the impacts of tropical cyclones.</p> <p> </p> <p><strong>How to cite:</strong></p> <p>Xu, W., Balaguru, K., Judi, D.R. <em>et al.</em> A North Atlantic synthetic tropical cyclone track, intensity, and rainfall dataset. <em>Sci Data</em> <strong>11</strong>, 130 (2024). https://doi.org/10.1038/s41597-024-02952-7</p>
Southern Hemisphere cyclones tracks 1979-2013
<p>This includes the filtered cyclone tracks which combined with ERA-Interim reanalysis data provide the basis for the results published in "Which extra-tropical cyclones contribute most to the transport of moisture in the Southern Hemisphere?" by Sinclair and Dacre in Journal of Geophysical Research - Atmospheres. ERA-Interim reanalysis data can be obtained freely from https://apps.ecmwf.int/datasets/</p> <p>The cyclone tracks were produced using TRACK. For the method and relevant references please see the paper. For details of the data files, see the README file (README_tracks).</p>
Extratropical cyclone tracks in Northern Europe for 2005-2018
<p>This dataset includes filtered extratropical cyclone tracks computed from ERA5 reanalysis data for the region of 0-60E, 50-75N. The tracks were produced using TRACK, ERA5 data is freely available from Copernicus Climate Data Store (<a href="https://cds-beta.climate.copernicus.eu/" target="_blank" rel="noopener noreferrer">https://cds-beta.climate.copernicus.eu/</a>). For details of the data files, see the README file. This track dataset is used in a paper "Classifying extratropical cyclones and their impact on Finland’s electricity grid: Insights from 92 damaging windstorms" by Láng-Ritter et al. (submitted to Natural Hazards and Earth System Sciences).</p>
Composite tracks of Mediterranean cyclones (1979-2020)
<p>The composite tracks of Mediterranean cyclones have been produced by combining an ensembles of 10 independent track datasets, applied to ERA5 reanalysis for the period 1979-2020. Composite tracks describe more intense and longer-lasting cyclones with more distinguished early, mature and decay stages than cyclones coming from individual tracking methods.</p> <p>Composite tracks are ranked according to their confidence level, i.e. the number of individual cyclone tracking methods that tracked the same cyclone. For each confidence level, we provide a separate file that includes a matrix of eight columns and a number of rows that varies among the datasets. Each row corresponds to a single track point, while the eight columns provide the following information:</p> <p>- Column 1: A cumulatively increasing index that functions as an identifier of unique cyclone tracks. For instance, all information about the track of cyclone #456 are found in all rows starting with the number 456.</p> <p>- Column 2: Longitude of track points</p> <p>- Column 3: Latitude of track points. It is important to note that geographical coordinates are</p> <p>produced using Step 2 of our method and thus may not match the exact location of grid points of ERA5.</p> <p>- Column 4: Year of occurrence</p> <p>- Column 5: Month of occurrence</p> <p>- Column 6: Day of occurrence</p> <p>- Column 7: Hour of occurrence</p> <p>- Column 8: Lowest MSLP value (in hPa) within a 2.5 degrees radius from the geographical coordinates in columns 2 and 3. These values are only meant to function as an approximate reference of intensity.</p>
ECMWF IFS potential salinity and temperature data interpolated to ALAMO float positions. Results of tropical cyclone tracking algorithm for TC Irma, Florence, Teddy and Ida simulations with ECMWF IFS.
<p>ECMWF IFS potential salinity and temperature data interpolated to ALAMO float positions. The data is from forecasts of tropical cyclone Irma, Florence, Teddy and Ida performed at horizontal atmosphere resolutions of TCo1279, TCo2559, TCo3999, TCo7999 and ocean resolutions of eORCA025 and eORCA025.</p> <p> </p> <p>Data also contains the results of tracking these tropical cyclones in the ECMWF IFS simulations. </p>
GEFS tropical cyclone track data by year and 5-day forecast data
<p>The df_master.pkl file contains the processed 5-day TC track forecast data. All remaining files contain the TC track data from ATCF (https://ftp.nhc.noaa.gov/atcf/archive/) by year (2008-2022).</p>
North Atlantic EXtratropical CYCLONE TRAcks and Lagrangian-Derived MOisture Uptake Dataset: ExCyclone-TRAMO (Part I)
<h3>Abstract:</h3> <p>This dataset focuses on <strong>extratropical cyclones (ETCs)</strong> over the <strong>North Atlantic Ocean (NATL)</strong> during the extended winter seasons, spanning from October to April, between 1985 and 2022. The relationship between moisture uptake and precipitation in various mesoscale ETC structures remains an active research area. The provision of moisture parameters through <strong>tracer dispersion models</strong> enhances our understanding of moisture dynamics, the behaviour of ETCs, and the associated meteorological fields.</p> <h3>Description:</h3> <p>The dataset was constructed through <strong>dynamic downscaling</strong> of ERA5 reanalysis data using the Weather Research and Forecasting (WRF) model, in conjunction with the <strong>Lagrangian dispersion model FELXPART-WRF</strong>. It consists of <strong>6-hourly </strong>time intervals with a horizontal resolution of <strong>0.18°</strong>. This database is completely described in <em>Coll-Hidalgo, P., Gimeno-Sotelo, L., Fernández-Alvarez, J.C. et al. North Atlantic Extratropical Cyclone Tracks and Lagrangian-Derived Moisture Uptake Dataset. Sci Data 11, 1258 (2024). <a href="https://doi.org/10.1038/s41597-024-04091-5" target="_blank" rel="noopener">https://doi.org/10.1038/s41597-024-04091-5</a></em></p> <p>The dataset includes:</p> <ul> <li>Detailed tracking of ETCs across the North Atlantic: <ul> <li>Date in year-month-day format</li> <li>hh (in UTC): Hour in Coordinated Universal Time</li> <li>latitude (degrees north): Latitude in degrees north</li> <li>longitude (degrees west): Longitude in degrees west</li> <li>MSLP (hPa): Mean sea level pressure in hectopascals (hPa)</li> <li>Radius (km): Cyclone radius in kilometres (km)</li> <li>Last closed isobar (hPa): Pressure at the last closed isobar in hectopascals (hPa)</li> <li>Low-level thermal wind parameter (VTL)</li> <li>High-level thermal wind parameter (VTU)</li> <li>The thermal asymmetry parameter (B)</li> </ul> </li> </ul> <ul> <li>Two-Dimensional Masks Shaping ETCs: <ul> <li>Radius</li> <li>Warm Conveyor Belt (WCB) footprint Related Areas</li> <li>A theoretical boundary encompassing a broader extent of the ETC circulation within a spiral shape </li> </ul> </li> </ul> <ul> <li>Cyclone Moisture Uptake-Related Variables by ETCs life timesteps: <ul> <li>Total moisture uptake</li> <li>Discrete Moisture Uptake (10-Day Backward)</li> <li>Moisture uptake by layers from the surface to 100 hPa.</li> </ul> </li> </ul> <h3>Dataset Repository Information</h3> <p>This repository contains the dataset for the years 1985-1999. For users interested in datasets from subsequent periods, please refer to the following links:</p> <p>Years 2000-2014:<a href="https://zenodo.org/records/13844450"> Access the dataset here</a><br>Years 2015-2022: <a href="https://zenodo.org/records/13847453" target="_blank" rel="noopener">Access the dataset here</a></p> <p>A <a href="https://github.com/ECMOISTDATABASE/North-Atlantic-Extratropical-Cyclones-database.git">GitHub repository</a> is available, providing example code that demonstrates how to use and handle the dataset effectively. </p>
North Atlantic EXtratropical CYCLONE TRAcks and Lagrangian-Derived MOisture Uptake Dataset: ExCyclone-TRAMO (Part II)
<h3>Abstract:</h3> <p>This dataset focuses on <strong>extratropical cyclones (ETCs)</strong> over the <strong>North Atlantic Ocean (NATL)</strong> during the extended winter seasons, spanning from October to April, between 1985 and 2022. The relationship between moisture uptake and precipitation in various mesoscale ETC structures remains an active research area. The provision of moisture parameters through <strong>tracer dispersion models</strong> enhances our understanding of moisture dynamics, the behaviour of ETCs, and the associated meteorological fields.</p> <h3>Description:</h3> <p>The dataset was constructed through <strong>dynamic downscaling</strong> of ERA5 reanalysis data using the Weather Research and Forecasting (WRF) model, in conjunction with the <strong>Lagrangian dispersion model FELXPART-WRF</strong>. It consists of <strong>6-hourly </strong>time intervals with a horizontal resolution of <strong>0.18°</strong>. This database is completely described in<em> Coll-Hidalgo, P., Gimeno-Sotelo, L., Fernández-Alvarez, J.C. et al. North Atlantic Extratropical Cyclone Tracks and Lagrangian-Derived Moisture Uptake Dataset. Sci Data 11, 1258 (2024). <a href="https://doi.org/10.1038/s41597-024-04091-5" target="_blank" rel="noopener">https://doi.org/10.1038/s41597-024-04091-5</a></em></p> <p>The dataset includes:</p> <ul> <li>Detailed tracking of ETCs across the North Atlantic: <ul> <li>Date in year-month-day format</li> <li>hh (in UTC): Hour in Coordinated Universal Time</li> <li>latitude (degrees north): Latitude in degrees north</li> <li>longitude (degrees west): Longitude in degrees west</li> <li>MSLP (hPa): Mean sea level pressure in hectopascals (hPa)</li> <li>Radius (km): Cyclone radius in kilometres (km)</li> <li>Last closed isobar (hPa): Pressure at the last closed isobar in hectopascals (hPa)</li> <li>Low-level thermal wind parameter (VTL)</li> <li>High-level thermal wind parameter (VTU)</li> <li>The thermal asymmetry parameter (B)</li> </ul> </li> </ul> <ul> <li>Two-Dimensional Masks Shaping ETCs: <ul> <li>Radius</li> <li>Warm Conveyor Belt (WCB) footprint Related Areas</li> <li>A theoretical boundary encompassing a broader extent of the ETC circulation within a spiral shape </li> </ul> </li> </ul> <ul> <li>Cyclone Moisture Uptake-Related Variables by ETCs life timesteps: <ul> <li>Total moisture uptake</li> <li>Discrete Moisture Uptake (10-Day Backward)</li> <li>Moisture uptake by layers from the surface to 100 hPa.</li> </ul> </li> </ul> <h3>Dataset Repository Information</h3> <p>This repository contains the dataset for the years 2000-2016. For users interested in datasets from subsequent periods, please refer to the following links:</p> <p>Years 1985-1999: <a href="https://zenodo.org/records/13844378">Access the dataset here</a><br>Years 2015-2022: <a href="https://zenodo.org/records/13847453" target="_blank" rel="noopener">Access the dataset here</a></p> <p>A <a href="https://github.com/ECMOISTDATABASE/North-Atlantic-Extratropical-Cyclones-database.git">GitHub repository</a> is available, providing example code that demonstrates how to use and handle the dataset effectively. </p>
TempestExtremes Tracking of Extratropical Cyclones in CESM2-LE and CESM2-SF
<p>Individual raw extratropical cyclone trajectories created by TempestExtremes as part of <strong><a href="https://doi.org/10.1175/JCLI-D-23-0455.1">Aerosol-Induced Changes in Atmospheric and Oceanic Heat Transports in the CESM2 Large Ensemble</a></strong> by Needham et. al (2024).</p>
Data Used for the Publication "Use of Threshold Parameter Variation for Tropical Cyclone Tracking"
<p>Data used to produce the figures in "Use of Threshold Parameter Variation for Tropical Cyclone Tracking," as submitted to GMD.</p>
Collection of The tropical cyclones best-track data (CMABSTdata) and the daily surface climatological stations dataset for China (V3.0) from CMA
<p>This dataset contains the tropical cyclones best-track data from the China Meteorological Administration (CMABSTdata)<strong>[1] </strong>and the daily surface climatological stations dataset for China (V3.0)<strong>[2] </strong>from 1979-2019 from China Meteorological Administration.</p> <p>[1] Y<span>ing, M., Zhang, W., Yu, H., Lu, X., Feng, J., Fan, Y., . . . Chen, D. (2014). An overview of the China Meteorological Administration tropical cyclone database. <em>Journal of Atmospheric and Oceanic Technology, 31</em>(2), 287-301. </span></p> <p>[2]<span>(CMA, http://data.cma.cn)</span></p>
North Atlantic EXtratropical CYCLONE TRAcks and Lagrangian-Derived MOisture Uptake Dataset: ExCyclone-TRAMO (Part III)
<h3>Abstract:</h3> <p>This dataset focuses on <strong>extratropical cyclones (ETCs)</strong> over the <strong>North Atlantic Ocean (NATL)</strong> during the extended winter seasons, spanning from October to April, between 1985 and 2022. The relationship between moisture uptake and precipitation in various mesoscale ETC structures remains an active research area. The provision of moisture parameters through <strong>tracer dispersion models</strong> enhances our understanding of moisture dynamics, the behaviour of ETCs, and the associated meteorological fields.</p> <h3>Description:</h3> <p>The dataset was constructed through <strong>dynamic downscaling</strong> of ERA5 reanalysis data using the Weather Research and Forecasting (WRF) model, in conjunction with the <strong>Lagrangian dispersion model FELXPART-WRF</strong>. It consists of <strong>6-hourly </strong>time intervals with a horizontal resolution of <strong>0.18°</strong>. This database is completely described in <em>Coll-Hidalgo, P., Gimeno-Sotelo, L., Fernández-Alvarez, J.C. et al. North Atlantic Extratropical Cyclone Tracks and Lagrangian-Derived Moisture Uptake Dataset. Sci Data 11, 1258 (2024). <a href="https://doi.org/10.1038/s41597-024-04091-5" target="_blank" rel="noopener">https://doi.org/10.1038/s41597-024-04091-5</a></em></p> <p>The dataset includes:</p> <ul> <li>Detailed tracking of ETCs across the North Atlantic: <ul> <li>Date in year-month-day format</li> <li>hh (in UTC): Hour in Coordinated Universal Time</li> <li>latitude (degrees north): Latitude in degrees north</li> <li>longitude (degrees west): Longitude in degrees west</li> <li>MSLP (hPa): Mean sea level pressure in hectopascals (hPa)</li> <li>Radius (km): Cyclone radius in kilometres (km)</li> <li>Last closed isobar (hPa): Pressure at the last closed isobar in hectopascals (hPa)</li> <li>Low-level thermal wind parameter (VTL)</li> <li>High-level thermal wind parameter (VTU)</li> <li>The thermal asymmetry parameter (B)</li> </ul> </li> </ul> <ul> <li>Two-Dimensional Masks Shaping ETCs: <ul> <li>Radius</li> <li>Warm Conveyor Belt (WCB) footprint Related Areas</li> <li>A theoretical boundary encompassing a broader extent of the ETC circulation within a spiral shape </li> </ul> </li> </ul> <ul> <li>Cyclone Moisture Uptake-Related Variables by ETCs life timesteps: <ul> <li>Total moisture uptake</li> <li>Discrete Moisture Uptake (10-Day Backward)</li> <li>Moisture uptake by layers from the surface to 100 hPa.</li> </ul> </li> </ul> <h3>Dataset Repository Information</h3> <p>This repository contains the dataset for the years 1985-1999. For users interested in datasets from subsequent periods, please refer to the following links:</p> <p>Years 1985-1999: <a href="https://zenodo.org/records/13844378" target="_blank" rel="noopener">Access the dataset here</a><br>Years 2000-2014: <a href="https://zenodo.org/records/13844450" target="_blank" rel="noopener">Access the dataset here</a></p> <p>A <a href="https://github.com/ECMOISTDATABASE/North-Atlantic-Extratropical-Cyclones-database.git">GitHub repository</a> is available, providing example code that demonstrates how to use and handle the dataset effectively. </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.