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256 results for “Cyclone”
Extreme Weather Event Real-time Attribution Machine (EWERAM) forecasts for Cyclone Gabrielle
<p>These files contain the hourly precipitation, wind, humidity, and pressure data as well as the land-sea mask, orography, and regional council data supporting the investigation into the human role in Cyclone Gabrielle performed by the EWERAM (Extreme Weather Event Real-time Attribution Machine) consortium. The EWERAM experiment design is outline by Tradowsky and co-authors (2023, 10.1088/2752-5295/acf4b4).</p> <p>Directory and data format follows the conventions of the Climate of the 20th Century Plus Detection and Attribution (C20C+ D&A) Project. Details are provided at https://portal.nersc.gov/c20c/experiment.html and in Stone and co-authors (2019, 10.1016/j.wace.2019.100206).</p>
A possible mechanism for the stratospheric influence on tropical cyclone intensity: Downward control by gravity waves
Open the record for dataset details and reuse information.
Characteristics and Representation of Subgrid Convective Flux in Tropical Cyclone Convection System at Convection-Permitting Resolution
<p><span>Data and analysis scripts for figures of Journal article (Characteristics and Representation of Subgrid Convective Flux in Tropical Cyclone Convection System at Convection-Permitting Resolution)</span></p>
Dataset for Exploring Western North Pacific Tropical Cyclone Activity in the High-Resolution Community Atmosphere Model
<p>This dataset contains results from high-resolution, tropical cyclone-permitting experiments using Community Atmosphere Model version 5.</p>
Dataset of Tropical Cyclone IR-to-Rainfall Prediction (TCIRRP)
<p>Dataset of Tropical Cyclone IR-to-Rainfall Prediction (TCIRRP)</p>
The datasets used in the manuscript named "Fidelity of Global Tropical Cyclone Activity in a High-Resolution Reanalysis Dataset CRA40 in Comparison with Multiple Other Reanalysis Datasets"
<p>The datasets after tracking the TC events in five reanalyses: ERA5, JRA55, CFSR, MERRA2, CRA40. </p>
The role of tropical cyclone on Changjiang River subaqueous delta geomorphology: a numerical investigation of Tropical Cyclone Danas (2019)
<p>ecs_mesh: Model domain used for numerical simulation in Matlab data format.</p> <p>Variable description of ecs_mesh.mat:</p> <p>nodex/nodey: Longitude/Latitude of the vertices of the triangles</p> <p>cellx/celly: Longitude/Latitude of the faces of the triangles</p> <p>nodeh: Bathymetry of the vertices</p> <p>nv: Vertices composition of the triangles</p> <p> </p> <p>model_result_baroclinic: Used FVCOM model output from 2019-07-01 to 2019-08-01 in Matlab data format.</p> <p>Variable description of model_result_baroclinic.mat:</p> <p>SSC: Total suspended sediment concentration of all sediment classes, units: g/L</p> <p>deposition_flux: Deposition flux of suspended sediment, units: kg/m^2/h</p> <p>divergence_sed_flux: depth-integrated divergence of sediment flux, units: kg/m^2/h</p> <p>erosion_flux: Erosion flux of sea-bed surface sediment, units: kg/m^2/h</p> <p>salinity: sea water salinity, units: psu</p> <p>taub: Total bed stress, units: Pa</p> <p>time_model: Time of the results, time zone: LST</p> <p>u: Eastward water velocity, units: m/s</p> <p>v: Northward water velocity, units: m/s</p> <p>zeta: Water surface elevation</p> <p> </p> <p>model_verify: Bed elevation data from ADV, wave parameters from buoy, and bottom suspended sediment concentration from OBS in Matlab data format.</p> <p>Variable description of model_verify.mat:</p> <p>ADV_BEC_xx: Bed Elevation measurement from ADV at Station xx, units: mm</p> <p>ADV_time_xx: Measurement time of bed elevation of ADV at Station xx, time zone: LST</p> <p>Buoy_hs_S1: Significant wave height measurement from Buoy at Station S1, units: m</p> <p>Buoy_time_S1: Measurement time of Buoy at Station S1, time zone: LST</p> <p>Buoy_tpeak_S1: Peak wave period measurement from Buoy at Station S1, units: s</p> <p>OBS_SSC_S1: Suspended sediment concentration measurement from OBS at Station S1, units: g/L</p> <p>OBS_time_S1: Measurement time of OBS at Station S1, time zone: LST</p> <p>tauc_mtke_S1: In-situ bottom shear stress calculated from turbulence kinetic energy method, units: Pa</p> <p>time_mtke_S1: Time of calculated bottom shear stress, time zone: LST</p> <p>time_wind: Time of surface wind at S1 from CFSv2 model from 2019-06-01 to 2019-08-01 time zone: LST</p> <p>u_wind: Eastward velocity of surface wind at S1 from CFSv2 model, units: m/s</p> <p>v_wind: Northward velocity of surface wind at S1 from CFSv2 model, units: m/s</p>
Modulation of Cyclones with Tropical and Extratropical Origins by Mesoscale SSTs in the Kuroshio Extension Region
<p>Datasets for <strong>Modulation of Cyclones with T</strong><strong>ropical and Extratropical </strong><strong>Origins </strong><strong>by Mesoscale SSTs in the Kuroshio Extension Region.</strong></p>
E3SM simulations to assess the projected changes in tropical cyclone activity during active and inactive North Atlantic hurricane seasons
<p>This dataset compiles the results of high resolutions E3SM experiments performed to assess the projected changes in the North Atlantic tropical cyclone activity in a warming climate. The results of these experiments are currently in revision under the title "<strong>Future Changes in Active and Inactive Atlantic Hurricane Seasons in the Energy Exascale Earth System Model</strong>" </p> <p>The file tracks_teca.zip compiles the TC tracks detected in the experiments, using the Toolkit for Extreme Climate Analysis (TECA), available at https://teca.readthedocs.io/en/latest/applications.html#teca-tc-stats</p> <p>GPI_LaNinaAMMp.zip and GPI_ElNinoAMMn.zip includes the genesis potential index and its components for each of the experiments.</p> <p>For further information, please contact the author at anasena@iastate.edu</p> <p>Acknowledgements:</p> <p><strong>This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231. E3SM simulations were performed using BER Earth System Modeling program’s Compy computing cluster located at Pacific Northwest National Laboratory. PNNL is operated by Battelle for the U.S. Department of Energy under Contract DE-AC05-76RL01830. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research (BER), Earth and Environmental Systems Modeling (EESM) Program, under Early Career Research Program Award Number DE‐SC0021109.</strong></p>
The oscillatory motion of Jupiter's polar cyclones results from vorticity dynamics - Movies S1, S2
<p>Movie S1: An animation of the observed trajectories of the south polar cyclones, as illustrated in Fig. 2a, along the 45-months of observations. The blue arrows represent the estimated net forces on the cyclones, as presented in Fig. 4.</p> <p>Movie S2: An animation of the simulated trajectories of the south polar cyclones, as illustrated in Fig. 5a, along 45-months.<br> The blue arrows represent the net forces on the cyclones.</p>
Dataset used in Sea surface wind structure observed by wave gliders during tropical cyclones
<p>Sea surface wind vector observed by three wave gliders deployed in the Western Pacific Ocean. The observation level is 1.2 meter.</p>
(NEW) Supporting Dataset for 'Role of convection in upper ocean mixing during a tropical cyclone'.
<p>Contains the results from the LES and PWP runs</p>
Analysed data set for rapidly intensifying tropical cyclones in the western North Pacific
<p>These are the extracted data set from (1) GPM IMERG; (2) Himawati-8 brightness temperature in infrared bands; (3) Himawari-8 cloud properties for the rapidly intensifying tropical cyclones in the western North Pacific.</p>
Dataset for the manuscript, "Submesoscale Nitrate Upwelling by Cyclonic Eddies in the Upstream Kuroshio Current"
<p>Data and codes for the manuscript, entitled with "Submesoscale Nitrate Upwelling by Cyclonic Eddies in the Upstream Kuroshio Current" by Gloria Silvana Duran Gomez and Takeyoshi Nagai</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>
Spatio-temporal Characterization of Coherent Structures in Simulated Tropical Cyclone Boundary Layer
<p>Jupyter-notebooks to read and analyze processed outputs from three Tropical Cyclone (TC) simulations (CONTROL, LOWOR, and NONPARAM) and plot figures. The datasets are large and can be made available by the authors upon request.</p>
NEMO/SAS-SI3 setup, forcing and output for SI3-BBM and SI3-default idealized "cyclone" simulations (Brodeau et al., 2024, final version)
<p>Model data and setup/forcing/configuration files for the "Cyclone" test-case experiments (Mehlmann et al.,2021) discussed and analyzed in the following paper:</p> <p>Implementation of a brittle sea-ice rheology in an Eulerian, finite-difference, C-grid modeling framework: <br>Impact on the simulated deformation of sea-ice in the Arctic</p> <p>by Laurent Brodeau, Pierre Rampal, Einar Ólason and Véronique Dansereau, in Geoscientific Model Development (GMD), 2024.</p>
Supporting files for "Towards understanding the differences between mesoscale and large-eddy simulations of tropical cyclones"
<p>This deposit includes the time- and azimuth-averaged velocity fields for the five idealized tropical cyclones described in "Towards understanding the differences between mesoscale and large-eddy simulations of tropical cyclones". The horizontal wind speed magnitude, radial velocity, tangential velocity, vertical velocity, and potential temperature fields are included for the mesoscale (d01) and LES (d02) domains.</p>
Treasure Bowl: PM2.5 Aggregation in the Eye of a Tropical Cyclone
<p>The measured data for the manuscript "Treasure Bowl: PM2.5 Aggregation in the Eye of a Tropical Cyclone"</p>
Data for "The 20-year highest tropical cyclone-generated waves associated with the maximum energy of seismic noises" (Subset 4)
<p>This is dataset of ocean wave simulations used in the paper "The 20-year highest tropical cyclone-generated waves associated with the maximum energy of seismic noises" by Shimura et al. (submitted).</p> <p>The dataset contains </p> <ul> <li>significant wave height (Subset 1),</li> <li>wave induced surface pressure (Subset 2)</li> <li>long-period componet of wave heights (Subset 3)</li> <li>long-period component of surface pressure (Subset 4)</li> </ul> <p>during 2004 from 2023 summer. </p>
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International Brain Laboratory public data
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OpenNeuro
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