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182 results for “Tropical Cyclones”
Figure 4 in Tropical cyclones and reproductive ecology of Crocodylus acutus Cuvier, 1807 (Reptilia: Crocodilia: Crocodylidae) on a Caribbean atoll in Mexico
Figure 4. Fluctuation of temperature in (A) three nests of 2007 and (B) three nests of 2008 of American crocodiles in Banco Chinchorro. Note: Data-logger in Nest 6 ceased functioning on 1 June 2008 during tropical storm Arthur.
Figure 3 in Tropical cyclones and reproductive ecology of Crocodylus acutus Cuvier, 1807 (Reptilia: Crocodilia: Crocodylidae) on a Caribbean atoll in Mexico
Figure 3. Relationship between gap fraction and incident solar radiation intensity (ISRI) for 34 sites in Cayo Centro, Banco Chinchorro, showing 9 successful nests (black squares); 7 unsuccessful nests (grey squares); and 18 control sites (white squares).
Figure 2 in Tropical cyclones and reproductive ecology of Crocodylus acutus Cuvier, 1807 (Reptilia: Crocodilia: Crocodylidae) on a Caribbean atoll in Mexico
Figure 2. Climatic diagram from the meteorological station of Mahahual, with periods of courtship and mating (thin line), laying (dashed line), and hatching (thick line) of American crocodiles in Banco Chinchorro.
Figure 1 in Tropical cyclones and reproductive ecology of Crocodylus acutus Cuvier, 1807 (Reptilia: Crocodilia: Crocodylidae) on a Caribbean atoll in Mexico
Figure 1. Localisation map of Banco Chinchorro biosphere reserve and of Cayo Centro, with nesting areas and nests location.
Figure 5 in Tropical cyclones and reproductive ecology of Crocodylus acutus Cuvier, 1807 (Reptilia: Crocodilia: Crocodylidae) on a Caribbean atoll in Mexico
Figure 5. Monthly mean direct solar radiation intensity (DSRI) at nine nesting sites of American crocodiles in Banco Chinchorro, with incubation period indicated.
Building pseudo proxy paleotempestology networks using synthetic North Atlantic tropical cyclones
<p>This release contains the past millennium synthetic storm datasets (MPI-ESM; CESM-LME) and scripts needed to develop pseudo paleohurricane compilations used in Wallace et al. (2021). Version 2 includes updated storm datasets that are re-calibrated to have long term mean frequency that matches the satellite era tropical cyclone frequency. The site properties (resolution, radius) are also updated. </p>
MATLAB scripts for reproducing figures in "Atlantic Tropical Cyclones Downscaled from Climate Reanalyses Show Increasing Activity Through the Late 19th and 20th Centuries"
<p>A set of MATLAB scripts that contain the data for all 4 figures of "<strong>Atlantic Tropical Cyclones Downscaled from Climate Reanalyses Show Increasing Activity Through the Late 19<sup>th</sup> and 20<sup>th</sup> Centuries" </strong> and allows the user to plot these data. Please read the very short ReadMe file before using the scripts. </p>
Statistics of the Subgrid Cloud of an Idealized Tropical Cyclone at Convection-Permitting Resolution
<p>Data and analysis scripts for figures of Journal article (Statistics of the Subgrid Cloud of an Idealized Tropical Cyclone at Convection-Permitting Resolution)</p>
Tropical Cyclone Evaluation Methodology Dataset
<p>This dataset includes Automated Tropical Cyclone Forecast (ATCF) format ASCII files. These data are a subset of files from the Hurricane Forecast Improvement project (HFIP) Stream 1.5 evaluation covering three years of retrospective forecasts from 2010-2012. The best track analysis (b-decks), operational baselines (a-deck), and experimental Stream1.5 model output included can be used as example data to perform tropical cyclone model forecast evaluations, following Brown et al, 2023: User-responsive diagnostic verification methods for evaluating tropical cyclone track and intensity forecasts.</p>
Azimuthally averaged tangential wind and radial wind for 3D WRF tropical cyclone simulations
<p>MAT-file </p> <p>setup number 1 to 9: V20B0.75R75, V20B0.75R100, V20B0.75R125; V20B1.0R75, V20B1.0R100, V20B1.0R125; V30B0.75R75, V30B0.75R100, V30B0.75R125</p> <p>time: hourly output</p> <p>iradius: radial grids, radius=(iradius-1)*2 km</p> <p>Vt(setup, time, iradius): tangential wind calculated from 10-m wind</p> <p>Vr(setup, time, iradius): radial wind calculated from 10-m wind</p> <p>M(setup, time, iradius): absolute angular momentum calculated using M=Vt*r+1/2*f*r^2</p> <p>nt(setup): maximum time step, 1 h interval</p> <p>nr(setup): maximum grid for radius, starting from center (0km) with 2 km interval</p> <p>Vmax(setup, time): maximum 10-m tangential wind</p> <p>RMW(setup, time): radius of maximum 10-m tangential wind</p> <p>MRMW(setup, time): absolute angular momentum at RMW</p> <p>SL(setup, time): M*(r*) slope calculated using best linear fit</p> <p>RIstart(setup): RI onset time</p> <p>RIend(setup): RI end time</p>
Precipitation Microphysics in Tropical Cyclones: A Global Perspective Using the NASA Global Precipitation Measurement Mission Dual-Frequency Precipitation Radar
<p>This dataset includes all files (in .npy format) that was used to plot distributions of the slopes of vertical profiles of reflectivity in the liquid phase, in the ice phase, and echo top heights using the NASA Global Precipitation Measurement mission Dual-Frequency Precipitation Radar. </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>
Assessing the improvement of Tropical Cyclone representation in the IPSL model with increasing resolution -- Data
<p>This folder contains the following data, used in the artcle "Assessing the improvement of Tropical Cyclone representation in the IPSL model with increasing resolution":</p> <p>* TC tracks in all the simulations, before and after the STJ filtering</p> <p>* Composite NetCDFs</p> <p>* Large scale variables used in the GPI, and the GPI itself, in ICO-VHR and ERA5</p>
Economic impacts of tropical cyclone-induced multiple hazards in China
<p>The data and codes will be deposited in a repository that is appropriate for my scientific domain and that it is interoperable and reusable.</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>
Data for "Using Convolutional Neural Network to Emulate Seasonal Tropical Cyclone Activity"
<p>The trained 600-member ensemble convolutional neural networks (CNNs) for seasonal tropical cyclone (TC) activity to allow future studies. Please refer Fu et al. (2023; <em>Using Convolutional Neural Network to Emulate Seasonal Tropical Cyclone Activity</em>) for more details.</p>
Data from: Impacts and recovery from Severe Tropical Cyclone Yasi on the Great Barrier Reef
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Data from: Globally consistent impact of tropical cyclones on the structure of tropical and subtropical forests
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Moat Areas Tend to Form in Tropical Cyclones with Broader Wind Fields
<p>azimuthal-mean data for CNTL and SMALL</p>
Global eddy-induced variation in the intensities of tropical cyclones
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International Brain Laboratory public data
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OpenNeuro
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