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8 results for “storm tracking”
Hailstorm Identification and Tracking over Brazil (HIToB): A Storm Polygons Database From GOES ABI Data from 2018 to 2023
<p>This dataset comprises a detailed record of deep convective storm events tracked across South America from 2018 to 2023, utilizing brightness temperature (BT) data from Channel 13 of the GOES-16 Advanced Baseline Imager (ABI) and the TATHU (Tracking and Analysis of Thunderstorms) toolset, that caused hail-fall over Brazil. The database includes storm identification, tracking details, and associated meteorological variables such as brightness temperature statistics inside the storm polygon at each scene and event classifications (e.g., spontaneous generation, continuity, split, merge). The storms were detected and tracked based on brightness temperature threshold of 235 K, with tracking data refined by a 10% overlap criterion between sequential scenes. The tracked convective systems were filtered for intersections in space and time with verified hail reports from Prevots group. The whole family of storm polygons that matched the reports were exported to this database with SpatiaLite enabled dtaa format, in order to make it easier for spatial data queries and analysis. Some example queries using Python library SQLAlchemy are displayed in the code repository as well as the process of creating the tables in the database.<br><br>The data is organized in three tables: "storms", "storm_events" and "intersections". In table "storms" are the records of storm families identifier. Each identifier represents a sequence of storm polygons tracked over subsequent satellite scenes. Table "storm_events" holds the evolution of the storm's geometry through its lifecycle, including BT's mean, minimum and standard deviation inside the storm polygon; as well as storm's pixel count (i.e. storm size). Intersections table stores every instance where a storm event polygon intersects with a hailstorm report's buffer at the corresponding time. In total, there are 9893 intersections belonging to 2172 unique storm families.</p>
MCIT storm tracks with updraft radar data for large hail cases in the United States (2013 - 2023)
<p>Storm tracking data from 114 hail days in the United States between 2013 and 2023. Cases were selected based on the availability of abundant Storm Prediction Center (SPC) hail reports (either at least 20 reports of hail > 1 cm or five reports > 10 cm) in a range between 20 and 90 km from a NEXRAD radar site. Only cases in a geographic area from 28-48°N and 105-90°E, roughly corresponding to the U.S. Great Plains, were considered. Cells are quality filtered based on these criteria: (1) Cell center within 120 km of the radar range, and (2) continuous tracking for at least 6 timesteps (approx. 30 minutes, depending on radar scan rate). SPC hail data is matched to tracking timesteps. We used this data to train a Random Forest model for hail size nowcasting.</p> <p>Further metadata can be requested from the authors.</p>
Above-anvil Cirrus Plume Producing Storm Tracks
<p>Two separate CSV files containing all warm and cold above-anvil cirrus plume-producing storm tracks used in Murillo and Homeyer (under review). These files contain the hourly storm number, binary above-anvil cirrus plume flag, date and time in UTC, longitude, and latitude positions of the overshooting top associated with the above-anvil cirrus plume-producing storm. The first and second rows contain the variable names and units, respectively, with the remaining rows containing the variable values.</p> <p> </p>
Data for "Revisiting the reanalysis-model discrepancy in Southern Hemisphere winter storm track trends"
<p>The dataset supporting the conclusion of the submitted paper is uploaded here.</p> <p>The data are labeled after each figure. The npz files include data required to reproduce our results in python arrays.</p>
Extended Storm Track Files for the GridRad-Severe Dataset
<p>Extended versions of the storm track files available from the GridRad-Severe dataset (https://doi.org/10.5065/2B46-1A97). Files are grouped in .tar format for each year. Each storm track file is a copy of that included in the original archive, with select radar variables, storm mode classifications, and auxiliary information extracted along each storm's path and appended to the track file. The resulting data can be used to aid in objective supercell storm identification and other typing efforts. </p>
PMCF Investigation of MODULITH® SLX-F2 With StorM-Track in Patients With Kidney Stones
ClinicalTrials.gov study NCT07272720. IPD Sharing: NO. Countries: 1. Publications: 0.
Atlas of Extratropical Storm Tracks
Plotted images and a dataset for getting underlying coordinate data of extratropical storms.
Atlas of Extratropical Storm Tracks
Plotted images and a dataset for getting underlying coordinate data of extratropical storms.
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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.