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510 results for “STORM”
Geomagnetic storm data
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Precipitation-induced dissipation limits storm kinetic energy in a warming climate
<p>This zip file contains data and codes to reproduce the figures of a manuscript on precipitation-induced dissipation in X-SHiELD.</p> <p>Contact mbolot@princeton.edu for questions.</p>
Magnetometer and Ionospheric Observations from Indian Sector During 10-11 May 2024 Storm
<p>This data repository includes magnetometer observations from 12 ground stations in the Indian sector. The repository also consist of <span>VLF receiver and Ionosonde data operated by Indian Institute of Geomagnetism. </span></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>
Dataset for Investigation of Thermospheric Response to Geomagnetic Storms Using GITM-OVATION Prime and -FTA model With Comparison to GOLD and SABER Observations
<div> <div> <div> <div> <h4>Dataset Overview</h4> <p>This dataset accompanies the research paper titled " Investigation of Thermospheric Response to Geomagnetic Storms Using GITM-OVATION Prime and -FTA model With Comparison to GOLD and SABER Observations" and contains all the necessary data and scripts required to reproduce the results presented in the paper. The dataset is organized by figure numbers, corresponding directly to the figures in the paper, making it straightforward to locate and generate the specific results.</p> <h4>Structure of the Dataset</h4> <p>The dataset is divided into multiple folders, each named according to the figure numbers in the paper (e.g., Figure_1, Figure_2, etc.). Inside each of these folders, you will find:</p> <ul> <li><strong>Data Files</strong>: These files contain the raw and processed data used to generate the figures.</li> <li><strong>Scripts</strong>: MATLAB scripts (e.g., Figure_2*.m) that process the data and generate the respective figures.</li> <li><strong>Readme.txt</strong>: A text file providing detailed instructions on how to use the data and scripts, including any dependencies or specific steps required.</li> </ul> <h4>Instructions for Reproducing Figures</h4> <ol> <li> <p><strong>Download the Dataset</strong>:</p> <ul> <li>Download the entire dataset or specific figure folders as needed.</li> </ul> </li> <li> <p><strong>Prepare Your Environment</strong>:</p> <ul> <li>Ensure that MATLAB is installed on your local machine.</li> <li>Verify that all necessary MATLAB toolboxes and dependencies are installed, as specified in the Readme.txt files within each figure folder.</li> </ul> </li> <li> <p><strong>Generate Figures</strong>:</p> <ul> <li>Navigate to the directory where the dataset is saved.</li> <li>Open MATLAB and set the current directory to the folder containing the downloaded data and scripts.</li> <li>Run the script corresponding to the figure you wish to generate. For example, to generate Figure 1, navigate to the Figure_1 folder and run the <code>Figure_1*.m.</code></li> </ul> </li> <li> <p><strong>Refer to Readme.txt for Further Details</strong>:</p> <ul> <li>Each figure folder contains a Readme.txt file with additional details, including specific instructions, data descriptions, and any figure-specific requirements or notes.</li> </ul> </li> </ol> <p>By following these steps, you can successfully reproduce the figures and results presented in the paper "Paper 1 vs Paper 2" using the provided dataset and scripts. If you encounter any issues or have questions, refer to the Readme.txt files or contact the authors for further assistance.</p> </div> </div> </div> </div>
DYAMOND-II Model Outputs for "Boundary-Layer-Coupled and Decoupled Clouds in Global Storm-Resolving Models: Comparisons with the ARM Observations"
<p>This dataset contains outputs from the DYAMOND Phase-II simulations, focusing on Global Storm-Resolving Models (GSRMs) at various Atmospheric Radiation Measurement (ARM) sites. The dataset supports the analysis presented in the manuscript "Boundary-Layer-Coupled and Decoupled Clouds in Global Storm-Resolving Models: Comparisons with the ARM Observations."</p> <p>Included are high-resolution model outputs from nine GSRMs, detailing simulations of atmospheric processes at six ARM sites, including variables of clouds, temperature, humidity, wind, and surface fluxes. This dataset allows for a direct comparison between GSRM simulations and ARM field observations, facilitating the evaluation of PBL-coupled and decoupled clouds. For further inquiries or assistance regarding the dataset, please contact the corresponding author at su10@llnl.gov.</p>
The high latitude ionospheric response to the major May 2024 geomagnetic storm: A synoptic view (Datasets)
<p>Manually scaled ionosonde, ionosonde drift, and ISR datasets for the paper. </p>
Quantifying the large-scale electrification equilibrium effects in dust storms using field observations at Qingtu Lake Observatory
<p>The measured divergence of the electric field, PM<sub>10</sub> concentration, ambient temperature and relative humidity time series during dust storms (at Qingtu Lake observatory) are given in these datasets.</p>
Roles of Wind-Driven Currents and Surface Waves in Sediment Resuspension and Transport During a Tropical Storm
<p>Roles of Wind-Driven Currents and Surface Waves in Sediment Resuspension and Transport During a Tropical Storm</p>
Video: The asymmetric geospace as displayed during the geomagnetic storm on August 17, 2001
<p>Measurements from multiple instruments showing large north-south asymmetries in polar geospace during a geomagnetic storm on 17 August 2001. This video is published with the paper "The asymmetric geospace as displayed during the geomagnetic storm on August 17, 2001", by Østgaard et al., at https://www.ann-geophys-discuss.net/angeo-2018-65/. The paper is currently in the first phase of review, open for discussion.</p> <p>The observations:<br> UV aurora in the north, in three different wavelength, from the IMAGE FUV instruments (left)</p> <p>UV aurora in the south, observed with the VIS Earth camera on the Polar satellite (right). The images from the north and south are simultaneous, within ~1 min.</p> <p>Equivalent currents from SuperMAG ground magnetometers are shown as red pins in the northern hemisphere</p> <p>Electron energy flux measured with the NOAA POES satellites, and the DMSP satellites, is shown as pink bars.</p> <p>Field-aligned currents, derived with in-situ magnetometer measurements on the CHAMP satellite are shown in red (up) and blue (down) colour.</p> <p>Convection measurements from SSIES on the DMSP satellites are shown as green bars</p> <p>The locations of SuperDARN backscatter are shown as green dots. The line-of-sight measurements are not shown in the video, but used in the analysis in the paper.</p> <p>Time series of magnetic indices and interplanetary magnetic field components are shown in the upper right corner.</p>
STORM Climate Indices Maps
<p>These data sets contains climate indices (for definitions please see README file) determined with the Climate Data Operator (cdo) software calculated based on EURO-CORDEX regional climate model projections using RCP4.5 and RCP8.5 for the period 2036-2065 as well as the time period 1971-2000 (baseline climate). The indices are based on an ensemble of EURO-CORDEX runs (see README file) after determining the indices based on each run individually, and are available for an area around the STORM pilot sites (located in Mellor, UK; Troia, Portugal; Rome, Italy; Rethymno, Greece; and Ephesus, Turkey). For more information and terms of use please consult the README file.</p>
Supplement videos for manuscript Impacts of storm "Zyprian" on middle and upper atmosphere observed from Central European stations
<p>Supplement video material for the manuscript Impacts of storm “Zyprian” on middle and upper atmosphere observed from Central European stations. It contains loop of MSG satellite observation and infrasound animations.</p>
Ionospheric data during the May 2024 super geomagnetic storm
<p>The Global Navigation Satellite System (GNSS) data, low latitude long range ionospheric radar (LARID) echo, and ionosonde data from the Ionospheric observational network for irregularity and scintillation in East/Southeast Asia (IONISE), the Chinese Meridian Project (http://data.meridianproject.ac.cn), and are archived at the Geophysics Center, National Earth System Science Data Center at BNOSE, IGGCAS (http://wdc.geophys.ac.cn/). The GNSS total electron content (TEC) with sampling rate of 30s are binned into 1°×1° grids every 5 minutes to investigate the ionospheric variation during the storm. The Rate of TEC index (ROTI) are binned into 1°×1° grids every 5 minutes to investigate the ionospheric irregularities during the storm. The LARID at Dongfang are used to investigate the ionospheric variation in a wide zonal span ~3800 km or more. The LARID worked at 20.4 MHz under a beam steering mode, stepped by 5°. For each beam, the radar can receive signals from the slant ranges of 60 km to 9600 km. The ionosonde ionograms obtained at Meiji, Ledong, Wuhan and Beijing with temporal resolutions of 5, 7.5, 15 and 15 min, respectively were manually scaled to get the bottomside plasma frequency profiles.</p>
Supporting Data for "The Vertical Structure of Tropical Temperature Change in Global Storm-Resolving Model Simulations of Climate Change"
<p>Code and netcdf files of processed X-SHiELD and CMIP6 simulations to reproduce the figures of the revised submission of Timothy M. Merlis, Ilai Guendelman, Kai-Yuan Cheng, Lucas Harris, Yan-Ting Chen, Christopher S. Bretherton, Maximilien Bolot, Linjiong Zhou, Alex Kaltenbaugh, Spencer K. Clark, and Stephan Fueglistaler (2024): "The Vertical Structure of Tropical Temperature Change in Global Storm-Resolving Model Simulations of Climate Change".</p> <p> </p>
Observations and Modeling Investigations of Ionospheric Response to April 23-24, 2023, G4-Class Geomagnetic Storm over Indian Sector
<p>This study explores the ionospheric response over the Indian sector to the G4-class geomagnetic storm of April 23-24, 2023. Utilizing multi-instrument observations and SAMI2 modeling, ionospheric behavior was examined during the storm's main phase (17:41 UT, April 23 - 04:03 UT, April 24) and the recovery phase (04:03 UT - 22:44 UT, April 24). During the main phase, ionosonde data from Tirunelveli showed rapid F-layer height (h’F) variations driven by westward and eastward prompt penetration electric fields (PPEFs). The westward PPEF, induced by undershielding, led to an initial decrease in h’F followed by an increase, suppressing pre-existing Equatorial Plasma Bubbles (EPBs) within two hours of the storm’s onset. Despite a late-night rise in h’F due to overshielding, no new EPB formed. The recovery phase exhibited a positive storm effect at low latitudes and a negative effect at higher latitudes, linked to disturbance dynamo electric fields (DDEFs) and thermospheric composition changes (O/N₂). Isofrequency analysis of CADI ionosonde and GNSS TEC data revealed large-scale traveling ionospheric disturbances (LSTIDs) with a ~2-hour period, ~2,450 km wavelengths, and ~340 m/s equatorward propagation speed. These LSTIDs were likely driven by atmospheric gravity waves or auroral heating. The westward DDEF suppressed the equatorial ionization anomaly (EIA) and inhibited post-sunset EPBs, while eastward DDEF increased h’F post-midnight without EPB formation. We speculate this absence might be due to a lack of seeding mechanisms. SAMI2 simulations incorporating E×B drift data reproduced several storm-time features in the main and recovery phases.</p>
Data for journal article "Dancing Sprites Above a Lightning Mapping Array - an analysis of the storm and flash/sprite developments"
<p>Data used for the analysis presented in the paper: "Dancing Sprites Above a Lightning Mapping Array - an analysis of the storm and flash/sprite developments" published in JGR Atmospheres.</p>
Event-Based Computing Packet Storm Dataset - 512 Square Heated Plate
<p>Instrumentation data for a 512x512 heated plate run on the POETS event-based compute platform.</p>
Assessment of the data assimilation framework for the prototype Rapid Refresh Forecast System and impacts on forecasts of convective storms
<p>The compressed file contains the data and scripts necessary for the numerical experiments conducted in this research and the processing and visualization of the results. It includes the namelist files used for the model when using cold and warm start, the analyses in each experiment, and the grid, topography and surface climatology along with the model configuration file, the file used in the analyses to read the horizontal and vertical scales from an external file, all scripts used to execute every task of the workflow, all scripts used to process model outputs with MET, as well as all scripts and data used to create all figures of the paper.</p>
Storms risk videos
Educational videos associated with the Natural Environment Research Council (NERC) funded Storms risk project.
Sentinel 2 images before and after the VAIA storm
<p>Sentinel 2 images before and after the VAIA storm over an area between the Trentino Autonomous Province and Veneto.</p> <p> </p>
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