Relevant bibliographies by topics / Thunderstorm

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Thunderstorm'

Author: Grafiati
Published: 4 June 2021
Last updated: 21 December 2024

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Journal articles on the topic "Thunderstorm"

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Nedostrelova, L. V., and V. V. Chumachenko. "Time distribution of thunderstorms observed at Odesa AMSC at the beginning of the 21st century." Ukrainian hydrometeorological journal, no. 27 (June 30, 2021): 16–23. http://dx.doi.org/10.31481/uhmj.27.2021.02.

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The article presents the results of the research of thunderstorm activity at Odesa AMSC for the period of 2000-2019. Under conditions of intense warming, thunderstorm activity responds to the changes of temperature, humidity, radiation regime and atmospheric composition. Modern climate changes that are characterized by rising air temperatures have a decisive influence on the conditions under which dangerous weather phenomena are formed, thus monitoring of the thunderstorms formation in Ukraine is of great importance. The research includes the analysis of synoptic conditions of thunderstorm activity formation such as air-mass processes, frontal activity, and studies daily and daytime variability of the number of thunderstorm cases for the given period. The results of everyday meteorological observations of atmospheric phenomena conducted by Odesa AMSC within the period of 2000-2019 were used as input data to determine the characteristics of thunderstorm activity over city of Odesa. In order to identify the presence, time and duration of thunderstorm activity aviation weather diaries AV-6 were also reviewed. Certain synoptic materials were used to analyze the types of phenomena. Such materials include interactive database ARMsyn, surface synoptic charts for the periods of observation before and during the thunderstorms. It was established that during the period under study air-mass thunderstorms were formed in 370 cases of thunderstorm activity observed at the given observation post. Frontal thunderstorms occur less often: 241 cases over 20 years. The largest number of such thunderstorms is cold front thunderstorms amounting to 129 cases. 75 of them were identified as occlusion front thunderstorms. The least frequent were warm front thunderstorms – only 37 cases constituting 15% of the total number of frontal formations. During the studied period a total number of 620 thunderstorm cases was recorded, 195 of which are dry thunderstorms. Considerable attention is paid to the daily and daytime variability of thunderstorm cases number recorded by Odesa AMSC. With relation to the daily variation, more thunderstorms are observed during daytime amounting to 393 cases, 130 of which are dry thunderstorms. Night thunderstorms amount to 227 cases, 65 of which are dry thunderstorms. With relation to daytime distribution, more thunderstorms were detected in the afternoon.
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Morgenstern, Deborah, Isabell Stucke, Georg J. Mayr, Achim Zeileis, and Thorsten Simon. "Thunderstorm environments in Europe." Weather and Climate Dynamics 4, no. 2 (May 25, 2023): 489–509. http://dx.doi.org/10.5194/wcd-4-489-2023.

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Abstract. Meteorological environments favorable for thunderstorms are studied across Europe, including rare thunderstorm conditions from seasons with climatologically few thunderstorms. Using cluster analysis on ERA5 reanalysis data and EUCLID (European Cooperation for Lightning Detection) lightning data, two major thunderstorm environments are found: wind-field thunderstorms, characterized by increased wind speeds, high shear, strong large-scale vertical velocities, and low CAPE values compared to other thunderstorms in the same region, and mass-field thunderstorms, characterized by large CAPE values, high dew point temperatures, and elevated isotherm heights. Wind-field thunderstorms occur mainly in winter and more over the seas, while mass-field thunderstorms occur more frequently in summer and over the European mainland. Several sub-environments of these two major thunderstorm environments exist. Principal component analysis is used to identify four topographically distinct regions in Europe that share similar thunderstorm characteristics: the Mediterranean, Alpine–central, continental, and coastal regions, respectively. Based on these results it is possible to differentiate lightning conditions in different seasons from coarse reanalysis data without a static threshold or a seasonal criterion.
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CHAUDHURI, SUTAPA. "CHAOTIC GRAPH THEORY APPROACH FOR IDENTIFICATION OF CONVECTIVE AVAILABLE POTENTIAL ENERGY (CAPE) PATTERNS REQUIRED FOR THE GENESIS OF SEVERE THUNDERSTORMS." Advances in Complex Systems 10, no. 03 (September 2007): 413–22. http://dx.doi.org/10.1142/s0219525907001215.

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Severe thunderstorms are a manifestation of deep convection. Conditional instability is known to be the mechanism by which thunderstorms are formed. The energy that drives conditional instability is convective available potential energy (CAPE), which is computed with radio sonde data at each pressure level. The purpose of the present paper is to identify the pattern or shape of CAPE required for the genesis of severe thunderstorms over Kolkata (22°32′N, 88°20′E) confined within the northeastern part (20°N to 24°N latitude, 85°E to 93°E longitude) of India. The method of chaotic graph theory is adopted for this purpose. Chaotic graphs of pressure levels and CAPE are formed for thunderstorm and non-thunderstorm days. Ranks of the adjacency matrices constituted with the union of chaotic graphs of pressure levels and CAPE are computed for thunderstorm and non-thunderstorm days. The results reveal that the rank of the adjacency matrix is maximum for non-thunderstorm days and a column with all zeros occurs very quickly on severe thunderstorms days. This indicates that CAPE loses connectivity with pressure levels very early on severe thunderstorm days, showing that for the genesis of severe thunderstorms over Kolkata short, and therefore broad, CAPE is preferred.
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Mohiduddin, Md, Samshad Nowreen, Md Forhad Uddin, and Mallik Akram Hossain. "A geographical analysis of thunderstorms in southern Bangladesh." National Geographical Journal of India 67, no. 3 (September 30, 2021): 308–21. http://dx.doi.org/10.48008/ngji.1779.

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Thunderstorm is one of the extreme devastating natural disasters, which causes death, injuries and adverse loss in agriculture, housing structure and domestic animals during the period of pre-monsoon and monsoon. Bangladesh is vulnerable to thunderstorm disasters due to its location and weather conditions. Rural people are severely affected by a thunderstorm. For this research, necessary data were collected from secondary as well as primary sources. Thunderstorm related information was randomly gathered from the 150 affected family members and close relatives. The study demonstrated that the working people especially farmers and school going students were severely affected. The research also identified impacts of thunderstorms on humans, types of damage and monetary loss. In terms of thunderstorm induced casualty, the number of death was higher than other casualties in the study area. This research also revealed that above 67 % of people succumbed to death by the thunderstorms which damaged crops, households, animals and trees. People in the study area also suffered from physical damage, for example, injuries to ears, eyes, and body. More than 37% of people faced hearing problems due to strikes of thunderstorms. The study also identified the risk factors responsible for the thunderstorms, such as lack of knowledge about a thunderstorm, outdoor activities, diurnal, and locational variation. Policymakers and planners will find insights from this research to mitigate the impact of thunderstorm disasters in rural Bangladesh.
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Huryn, Steven, William Gough, Ken Butler, and Tanzina Mohsin. "An Evaluation of Thunderstorm Observations in Southern Ontario Using Automated Lightning Detection Data." Journal of Applied Meteorology and Climatology 54, no. 9 (September 2015): 1837–46. http://dx.doi.org/10.1175/jamc-d-15-0089.1.

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AbstractHigh-impact weather events, such as thunderstorms and their associated hazards, are aspects of a changing climate that are likely to have an adverse effect on society. Southern Ontario is Canada’s most populated region as well as the region of Canada that receives the most thunderstorms. Before completing climatological studies of thunderstorms in southern Ontario, it is important to determine whether historical thunderstorm data are reliable. Archived thunderstorm data are available from eight 24-h-staffed weather stations across southern Ontario. The data may be subject to observer bias. This study compared the manual observations of thunderstorms with automated data from the Canadian Lightning Detection Network. It was found that the data that are based on the manual observations are reliable enough that any significant trends in thunderstorm occurrence over time should be apparent. Because of the small-scale nature of thunderstorms, however, the data may only be valid for small distances (up to 10 km) around each weather station. A diurnal bias was also discovered, with manual thunderstorm observations being slightly better at night.
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Raupach, Timothy H., Andrey Martynov, Luca Nisi, Alessandro Hering, Yannick Barton, and Olivia Martius. "Object-based analysis of simulated thunderstorms in Switzerland: application and validation of automated thunderstorm tracking with simulation data." Geoscientific Model Development 14, no. 10 (October 27, 2021): 6495–514. http://dx.doi.org/10.5194/gmd-14-6495-2021.

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Abstract. We present a feasibility study for an object-based method to characterise thunderstorm properties in simulation data from convection-permitting weather models. An existing thunderstorm tracker, the Thunderstorm Identification, Tracking, Analysis and Nowcasting (TITAN) algorithm, was applied to thunderstorms simulated by the Advanced Research Weather Research and Forecasting (AR-WRF) weather model at convection-permitting resolution for a domain centred on Switzerland. Three WRF microphysics parameterisations were tested. The results are compared to independent radar-based observations of thunderstorms derived using the MeteoSwiss Thunderstorms Radar Tracking (TRT) algorithm. TRT was specifically designed to track thunderstorms over the complex Alpine topography of Switzerland. The object-based approach produces statistics on the simulated thunderstorms that can be compared to object-based observation data. The results indicate that the simulations underestimated the occurrence of severe and very large hail compared to the observations. Other properties, including the number of storm cells per day, geographical storm hotspots, thunderstorm diurnal cycles, and storm movement directions and velocities, provide a reasonable match to the observations, which shows the feasibility of the technique for characterisation of simulated thunderstorms over complex terrain.
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Kaur, Lovedeep, Dr Amardeep Singh, and Dr Navdeep Kanwal. "Thunderstorm Nowcasting in India: A Survey." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 008 (August 10, 2024): 1–2. http://dx.doi.org/10.55041/ijsrem37026.

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Abstract Thunderstorm is a major threat to life. In India it is a major disaster which causes loss of life and property every year. It is a meteorological phenomenon occurs in different parts of India which includes heavy rainfall, strong wind, hailstorm, dust storm or lightning. The earlier prediction of thunderstorms is crucial for public safety and awareness. Thunderstorm prediction is essential for public safety that’s why precision and accuracy in predicting thunderstorms is very important. Thunderstorm is a phenomenon which occurs due to formation of convection cells and the lifetime of one convection cell is less than an hour so nowcasting or short term forecasting is recommended for thunderstorms in which the model predicts the initiation, development and direction of thunderstorms sub-hourly. Indian Meteorological department uses satellites that are INSAT-3DR (74°E), INSAT-3D (84°E) & Kalpana-1 (72.4°E) operationally for forecasting. Approximately 200 Agro-Automated Weather Station (Agro- AWS), 806 Automatic weather stations, 1382 Automatic Rain gauges, 83 lightning sensors along with 63 Pilot balloon upper air observation stations serve as the backbone of weather observation services of IMD throughout the country. In addition IMD has 39 Doppler Weather Radars (DWRs) well distributed across the country to monitor severe weather events. Due to advancement in technology, the thunderstorm nowcasting techniques also evolved. Now a days , radar based techniques like TITAN (Thunderstorm Identification, Tracking and Nowcasting), satellite based techniques, Numerical weather prediction, machine learning and deep learning techniques play a vital role in nowcasting. The study also discuss about the challenges faced by meteorologists during thunderstorm nowcasting. Key Words: Thunderstorm, Weather Prediction, Nowcasting
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Avotniece, Zanita, Agrita Briede, Maris Klavins, and Svetlana Aniskevich. "Remote Sensing Observations of Thunderstorm Features in Latvia." Environmental and Climate Technologies 21, no. 1 (December 1, 2017): 28–46. http://dx.doi.org/10.1515/rtuect-2017-0014.

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Abstract Thunderstorms are the most hazardous meteorological phenomena in Latvia in the summer season, and the assessment of their characteristics is essential for the development of an effective national climate and weather prediction service. However, the complex nature of convective processes sets specific limitations to their observation, analysis and forecasting. Therefore, the aim of this study is to analyse thunderstorm features associated with severe thunderstorms observed in weather radar and satellite data in Latvia over the period 2006–2015. The obtained results confirm the applicability of the selected thunderstorm features for thunderstorm nowcasting and analysis in Latvia. The most frequent features observed on days with thunderstorm were maximum radar reflectivities exceeding 50 dBZ and the occurrence of overshooting tops and tilted updrafts, while the occurrence of gravity waves, V-shaped storm structures and small ice particles have been found to be useful indicators of increased thunderstorm severity potential.
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MANOHAR, G. K., and A. P. KESARKAR. "Climatology of thunderstorm activity over the Indian region : II. Spatial distribution." MAUSAM 55, no. 1 (January 19, 2022): 31–40. http://dx.doi.org/10.54302/mausam.v55i1.854.

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Thunderstorms play important roles in many areas of information about earth-atmosphere relationship. Inspite of this awareness of importance of thunderstorms, it is noted that studies about thunderstorms over India received little attention in the past. Latest (IMD, 1999) climatological monthly data of number of thunderstorm days (Thn), rainy days (Tnr), and rainfall amount (Trr) for 276 Indian observatory stations are analyzed, over 11 geographic regions comprising India, to examine relationship between these parameters. Analysis of Thn and Tnr data sets showed that in the premonsoon season major part of India is strongly dominated by frequent and widespread thunderstorms but with occasional rainy days. However, in the monsoon season on account of very large increase in the rainy days over the thunderstorm days, the Thn-Tnr relationship is reversed. The climatological feature of India in the premonsoon season is noted as a characteristic of cumulonimbus regime of continental convection, and the one in the monsoon season is termed as cumulonimbus regime of monsoonsal convection. The prominence of monsoonal convective regime is therefore very important in deciding the performance of Indian southwest monsoon. The analysis between Trr and Thn was carried out over 11 geographic regions of India in the four seasons of the annual period. Results pertaining to monsoon season showed that the contribution of thunderstorms to rainfall is highest among the other three seasons. It is inferred that thunderstorm’s rain contribution to monsoonal rainfall is significant.
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Litta, A. J., Sumam Mary Idicula, and U. C. Mohanty. "Artificial Neural Network Model in Prediction of Meteorological Parameters during Premonsoon Thunderstorms." International Journal of Atmospheric Sciences 2013 (December 23, 2013): 1–14. http://dx.doi.org/10.1155/2013/525383.

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Forecasting thunderstorm is one of the most difficult tasks in weather prediction, due to their rather small spatial and temporal extension and the inherent nonlinearity of their dynamics and physics. Accurate forecasting of severe thunderstorms is critical for a large range of users in the community. In this paper, experiments are conducted with artificial neural network model to predict severe thunderstorms that occurred over Kolkata during May 3, 11, and 15, 2009, using thunderstorm affected meteorological parameters. The capabilities of six learning algorithms, namely, Step, Momentum, Conjugate Gradient, Quick Propagation, Levenberg-Marquardt, and Delta-Bar-Delta, in predicting thunderstorms and the usefulness for the advanced prediction were studied and their performances were evaluated by a number of statistical measures. The results indicate that Levenberg-Marquardt algorithm well predicted thunderstorm affected surface parameters and 1, 3, and 24 h advanced prediction models are able to predict hourly temperature and relative humidity adequately with sudden fall and rise during thunderstorm hour. This demonstrates its distinct capability and advantages in identifying meteorological time series comprising nonlinear characteristics. The developed model can be useful in decision making for meteorologists and others who work with real-time thunderstorm forecast.
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Dissertations / Theses on the topic "Thunderstorm"

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Wallentine, Kari D. "Thunderstorm phobia in dogs." Thesis, Kansas State University, 2008. http://hdl.handle.net/2097/11975.

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Master of Science
Department of Animal Sciences and Industry
Janice C. Swanson
Canine thunderstorm phobia is a common, frustrating, and complex problem that, due to the often severe nature of the clinical signs, can lead to canine relinquishment to shelters. Although a potentially treatable disorder, existing treatment options have several limitations and variable success rates. Three survey-based studies were conducted to increase the knowledge base for canine thunderstorm phobia. The first study distributed 1445 surveys through 16 Kansas veterinary clinics to determine the prevalence and characteristics of thunderstorm phobic dogs and assess differences between affected and non-affected dogs. Of 463 dogs surveyed, 240 were thunderstorm phobic as assessed by their owners. Severe weather warning systems may play a role in thunderstorm phobia. Thunderstorm phobic dogs were more fearful when exposed to tornado sirens, both during actual storms and siren testing, indicating a possible effect of classical conditioning. No differences were noted regarding sex, breed, pedigree, or neuter status. Most affected dogs preferred to be indoors remaining near their owners. The second study distributed 1600 surveys through eight Kansas animal shelters to determine the prevalence of relinquished dogs with thunderstorm phobia. Other reasons for relinquishment were also assessed. A fear of thunder was among the least common behavioral problems leading to relinquishment in dogs. Only a quarter of owners had visited a veterinarian for assistance with behavioral problems. The third study involved the administration of dog appeasing pheromone (DAP) in a double-blind, placebo-controlled, randomized clinical trial to assess its efficacy as a sole treatment for thunderstorm phobia. Data was collected from 60 dog owners using behavioral assessment questionnaires. In dogs given the placebo, six behaviors significantly improved, with another eleven showing a numerical trend toward improvement. However, in dogs given DAP, significant improvement was seen in three of these same behaviors. Consequently, these results do not indicate the potential use of DAP for reducing fearful behaviors associated with thunderstorm phobia when compared to negative controls. Information gained from these studies allows veterinarians and behavioral researchers to better understand the extent of this behavioral disorder and hopefully stimulates future research to find new and more effective ways to treat it.
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Wurman, Joshua Michael Aaron Ryder. "Forcing mechanisms of thunderstorm downdrafts." Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/59043.

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Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 1991.
Includes bibliographical references (p. 151-156).
by Joshua Michael Aaron Ryder Wurman.
Sc.D.
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McConville, Alastair Charles. "The physical simulation of thunderstorm downbursts." Thesis, University of Birmingham, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.736955.

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Nordin, Stensö Isak. "Predicting Tropical Thunderstorm Trajectories Using LSTM." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231613.

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Thunderstorms are both dangerous as well as important rain-bearing structures for large parts of the world. The prediction of thunderstorm trajectories is however difficult, especially in tropical regions. This is largely due to their smaller size and shorter lifespan. To overcome this issue, this thesis investigates how well a neural network composed of long short-term memory (LSTM) units can predict the trajectories of thunderstorms, based on several years of lightning strike data. The data is first clustered, and important features are extracted from it. These are used to predict the mean position of the thunderstorms using an LSTM network. A random search is then carried out to identify optimal parameters for the LSTM model. It is shown that the trajectories predicted by the LSTM are much closer to the true trajectories than what a linear model predicts. This is especially true for predictions of more than 1 hour. Scores commonly used to measure forecast accuracy are applied to compare the LSTM and linear model. It is found that the LSTM significantly improves forecast accuracy compared to the linear model.
Åskväder är både farliga och livsviktiga bärare av vatten för stora delar av världen. Det är dock svårt att förutsäga åskcellernas banor, främst i tropiska områden. Detta beror till större delen på deras mindre storlek och kortare livslängd. Detta examensarbete undersöker hur väl ett neuralt nätverk, bestående av long short-term memory-lager (LSTM) kan förutsäga åskväders banor baserat på flera års blixtnedlslagsdata. Först klustras datan, och viktiga karaktärsdrag hämtas ut från den. Dessa används för att förutspå åskvädrens genomsnittliga position med hjälp av ett LSTMnätverk. En slumpmässig sökning genomförs sedan för att identifiera optimala parametrar för LSTM-modellen. Det fastslås att de banor som förutspås av LSTM-modellen är mycket närmare de sanna banorna, än de som förutspås av en linjär modell. Detta gäller i synnerhet för förutsägelser mer än 1 timme framåt. Värden som är vanliga för att bedöma prognosers träffsäkerhet beräknas för att jämföra LSTM-modellen och den linjära. Det visas att LSTM-modellen klart förbättrar förutsägelsernas träffsäkerhet jämfört med den linjära modellen.
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Barrett, Kevin M. Greene Donald Miller. "The county bias of severe thunderstorm warnings and severe thunderstorm weather reports for the Central Texas region." Waco, Tex. : Baylor University, 2008. http://hdl.handle.net/2104/5161.

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Shield, Stephen Shield. "Predictive Modeling of Thunderstorm-Related Power Outages." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu152951430854521.

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Hsieh, Huey-Hong. "Stochastic daily thunderstorm generation in southeast Arizona." Diss., The University of Arizona, 2002. http://hdl.handle.net/10150/280114.

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Thunderstorm rainfall in semi-arid areas has very high spatial and temporal variability. Knowledge of the spatial characteristics of thunderstorm rainfall is important for the increasing demands of distributed hydrological modeling. Rainfall data from the semiarid USDA-ARS Walnut Gulch Experimental Watershed (WGEW) were used to investigate the spatial characteristics of thunderstorm rainfall in southeast Arizona and to develop a daily thunderstorm rainfall generator. WGEW has a very dense rain-gage network (1 gage per 2 km²) and very comprehensive historical records (over 40 years). These data were used to identify the following physical characteristics of thunderstorm rainfall: the transition probabilities, thunderstorm cell size, orientation, maximum rainfall depth within a storm cell and storm center location. The following statistical characteristics were identified through an analysis of the WGEW data: the storm center locations on WGEW have a Poisson distribution, the maximum depth within a storm cell has a lognormal distribution, the shape of a storm cell is elliptical with an average major axis length to the minor axis length ratio of 1.55 and the orientation of a storm cell is primarily NW or NE. The storm coverage and the maximum rainfall depth within a storm cell have a linear relationship after a logarithmic transformation. Storm occurrences have higher frequencies during the last two weeks of July and the first two weeks of August than other wet periods (July ∼ September). The stochastic daily summer rainfall generator being developed based on the statistical characteristics above was tested by comparing the simulation results with long-term historical records of representative gages on WGEW.
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ZUZUL, JOSIP. "Characterization of thunderstorm downburst winds through CFD techniques." Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1081542.

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The characteristic wind field of a certain region is mostly governed by the climatology of its larger scale area. In the case of mid-latitude regions (e.g. Europe), their climatology is determined by the extra-tropical cyclones at the larger synoptic scale. Atmospheric boundary layer (ABL) winds based on synoptic-scale structures are hence considered as the foundation for codes and standards used to assess the wind loading of structures and to design structures to prevent wind-related damage accordingly. In addition to the ABL winds, the mid-latitude regions are also prone to winds of a non-synoptic origin at the mesoscale level, with thunderstorm outflows or downbursts being the representative of such non-synoptic wind action. Since they are determined by a set of features that makes them fundamentally different from the ABL winds, downbursts can produce the corresponding wind action that is often fatal to low-rise and mid-rise structures. On these grounds, a comprehensive initiative to enable a better understanding of fundamental downburst flow features relevant for the structural loading was framed under the umbrella of the ERC THUNDERR Project. The present thesis, as the numerical modeling part of the THUNDERR Project framework, aims to address the physical characteristics of thunderstorm downbursts through the application of Computational Fluid Dynamics (CFD) technique. The focus of this work is placed on the CFD reconstruction of experimental tests of the reduced-scale thunderstorm downbursts carried out in the WindEEE Dome Research Institute (University of Western Ontario, Canada). Although they recreate the downburst flow field, the experimental analysis is restricted to the limited number of probe points. In that perspective, CFD allows expanding the analysis of experimental tests to the entire flow field, which can reveal phenomenological aspects that are either challenging or impossible to retrieve from experimental tests only. Two fundamental downburst scenarios were analyzed: (i) an isolated vertical downburst, and (ii) a downburst embedded inside the approaching ABL flow. For that purpose, three CFD approaches of a ranging complexity level were adopted. The unsteady Reynolds-Averaged Navier-Stokes (URANS), hybrid Scale-Adaptive Simulations (SAS), and Large-Eddy Simulations were used, and their overall reliability was examined. Theimplications of the WindEEE Dome specific geometrical features (i.e. bell-mouth inflow nozzle) on the downburst flow reconstruction by the facility were further discussed. The bulk of the thesis discusses the dominant flow features of the downburst with the particular emphasis on the dynamics of dominant vortex structures (i.e. primary vortex, secondary vortex, trailing ring vortices) and their spatio-temporal influence on the vertical profiles of radial velocity component. The non-dimensional flow characteristics of interest were evaluated such as the trajectory of the primary vortex and the spatial dependence of the velocity of primary vortex propagation. Analyses were further extended for the case of a joint downburst and ABL wind interaction to address the dynamics between two different wind fields, and the genesis of the worst condition in terms of the maximum radial velocity due to the ABL wind entrainment was discussed. The flow field was analyzed across various azimuth angles with respect to the ABL flow to report on the flow asymmetry, and general implications of such downburst configuration on spatio-temporal evolution of wind velocity profiles which can produce severe conditions for low-rise and mid-rise structures.
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BRUSCO, STEFANO. "Transient phenomena induced by thunderstorm outflows on slender structures." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1051022.

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The climatology at mid-latitudes (for instance, Europe) is dominated by both extra-tropical depressions at the synoptic scale and by mesoscale thunderstorm outflows (also called downbursts). Thunderstorm outflows are non-stationary phenomena, complex and potentially devastating, which strongly differ from synoptic winds under many points of view (genesis, scale, duration above all). Consequently, the induced wind fields are highly different. Modern codes and guidelines are mainly based on the cyclonic model, because of the persistent lack of knowledge about thunderstorm outflows, in particular concerning full-scale measurements. On the other hand, severe wind damage is often induced by downbursts, especially concerning low- and medium- rise structures (e.g., cranes, small turbines, light poles, low-canopies). The present PhD Thesis is collocated within the framework of the ERC THUNDERR Project. It investigates aspects connected with the aerodynamic loading of structures subjected to thunderstorm outflows, particularly focusing on the transient aerodynamics and transient aeroelasticity. This is firstly pursued through the definition of analytical formulations which, starting from compatible vertical wind fields, permit to evaluate the aerodynamic wind loading by using the strip and quasi-steady theory. The application of the procedures on selected slender test structures shows that a crucial role is played by thunderstorm-induced variations of the wind angle of attack, which may increase or reduce the structure response. The second part of the Thesis is devoted to an extensive experimental campaign carried out at the multiple-fan wind tunnel of the Tamkang University, Taipei, which is able to simulate unsteady flows. The sectional model of a sharp-edged square cylinder, equipped with 94 pressure taps, is investigated and numerous configurations of the flow parameters are considered in order to study the effects of acceleration on the aerodynamic loads and on the vortex-shedding from the body. The drag coefficients and the fluctuating cross-flow force coefficients connected with vortex shedding are found to be either comparable or definitely lower than their corresponding values for steady flows. Furthermore, discontinuities of the shedding frequency are present during the transients and their number and magnitude appear to be connected with the acceleration of the flow.
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Maggio, Christopher Ross. "Estimations of lightning charge transfers in New Mexico thunderstorms and applications to lightning energy, thunderstorm generator currents, and above-cloud transient currents /." Full text available from ProQuest UM Digital Dissertations, 2007. http://0-proquest.umi.com.umiss.lib.olemiss.edu/pqdweb?index=0&did=1609152051&SrchMode=1&sid=1&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1245341216&clientId=22256.

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Books on the topic "Thunderstorm"

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Szilagyi, Mary. Thunderstorm. New York, N.Y: Bradbury Press, 1985.

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Geisert, Arthur. Thunderstorm. New York: Enchanted Lion Books, 2013.

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Silva, Linda Kay. THUNDERSTORM. USA: RISING TIDE PRESS, 2006.

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ill, Wijngaard Juan, ed. Thunderstorm! New York: Dial Books for Young Readers, 1994.

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ill, Ward Damian 1977, ed. It's a thunderstorm! Edina, Minn: Magic Wagon, 2010.

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Mangi, Iroma. Noṃ mamit phākapā amaśuṃ nonmai śīṃjaṃ tābagī nainarola. Imphāla: Angomningthou Preservation & Documentation Centre, 2013.

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Mayer, Gina. Just a thunderstorm. Racine, Wis: Western Pub. Co., 1993.

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illustrator, Henson Rachel, ed. The angry thunderstorm. Bloomington, IN: AuthorHouse, 2009.

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Madokoro, Hisako. Buster's first thunderstorm. Milwaukee: Gareth Stevens Children's Books, 1991.

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Hulst, Willem G. van de (Willem Gerrit), 1917- illustrator, Janssen Paulina M, Nederlanden Harry der translator, and Plantinga Theodore 1947 translator, eds. Through the thunderstorm. Neerlandia, Alberta, Canada: Inheritance Publications, 2014.

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Book chapters on the topic "Thunderstorm"

1

LaDochy, Stephen, and Michael Witiw. "Thunderstorms and Thunderstorm-Associated Severe Weather." In Fire and Rain, 143–62. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-32273-0_10.

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Ivanova, I. A., M. V. Khaibullov, O. N. Toptunova, and O. V. Volobueva. "Sochi Airport Thunderstorm Forecast." In Springer Proceedings in Earth and Environmental Sciences, 203–13. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19012-4_19.

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Yusupov, Igor, Evgeniy Korovin, Georgy Shchukin, and Vladimir Shuleikin. "Thunderstorm Activity Intensification over Marshland." In Advances in Intelligent Systems and Computing, 417–29. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19868-8_42.

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Bruyn, J., B. Haak, S. H. Levie, P. J. J. Van Thiel, and E. Van De Wetering. "Mountain landscape with a thunderstorm." In A Corpus of Rembrandt Paintings, 362–66. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-0811-6_38.

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Burgess, Donald W., and Leslie R. Lemon. "Severe Thunderstorm Detection by Radar." In Radar in Meteorology, 619–47. Boston, MA: American Meteorological Society, 1990. http://dx.doi.org/10.1007/978-1-935704-15-7_41.

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Rotunno, Richard. "Supercell thunderstorm modeling and theory." In Geophysical Monograph Series, 57–73. Washington, D. C.: American Geophysical Union, 1993. http://dx.doi.org/10.1029/gm079p0057.

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Kasemir, H. W. "Corona Discharge and Thunderstorm Fields." In Heinz-Wolfram Kasemir: His Collected Works, 392–96. Washington, D. C.: American Geophysical Union, 2013. http://dx.doi.org/10.1002/9781118704813.ch26.

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Ge, Liangyan. "Cao Yu’s plays and Thunderstorm." In Routledge Handbook of Modern Chinese Literature, 194–204. London; New York, NY: Routledge, 2018.| Includes bibliographical references and index.: Routledge, 2018. http://dx.doi.org/10.4324/9781315626994-16.

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Prichard, Bob. "Thunderstorm Observing in the United Kingdom." In Extreme Weather, 135–54. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118949986.ch8.

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Halverson, Jeffrey B. "Violent Thunderstorm Downdrafts: Downbursts and Derechos." In An Introduction to Severe Storms and Hazardous Weather, 388–416. London: Routledge, 2024. http://dx.doi.org/10.4324/9781003344988-16.

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Conference papers on the topic "Thunderstorm"

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Zhang, Xi, Fei Luo, Qian Luo, Yaoling Zhi, Huali Wu, and Bingfu Lu. "Utilizing high spatiotemporal resolution lightning observation data for thunderstorm identification." In Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), edited by Pierluigi Siano and Wenbing Zhao, 187. SPIE, 2024. http://dx.doi.org/10.1117/12.3034135.

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Bohren, Craig F. "Green thunderstorms." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.fl2.

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Green thunderstorms are observed occasionally. Only the severest thunderstorms are green. With one exception, they have received no scientific attention, experimental or theoretical. Fraser suggested that a thick thunderstorm provides a dark backdrop. Greenness is a consequence of reddened sunlight illuminating selective scatterers along the observer’s line of sight. Thus a thunderstorm is not green, it is a black backdrop for green airlight near sundown. An alternative explanation, more in accord with my observations, is that green thunderstorms may be a consequence of the intrinsic blueness of clouds because of absorption by pure water, liquid or ice. Most clouds are so thin that the light transmitted by them is not markedly colored because of absorption. Only the most massive clouds, large both vertically and horizontally, are thick enough to color incident sunlight upon transmission. If that incident light is reddened, the transmitted light can be perceptually green.
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Шаталина, М. В., Ф. Г. Сарафанов, and Ю. В. Шлюгаев. "FEATURES OF THUNDERSTORM ACTIVITY IN THE NIZHNY NOVGOROD REGION: OBSERVATIONS AND ANALYSIS." In XXX Юбилейный Международный симпозиум Оптика атмосферы и океана. Физика атмосферы, 981–84. Crossref, 2024. https://doi.org/10.56820/oao30d35.

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В докладе представлены результаты наблюдений многопунктовой грозопеленгационной системы (ГПС) NNLDN (Nizhny Novgorod Lightning Detection Network), разработанной в ИПФ РАН и регистрирующей электромагнитное излучение молний ближних и дальних гроз в диапазоне 10-100 кГц. Сопоставлены результаты наблюдений молниевой активности системой NNLDN с региональным покрытием (100-300 км) и глобальной системой WWLLN. Представлено качественное совпадение карт грозоопасности за 2022 год. Изучена многолетняя статистика гроз в исследуемом регионе за 2015-2023 гг., а также отдельные наиболее интенсивные события. Выявлены основные региональные особенности грозовой активности в пределах Нижегородской области. The report presents the results of observations from a multi-point lightning direction finding system (LDFS) NNLDN (Nizhny Novgorod Lightning Detection Network), developed at IAP RAS and recording electromagnetic radiation from near and distant thunderstorms in the frequency range of 10-100 kHz. The results of lightning activity observations by the NNLDN system with regional coverage (100-300 km) are compared with the global WWLLN system. A qualitative match of thunderstorm risk maps for 2022 is presented. Multi-year statistics of thunderstorms in the studied region for the years 2015-2023 have been analyzed, as well as specific most intense events. The main regional features of thunderstorm activity within the Nizhny Novgorod region have been identified.
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Graeme-Wilson, Joshua, Jessica Harrison, and Adam Usher. "Thunderstorm Asthma." In ERS Congress 2024 abstracts, PA1262. European Respiratory Society, 2024. http://dx.doi.org/10.1183/13993003.congress-2024.pa1262.

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Kniaziev, V. V., and I. Yu Postelnik. "Thunderstorm warning systems." In 2016 8th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS). IEEE, 2016. http://dx.doi.org/10.1109/uwbusis.2016.7724142.

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Ariza, D., F. Roman, O. Montero, O. Escobar, and F. Santamaria. "Behavior of corona current and atmospheric variables under thunderstorm conditions: Thunderstorm prediction algorithm." In 2012 International Conference on Lightning Protection (ICLP). IEEE, 2012. http://dx.doi.org/10.1109/iclp.2012.6344379.

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Saunders, Clive P. R. "Studies of Thunderstorm Electrification Processes." In International Conference on Lightning and Static Electricity. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1999. http://dx.doi.org/10.4271/1999-01-2346.

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Serkov, Alexander, Sergei Nikitin, Vladimir Kravchenko, and Vladimir Knyazev. "Thunderstorm hazards early warning system." In 2015 Second International Scientific-Practical Conference Problems of Infocommunications Science and Technology (PIC S&T). IEEE, 2015. http://dx.doi.org/10.1109/infocommst.2015.7357294.

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Nguyen, Hieu, Lance Manuel, Matthew Barone, and Joshua Paquette. "Thunderstorm Risks to Wind Farms." In 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
20th AIAA/ASME/AHS Adaptive Structures Conference
14th AIAA. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-1830.

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JAROŠOVÁ, Miriam. "Thunderstorm phenomena at Slovak airports." In CLC 2022. TANGER Ltd., 2022. http://dx.doi.org/10.37904/clc.2022.4569.

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Reports on the topic "Thunderstorm"

1

Baker, Marcia, and Robert Solomon. A Numerical Study of Thunderstorm Electrification: Initial Electrification and Thunderstorm Climatology. Fort Belvoir, VA: Defense Technical Information Center, November 1991. http://dx.doi.org/10.21236/ada244638.

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Kersh, Steve. Late March 2020 Tornadic Thunderstorm. Office of Scientific and Technical Information (OSTI), August 2020. http://dx.doi.org/10.2172/1777919.

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Falvey, Robert J. Maxwell Air Force Base Thunderstorm Study. Fort Belvoir, VA: Defense Technical Information Center, June 1996. http://dx.doi.org/10.21236/ada315336.

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Comell, Daniel. Thunderstorm Forecast Study for Eglin AFB, FL. Fort Belvoir, VA: Defense Technical Information Center, March 1993. http://dx.doi.org/10.21236/ada263423.

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Vogel, Gerard N. A Parametric Representation of a Thunderstorm Cell. Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada271983.

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Voss, Hank, and Adam Bennett. Thunderstorm Effects in Space: Technology Nanosatellite (TEST) Program. Fort Belvoir, VA: Defense Technical Information Center, December 2005. http://dx.doi.org/10.21236/ada441512.

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Bussey, Allan J., Michael F. Remeika, Brian Newton, Daniel DeBenedictis, and Donald C. Norquist. A Thunderstorm Prediction Technique Based on a Perfect-Prog Approach. Fort Belvoir, VA: Defense Technical Information Center, February 1999. http://dx.doi.org/10.21236/ada371417.

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Kersh, Steve. May 7, 2020 - Explosive Supercell Thunderstorm In The SE TX Panhandle. Office of Scientific and Technical Information (OSTI), August 2020. http://dx.doi.org/10.2172/1777913.

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Hamill, Thomas M. Prediction of Thunderstorm Initiation Through 4-Dimensional Data Assimilation of Doppler Radar Data. Fort Belvoir, VA: Defense Technical Information Center, January 1992. http://dx.doi.org/10.21236/ada251243.

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Venne, Monique G., William H. Jasperson, and David E. Venne. Difficult Weather: A Review of Thunderstorm, Fog and Stratus, and Winter Precipitation Forecasting. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada336642.

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