Meteorological Phenomena Research Articles

Application of Mahalanobis-Taguchi System in Rainfall Trends at UMP Gambang Campus

Rainfall is a variable meteorological phenomenon that exhibits spatial variability across different locations. Weather stations collect a wide range of parameters to monitor and analyze rainfall patterns. However, not all parameters are equally significant or efficient in performing classification and optimization tasks. In this study, we propose the use of the Mahalanobis-Taguchi system (MTS) method to classify rainfall occurrences by RT-Method and optimize the parameter selection process by T-Method. The data were collected by weather station Vantage Pro2 in UMP Gambang. By applying RT- Method, we can classify the data sample in term of MD for November, May and April while reducing the number of parameters to only those that significantly contribute to the classification, which from 16 parameters to 8 parameters using T-Method. This approach provides a streamlined and efficient methodology for analyzing rainfall patterns and optimizing weather station data collection processes.

Spatial and meteorological controls of stable water isotope dynamics of precipitation in Kashmir Valley, Western Himalaya, India

ABSTRACT In the Himalayas, the lives and livelihoods of millions of people are sustained by water resources primarily depending on the moisture brought by Western Disturbances and Indian Summer Monsoon. In the present study, a network of 12 precipitation stations was established across the Kashmir Valley to understand the spatial and meteorological factors controlling precipitation isotopes. Temperature and relative humidity are dominant meteorological factors, whereas altitude, proximity to forest canopy, land use/land cover, windward and leeward sides of the mountains are the main physical factors influencing precipitation isotopes. The study suggests that the Mediterranean Sea and nearby water bodies along with continental recycling are the dominant sources of moisture from October to May, while the Arabian Sea, Bay of Bengal and continental recycling are the main sources of moisture from June to September. However, some precipitation events from October to May collect moisture from the Arabian Sea and some precipitation events from June to September collect moisture from the Mediterranean Sea. The occasional passage of Western Disturbances in summer merging with the Indian Summer Monsoon yields heavy to very heavy precipitation. The study provides a better understanding of complex spatial and meteorological phenomena controlling precipitation isotopes across the Western Himalayas.

Inter-annual variation of the mean temperature and rainfall in Chad and the solar activity during the period from 1950 to 2020

Given the increased variability of rainfall, the resurgence of extreme meteorological phenomena such as droughts, floods, heat waves, and violent winds and considering the influence of solar activity on certain meteorological parameters, a study on the variation of temperature and rainfall in relation to solar activity is necessary. The present study aimed to analyze the inter-annual evolution of meteorological parameters (mean temperature and rainfall) in Chad over the period from 1950 to 2020 in two geographically distinct areas (Sudanian and Sahelian zone) and then to establish a link between these parameters and solar activity to predict the variations of these two parameters over time. The rainfall results showed that the wettest years were 1959 in N'Djamena and 1951 in Moundou. On the other hand, the driest years recorded were 1984 in N'Djamena and 1998 in Moundou. The study of the mean temperature in these two areas during the same period led to the conclusion that the hottest year was 2010 in N'Djamena; however, in Moundou the hottest year recorded was 1997. Globally, in the two zones concerned, analysis of the results on variations in rainfall showed a downward trend. However, the study of average temperature showed a steady rise over the same period. The superposition of rainfall and mean temperature with the sunspot numbers Rz led to the conclusion that high sunspot activity increases temperature and thus warming, while low sunspot activity brings high precipitation.

Meteorological and air quality measurements in a city region with complex terrain: influence of meteorological phenomena on urban climate

Meteorological and air quality measurements in a city region with complex terrain: influence of meteorological phenomena on urban climate

Assessing low Reynolds number airfoil performance in microburst environments for micro/unmanned aerial vehicles: A numerical study

This study aims to investigate the impact of microbursts, which are a common meteorological phenomenon, on aircraft performance. A multiphase computational fluid dynamics model has been developed to simulate the microburst-generated downdraft environment over an airfoil. The simulations were conducted at a 12° angle of attack for takeoff conditions with a Reynolds number of 2×105. The lift and drag coefficients were compared to experimental results and exhibited a strong correlation. Additionally, this study examined the volume of fluid and the coefficient of pressure distribution. It also examined the boundary-layer velocity profiles at five different chord positions, the location of rivulet formation on the upper surface of the airfoil, and water film height. The results revealed a maximum variation of 72.18% and 16.53% in lift and drag coefficients, respectively, between the numerical and experimental results. These findings provide valuable insight into the effects of microbursts on aircraft performance and have implications for the aviation industry.

The early meteorological network of the Societas Meteorologica Palatina (1781–1792): foundation, organization, and reception

Abstract. The Societas Meteorologica Palatina arranged the first international meteorological network in a modern sense, being in operation between 1781 and 1792 during the last period of enlightenment. A total of 39 stations contributed observations. The original aim was to investigate influences of the moon and planets on the atmosphere. Instruments were provided free of charge; a physically very advanced instruction guaranteed reliable observational results, and the data collected at 3 different hours per day were printed at high cost in the Ephemerides Societatis Meteorologicae Palatinae (denoted Ephemerides hereafter) of Mannheim. This wealth of data has become a famous treasure trove for scientists and has been used later very often for climatic studies, for climatic comparisons of different locations in textbooks, for overcoming wrong but generally accepted or even outdated (e.g. scholastic) views; for finding new explanations for meteorological phenomena, and for studying extremes of meteorological parameters. Even in modern times, the data were evaluated and used to reconstruct historical weather maps. Although, meanwhile, some problems of the historical instruments have been recognized, most of the conclusions are still basically correct. The data were also used for verifying geomagnetic models or proxy data from tree-ring analysis. This network stimulated many scholars for special meteorological studies, and it was attractive for new stations to join the network. The early death of the meteorological secretary Johann Jakob Hemmer and the Napoleonic Wars brought about the end of the project. Nevertheless, many of the stations continued the observations using the available instruments.

Fuzzy analytical network techniques for selecting suitable temporary refuge sites in Paez, Colombia

Colombia exhibits a considerable incidence rate of natural disasters because of its location within the intertropical zone, which exposes it to various meteorological and geological phenomena, including the Nevado del Huila volcano. The identification of suitable areas for the installation of temporary shelters is critical for managing these disasters. However, the task of identifying such locations is a complex problem that involves multiple criteria. This study uses a fuzzy systems approach to identify suitable sites for establishing temporary shelters in the Paez municipality during natural disasters, considering the essential criteria determined by experts through pairwise comparisons. The study results indicate that responsiveness is the most significant criterion, followed by area profile. Using these criteria, it identified a specific locality in the Paez municipality as suitable for establishing temporary shelters during natural disasters caused by volcanic phenomena. The findings were compared with those obtained from existing scientific literature and validated by experts in natural disasters. The methodological process described in this study provides a valuable tool for public entities to make informed decisions concerning natural disasters in indigenous territories caused by volcanic phenomena.

Flexible renewable energy planning based on multi-step forecasting of interregional electricity supply and demand: Graph-enhanced AI approach

Jeju Island faces curtailment problems when renewable energy generation exceeds the facility capacity. In addition, the renewable energy system cannot achieve consistent operation because of the uncertainty of renewable energy sources (RES) and their complex spatiotemporal patterns. Climate change and extreme meteorological phenomena also affect the energy system of the island. Therefore, it is essential to maximize RES exploitation to accomplish carbon-free energy production. This study developed a rolling horizon optimization–based flexible renewable energy distribution planning (FxRE-Plan) based on an artificial intelligence-driven spatiotemporal RES prediction model. An adaptive graph convolutional recurrent network (AGCRN) was used to develop a spatiotemporal prediction model. Then, FxRE-Plan was determined using a multiobjective genetic algorithm to maximize the RES potential under climate change scenarios. The FxRE-Plan was evaluated and compared with the current operation of the electric grid in Jeju Island through economic, environmental cost, and climate change vulnerability assessment index. The results of this research show that the AGCRN–based spatiotemporal prediction model exhibited superior prediction performance, achieving a 95% R2. In addition, the FxRE-Plan reduced greenhouse gas emissions by approximately 11.5% at maximum and climate change vulnerability. Hence, the proposed FxRE-Plan can be used to solve curtailments in real electric grids by pursuing carbon-free islands.

The vernacularization of Paduan medicine and philosophy in the seventeenth century: Troilo Lancetta's Raccolta medica, et astrologica

AbstractIn 1645 Troilo Lancetta saw to the publication of a compilation of texts, Raccolta medica, et astrologica, under the anagrammatic and implausible pseudonym Lootri Nacattel. Most of these texts were translations into the Italian vernacular. They include writings by Girolamo Cardano; Hippocrates; Aristotle, and his commentators; Girolamo Fracastoro; Lancetta’s teacher, the philosopher Cesare Cremonini; and a handful of ancient Greek and Latin historians, in addition to excerpts from Lancetta’s medical writings. The presentation of the selected texts advances a set of polemics against the practice of bloodletting as a cure for fevers and against astrology, especially its use in medicine. The collection employs a range of authorities both classical and recent to bring anti‐Galenic and anti‐astrological teachings, already present in the University of Padua, to a broader readership. This transfer reinforced Lancetta’s identity as an erudite expert in philosophy and in medicine, an identity that he cultivated in other publishing endeavors, which included Latin editions of Cremonini’s psychological and dialectical writings. Lancetta’s Raccolta reflects a sophisticated employment of medical humanism, which used Aristotelian and Hippocratic texts to undermine interpretations of Galen and promoted Cremonini’s teachings about Meteorology as part of arguments about the subalternation of medicine to philosophy, the vanity of astrology, and the denial of the predictive power of prodigious meteorological phenomena.

Influence of particulate matter on air quality due to “Nortes” events in the Gulf of Mexico

The Gulf of Mexico is a region of great international importance, as well as the movement of ships that occur in it, with the port of Veracruz being the most important and currently being expanded. The objective of the study was to evaluate the impact of the particulate matter resulting from this expansion, considering the “Nortes” effect that occurs annually from September to May in the Gulf of Mexico. Four periods of “Nortes” were evaluated from 2017 to 2020 were evaluated, identifying 52 events to examine their influence on air quality. Using in situ meteorological parameters and the HYSPLIT model's cluster reanalysis database, 15 “Nortes” events were linked to measurements from the air quality monitoring station located at the port. The results reveal that “Nortes” events influence poor air quality due to particulate matter within a 30 by 30 km grid, as simulated by the CALPUFF dispersion model. This was attributed to particulate matter resuspension caused by wind speeds exceeding 11 m/s within an 8 km downwind from the expansion area. A concentration range of particulate matter of 60–70 μg/m3 was associated with the effect “Nortes” at the air quality monitoring station and the CALPUFF model. However, maximum concentrations ranged from 1,030 to 2,800 μg/m3 at different receptors, as indicated by the CALPUFF model. These findings underscore the importance of accounting for the impact of meteorological phenomena on air quality during the expansion and operation of ports around the world.

Response and resilience of karst subterranean estuary communities to precipitation impacts.

The impact of meteorological phenomena on ecosystem communities of karst subterranean estuaries (KSEs) remains unknown. KSEs are characterized by vertically stratified groundwater separated by a halocline and host endemic aquatic cave-adapted fauna (stygobionts). In October 2015, 8 days of heavy precipitation caused the first recorded mortality event in the KSE. This event was marked by a halocline shift 5 m deeper. The present study aimed to provide insights into resilience of KSEs faunal communities to temporal shifts in temperature and precipitation. Cave water temperature decreased on average 0.0068°C per mm of accumulated precipitation over 4 days, which can add up to, and surpass, the interannual temperature variation in cases of heavy precipitations. Biological surveys (2012-2021) conducted within cave systems El Aerolito and La Quebrada, in Cozumel, indicated that change in community structure was not detected and stygobionts were resilient; however, marine species inhabiting the caves were impacted. Overall, the faunal community at KSEs remains resilient within short-term meteorological phenomena despite shifts of non-stygobionts.

A Framework for Comparisons of Downburst Precursor Observations Using an All-Digital Phased-Array Weather Radar

Abstract Downbursts are rapidly evolving meteorological phenomena with numerous vertically oriented precursor signatures, and the temporal resolution and vertical sampling of the current NEXRAD system are too coarse to observe their evolution and precursor signatures properly. A future all-digital polarimetric phased-array weather radar (PAR) should be able to improve both temporal resolution and spatial sampling of the atmosphere to provide better observations of rapidly evolving hazards such as downbursts. Previous work has been focused on understanding the trade-offs associated with using various scanning techniques on stationary PARs; however, a rotating, polarimetric PAR (RPAR) is a more feasible and cost-effective candidate. Thus, understanding the trade-offs associated with using various scanning techniques on an RPAR is vital in learning how to best observe downbursts with such a system. This work develops a framework for analyzing the trade-offs associated with different scanning strategies in the observation of downbursts and their precursor signatures. A proof-of-concept analysis—which uses a Cloud Model 1 (CM1)-simulated downburst-producing thunderstorm—is also performed with both conventional and imaging scanning strategies in an adaptive scanning framework to show the potential value and feasibility of the framework. Preliminary results from the proof-of-concept analysis indicate that there is indeed a limit to the benefits of imaging as an update time speedup method. As imaging is used to achieve larger speedup factors, corresponding data degradation begins to hinder the observations of various precursor signatures.

Evaluating the effect of deposition conditions on the local wear resistance of cold sprayed stainless steel coatings

The useful service life of metallic structures is affected by the exposure to the meteorological phenomena. In this sense, the continuous impact of particles suspended in the atmosphere could produce microscratches on the surfaces of these components, generating several wear degradations. These damaged surfaces can be repaired in order to increase their service life, avoiding component replacement and reducing the environmental impact. Recently, coatings deposition by cold spray has been revealed as a promising strategy for repairing damaged components. Therefore, the main objective of this work is focused on the analysis of wear resistance against micro-scratching in metallic coatings. For this purpose, 316L stainless steel powders were deposited onto low carbon steel S355J2 by cold spray, varying the pressure and temperature of the propellant gas. Nanoindentation tests were carried out to determine hardness and elastic modulus. The wear rates and the friction coefficients were measured through microscratch tests using a Berkovich tip. The wear mechanisms were analysed evaluating the scratch grooves in the scanning electron microscope. Finally, the relationship between hardness and wear rate was determined.

ҚАЗАҚСТАННЫҢ ШЫҒЫСЫНДА АҢЫЗАҚТАРДЫҢ ТАРАЛУ ЕРЕКШЕЛІКТЕРІ

In the research work, the peculiarities of the spread of a meteorological phenomenon dangerous for agriculture – the dry wind in the territory of Eastern Kazakhstan are considered. To achieve this goal, on the basis of long-term data, favorable conditions for the dry wind and the number of days that have passed with the dry season were calculated. In addition, the features of the distribution of the main climatic indicators in the East Kazakhstan region were described. According to the results of the study, during the year favorable meteorological conditions for dry wind are formed in the period from April to November, and the phenomenon of dry wind occurs in May-September. According to the results of calculations, on average, during the warm period of the year in the east of Kazakhstan, the number of favorable conditions for dry wind reaches 60 days, and the number of cases with dry wind reaches 30 days. And in mountainous areas, where there is no shortage of humidity, dry wind is not observed (MS Markakolsky Reserve, Leninogorsk). The areas where the dry wind phenomenon is most often observed correspond to flat and low-mountainous areas with low relative humidity and high wind speed (MS Akzhar, Ayagoz). The results obtained during the research work can be used by specialists working in the field of agriculture, climate research and forecasting of dangerous agrometeorological phenomena.

Modelling the impact of trapped lee waves on offshore wind farm power output

Abstract. Mesoscale meteorological phenomena, including atmospheric gravity waves (AGWs) and including trapped lee waves (TLWs), can result from flow over topography or coastal transition in the presence of stable atmospheric stratification, particularly with strong capping inversions. Satellite images show that topographically forced TLWs frequently occur around near-coastal offshore wind farms. Yet current understanding of how they interact with individual turbines and whole farm energy output is limited. This parametric study investigates the potential impact of TLWs on a UK near-coastal offshore wind farm, Westermost Rough (WMR), resulting from westerly–southwesterly flow over topography in the southeast of England. Computational fluid dynamics (CFD) modelling (using Ansys CFX) of TLW situations based on real atmospheric conditions at WMR was used to better understand turbine level and whole wind farm performance in this parametric study based on real inflow conditions. These simulations indicated that TLWs have the potential to significantly alter the wind speeds experienced by and the resultant power output of individual turbines and the whole wind farm. The location of the wind farm in the TLW wave cycle was an important factor in determining the magnitude of TLW impacts, given the expected wavelength of the TLW. Where the TLW trough was coincident with the wind farm, the turbine wind speeds and power outputs were more substantially reduced compared with when the TLW peak was coincident with the location of the wind farm. These reductions were mediated by turbine wind speeds and wake losses being superimposed on the TLW. However, the same initial flow conditions interacting with topography under different atmospheric stability settings produce differing near-wind-farm flow. Factors influencing the flow within the wind farm under the different stability conditions include differing, hill and coastal transition recovery, wind farm blockage effects, and wake recovery. Determining how much of the differences in wind speed and power output in the wind farm resulted from the TLW is an area for future development.

Tactical Features of Operation of the Specialized Anti-Epidemic Team of the Rospotrebnadzor on the Territory of the Republic of Crimea under Conditions Characteristic of a Combined Emergency

The tactics of activities of the specialized anti-epidemic team (SAET) of the Rospotrebnadzor on the territory of the Republic of Crimea has been determined by the conditions of emergency situation of sanitary-epidemiological and natural character. The aim of the work was to analyze the features and effectiveness of the functional response of the Rospotrebnadzor SAET to the dynamics of epidemiological risks caused by emergency of combined nature in the Republic of Crimea in 2020–2021. Materials and methods. We used report materials of the Rospotrebnadzor SAET; information materials of the Interregional Rospotrebnadzor Administration in the Republic of Crimea and the Federal city of Sevastopol; “Coronavirus Monitor” service data. Results and discussion. Tactical decisions on the work of the SAET on the territory of the Republic of Crimea had the stage-by-stage nature. In the event of a complication of the epidemiological situation on the new coronavirus infection, a mobile group of the SAET was involved. Together with specialists from the Plague Control Station of the Republic of Crimea, it conducted 211 148 studies of clinical material to detect SARS-CoV-2 RNA using PCR during the period of 2020–2021. In response to the emergence of additional risks caused by the consequences of a dangerous meteorological phenomenon, the group of SAET specialists was reinforced and mobile complex (MС) of the SAET was deployed. During the entire course of work, a prolonged target rotation of personnel was implemented in order to provide for adequate laboratory support for monitoring upon epidemiological indications in accordance with the nature of emerging risks. That tactics of operation made it possible to conduct 18 591 screening studies of clinical material for acute respiratory viral infections (ARVI), natural-focal and acute intestinal infections (AII), as well as the study of 280 water samples for cholera. Introduction of the sequence of operational procedures adapted for work in emergency situations resulted in isolation of 10 Vibrio cholerae O1 ctxA–</sup tcpA–/em> strains from water bodies. The phased involvement of the mobile group of SAET specialists, and later the MC of the SAET, in combination with the consistent operational target rotation of personnel in order to provide adequate laboratory support for monitoring studies, determined the tactical features of the SAET functioning. Prompt investigation, substantiation of potential and response to realized (actual) epidemiological risks associated with the extraordinary situation made it possible to prevent complications of the epidemiological situation in the territory of the tourist cluster of the Russian Federation.

ANALYSIS OF THE FEATURES OF PROCESSING ALGORITHMS OF EXTERNAL TRAJECTOR INFORMATION RECEIVED OF THE MFTR-2100/40 RADAR SYSTEM

The peculiarities of processing measurement information received by the MFTR-2100/40 radar system as part of a mobile polygon measuring and computing complex are considered. After processing, the results of external trajectory measurements obtained using the radar channel are used to determine the parameters of samples of weapons and military equipment.
 The factors that worsen the process of measurement by the radar system are analyzed. Analyzed processing parameters in the WinTrack software, which can be interpreted ambiguously by the operator and lead to false results. Recommendations are provided for the use of the MFTR-2100/40 radar system, taking into account meteorological phenomena.
 The presented results will provide an opportunity for more qualitative and effective testing and certification of weapons and military equipment offered for supply to the Armed Forces of Ukraine.

Towards the Accurate Automatic Detection of Mesoscale Convective Systems in Remote Sensing Data: From Data Mining to Deep Learning Models and Their Applications

Mesoscale convective systems (MCSs) and associated hazardous meteorological phenomena cause considerable economic damage and even loss of lives in the mid-latitudes. The mechanisms behind the formation and intensification of MCSs are still not well understood due to limited observational data and inaccurate climate models. Improving the prediction and understanding of MCSs is a high-priority area in hydrometeorology. One may study MCSs either employing high-resolution atmospheric modeling or through the analysis of remote sensing images which are known to reflect some of the characteristics of MCSs, including high temperature gradients of cloud-top, specific spatial shapes of temperature patterns, etc. However, research on MCSs using remote sensing data is limited by inadequate (in size) databases of satellite-identified MCSs and poorly equipped automated tools for MCS identification and tracking. In this study, we present (a) the GeoAnnotateAssisted tool for fast and convenient visual identification of MCSs in satellite imagery, which is capable of providing AI-generated suggestions of MCS labels; (b) the Dataset of Mesoscale Convective Systems over the European Territory of Russia (DaMesCoS-ETR), which we created using this tool, and (c) the Deep Convolutional Neural Network for the Identification of Mesoscale Convective Systems (MesCoSNet), constructed following the RetinaNet architecture, which is capable of identifying MCSs in Meteosat MSG/SEVIRI data. We demonstrate that our neural network, optimized in terms of its hyperparameters, provides high MCS identification quality (mAP=0.75, true positive rate TPR=0.61) and a well-specified detection uncertainty (false alarm ratio FAR=0.36). Additionally, we demonstrate potential applications of the GeoAnnotateAssisted labelling tool, the DaMesCoS-ETR dataset, and the MesCoSNet neural network in addressing MCS research challenges. Specifically, we present the climatology of axisymmetric MCSs over the European territory of Russia from 2014 to 2020 during summer seasons (May to September), obtained using MesCoSNet with Meteosat MSG/SEVIRI data. The automated identification of MCSs by the MesCoSNet artificial neural network opens up new avenues for previously unattainable MCS research topics.

Weather as cinema

This article analyzes weather as enabler of, and able to make, cinematic art. I begin by exploring philosophies of weather and air, and then look at early films where meteoro-logical phenomena receive acute attention alongside related media analyses. Afterwards I analyze two artworks, by Madge Evers and Anna Scime. Each was made by mush-rooms sporifying on receptive media, respectively paper and analog film. This article includes original interviews with both artists.I identify fresh ways of understanding cinema but also weatherly and fungal creativity. Analyzing such artworks, I also think about how artists can develop art practices able to galvanize instead of eviscerate futurity. Consequently, I not only investigate more-than-human creativity, but explore how cinema can facilitate instead of block ecological heal-ing.

‘Meteorology’ and ‘meteors’ across centuries: a short history of two problematic terms

Abstract The article is dedicated to meaning variations and transformations in the terms meteorology and meteor from antiquity to the present. It is argued that the use of the word meteor as a noun denoting a specific meteorological phenomenon only became established in the Renaissance, as the Greek adjective μετέωρος ‘raised, aloft’ in the substantivized neuter form was originally used in the plural to denote objects in the high in a very general way and in the singular to denote an area, not an object. In the Middle Ages, in contrast, it was the Latin terms impressio or passio that were generally employed to denote meteorological phenomena. An emphasis is also placed on how the term meteorology was problematic in a way from the very beginning, rather than only today, when the term meteor has become more astronomical than meteorological in its first meaning, and efforts have been made to replace the name of the science with completely different terms.