Journal of Atmospheric Science Research

Journal Information
EISSN: 26305119
Total articles ≅ 87

Latest articles in this journal

Vlado Spiridonov, Mladjen Curic, Marija Grcic, Boro Jakimovski
Journal of Atmospheric Science Research, Volume 5; https://doi.org/10.30564/jasr.v5i4.5081

Abstract:
An attempt has been made in the present research to simulate a deadly flash-flood event over the City of Skopje, Macedonia on 6 August 2016. A cloud model ensemble forecast method is developed to simulate a super-cell storm's initiation and evolutionary features. Sounding data are generated using an ensemble approach, that utilizes a triple-nested WRF model. A three-dimensional (3-D) convective cloud model (CCM) with a very fine horizontal grid resolution of 250-m is initialized, using the initial representative sounding data, derived from the WRF 1-km forecast outputs. CCM is configured and run with an open lateral boundary conditions LBC, allowing explicit simulation of convective scale processes. This preliminary study showed that the ensemble approach has some advantages in the generation of the initial data and the model initialization. The applied method minimizes the uncertainties and provides a more qualitative-quantitative assessment of super-cell storm initiation, cell structure, evolutionary properties, and intensity. A high-resolution 3-D run is capable to resolve detailed aspects of convection, including high-intensity convective precipitation. The results are significant not only from the aspect of the cloud model's ability to provide a qualitative-quantitative assessment of intense precipitation but also for a deeper understanding of the essence of storm development, its vortex dynamics, and the meaning of micro-physical processes for the production and release of large amounts of precipitation that were the cause of the catastrophic flood in an urban area. After a series of experiments and verification, such a system could be a reliable tool in weather services for very short-range forecasting (nowcasting) and early warning of weather disasters.
Konstantinos Kourtidis, Ageliki Andrikopoulou
Journal of Atmospheric Science Research, Volume 5; https://doi.org/10.30564/jasr.v5i4.5121

Abstract:
Here the authors examine whether bell sounds can have an impact onambient aerosol levels and size distribution under atmospheric conditions.The authors present calculation results for acoustic coagulation by churchbell sounds for a range of ambient aerosol types. The results show thatfor orthokinetic sonic agglomeration, while the frequency spectrum ofchurch bells is ideal for causing coagulation of ambient aerosols, the soundpressure level (SPL) becomes too low for an effect. However, for verypolluted conditions, at extremely short distances from the bell dust aerosolscan readily undergo sonic coagulation.
Francis Olawale Abulude, Abigail Oluwakemi Feyisetan, Kikelomo Mabinuola Arifalo, Akinyinka Akinnusotu, Lateef Johnson Bello
Journal of Atmospheric Science Research, Volume 5; https://doi.org/10.30564/jasr.v5i4.5104

Abstract:
Indoor air pollution in buildings puts people at risk of developing respiratoryand cardiovascular diseases. Particulate matter (PM) exposure is known tocause these health issues. Preliminary efforts were made in this study to assessthe quantity and quality of PM1.0, PM2.5, and PM10 present in an abattoir and aresidential building in northern Nigeria. Canree A1 low-cost sensor was used tomonitor the locations, 8 hourly for two weeks. The results showed that the average values (μg/m3 ) of PM1.0, PM2.5, and PM10 in an abattoir were 62.74, 161.94, and 199.08, respectively, and in a residential building were 28.70, 83.31, and 103.71. The average Air Quality Index (AQI) of the abattoir office was VeryUnhealthy, while the living room of the residential building was unhealthy. ThePM2.5, and PM10 levels were higher than the international (WHO) and national(FMEnv) standard limits, indicating a potential danger to building occupants.It is expected that the indoor environment of the locations will be improved bythe use of good ventilators (adequate windows and doors) and the provision ofgood extractors
Aditi Singh, R. S. Maheskumar, Gopal R. Iyengar
Journal of Atmospheric Science Research, Volume 5; https://doi.org/10.30564/jasr.v5i4.5068

Abstract:
An attempt has been made in the present study to forecast fog with adiagnostic method using the outputs of global NWP model. The diagnosticmethod is based on the combination of thresholds of meteorologicalvariables involved in fog formation. The thresholds are computed usingthe observations during fog. These thresholds are applied to the output of aglobal NWP model for forecasting fog. The occurrence of fog is a commonphenomenon during winter season over the northern plains of India. Thediagnostic method is used to predict fog occurrences over three stations innorth India. The proposed method is able to predict both occurrences andnon-occurrences of fog at all the three stations. It is found that 94% of thefog events forecasted by the model using the diagnostic method have beenactually observed at the selected stations. The performance of method inpredicting fog is found best over Delhi with the highest accuracy (0.61) andprobability of detection (0.60). The study signifies that diagnostic approachbased on the output of a global model is a useful tool for predicting fogover a single location.
Jully Odhiambo Ouma, Dereje Wakjira, Ahmed Amdihun, Eva Nyaga, Franklin Opijah, John Muthama, Viola Otieno, Eugene Kayijamahe, Solomon Munywa, Guleid Artan
Journal of Atmospheric Science Research, Volume 5, pp 1-9; https://doi.org/10.30564/jasr.v5i4.4809

Abstract:
Rangelands dominate arid and semi-arid lands of the Greater Horn ofAfrica (GHA) region, whereby pastoralism being the primary source oflivelihood. The pastoral livelihood is affected by the seasonal variabilityof pasture and water resources. This research sought to design a grid-basedforage monitoring and prediction model for the cross-border areas of theGHA region. A technique known as Geographically Weighted Regressionwas used in developing the model with monthly rainfall, temperature,soil moisture, and the Normalized Difference Vegetation Index (NDVI).Rainfall and soil moisture had a high correlation with NDVI, and thusformed the model development parameters. The model performed wellin predicting the available forage biomass at each grid-cell with March-May and October-December seasons depicting a similar pattern but witha different magnitude in ton/ha. The output is critical for actionable earlywarning over the GHA region’s rangeland areas. It is expected that thismode can be used operationally for forage monitoring and prediction overthe eastern Africa region and further guide the regional, national, sub-national actors and policymakers on issuing advisories before the season.
Elena S. Andreeva, Sergey S. Andreev, Anna A. Parshina
Journal of Atmospheric Science Research, Volume 5; https://doi.org/10.30564/jasr.v5i3.4845

Abstract:
The article is devoted to the discussion of the advantages of assessing the environmental comfort of the climate, based on the natural features of the climate and the bioclimatic conditions of the territory. The study assessed the ecological comfort of the climate in the city of Taganrog on the basis of the developed original sequence of performing three stages of assessing the totality of bioclimatic indicators with the final calculation of the values of the integral indicator of the bioclimatic comfort of the climate. The results of the assessment showed, according to the average long-term climatic data, the presence of sub-comfortable climates with a tendency to transition to comfortable climate conditions in the warm period of the year. The cold season was distinguished by uncomfortable conditions according to long-term average climatic data. Modeling calculations of the possible risk to the health of city residents in the presence of concentrations of suspended solids in the surface air layer, together with carbon monoxide, exceeding the maximum one-time values by more than 7 times, showed that the development of possible resorptive or carcinogenic effects in these circumstances will occur in 1/3 the population of the city. The prospects for the assessment of the ecological comfort of the climate, which allow in the future to adequately calculate the magnitude of environmental risks to public health caused by pollution of the surface air layer, are shown.
, Nikita Vinogradov, Evgenii Baksht, Dmitry Sorokin
Journal of Atmospheric Science Research, Volume 5; https://doi.org/10.30564/jasr.v5i3.4858

Abstract:
Over the past three decades, research of high-altitude atmospheric discharges has received a lot of attention. This paper presents the results of experimental modeling of red sprites during a discharge in low-pressure air. To initiate ionization waves in a quartz tube, an electrodeless pulseperiodic discharge fed by microsecond voltage pulses with an amplitude of a few kilovolts and a repetition rate of tens of kHz were formed. In this case ionization waves (streamers) have a length of tens of centimeters. The main plasma parameters were measured at various distances along the tube. The measurements confirm the fact that ionization waves propagate in opposite directions from the zone of the main electrodeless discharge, just as it happens during the formation of red sprites.
Victor Adjei, Elijah Foh Amaning, Isaac Tettey Adjokatse
Journal of Atmospheric Science Research, Volume 5; https://doi.org/10.30564/jasr.v5i3.4778

Abstract:
For the past few decades, illegal mining sector in Ghana popularly known as galamsey has received public outcry due to its negative impacts on quantity and quality of water resources. The purpose of this study was to explore the combined effects of mining in water bodies and climate change on water resources in Ghana. The methodology explored in the study was quantitative approach. The quality and quantity of most water bodies in Ghana had been compromised due to extraction of minerals, and such contaminants (heavy metals) include mercury, zinc, cyanide, sulphur etc. This phenomenon had made most water resources (e.g. River Fena, River Pra) unwholesome or inhabitable. Apart from this, climate change had also dried up some streams and rivers such as Anyinam, Offin and Goa. These unfortunate events had made water resources precarious which could spike water scarcity in the country in the near future. This paper, therefore, commends that stringent measures are to be taken to protect water bodies in the country as a menace of climate will continue to get worse.
Kuldeep Srivastava
Journal of Atmospheric Science Research, Volume 5; https://doi.org/10.30564/jasr.v5i3.4769

Abstract:
Regional Weather Forecasting Centre (RWFC) New Delhi has the responsibility to issue and disseminate rainfall forecast for Delhi. So it is very important to scientifically verify the rainfall forecast issued by RWFC. In this study rainfall forecast verification of Delhi has been carried out annually and season wise for the period 2011 to 2021. Various statistical parameters such as Percentage Correct (PC), Probability of Detection (POD), Missing Ratio (MR), False Alarm Ratio (FAR), Critical Success Index (CSI), True Skill Statistics (TSS) and Heidke Skill Score (HSS) have been calculated for season wise and annually. A forecast is considered to be improved if PC, POD, CSI, TSS and HSS increase and FAR and MR decrease over a period of time. The author can conclude that annual accuracy of forecast has increased significantly over the period of time from 2011 to 2021, as PC, POD, CSI, TSS and HSS increase and FAR and MR decrease over a period of time. Maximum contribution in the improved forecast has observed in transition season (pre-monsoon season followed by post-monsoon, having rainfall activity mainly in association with thunderstorms), when FAR and MR have decreased drastically.
Peter Mazurkin
Journal of Atmospheric Science Research, Volume 5; https://doi.org/10.30564/jasr.v5i3.4674

Abstract:
The regularities of the dynamics of the average annual temperature of Berlin from 1701 to 2021 are revealed. A total of 65 wavelets were received. The temperature has a high quantum certainty, and the change in the average annual temperature of Berlin was identified by a model that contains only two components for prediction. The basis of the forecast at 320 years makes it possible to look into the future until the year 2340. The forecast confirms the conclusions made in the CMIP5 report on global warming. With an increase in the number of components in the model up to five, the forecast is possible only until 2060. Therefore, the model with only two components is workable. The trend is characterized by a modified Mandelbrot equation showing exponential growth with a high growth rate of 1.47421. The wave equation also has an amplitude in the form of the Mandelbrot law (in mathematics, the Laplace law, in biology, the Zipf-Pearl law, in econometrics, the Pareto law), when the exponential growth activity is equal to 1. For 1701, the period of oscillation was 2× 60.33333 ≈ 120.7 years. By 2021, the period decreased and became equal to 87.6 years. The trend is such that by 2340 the period of oscillation will decrease to 30.2 years. Such an increase in fluctuations indicates an imbalance in climate disturbances in temperature in Berlin. For Berlin, the last three years are characterized by sharp decreases in the average annual temperature from 11.8 °C to 10.5 °C, i.e. by 12.4% in 2021. Therefore, the forecast is still unstable, as a further decrease in the average annual temperature of Berlin in the near future may change the picture of the forecast.
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