Showing 161 - 180 results of 201 for search '"Meteorology"', query time: 0.07s Refine Results
  1. 161

    Evaluation of Object-Based and Pixel-Based Technique for Extracting Snow Cover Surface Using Landsat 8 Satellite Images (Case Study Damavand Mountain Range) by Behnam Sedaghat, Ali Javadzade khiavi, Babak Naeim, Erfan Khajavi, Amir Reza Taghavi Khanghah

    Published 2023-12-01
    “…However, it poses challenges in mountainous areas due to limited accessibility, diverse topographic and physiographic features, and insufficient meteorological stations. To overcome these limitations, remote sensing, which offers multiple advantages like providing information at different scales, extensive coverage, and cost-effectiveness, is employed to assess various snow cover extraction methods in mountainous regions. …”
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    Article
  2. 162

    Analysis of Air Quality during the COVID-19 Pandemic Lockdown in Naples (Italy) by Alessia Sannino, Mariagrazia D’Emilio, Pasquale Castellano, Salvatore Amoruso, Antonella Boselli

    Published 2020-10-01
    “…The observed features have been associated to the strong meteorological interference from Saharan Dust in the Mediterranean area also affecting the city of Naples.…”
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  3. 163

    COVID-19 as a Factor Influencing Air Quality? A City Study in China by Chengming Li, Hui Shang, Zhihao Cui, Zhaoxin Dai, Zhaoting Ma

    Published 2021-05-01
    “…We also assessed the influence of meteorological factors and industrial exhaust emissions. …”
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  4. 164

    Drought Occurrence Pattern in Tigray Region, Northern Ethiopia by A.S. Tefera, J.O. Ayoade, N.J. Bello

    Published 2019-08-01
    “…In doing so, monthly climate data collected on selected stations, from the Dutch national weather service known as the Royal Netherlands Meteorological Institute (KNMI), was used to assess the drought trends and characterize the study area in terms of drought duration, severity, intensity, frequency, spatial extent as well as drought trend. …”
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  5. 165

    Shedding light on development: Leveraging the new nightlights data to measure economic progress. by Prachi Jhamb, Susana Ferreira, Patrick Stephens, Mekala Sundaram, Jonathan Wilson

    Published 2025-01-01
    “…Nightlights (NTL) have been widely used as a proxy for economic activity, despite known limitations in accuracy and comparability, particularly with outdated Defense Meteorological Satellite Program (DMSP) data. The emergence of newer and more precise Visible Infrared Imaging Radiometer Suite (VIIRS) data offers potential, yet challenges persist due to temporal and spatial disparities between the two datasets. …”
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  6. 166

    Analyses of the Spatial Pattern of Drought Risk in Tigray Region, Northern Ethiopia by A.S. Tefera, J.O. Ayoade, N.J. Bello

    Published 2019-08-01
    “… Drought risk index uses the meteorological drought hazard index and the socioeconomic drought vulnerability aspects to assess the level of drought risk in an area. …”
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  7. 167

    Dynamic Characteristics of Aerosol Optical Properties over Dibrugarh City in the North-Eastern Indian Region during 2018–2021 by Akshansha Chauhan, Shukla Acharjee, Ramesh P. Singh, Brent Holben

    Published 2023-03-01
    “…The impact of various sources and daily meteorological parameters help in understanding the diurnal variations of the AOD, Ångström Exponent (AE), and column water (CW). …”
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  8. 168

    Atmospheric Pollutants Assessment during the COVID-19 Lockdown Using Remote Sensing and Ground-based Measurements in Buenos Aires, Argentina by Natacha S. Represa, Lara S. Della Ceca, Gabriela Abril, María F. García Ferreyra, Carlos M. Scavuzzo

    Published 2020-11-01
    “…We examined the atmospheric emissions in Buenos Aires, Argentina, based on urban and industrial continuous monitoring of NO2, PM10 and PM2.5, and NO2 (TROPOMI/Sentinel-5p) and AOD (MAIAC/MODIS, Aqua) satellite products, in addition with meteorological data. We considered the time intervals before and after the announcement of lockdown, including the same periods for 2019. …”
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  9. 169

    Analysis of Non-linear Relationship of PM2.5 Mass Concentration with Aerosol Extinction Coefficient and RH in Hefei, China by Yinan Chen, Shiguo Zhang, Yonghua Wu, Kee Yuan, Jian Huang, Dongfeng Shi, Shunxing Hu

    Published 2023-10-01
    “…Abstract Optical remote sensing of PM2.5 concentration complements ground-based in situ sampler observations and depends on aerosol extinction-to-mass conversion and meteorological factors. Based on Mie scattering theory, we derived a non-linear analytical expression among the PM2.5 mass concentration, aerosol extinction coefficient, and hygroscopic factor. …”
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  10. 170

    Estimation of evaporation in Andalusian reservoirs: Proposal of an index for the assessment and classification of dams by Santiago García-López, Marcia Salazar-Rojas, Mercedes Vélez-Nicolás, Jorge. M.G.P. Isidoro, Verónica Ruiz-Ortiz

    Published 2025-04-01
    “…The monthly average flooded area was calculated from the Area-Volume-Elevation (AVE) curve, while monthly average evaporation rate was calculated through the FAO Penman-Monteith equation using meteorological data. The combination of both variables has allowed to estimate the mean monthly volume of water evaporated in each reservoir. …”
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  11. 171

    Impact of Wave COVID-19 Responses on Black Carbon Air Pollution in Moscow Megacity Background by Olga B. Popovicheva, Marina A. Chichaeva, Roman G. Kovach, Ekaterina Yu. Zhdanova, Victor M. Stepanenko, Alexander Varentsov, Nikolay S. Kasimov

    Published 2024-02-01
    “…Economic and population activities in conjunction with meteorological parameters and air mass transportation are evaluated by studying the variability and concentration levels of black carbon. …”
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  12. 172

    A comprehensive environmental index for monitoring ecological quality of typical alpine wetlands in Central Asia by Jiudan Zhang, Junli Li, Changming Zhu, Anming Bao, Amaury Frankl, Philippe De Maeyer, Tim Van de Voorde

    Published 2025-02-01
    “…Furthermore, the driving factors behind these changes were analyzed by combining meteorological precipitation data with human activities. …”
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  13. 173

    Assessments of the Emission Contributions from an Ultra-Supercritical Coal-Fired Power Plant to Ambient PM2.5 in Taiwan by Yi-Cheng Lin, Fang-Yi Cheng, Yi-Ju Lee, Thi-Thuy-Nghiem Nguyen, Chuen-Jinn Tsai, Huan-Cheng Wen, Cheng-Hung Wu, Wei-Chieh Chang, Chung-Chi Huang

    Published 2023-09-01
    “…Enhancing thermal efficiency can significantly reduce air pollutant emissions; however, its impact on ambient air pollutant concentrations under various meteorological conditions is rarely studied. To clarify the issue, we utilized the Community Multiscale Air Quality (CMAQ) model to estimate the contributions of the emissions from old and renovated LPP on the ambient PM2.5 concentrations in Taiwan. …”
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  14. 174

    Water Accounting and Productivity Analysis to Improve Water Savings of Nile River Basin, East Africa: From Accountability to Sustainability by Hirwa, Hubert, Zhang, Qiuying, Li, Fadong, Qiao, Yunfeng, Measho, Simon, Muhirwa, Fabien, Xu, Ning, Tian, Chao, Cheng, Hefa, Chen, Gang, Ngwijabagabo, Hyacinthe, Turyasingura, Benson, Itangishaka, Auguste Cesar

    Published 2023
    “…This study aims to evaluate the contributions of hydro meteorological factors to the changes of WA and CWP and subsequent WUE based on the data from 2009–2020 in the Nile River Basin (NRB), East Africa (EA). …”
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  15. 175

    Examining different approaches for short-term load demand forecasting in microgrid management: a case study of a university in Nigeria by Barnabas Iliya Gwaivangmin

    Published 2024-05-01
    “…Leveraging 6 years of historical load data from the Jos Electricity Distribution Company (JEDC) and weather data from the Nigerian Meteorological Agency (NIMET), the research demonstrated that both RG and ARIMA outperformed SVM, exhibiting lower Root Mean Squared Error (RMSE), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE) values. …”
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  16. 176

    Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model by Venkatachalam Mohanasundaram, Balamurugan Rangaswamy

    Published 2025-02-01
    “…The proposed method has been contrasted with conventional methods by applying a testing environment incorporating essential Meteorological Factors (MF) and historical SE datasets. …”
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  17. 177

    Comparison of PM2.5 Chemical Compositions during Haze and Non-haze Days in a Heavy Industrial City in North China by Menghui Li, Liping Wu, Xiangyan Zhang, Xinwu Wang, Wenyu Bai, Jing Ming, Chunmei Geng, Wen Yang

    Published 2020-05-01
    “…The haze episode was caused by a combination of unfavorable meteorological conditions, secondary formation, the accumulation of local pollutants, and peripheral transmission.…”
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  18. 178

    Gaseous Pollutants and Particulate Matter in Ambient Air: First Field Experiment in an Urban Mediterranean Area (Nador, Morocco) by Bouchra Oujidi, Abdelfettah Benchrif, Mounia Tahri, Fatiha Zahry, Moussa Bounakhla, Hocein Bazairi, Nadia Mhammdi, Maria Snoussi

    Published 2023-05-01
    “…Abstract Mediterranean urban areas are reportedly affected by poor air quality due to numerous emission sources, as well as topography and meteorological conditions that facilitate the accumulation of pollution. …”
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  19. 179

    Evaluating different drought products for assessing drought and implications on agriculture in Nepal by Shishir Chaulagain, Manoj Lamichhane, Urusha Chaulagain, Sushant Gyawali, Sadina Shrestha, Vishnu Prasad Pandey

    Published 2025-03-01
    “…By utilizing Soil Water Deficit Index (SWDI) alongside Standardized Precipitation Evapotranspiration Index (SPEI) and Standardized Flow Index (SFI), this research highlights the complex progression from meteorological to agricultural and hydrological droughts. …”
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  20. 180

    Catastrophic and violent tornadoes: a detailed review of physical-mathematical models by Sergey A. Arsen’yev, Lev V. Eppelbaum

    Published 2024-11-01
    “…When a gravity wave reaches a thunderstorm supercell that has already formed inside the atmospheric front, it is captured by the supercell because upward air movements destroy its inversion. As meteorological conditions adapt to weather conditions, the pressure within the thunderstorm cell decreases, and wind speed increases, resulting in a violent tornado. …”
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