In recent years, climate change and the intervention of anthropogenic activities have altered seasonal features Asian dust storms. This may also cause variations (including occurrence frequency optical/microphysical properties) in aerosols transported to downstream regions. The Jianghan Plain is dramatically influenced by multiple sources due its geographical location central China. this study,...

Kathmandu has one of the highest particulate matter air pollution levels in world. However, few direct measurement data are available for long-term analyses, limiting policy interventions and public health advisories. Remote sensing-based sets provide an alternative approach to address this issue. In paper, we present analyze understand diurnal, seasonal, annual, multi-annual variability based ...

Rainfall observation data from each rain station in an area is so important to measure the intensity of rainfall that region. The number stations are not ideal will affect process acquiring which primary required for regional mapping. This study uses manual technique and analysis satellite precipitation as alternative aid mapping annual with Isohyet method areas constrained by a shortage like N...

The impact of ports on urban areas’ decarbonization to reduce air and environmental pollution effects achieve sustainable development is undeniable, especially in the marine transportation sector. In this case, applied studies that can contribute existing knowledge increasing ports’ energy self-sufficiency using renewable sources (RESs) are critical necessary. study, firstly, (1) RESs assessmen...

Dust aerosol, one of the important light-absorbing impurities in snow and ice sheets Tibet Plateau (TP), can significantly affect magnitude timing melting glacier recession by altering surface albedo. It is thus great importance to understand potential source transport mechanism dust aerosol over TP. A typical storm case, erupted from Thar Desert (ThD) South Asia on 1 4 May 2018, was selected s...

Well validated simulation software and models are meant to add value through a more precise representation of different atmospheric features climate characteristics that physically out reach. In this work, comparison validation was carried using the Modern Era Retrospective Analysis for Research Applications (MERRA) averaged Angstrom Exponents (α) visibilities ten urban countries against simula...

This study provides a comprehensive overview of the temperature and zonal wind biases in eight reanalysis data products, with a focus on stratospheric levels. The study identifies biases in each reanalysis from the “reanalysis mean” (defined as the mean of the MERRA, ERA-Interim, and JRA-55 reanalyses). It then examines reanalysis temperature biases with respect to HIRDLS (an independent satell...