[HTML][HTML] Development and assessment of artificial neural network models for direct normal solar irradiance forecasting using operational numerical weather prediction …

S Pereira, P Canhoto, R Salgado - Energy and AI, 2024‏ - Elsevier
Accurate operational solar irradiance forecasts are crucial for better decision making by
solar energy system operators due to the variability of resource and energy demand …

Two-way coupled meteorology and air quality models in Asia: a systematic review and meta-analysis of impacts of aerosol feedbacks on meteorology and air quality

C Gao, A **u, X Zhang, Q Tong, H Zhao… - Atmospheric …, 2022‏ - acp.copernicus.org
Atmospheric aerosols can exert an influence on meteorology and air quality through aerosol–
radiation interaction (ARI) and aerosol–cloud interaction (ACI), and this two-way feedback …

Method for solar resource assessment using numerical weather prediction and artificial neural network models based on typical meteorological data: Application to the …

S Pereira, EFM Abreu, M Iakunin, A Cavaco, R Salgado… - Solar Energy, 2022‏ - Elsevier
In this work a method for regional solar resource assessment based on numerical weather
prediction (NWP) and artificial neural network (ANN) models is presented. The method was …

Investigation of June 2020 giant Saharan dust storm using remote sensing observations and model reanalysis

A Asutosh, V Vinoj, N Murukesh, R Ramisetty… - Scientific Reports, 2022‏ - nature.com
This paper investigates the characteristics and impact of a major Saharan dust storm during
June 14th–19th 2020 on atmospheric radiative and thermodynamics properties over the …

Assessment of two intense dust storm characteristics over Indo–Gangetic basin and their radiative impacts: a case study

S Tiwari, A Kumar, V Pratap, AK Singh - Atmospheric Research, 2019‏ - Elsevier
The present study is focused to examine the impacts of two intense dust storms on aerosol
characteristics and their radiative impacts occurred in pre-monsoon season of 2018 (ie 17 …

Spatial and seasonal variations in atmospheric aerosols over Nigeria: Assessment of influence of intertropical discontinuity movement

A Ayanlade, G Atai, MO Jegede - Journal of Ocean and …, 2019‏ - journals.sagepub.com
This study examines the influence of intertropical discontinuity movement on seasonality
and distribution of atmospheric aerosols over Nigeria, using remote sensing approach. The …

Investigating extracted total precipitable water vapor from Weather Research and Forecasting (WRF) model and MODIS measurements

H Hassanli, M Rahimzadegan - Journal of Atmospheric and Solar …, 2019‏ - Elsevier
Abstract Total Precipitable Water (TPW) vapor value in the earth's atmosphere and its
variations are of great importance in atmospheric and climatic studies. Among the most …

[HTML][HTML] Random Forest Model-Based Inversion of Aerosol Vertical Profiles in China Using Orbiting Carbon Observatory-2 Oxygen A-Band Observations

XQ Zhou, HL Liu, MZ Duan, B Chen, SL Zhang - Remote Sensing, 2024‏ - mdpi.com
Aerosol research is important for the protection of the ecological environment, the
improvement of air quality, and as a response to climate change. In this study, a random …

Transport of a severe dust storm from Middle East to Indian region and its impact on surrounding environment

S Budakoti, C Singh, A Choudhury - International Journal of …, 2023‏ - Springer
The present work focuses on the long-range transport of dust particles emanated after a
severe dust storm hit the Middle East during 18–22 March 2012. The effect of dust-induced …

Inferring fine-mode and coarse-mode aerosol complex refractive indices from AERONET inversion products over China

QX Chen, WX Shen, Y Yuan, M **e, HP Tan - Atmosphere, 2019‏ - mdpi.com
Detailed knowledge of the complex refractive indices (m) of fine-and coarse-mode aerosols
is important for enhancing understanding of the effect of atmospheric aerosol on climate …