68 citations as recorded by crossref.

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13. Aerosol Layering in the Free Troposphere over the Industrial City of Raciborz in Southwest Poland and Its Influence on Surface UV Radiation A. Fernandes et al. https://doi.org/10.3390/atmos12070812
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20. Analysis of the Spatiotemporal Characteristics of High Concentrator Photovoltaics Energy Yield and Performance Ratio J. Ruiz-Arias et al. https://doi.org/10.1109/JPHOTOV.2016.2623089
21. High-resolution assessment of solar energy resources over the Arabian Peninsula H. Dasari et al. https://doi.org/10.1016/j.apenergy.2019.04.105
22. Climate-specific and global validation of MODIS Aqua and Terra aerosol optical depth at 452 AERONET stations J. Bright & C. Gueymard https://doi.org/10.1016/j.solener.2019.03.043
23. Improving Clear-Sky Solar Power Prediction over China by Assimilating Himawari-8 Aerosol Optical Depth with WRF-Chem-Solar S. Wang et al. https://doi.org/10.3390/rs14194990
24. Air pollution mitigation can reduce the brightness of the night sky in and near cities M. Kocifaj & J. Barentine https://doi.org/10.1038/s41598-021-94241-1
25. Single Scattering Albedo’s Spectral Dependence Effect on UV Irradiance I. Raptis et al. https://doi.org/10.3390/atmos9090364
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27. Mesoscale Simulations of Australian Direct Normal Irradiance, Featuring an Extreme Dust Event S. Mukkavilli et al. https://doi.org/10.1175/JAMC-D-17-0091.1
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29. Sensitivity analysis of an XCO2 retrieval algorithm for high-resolution short-wave infrared spectra P. Rong et al. https://doi.org/10.1016/j.ijleo.2020.164502
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31. Validation of global irradiance derived from INSAT-3D over India H. Kamath & J. Srinivasan https://doi.org/10.1016/j.solener.2020.03.084
32. Influences of Cloud Microphysics on the Components of Solar Irradiance in the WRF-Solar Model X. Zhou et al. https://doi.org/10.3390/atmos15010039
33. Impact of Aerosols on NPP in Basins: Case Study of WRF−Solar in the Jinghe River Basin Y. Fu et al. https://doi.org/10.3390/rs15071908
34. Evaluation of weather research forecasting-solar radiation schemes for solar power forecasting in equatorial Africa D. Mwigereri et al. https://doi.org/10.1016/j.egyr.2025.04.004
35. Smoke from 2020 United States wildfires responsible for substantial solar energy forecast errors T. Juliano et al. https://doi.org/10.1088/1748-9326/ac5143
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37. Evaluation of the WRF-solar model for 72-hour ahead forecasts of global horizontal irradiance in West Africa: A case study for Ghana W. Sawadogo et al. https://doi.org/10.1016/j.solener.2024.112413
38. Assessment of biomass burning smoke influence on environmental conditions for multiyear tornado outbreaks by combining aerosol‐aware microphysics and fire emission constraints P. Saide et al. https://doi.org/10.1002/2016JD025056
39. Assessment of the WRF Model as a Guidance Tool Into Cloud Seeding Operations in the United Arab Emirates R. Fonseca et al. https://doi.org/10.1029/2022EA002269
40. On the Assessment of a Numerical Weather Prediction Model for Solar Photovoltaic Power Forecasts in Cities H. Gamarro et al. https://doi.org/10.1115/1.4042972
41. Solar irradiance modelling using an offline coupling procedure for the Weather Research and Forecasting (WRF) model R. Pereira et al. https://doi.org/10.1016/j.solener.2019.06.020
42. Assessing the Surface Solar Radiation Budget in the WRF Model: A Spatiotemporal Analysis of the Bias and Its Causes J. Ruiz-Arias et al. https://doi.org/10.1175/MWR-D-15-0262.1
43. Assessing aerosol effects on solar irradiance in the NEOM region with the WRF-solar model D. Choudhury https://doi.org/10.1007/s42865-025-00105-1
44. Validation of direct normal irradiance predictions under arid conditions: A review of radiative models and their turbidity-dependent performance C. Gueymard & J. Ruiz-Arias https://doi.org/10.1016/j.rser.2015.01.065
45. Investigating the role of aerosol wet scavenging on global horizontal irradiance simulation in the WRF-Chem-solar model S. Wang et al. https://doi.org/10.1016/j.apenergy.2025.126062
46. Dissecting surface clear sky irradiance bias in numerical weather prediction: Application and corrections to the New Goddard Shortwave Scheme X. Zhong et al. https://doi.org/10.1016/j.solener.2016.03.009
47. The Role of Unresolved Clouds on Short-Range Global Horizontal Irradiance Predictability P. Jiménez et al. https://doi.org/10.1175/MWR-D-16-0104.1
48. Machine learning-based sensitivity of solar radiation forecasts to cloud-related parameters in WRF-Solar J. Yoon et al. https://doi.org/10.1016/j.solener.2026.114570
49. Assessing the WRF-Solar Model Performance Using Satellite-Derived Irradiance from the National Solar Radiation Database P. Jiménez et al. https://doi.org/10.1175/JAMC-D-21-0090.1
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51. WRF-Solar: Description and Clear-Sky Assessment of an Augmented NWP Model for Solar Power Prediction P. Jimenez et al. https://doi.org/10.1175/BAMS-D-14-00279.1
52. Using GEOS-5 forecast products to represent aerosol optical depth in operational day-ahead solar irradiance forecasts for the southwest United States P. Bunn et al. https://doi.org/10.1063/5.0020785
53. A new approach to forecast solar irradiances using WRF and libRadtran models, validated with MERRA-2 reanalysis data and pyranometer measures A. Razagui et al. https://doi.org/10.1016/j.solener.2021.04.024
54. Short-term forecasts of GHI and DNI for solar energy systems operation: assessment of the ECMWF integrated forecasting system in southern Portugal F. Lopes et al. https://doi.org/10.1016/j.solener.2018.05.039
55. Assessing the impact of aerosol optical depth on solar radiation forecasts using WRF-Solar over South Korea J. Yoon et al. https://doi.org/10.1016/j.renene.2026.125511
56. Impact of Biomass Burning Aerosols on the Diurnal Cycle of Convective Clouds and Precipitation Over a Tropical Island A. Hodzic & J. Duvel https://doi.org/10.1002/2017JD027521
57. Contribution of future urbanization to summer regional warming in the Pearl River Delta H. Chen et al. https://doi.org/10.1016/j.uclim.2023.101476
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60. Do spaceborne aerosol observations limit the accuracy of modeled surface solar irradiance? J. Ruiz‐Arias et al. https://doi.org/10.1002/2014GL062309
61. A Postprocessing Methodology for Direct Normal Irradiance Forecasting Using Cloud Information and Aerosol Load Forecasts J. Casado-Rubio et al. https://doi.org/10.1175/JAMC-D-16-0297.1
62. Impacts of 2019–20 Australian bushfires on solar photovoltaic generation using high-resolution simulations A. Isaza et al. https://doi.org/10.1016/j.solener.2024.113025
63. Levelised cost of electricity in high concentrated photovoltaic grid connected systems: Spatial analysis of Spain D. Talavera et al. https://doi.org/10.1016/j.apenergy.2015.04.072
64. Solar Irradiance Nowcasting Case Studies near Sacramento J. Lee et al. https://doi.org/10.1175/JAMC-D-16-0183.1
65. A multi-model benchmarking of direct and global clear-sky solar irradiance predictions at arid sites using a reference physical radiative transfer model J. Ruiz-Arias & C. Gueymard https://doi.org/10.1016/j.solener.2018.06.048
66. Assessment of Simulated Solar Irradiance on Days of High Intermittency Using WRF-Solar A. Prasad & M. Kay https://doi.org/10.3390/en13020385
67. Numerical prediction of solar radiation in South Korea: assessment of WRF-Solar and WRF J. Yoon et al. https://doi.org/10.1016/j.ecmx.2025.101253
68. Representation of aerosol optical properties using a chemistry transport model to improve solar irradiance modelling K. Sartelet et al. https://doi.org/10.1016/j.solener.2018.10.017