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Open research questions in Atmospheric aerosols and clouds

252 unresolved questions extracted from the limitations and future-work sections of 712 Atmospheric aerosols and clouds papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • Ground-based radiation observations remain spatially sparse and unevenly distributed, particularly over western China and complex-terrain regions - The study only uses data from the China Meteorological Administration (CMA) radiation network - The correction model only incorporates physically relevant predictors from ERA5 and CAMS

    Physics-Guided Machine-Learning Correction of ERA5 Surface Downward Shortwave Radiation over China · 2026 · DOI

  • ERA5 SDSR estimates over China are uncertain due to complex topographic and climatic conditions. The existing correction methods do not fully address the nonlinear structural bias in ERA5 SDSR estimates.

    Physics-Guided Machine-Learning Correction of ERA5 Surface Downward Shortwave Radiation over China · 2026 · DOI

  • The study focuses on media for which the SE equations have an analytic solution, - The analysis is limited to the polychromatic stationary radiative transfer equation, - The permutation operators are not relevant to the spectral analysis

    Analysis of Eigenvalue Clustering Leads to Optimal Scaling in Numerical Radiative Transfer · 2026 · DOI

  • Investigating the application of the spectral framework to other types of radiative transfer problems, - Exploring the use of preconditioners in Krylov solution strategies

    Analysis of Eigenvalue Clustering Leads to Optimal Scaling in Numerical Radiative Transfer · 2026 · DOI

  • There is a lack of high-quality global measurements of clouds and aerosols. The interactions between clouds and aerosols remain a major source of uncertainty in climate projections.

    Validation of cloud macrophysical properties from the ATLID Level 2a products A-TC, A-FM, A-CTH using airborne lidar observations during the HALO missions PERCUSION, ASCCI and NAWDIC · 2026 · DOI

  • Uncertainties in radiative transfer modelling, - Uncertainties in solar power potential modelling, - Limited to four severe dust events across multiple sites in the broader Mediterranean Basin, - The use of AE at specific wavelength bands adds more uncertainty in the parameterization of AOD

    Dust radiative effects and impact on energy production over the Mediterranean Basin · 2026 · DOI

  • Further study on the impact of dust on solar energy systems, - Investigation of the effects of different dust optical properties on solar radiation and solar energy, - Development of more accurate models for predicting dust-induced attenuation

    Dust radiative effects and impact on energy production over the Mediterranean Basin · 2026 · DOI

  • the study focuses on a specific region (Delhi) and time period (October 2023–January 2024) - the model simulations are limited to clear-sky conditions - the study does not account for other factors that may impact aerosol–radiation interactions

    Improving aerosol–radiation interactions in the operational forecasting system – AIRWISE · 2026 · DOI

  • further research is needed to evaluate the impacts of modified optical properties of aerosols on meteorological and aerosol-related parameters - investigation of the effects of different shortwave radiation parameterization schemes on SWDOWN simulations - exploration of the application of the updated RIs to other regions and time periods

    Improving aerosol–radiation interactions in the operational forecasting system – AIRWISE · 2026 · DOI

  • However, the statistical responses of vegetation productivity to dynamic changes in atmospheric aerosols, particularly their potential asymmetric characteristics, remain insufficiently understood.

    Diminishing aerosol-related compensation of vegetation productivity across China: asymmetric responses of AGC, LAI, NPP, and GPP from 2002 to 2020 · 2026 · DOI

  • However, despite the availability of near-coincident observations of the same atmospheric state, the synergy between the whole set of acquired information is still largely underexplored.

    Combining Passive Infrared and Microwave Satellite Observations to Investigate Cloud Microphysical Properties: A Review · 2025 · DOI

  • The fate of these clouds (as well as many of their observable properties) is dictated by the competition between turbulence and radiative cooling; however, turbulence in these multiphase flows remains poorly understood.

    Taming the TuRMoiL: The Temperature Dependence of Turbulence in Cloud–Wind Interactions · 2024 · DOI

  • Yet a robust understanding of its recent changes and future projection remains unclear.

    Arctic amplification–induced decline in West and South Asia dust warrants stronger antidesertification toward carbon neutrality · 2024 · DOI

  • Currently, the limited data length and high uncertainty of the satellite-based data diminish the applicability of fAOD for climate research.

    Deep Learning with Pretrained Framework Unleashes the Power of Satellite-Based Global Fine-Mode Aerosol Retrieval · 2024 · DOI

  • Many research data products have been produced by the science community using TEMPO data, suggesting the need for standardization and comprehensive evaluation of these community-generated products.

    A New Era of Air Quality Monitoring from Space over North America with TEMPO:Mission Status from Early Years in Orbit · 2026 · DOI

  • Development of better pollution control strategies using TEMPO NRT data products is an ongoing effort that requires continued research and implementation.

    A New Era of Air Quality Monitoring from Space over North America with TEMPO:Mission Status from Early Years in Orbit · 2026 · DOI

  • The relatively coarse spatial resolution of hyperspectral geostationary sensors limits their ability to resolve fine-scale spatial heterogeneity in air pollution. The trade-off between spectral fidelity and spatial resolution remains a fundamental limitation of single-sensor satellite-based air quality monitoring.

    Deep learning-based super-resolution of GEMS hyperspectral data using GOCI-II fusion: Advancing high-resolution air quality monitoring · 2026 · DOI

  • The study validates against original GEMS L1C data, but the practical implementation and robustness of the fusion approach across different seasons and atmospheric aerosol loading scenarios needs additional exploration.

    Deep learning-based super-resolution of GEMS hyperspectral data using GOCI-II fusion: Advancing high-resolution air quality monitoring · 2026 · DOI

  • There is a pressing need to quantitatively resolve the complex process of aerosol-cloud-precipitation interaction. Significant uncertainties remain regarding the modulating role of dust aerosols within the aerosol-cloud-precipitation interaction system.

    Response of extreme precipitation to dust aerosols in the Tarim Basin over the past 50 years · 2026 · DOI

  • There is a need to assess the spatiotemporal evolution of dust emissions, deposition, and associated radiative effects in Central Asia. There is a need to project future trends based on multiple scenarios. There is a need to evaluate the impact of climate policy on dust emissions.

    Assessment and prediction of dust emissions, deposition and radiation forcing in Central Asia · 2026 · DOI

  • SBDART simulations rely on a limited set of sparsely distributed ground-based observational sites in Central Asia that capture only local responses at typical sites rather than spatially averaged effects across the entire region.

    Assessment and prediction of dust emissions, deposition and radiation forcing in Central Asia · 2026 · DOI

  • The study identifies a gap in the representation of cloud processes in models. The gap is related to the uncertainty in model estimates of the radiative forcing from aerosol-cloud interactions. The study aims to address and reduce this uncertainty.

    Evaluating simulations of ship tracks in a km-scale model · 2026 · DOI

  • In precipitating environments, the model either overestimates the sensitivity of precipitation suppression to aerosol, misrepresents background precipitating conditions, or does not sufficiently remove aerosol from cloud.

    Evaluating simulations of ship tracks in a km-scale model · 2026 · DOI

  • CAMS and MERRA2 reanalysis products show distinct time evolutions of sulphate AOD and mass concentration, reflecting substantial observational uncertainty in aerosol measurements and trends.

    Emerging low-cloud feedback and adjustment in global satellite observations · 2026 · DOI

  • While HadGEM3 provides confidence in the EIS trend range, the model may misrepresent aspects of the physics relevant to the EIS trend, indicating potential model limitations in capturing atmospheric processes.

    Emerging low-cloud feedback and adjustment in global satellite observations · 2026 · DOI

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252 open questions have been extracted from the limitations and future-work passages of 712 Atmospheric aerosols and clouds papers in our library. Each one below links back to the study that raised it, so you can read the original claim in context.

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