The current dataset does not cover a wider range of atmospheric profiles or aerosol and cloud types

The gap

Evidence profile

Sourced from the limitations section and stated research gap and future-work section of the source papers, classified as general, drawn from work published between 2024 and 2026, spanning 3 journals. Those papers have been cited 6 times in total.

Supporting evidence — 4 representative gaps

• A new approach to crystal habit retrieval from far-infrared spectral radiance measurements (2024) · Atmospheric measurement techniques · cited 3× · doi

  The study is based on simulated data and does not include real-world measurements. The retrieval algorithm is limited to the specific cases studied and may not be applicable to all types of clouds and atmospheric conditions. The study assumes a uniform mixture of crystal habits, which may not be representative of real-world clouds. The surface spectral emissivity profile is extracted from a limited dataset and may not be accurate for all surfaces and conditions. The study does not account for other factors that may affect the Earth's radiation budget, such as aerosols and other atmospheric constituents.

  generallimitations section
  Keywords: study based simulated data does include real-world measurements
• Machine Learning-Based Atmospheric Radiation Calculation Incorporating Earth Curvature (2026) · Remote Sensing · doi

  The current dataset does not cover a wider range of atmospheric profiles or aerosol and cloud types. The model should not be applied directly to dust-dominated atmospheric conditions due to variability in particle size, mineral composition, absorption, and nonspherical scattering phase functions.

  generalstated research gapevidence 5/5
  Keywords: current dataset does cover wider range atmospheric profiles
• Machine Learning-Based Atmospheric Radiation Calculation Incorporating Earth Curvature (2026) · Remote Sensing · doi

  The dataset does not cover a wider range of atmospheric profiles or aerosol types; it is limited to specific configurations. Mineral dust is not included, which limits the applicability to dust-dominated atmospheric conditions. Only one idealized configuration of cirrus clouds was used in the study.

  generallimitations sectionevidence 5/5
  Keywords: dataset does cover wider range atmospheric profiles aerosol
• Impact of cloud vertical structure perturbations on the retrieval of cloud optical thickness and effective radius from FY4A/AGRI (2025) · Atmospheric chemistry and physics · cited 3× · doi

  Further research is needed to quantify the impact of cloud vertical structure on COT and CER retrievals in different regions and under various atmospheric conditions. Studies should investigate the effects of other factors, such as aerosol loading and surface albedo, on COT and CER retrievals. The development of more advanced retrieval algorithms that account for cloud vertical structure is necessary.

  generalfuture-work sectionevidence 5/5
  Keywords: further research needed quantify impact cloud vertical structure

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