4.7 Review

Ice-Nucleating Particles That Impact Clouds and Climate: Observational and Modeling Research Needs

期刊

REVIEWS OF GEOPHYSICS
卷 60, 期 2, 页码 -

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1029/2021RG000745

关键词

ice nucleation; ice nucleating particles; observation-model integration

资金

  1. U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research (BER)
  2. Early Career Research Program
  3. Atmospheric System Research (ASR) program
  4. Energy Exascale Earth System Model (E3SM) project
  5. ASR program [DE-SC0020098]
  6. Environmental Molecular Sciences Laboratory - U.S. DOE (BER) at Pacific Northwest National Laboratory
  7. Atmospheric Radiation Measurement Program [DE-SC0020006, DE-SC0021116]
  8. DOE [YDE-AC05-76RL01830]
  9. U.S. Department of Energy (DOE) [DE-SC0021116, DE-SC0020098, DE-SC0020006] Funding Source: U.S. Department of Energy (DOE)

向作者/读者索取更多资源

Atmospheric ice-nucleating particles play a critical role in precipitation formation and cloud radiative properties. However, our understanding of these particles is still limited. There is a need to bridge observations and models to improve the predictability of ice-nucleating particle abundance.
Atmospheric ice-nucleating particles (INPs) play a critical role in cloud freezing processes, with important implications for precipitation formation and cloud radiative properties, and thus for weather and climate. Additionally, INP emissions respond to changes in the Earth System and climate, for example, desertification, agricultural practices, and fires, and therefore may introduce climate feedbacks that are still poorly understood. As knowledge of the nature and origins of INPs has advanced, regional and global weather, climate, and Earth system models have increasingly begun to link cloud ice processes to model-simulated aerosol abundance and types. While these recent advances are exciting, coupling cloud processes to simulated aerosol also makes cloud physics simulations increasingly susceptible to uncertainties in simulation of INPs, which are still poorly constrained by observations. Advancing the predictability of INP abundance with reasonable spatiotemporal resolution will require an increased focus on research that bridges the measurement and modeling communities. This review summarizes the current state of knowledge and identifies critical knowledge gaps from both observational and modeling perspectives. In particular, we emphasize needs in two key areas: (a) observational closure between aerosol and INP quantities and (b) skillful simulation of INPs within existing weather and climate models. We discuss the state of knowledge on various INP particle types and briefly discuss the challenges faced in understanding the cloud impacts of INPs with present-day models. Finally, we identify priority research directions for both observations and models to improve understanding of INPs and their interactions with the Earth System.

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