Fast Processes in Large Scale Atmospheric Models: Progress, Challenges, and Opportunities

ISBN-13: 9781119528999 / Angielski / Twarda / 2023 / 350 str.

Leo Donner; Yangang Liu; Pavlos Kollias

Spis treści

Section I: GeneralChapter 1. Introduction to Large Scale Models, Fast Physics and ChallengesBy Yangang Liu, Leo Donner and Pavlos KolliasSection II: Processes and ParameterizationsChapter 2: Radiative transfer and atmospheric interactionsBy Kuo-Nan LiouChapter 3. Aerosols and aerosol direct effectsBy Susanna BauerChapter 4 Aerosol-cloud Interactions and their effects on climateBy Ming YiChapter 5. Cloud Microphysics and Interactions with turbulenceBy Hugh MorrisonChapter 6. Turbulent entrainment-mixing processesBy Chunsong LuChapter 7. Shallow convection and convective cloudsBy Minghua ZhangChapter 8. Deep convection and convective cloudsBy Leo DonnerChapter 9 Stratus and stratocumulus cloudsBy Robert WoodChapter 10. Planetary Boundary Layer and processesBy Adrian LockeChapter 11. Land Surface and Interactions with atmosphereBy Fei ChenChapter 12. Gravity wave drags in the atmosphereBy Yaga RichterSection III: Unifying EffortsChapter 13. Cloud-Resolving Models as Parameterization-Super-parameterizationBy David RandallChapter 14. Parameterizations based on assumed Probability Density FunctionBy Vince LarsonChapter 15. Eddy Diffusivity and Mass Flux (EDMF) approachBy Joao TeixeiraChapter 16. Subgrid variability and scale-aware parameterizationsBy Robin HoganChapter 17. Application of machine learning approach in parameterization developmentBy Mike PritchardChapter 18. Top-down view of subgrid processes and parameterization developmentBy Grahm FeingoldSection IV: Measurements, Model Evaluation and Model-Measurement IntegrationChapter 19: Surface-based remote sensing of key propertiesBy Pavlos KolliasChapter 20: Satellite remote sensing of key propertiesBy Anthony DavisChapter 21: In-situ and laboratory measurements of key propertiesBy Raymond ShawChapter 22. Frameworks for evaluating climate and weather forecasting modelsBy Roel NeggersChapter 23. Use of data assimilation for model evaluationBy Zhijin L

O autorze

Yangang Liu, Brookhaven National Laboratory, USA. Pavlos Kollias, Brookhaven National Laboratory and Stony Brook University, USA.