Radiative Transfer Processes in Weather and Climate Models (inbunden)
Fler böcker inom
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
300
Utgivningsdatum
2021-01-20
Förlag
Wiley-VCH Verlag GmbH
ISBN
9783527412273

Radiative Transfer Processes in Weather and Climate Models

av Xianglei Huang, Ping Yang
Inbunden,  Engelska, 2021-01-20

Slutsåld

In the first book dedicated to this topic, the authors review the development of fast radiation schemes suitable for large-scale atmospheric models, including numerical weather forecast models and atmospheric general circulation models for climate studies. The text provides readers with the background and evolution of these models, offering a practical guide for real hands-on experience for implementing and modifying their own weather and climate models, such as the consideration of radiative transfer schemes in numerical weather prediction and the radiation budget in climate modeling. In addition, radiation transfer in other modules of the climate system models is explained, such as in land surface and in ocean and sea ice models. The authors present a balanced emphasis on the science and technical aspects of the problem, keeping the description of each modeling center brief and specific to its own particular model, with little articulation and explanations of the scientific merits and links to radiation schemes used in other models. A useful tool for both graduate students and experienced researchers.
Visa hela texten

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av författarna

Övrig information

Dr. Xianglei Huang is an Assistant Professor in the Department of Atmospheric, Oceanic, and Space Sciences at the University of Michigan. Dr. Huang obtained his Ph.D. degree in Planetary Science from Caltech. His research focuses on the radiative transfer in the atmosphere as well as its applications in satellite remote sensing and climate studies. He works on both the technical aspects of the advanced satellite observation and the diagnosis analysis of clouds and water vapors in the atmosphere with satellite observations and numerical simulations. He is a science team member of the NASA AIRS, the NASA CERES and NASA CLARREO mission. Dr. Ping Yang is a professor and the holder of the David Bullock Harris Chair in Geosciences, the Department of Atmospheric Sciences, Texas A&M University, USA. His research interests cover the areas of remote sensing and radiative transfer. He has been actively conducting research in the modeling of the optical and radiative properties of clouds and aerosols, in particular cirrus clouds, and their applications to space-borne and ground-based remote sensing. Professor Yang was elected a fellow of the Optical Society of America (OSA) in 2010.

Innehållsförteckning

OVERVIEW AND INTRODUCTION Numerical Modeling of Atmospheres The Roles of Radiative Transfer in Numerical Weather Prediction and Climate Simulation Representing Radiative Transfer Processes in the Numerical Models A Brief History of Radiation Schemes Developed for Numerical Models Benchmark and Validation Research Fronts and Challenges e.g. Technical Fronts, GPU, Peta-Scale Computing. Challanges full Consistency with other Schemes, Computing Efficiency, 3-D Effects of Surface and Couds PARAMETERIZATIONS OF GASEOUS ABSORPTIONS Broadband Emittance Model Correlated-K Approach Overlapping Absorption Bands Continuum Absorption Other Approaches PARAMETERIZATIONS OF THE OPTICAL PROPERTIES OF PARTICULATES IN THE ATMOSPHERE Liquid Clouds Ice Clouds Aerosols TREATMENTS OF SCATTERING AND INHOMOGENEOUS CLOUDS Shortwave Longwave Cloud Overlap Assumptions APPLICATIONS IN NUMERICAL WEATHER PREDICTION (NWP) Satellite Radiance Observations and Data Assimiliation Consideration of Radiative Transfer Scheme for the NWP Radiative Transfer Operator for the Data Assimilation APPLICATIONS IN CLIMATE MODELING Radiation Budget Constraints on Vertical Temperature Profiles and Meridional Structures Radiative Forcing Radiative Feedback Modeling of Other Planetary Atmospheres APPENDICES

Du kanske gillar