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Type of Document Thesis Author Kablick III, George P. URN etd-07142008-111858 Title Third Intercomparison of Radiation Codes in Climate Models: Longwave Cloudy Sky Benchmarks and Comparisons with Approximate Methods Degree Master of Science Department Meteorology, Department of Advisory Committee
Advisor Name Title Robert Ellingson Committee Chair Guosheng Liu Committee Member Ming Cai Committee Member Keywords
- Inhomogeneous Clouds
- Climate Model Radiation
- Cloud Radiation
- Radiative Transfer
Date of Defense 2008-07-08 Availability unrestricted Abstract As a continuation to the shortwave phase of the third Intercomparison of Radiation Codes in Climate Models (ICRCCM III) by Barker et al. (2003), this study establishes longwave benchmarks for inhomogeneous cloud fields and compares the performance of three approximate, one-dimensional (1D) radiation models. The benchmarks are calculated using a correlated-k three-dimensional Monte Carlo (3DMC) algorithm that is validated via comparisons to line-by-line calculations for simple atmospheres. The approximate methods include an independent pixel approximation (IPA) and two cloud-overlap schemes: maximum/random (MRO) and random (RO). The test cases are the same as those used in the shortwave ICRCCM III, and were generated from various cloud resolving models (CRMs). These cases represent a variety of inhomogeneous cloud types that are important radiative forcing mechanisms of general circulation models (GCMs). Domain-averaged fluxes and heating rates from these six "real cloud" atmospheres show that the IPA is consistently more accurate than the cloud-overlap models with respect to the benchmarks. For example, comparisons of model results for the ATEX case yield a maximum cloud layer heating rate error of -20 K/day from using cloud-overlap models, whereas the IPA error is only -2.5 K/day. These differences can be attributed to the 3D effects of cloud radiation, and indicate the need to refine longwave 1D climate radiation codes so that they compensate for unresolved clouds.
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