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Title: Balancing Accuracy, Efficiency, and Flexibility in Radiation Calculations for Dynamical Models

Abstract

This paper describes the initial implementation of a new toolbox that seeks to balance accuracy, efficiency, and flexibility in radiation calculations for dynamical models. The toolbox consists of two related code bases: Radiative Transfer for Energetics (RTE), which computes fluxes given a radiative transfer problem defined in terms of optical properties, boundary conditions, and source functions; and RRTM for General circulation model applications—Parallel (RRTMGP), which combines data and algorithms to map a physical description of the gaseous atmosphere into such a radiative transfer problem. The toolbox is an implementation of well–established ideas, including the use of a k–distribution to represent the spectral variation of absorption by gases and the use of two–stream, plane–parallel methods for solving the radiative transfer equation. The focus is instead on accuracy, by basing the k–distribution on state–of–the–art spectroscopy and on the sometimes–conflicting goals of flexibility and efficiency. Flexibility is facilitated by making extensive use of computational objects encompassing code and data, the latter provisioned at runtime and potentially tailored to specific problems. The computational objects provide robust access to a set of high–efficiency computational kernels that can be adapted to new computational environments. Accuracy is obtained by careful choice of algorithms and through tuning andmore » validation of the k–distribution against benchmark calculations. Flexibility with respect to the host model implies user responsibility for maps between clouds and aerosols and the radiative transfer problem, although comprehensive examples are provided for clouds.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]
  1. Cooperative Institute for Environmental StudiesUniversity of Colorado Boulder Boulder CO USA, Physical Sciences DivisionNOAA/Earth System Research Lab Boulder CO USA
  2. Atmospheric and Environmental Research Lexington MA USA
  3. Alpenglow Scientific Fairbanks AK USA
Publication Date:
Research Org.:
Univ. of Colorado, Boulder, CO (United States)
Sponsoring Org.:
Office of Science (SC), Biological and Environmental Research (BER). Earth and Environmental Systems Science Division; DOD, United States Navy, Office of Naval Research (ONR); National Aeronautics and Space Administration (NASA)
OSTI Identifier:
1568952
Alternate Identifier(s):
OSTI ID: 1568953; OSTI ID: 1599354
Grant/Contract Number:  
SC0016593; SC0012399; N00014-13-1-0858; N00014-17-1-2158; NNH13CJ92C
Resource Type:
Published Article
Journal Name:
Journal of Advances in Modeling Earth Systems
Additional Journal Information:
Journal Name: Journal of Advances in Modeling Earth Systems Journal Volume: 11 Journal Issue: 10; Journal ID: ISSN 1942-2466
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; radiation; atmospheric model; parameterization

Citation Formats

Pincus, Robert, Mlawer, Eli J., and Delamere, Jennifer S. Balancing Accuracy, Efficiency, and Flexibility in Radiation Calculations for Dynamical Models. United States: N. p., 2019. Web. doi:10.1029/2019MS001621.
Pincus, Robert, Mlawer, Eli J., & Delamere, Jennifer S. Balancing Accuracy, Efficiency, and Flexibility in Radiation Calculations for Dynamical Models. United States. doi:10.1029/2019MS001621.
Pincus, Robert, Mlawer, Eli J., and Delamere, Jennifer S. Wed . "Balancing Accuracy, Efficiency, and Flexibility in Radiation Calculations for Dynamical Models". United States. doi:10.1029/2019MS001621.
@article{osti_1568952,
title = {Balancing Accuracy, Efficiency, and Flexibility in Radiation Calculations for Dynamical Models},
author = {Pincus, Robert and Mlawer, Eli J. and Delamere, Jennifer S.},
abstractNote = {This paper describes the initial implementation of a new toolbox that seeks to balance accuracy, efficiency, and flexibility in radiation calculations for dynamical models. The toolbox consists of two related code bases: Radiative Transfer for Energetics (RTE), which computes fluxes given a radiative transfer problem defined in terms of optical properties, boundary conditions, and source functions; and RRTM for General circulation model applications—Parallel (RRTMGP), which combines data and algorithms to map a physical description of the gaseous atmosphere into such a radiative transfer problem. The toolbox is an implementation of well–established ideas, including the use of a k–distribution to represent the spectral variation of absorption by gases and the use of two–stream, plane–parallel methods for solving the radiative transfer equation. The focus is instead on accuracy, by basing the k–distribution on state–of–the–art spectroscopy and on the sometimes–conflicting goals of flexibility and efficiency. Flexibility is facilitated by making extensive use of computational objects encompassing code and data, the latter provisioned at runtime and potentially tailored to specific problems. The computational objects provide robust access to a set of high–efficiency computational kernels that can be adapted to new computational environments. Accuracy is obtained by careful choice of algorithms and through tuning and validation of the k–distribution against benchmark calculations. Flexibility with respect to the host model implies user responsibility for maps between clouds and aerosols and the radiative transfer problem, although comprehensive examples are provided for clouds.},
doi = {10.1029/2019MS001621},
journal = {Journal of Advances in Modeling Earth Systems},
number = 10,
volume = 11,
place = {United States},
year = {2019},
month = {10}
}

Journal Article:
Free Publicly Available Full Text
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DOI: 10.1029/2019MS001621

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