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Title: A New Paradigm for Diagnosing Contributions to Model Aerosol Forcing Error: Diagnosing Model Aerosol Forcing Error

Abstract

A new paradigm in benchmark absorption-scattering radiative transfer is presented that enables both the globally averaged and spatially resolved testing of climate model radiation parameterizations in order to uncover persistent sources of biases in the aerosol instantaneous radiative effect (IRE). A proof of concept is demonstrated with the Geophysical Fluid Dynamics Laboratory AM4 and Community Earth System Model 1.2.2 climate models. Instead of prescribing atmospheric conditions and aerosols, as in prior intercomparisons, native snapshots of the atmospheric state and aerosol optical properties from the participating models are used as inputs to an accurate radiation solver to uncover model-relevant biases. These diagnostic results show that the models' aerosol IRE bias is of the same magnitude as the persistent range cited (~1 W/m 2) and also varies spatially and with intrinsic aerosol optical properties. The findings presented here underscore the significance of native model error analysis and its dispositive ability to diagnose global biases, confirming its fundamental value for the Radiative Forcing Model Intercomparison Project.

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [5]
  1. Princeton Univ., NJ (United States). NOAA Geophysical Fluid Dynamics Lab. and Atmospheric and Oceanic Sciences
  2. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
  3. Princeton Univ., NJ (United States). NOAA Geophysical Fluid Dynamics Lab.
  4. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States). Dept. of Earth and Planetary Science
  5. Univ. of Colorado, Boulder, CO (United States). Cooperative Inst. for Research in Environmental Sciences
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC); Princeton Univ., NJ (United States)
OSTI Identifier:
1411975
Alternate Identifier(s):
OSTI ID: 1412578; OSTI ID: 1432234
Grant/Contract Number:  
AC02-05CH11231; SC0012549; SC0012313
Resource Type:
Journal Article: Published Article
Journal Name:
Geophysical Research Letters
Additional Journal Information:
Journal Volume: 44; Journal Issue: 23; Related Information: ©2017. The Authors.; Journal ID: ISSN 0094-8276
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 63 RADIATION, THERMAL, AND OTHER ENVIRON. POLLUTANT EFFECTS ON LIVING ORGS. AND BIOL. MAT.; 58 GEOSCIENCES; aerosol; radiative forcing; radiative effect; line by line; native error diagnostics; RFMIP

Citation Formats

Jones, A. L., Feldman, D. R., Freidenreich, S., Paynter, D., Ramaswamy, V., Collins, W. D., and Pincus, R. A New Paradigm for Diagnosing Contributions to Model Aerosol Forcing Error: Diagnosing Model Aerosol Forcing Error. United States: N. p., 2017. Web. doi:10.1002/2017GL075933.
Jones, A. L., Feldman, D. R., Freidenreich, S., Paynter, D., Ramaswamy, V., Collins, W. D., & Pincus, R. A New Paradigm for Diagnosing Contributions to Model Aerosol Forcing Error: Diagnosing Model Aerosol Forcing Error. United States. doi:10.1002/2017GL075933.
Jones, A. L., Feldman, D. R., Freidenreich, S., Paynter, D., Ramaswamy, V., Collins, W. D., and Pincus, R. Thu . "A New Paradigm for Diagnosing Contributions to Model Aerosol Forcing Error: Diagnosing Model Aerosol Forcing Error". United States. doi:10.1002/2017GL075933.
@article{osti_1411975,
title = {A New Paradigm for Diagnosing Contributions to Model Aerosol Forcing Error: Diagnosing Model Aerosol Forcing Error},
author = {Jones, A. L. and Feldman, D. R. and Freidenreich, S. and Paynter, D. and Ramaswamy, V. and Collins, W. D. and Pincus, R.},
abstractNote = {A new paradigm in benchmark absorption-scattering radiative transfer is presented that enables both the globally averaged and spatially resolved testing of climate model radiation parameterizations in order to uncover persistent sources of biases in the aerosol instantaneous radiative effect (IRE). A proof of concept is demonstrated with the Geophysical Fluid Dynamics Laboratory AM4 and Community Earth System Model 1.2.2 climate models. Instead of prescribing atmospheric conditions and aerosols, as in prior intercomparisons, native snapshots of the atmospheric state and aerosol optical properties from the participating models are used as inputs to an accurate radiation solver to uncover model-relevant biases. These diagnostic results show that the models' aerosol IRE bias is of the same magnitude as the persistent range cited (~1 W/m2) and also varies spatially and with intrinsic aerosol optical properties. The findings presented here underscore the significance of native model error analysis and its dispositive ability to diagnose global biases, confirming its fundamental value for the Radiative Forcing Model Intercomparison Project.},
doi = {10.1002/2017GL075933},
journal = {Geophysical Research Letters},
number = 23,
volume = 44,
place = {United States},
year = {Thu Dec 07 00:00:00 EST 2017},
month = {Thu Dec 07 00:00:00 EST 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1002/2017GL075933

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Works referenced in this record:

The HITRAN2012 molecular spectroscopic database
journal, November 2013

  • Rothman, L. S.; Gordon, I. E.; Babikov, Y.
  • Journal of Quantitative Spectroscopy and Radiative Transfer, Vol. 130, p. 4-50
  • DOI: 10.1016/j.jqsrt.2013.07.002