Effect of Tropical Nonconvective Condensation on Uncertainty in Modeled Projections of Rainfall

Journal Article · 05 September 2019 · Journal of Climate

DOI: https://doi.org/10.1175/JCLI-D-18-0833.1 · OSTI ID:1560348

Stephens, Benjamin A. ^[1]; Jackson, Charles S. ^[2]; Wagman, Benjamin M. ^[3]

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1. Department of Physics, and Institute for Geophysics, The University of Texas at Austin, Austin, Texas
2. Institute for Geophysics, The University of Texas at Austin, Austin, Texas
3. Lawrence Livermore National Laboratory, Livermore, California, and Institute for Geophysics, The University of Texas at Austin, Austin, Texas

Abstract We find that part of the uncertainty in the amplitude and pattern of the modeled precipitation response to CO2 forcing traces to tropical condensation not directly involved with parameterized convection. The fraction of tropical rainfall associated with large-scale condensation can vary from a few percent to well over half depending on model details and parameter settings. In turn, because of the coupling between condensation and tropical circulation, the different ways model assumptions affect the large-scale rainfall fraction also affect the patterns of the response within individual models. In two single-model ensembles based on the National Center for Atmospheric Research (NCAR) Community Atmosphere Model (CAM), versions 3.1 and 5.3, we find strong correlations between the fraction of tropical large-scale rain and both climatological rainfall and circulation and the response to CO2 forcing. While the effects of an increasing tropical large-scale rain fraction are opposite in some ways in the two ensembles—for example, the Hadley circulation weakens with the large-scale rainfall fraction in the CAM3.1 ensemble while strengthening in the CAM5.3 ensemble—we can nonetheless understand these different effects in terms of the relationship between latent heating and circulation, and we propose explanations for each ensemble. We compare these results with data from phase 5 of the Coupled Model Intercomparison Project (CMIP5), for which some of the same patterns hold. Given the importance of this partitioning, there is a need for constraining this source of uncertainty using observations. However, since a “large-scale rainfall fraction” is a modeling construct, it is not clear how observations may be used to test various modeling assumptions determining this fraction.

• Sponsoring Organization: USDOE
• Grant/Contract Number: SC0016401; SC0006985
• OSTI ID: 1560348
• Journal Information: Journal of Climate, Journal Name: Journal of Climate Journal Issue: 19 Vol. 32; ISSN 0894-8755
• Publisher: American Meteorological SocietyCopyright Statement
• Country of Publication: United States
• Language: English