Reducing the model spread in free-tropospheric relative humidity (RH) and its response to warming is a crucial step toward reducing the uncertainty in clear-sky climate sensitivity, a step that is hoped to be taken with recently developed global storm-resolving models (GSRMs). In this study we quantify the inter-model differences in tropical present-day RH across GSRMs, making use of DYAMOND, a first 40-day intercomparison. We find that the inter-model spread in tropical mean free-tropospheric RH is reduced compared to conventional atmospheric models, except from the tropopause region and the transition to the boundary layer. We estimate the reduction to similar to 50%-70% in the upper troposphere and 25%-50% in the mid troposphere. However, the remaining RH differences still result in a spread of 1.2 Wm-2 in tropical mean clear-sky outgoing longwave radiation (OLR). This spread is mainly caused by RH differences in the lower and mid free troposphere, whereas RH differences in the upper troposphere have a minor impact. By examining model differences in moisture space we identify two regimes with a particularly large contribution to the spread in tropical mean clear-sky OLR: rather moist regimes at the transition from deep convective to subsidence regimes and very dry subsidence regimes. Particularly for these regimes a better understanding of the processes controlling the RH biases is needed.
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UNIV CALIF SAN DIEGO,SCRIPPS INST OCEANOG,CALIF SPACE INST,LA JOLLA,CA 92093UNIV CALIF SAN DIEGO,SCRIPPS INST OCEANOG,CALIF SPACE INST,LA JOLLA,CA 92093
COLLINS, WD
INAMDAR, AK
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UNIV CALIF SAN DIEGO,SCRIPPS INST OCEANOG,CALIF SPACE INST,LA JOLLA,CA 92093UNIV CALIF SAN DIEGO,SCRIPPS INST OCEANOG,CALIF SPACE INST,LA JOLLA,CA 92093
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Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USAUniv Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
Nugent, J. M.
Turbeville, S. M.
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Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USAUniv Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
Turbeville, S. M.
Bretherton, C. S.
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Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
Allen Inst Artificial Intelligence, Seattle, WA USAUniv Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
Bretherton, C. S.
Blossey, P. N.
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Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USAUniv Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
Blossey, P. N.
Ackerman, T. P.
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Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USAUniv Washington, Dept Atmospher Sci, Seattle, WA 98195 USA