Abstract
The fractional water vapor changes under global warming across 14 Coupled Model Intercomparison Project Phase 5 simulations are analyzed. We show that the mean fractional water vapor changes under global warming in the tropical upper troposphere between 300 and 100 hPa range from 12.4 to 28.0 %/K across all models while the fractional water vapor changes are about 5–8 %/K in other regions and at lower altitudes. The “upper-tropospheric amplification” of the water vapor change is primarily driven by a larger temperature increase in the upper troposphere than in the lower troposphere per degree of surface warming. The relative contributions of atmospheric temperature and relative humidity changes to the water vapor change in each model vary between 71.5 to 131.8 % and 24.8 to −20.1 %, respectively. The inter-model differences in the water vapor change is primarily caused by differences in temperature change, except over the inter-tropical convergence zone within 10°S–10°N where the model differences due to the relative humidity change are significant. Furthermore, we find that there is generally a positive correlation between the rates of water vapor change for long-tem surface warming and those on the interannual time scales. However, the rates of water vapor change under long-term warming have a systematic offset from those on the inter-annual time scales and the dominant contributor to the differences also differs for the two time scales, suggesting caution needs to be taken when inferring long-term water vapor changes from the observed interannual variations.
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Acknowledgments
The authors appreciate the funding support by NASA ROSES AST, NEWS, MAP and NDOA programs. We are also grateful to Mark Richardson and two anonymous reviewers for their valuable comments. This work is performed at the Jet Propulsion Laboratory, California Institute of Technology, under contract with NASA.
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Takahashi, H., Su, H. & Jiang, J.H. Water vapor changes under global warming and the linkage to present-day interannual variabilities in CMIP5 models. Clim Dyn 47, 3673–3691 (2016). https://doi.org/10.1007/s00382-016-3035-5
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DOI: https://doi.org/10.1007/s00382-016-3035-5