Inverse relationship between present-day tropical precipitation and its sensitivity to greenhouse warming

• Published in: Nature climate change Vol. 8; no. 1; pp. 64 - 69
• Main Authors: Ham, Yoo-Geun, Kug, Jong-Seong, Choi, Jun-Young, Jin, Fei-Fei, Watanabe, Masahiro
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.01.2018; Nature Publishing Group
• Subjects: 704/106/35/823; 704/106/694/1108; 704/106/694/2786; 704/242; Adaptation; Anthropogenic factors; Atmospheric boundary layer; Atmospheric models; Atmospheric precipitations; Bias; Boundary layer mixing; Boundary layers; Climate; Climate adaptation; Climate Change; Climate Change/Climate Change Impacts; Climate models; Computer simulation; Earth and Environmental Science; Environment; Environmental Law/Policy/Ecojustice; Equatorial regions; Evaporation; Future precipitation; Greenhouse effect; Human influences; Humidity; Letter; Precipitation; Rain; Rainfall; Relative humidity; Sensitivity; Temperature (air-sea); Tropical climate; Uncertainty; Walker circulation
• DOI: 10.1038/s41558-017-0033-5
• ISSN: 1758-678X

Future changes in rainfall have serious impacts on human adaptation to climate change, but quantification of these changes is subject to large uncertainties in climate model projections. To narrow these uncertainties, significant efforts have been made to understand the intermodel differences in future rainfall changes. Here, we show a strong inverse relationship between present-day precipitation and its future change to possibly calibrate future precipitation change by removing the present-day bias in climate models. The results of the models with less tropical (40° S–40° N) present-day precipitation are closely linked to the dryness over the equatorial central-eastern Pacific, and project weaker regional precipitation increase due to the anthropogenic greenhouse forcing 1 – 6 with stronger zonal Walker circulation. This induces Indo-western Pacific warming through Bjerknes feedback, which reduces relative humidity by the enhanced atmospheric boundary-layer mixing in the future projection. This increases the air–sea humidity difference to enhance tropical evaporation and the resultant precipitation. Our estimation of the sensitivity of the tropical precipitation per 1 K warming, after removing a common bias in the present-day simulation, is about 50% greater than the original future multi-model projection. A present-day bias identified in climate projections means that future tropical rainfall may be underestimated. This bias can be addressed by constraining projections with observations.