1 2 3 4 Supplementary: The Madden-Julian Oscillation in a Warmer World 5 Chiung-Wen June Chang1*, Wan-Ling Tseng2, Huang-Hsiung Hsu2, Noel Keenlyside3 and Ben-Jei Tsuang4 6 7 8 9 1. Chinese Cultural University, Taipei, Taiwan 10 2. Academia Sinica, Research Center for Environmental Changes, Taipei, Taiwan 11 3. Geophysical Institute and Bjerknes Centre, University of Bergen, Bergen , Norway 12 4. National Chung-Hsing University, Taichung, Taiwan 13 Corresponding author: Chiung-Wen June Chang, Chinese Cultural University, Taipei, 14 Taiwan 15 e-mail: c.june.chang@gmail.com 16 17 Key points 18 19 One of the few models capable in reproducing realistic MJO key features is used for MJO projection under global warming 20 Global warming enhances MJO, leading to high-frequency and faster east travelling events 21 Key changes in the MJO vertical structure lead to mutual reinforcement of thermodynamic 22 and dynamic factors 23 1 24 25 26 Table S1. The amplitude for MJO precipitation and 850 hPa zonal wind anomalies, the estimated 27 vertical velocity w', and the dry static stability (∂𝑠̅/∂p). The dry static stability ∂𝑠̅/∂p is the value 28 averaged from 850 hPa to 200 hPa. The MJO precipitation and 850 hPa zonal wind anomalies 29 amplitude is calculated as the square root of the integral spectra from wave number 1-4, cycle 30 20-90 days for each respective parameter in Fig. 1. 31 32 The MJO variance is defined as the spectra band between eastward zonal wave numbers 1-4, 33 and periods of 20-90 days. The MJO variance in precipitation increases significantly by 17.5% in 34 FUTURE relative to PRESENT whereas the U850 amplitude increases by 4.4%. Following the 35 weak temperature gradient thermodynamic balance Q'=w'*(∂𝑠̅/∂p) relationship as equation (1) in 36 Maloney and Xie (2013), we get an estimation of w' amplitude increase of 1.6% from PRESENT 37 to FUTURE (assuming MJO band precipitation anomalies are proportional to Q'). The amplitude 38 change in w' (1.6%) predicted by this relationship agrees reasonably well with the U850' 39 amplitude change (4.4%). Thus, the discrepancy between precipitation and wind variance 40 changes in the FUTURE experiment can be explained by the compensation effect of the change 41 in static stability. 2 42 43 Figure S1. Mean state changes relative to the 20th Century climate. (a) SST (contours are the 20 44 year mean in PRESENT with contour interval of 0.5°C from 28°C.) (b) 850 hPa zonal wind 45 (contours mark the westerly zone as black in PRESENT and blue in FUTURE. Unit: m s-1). The 46 changes are computed as the 20 year mean difference of FUTURE minus PRESENT. 47 3 48 49 Figure S2. Simulated zonal averaged mean state over the warm pool region (50°E-180°E). (a) 50 SST (b) precipitation (solid line) and intraseasonal precipitation variance (dash line), and (c) 51 specific humidity at 925 hPa (solid line) and 500 hPa (dash line). 52 53 54 4 55 56 Figure S3. The vertically integrated energy Q1 and moisture Q2 budgets from surface to 200 hPa 57 in the eight MJO phases, where the brackets represent the mass-weighted vertical integral. <Q1> 58 is plotted in solid line; <Q2> in dash line. 59 5 60 61 Figure S4. Vertical temperature advection change relative to the 20th century climate. 62 (a) Temperature advection of the mean potential temperature by the MJO vertical flow ). Contour is the value in the PRESENT experiment, shading plots the change relative to p 63 ( w' 64 PRESENT ( ( w' 65 change ( w'CTL ( 66 ( w' ( 67 ) , term a in Eq. 2). (b) Contribution from the background dry static stability p ) , term b in Eq. 2). (c) Contribution from the MJO vertical flow change p )CTL , term c in Eq. 2) p We approximate the Q1 change from the vertical component w in the thermodynamic p 68 equation of the atmospheric potential temperature, where w is vertical velocity (omega) with 69 negative value upward; is potential temperature. When decomposing w into w w' , into 70 ' (the overbar and prime denote the background mean and intraseasonal anomalies 6 term is mainly dominated by w' . Similar to Eq. 1 in the text, the change p p 71 respectively), w 72 in temperature advection by MJO vertical motion, w' 73 ( w' ) ( w'CTL ) (w' ( )CTL ) (w' ( )) p p p p a b c , can be written as: p (2) d 74 Terms a-c in the Eq. 2 are shown as the shadings in Fig. S4 a-c, respectively; term d is a 75 small fraction henceforth not shown. Under global warming, the upper troposphere temperature 76 increases more quickly than the lower troposphere, the dry stability becomes greater in the upper 77 troposphere. The enhanced MJO deep convective heating is mainly due to the atmospheric dry 78 stability change (Fig. S4b). The fact that the enhanced MJO vertical velocity in the shallow 79 convective phase 1-3 and phase 6-7 attributing to the heating is demonstrated in Fig. S4c. 80 7 81 82 Figure S5. Symmetric outgoing long wave radiation (OLR) wavenumber-frequency spectra of (a) 83 the PRESENT experiment (b) the FUTURE experiment and (c) the FUTURE minus PRESENT. 84 Spectra were computed for all longitudes in the domain 15°S -15°N. Superimposed are the 85 dispersion curves of the equatorial waves for the equivalent depths of 12, 25 and 50m (definition 86 following [Wheeler and Kiladis, 1999]). Note that the spectral variance in MJO (power at 0.03- 87 0.05 cycle per day and zonal wave number one) is enhanced in the FUTURE experiment, and 88 that there is an overall enhancement of the equatorial Kelvin waves in tropical wave spectra in 89 FUTURE relative to PRESENT. 90 91 92 Reference 93 Wheeler, M., and G. N. Kiladis (1999), Convectively coupled equatorial waves: Analysis of 94 clouds and temperature in the wavenumber-frequency domain, Journal of the Atmospheric 95 Sciences, 56(3), 374-399. 96 8