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EARLY ONLINE RELEASE This is a PDF of a manuscript that has been peer-reviewed and accepted for publication. As the article has not yet been formatted, copy edited or proofread, the final published version may be different from the early online release. This pre-publication manuscript may be downloaded, distributed and used under the provisions of the Creative Commons Attribution 4.0 International (CC BY 4.0) license. It may be cited using the DOI below. The DOI for this manuscript is DOI:10.2151/jmsj.2019-018 J-STAGE Advance published date: December 7th, 2018 The final manuscript after publication will replace the preliminary version at the above DOI once it is available.

1 2 3 4 Characteristics of Future Changes in Summertime East Asian Monthly Precipitation in MRI-AGCM Global Warming Experiments 5 6 Tomoaki OSE 7 8 9 10 Meteorological Research Institute Tsukuba, Japan 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 August 24, 2018 Submitted to JMSJ October 22, 2018 1 st Reviced November 19, 2018 2 nd Reviced November 28, 2018 Final ------------------------------------ 1) Corresponding author: Tomoaki Ose, Meteorological Research Institute, 1-1 Nagamine, Tsukuba, Ibaraki, 305-0052 JAPAN. Email: tomoaose@mri-jma.go.jp Tel: +81-29-853-8608 Fax: +81-29-855-2552

32 Abstract 33 34 Global warming experiments using three different 60 km-mesh atmospheric global circulation 35 models are studied to characterize ensemble mean future changes in monthly East Asian 36 precipitation for June to August. During the summer, wetting and drying effects due to changes in 37 mean vertical motion play a key role in future precipitation changes, as does the wet-get-wetter 38 effect due to increased moisture. The former processes are related adiabatically to the projected 39 modification of 500 hpa horizontal atmospheric circulation, which is characterized by two cyclonic 40 circulation anomalies extending over the eastern Eurasian Continent (C1) and the western North 41 Pacific Ocean (C2) for each month. 42 Over Japan, the western edge of C2 shifts from a region south of the Japanese Islands to 43 northern Japan during June August, representing a delayed northward movement or southward shift 44 of the westerly jet over the western North Pacific in the future compared with the present-day 45 climatology. Most regions of Japan lie within the northeasterly wind and associated downward 46 motion zones of C2, leading to significant uncertainties in the future precipitation over Japan by the 47 offset against the wet-get-wetter effect and possibly even a future decrease in precipitation. A 48 wetter future climate is anticipated under weak subsidence or the upward vertical motion zone of 49 C2, such as western Japan in August away from C2, and the Southwest Islands of Japan in June in 50 the C2 southwesterly wind zone. 51 Over the eastern Eurasian Continent, C1 is distributed mainly over northeastern China in June, 1

52 central and southern China in July and August respectively. During these months, most of the 53 eastern regions are located within the southwesterly-to-southeasterly wind zone of C1, indicating 54 wet future conditions due to enhanced upward motion. This tendency drives a further increase in 55 precipitation in future wetter East Asian climate via the wet-get-wetter effect and the increased 56 evaporation. 57 58 Keywords: global warming; East Asia; precipitation; monsoon; MRI-AGCM 59 2

60 1. Introduction 61 As it is now widely accepted that global warming impacts not only regional surface 62 temperature but also precipitation, numerous studies have focused on future changes in regional 63 precipitation patterns in East Asia (Kitoh et al. 1997; Kimoto 2005; Kitoh and Uchiyama 2006). The 64 zeroth-order approximation for future precipitation change is described via the wet-getting-wetter 65 and dry-getting-drier effects (Held and Soden 2006). When precipitation changes are divided into 66 thermodynamic and dynamic effects (e.g., Emori and Brown 2005; Seager et al. 2010), the 67 thermodynamic effect corresponds to the wet-getting-wetter and dry-getting-drier. However, 68 the dynamic effect is so significant for regional precipitation that it makes differences among future 69 regional monsoons of the world (Endo and Kitoh 2014). Applying this division of precipitation 70 change over East Asia to the Fifth phase of Couple Model Intercomparison Project (CMIP5) 71 simulations, Zhou et al. (2017) concluded that the thermodynamic component is robust among the 72 models, whereas the dynamic component with the circulation changes contributes considerable 73 uncertainties to projections of the East Asia summer monsoon. 74 The dynamical components of moisture decomposition share common characteristics among 75 the models such as the weakening of the tropical circulation in future (Vecchi and Soden 2007). 76 This is the case for the future summer Asian monsoon. For example, in their analysis of the Third 77 phase of CMIP (CMIP3) models, Hirahara et al. (2012) suggested a weakening of summer Asian 78 monsoon circulation and shrink of the Tibetan high by decreased upper tropospheric divergence in 79 the western North Pacific. They also reported a projected strengthening of the southern side of the 3

80 East Asian jet stream and delayed withdrawal of the Baiu under future climate conditions. The 81 above relationship between the future changes in the jet stream and the Baiu is consistent with the 82 theoretical study of Horinouchi and Hayashi (2017). 83 The high-resolution Meteorological Research Institute Atmospheric Global Circulation 84 Model version 3.2, known as MRI-AGCM3.2 (MRI-AGCM3.2H for 60 km-mesh and 85 MRI-AGCM3.2S for 20 km-mesh), simulates high-skill climatology for summer precipitation over 86 East Asia (Kusunoki 2016) in addition to other atmospheric fields (Mizuta et al. 2012). This is a 87 necessary condition for precise estimation of the wet-get-wetter effect as pertains to future 88 climate projections. Consequently, MRI-AGCM3.2 has been employed in conjunction with 89 CMIP-derived and observed sea surface temperature (SST) data to explore detailed patterns of 90 regional climate under global warming scenarios (Kitoh et al. 2016). 91 Okada et al. (2017) analyzed global warming experiments using the 20 km-mesh version of 92 MRI-AGCM3.2 (MRI-AGCM3.2S) to assess seasonal evolution of atmospheric condition for the 93 Baiu in the future. They showed that the Baiu frontal zone remains south of Japan in June and that 94 the end date of the Baiu depends on the future distribution of SSTs. In a similar study, Kusunoki 95 (2017) summarized a series of global warming simulations undertaken using various versions of 96 MRI-AGCM3.2, SST changes and emissions scenarios. That study reported a pattern of delayed 97 termination or delayed onset of the East Asian rainy season under future climate conditions, 98 depending on the simulations. Ose (2017) analyzed MRI-AGCM global warming experiments to 99 explain the cumulus-scheme dependence of future summertime precipitation over East Asia. In that 4

100 study, which is based on the Baiu rain-band mechanism of Sampe and Xie (2010), the authors 101 concluded that simulated future changes in 500 hpa horizontal atmospheric circulation and 102 associated adiabatic vertical motion is attributable to inter-model differences in precipitation 103 change. 104 The purpose of this study is to interpret projected future changes in monthly June August 105 precipitation over East Asia and summarize their characteristics, following the work of Ose (2017) 106 for the June August mean: for each month of the summer, the future changes in summer 107 precipitation is decomposed into the wet-get-wetter effect due to increased moisture content, and 108 the wet and dry effects caused by changes in atmospheric circulation. Key issues include: (1) 109 whether the analytical methodology employed by Ose (2017) and the concept of the Baiu rain-band 110 introduced by Sampe and Xie (2010) are applicable to the monthly analysis; (2) the characteristics 111 and predictability of projected monthly precipitation changes; and (3) the anticipated changes in 112 monthly atmospheric circulation associated with question (2). The results related to points (2) and 113 (3) are potentially valuable for interpreting the output of other global warming simulations. The 114 remainder of this manuscript is organized as follows. Details of the analytical methods are given in 115 Section 2 and the results in Section 3. Sections 4 and 5 provide the discussion and conclusions, 116 respectively. 117 118 2. Experimental Data for Analysis 119 For the present study, global warming experiments under the Representative Concentration 5

120 Pathways (RCP) scenario 8.5 (IPCC 2013) using three different versions of the MRI-AGCM3.2H 121 (60 km-mesh) (see table 1d of Kitoh et al., 2016) were analyzed, acknowledging that this grid size 122 is marginal in terms of representing the Japanese archipelago. Three different versions of 123 MRI-AGCM3.2H were adopted for a three-model ensemble of global warming simulations and are 124 referred to here as the YS, KF, and AS models, for which cumulus schemes of YS, KF, and AS are 125 incorporated, respectively. Specifically, the YS (or YoShimura cumulus) scheme is that presented by 126 Yoshimura et al. (2015), following Tiedtke (1989), and the KF scheme is based on Kain and Fritsch 127 (1990), while the AS scheme is that introduced by the Prognostic Arakawa Schubert model (Pan 128 and Randall 1998) but modified in 2007 by the Japan Meteorological Agency. Although the 129 statistical significance and the reliability of the models are not focused in this study, the three-model 130 ensemble is needed to confirm the qualitative commonness and diversity of results among the 131 models. 132 The global warming experiments consist of two 25-year time-slice experiments. The first 133 comprises a present-day simulation for the 25-year period 1980 2004 under observed monthly SST 134 data, whereas the second considers the period 2075 2099, for which the CMIP5-derived future SST 135 change and trend (Mizuta et al. 2014) have been added to the present-day observed monthly SST. 136 Consequently, the term future change is defined here as the difference between 2075 2099 and 137 1980 2004 mean values, while the term climatology refers the 25-year mean. Although results 138 are dependent to some degree on the prescribed future SST changes (e.g., Endo et al. 2012; 139 Kusunoki 2017; Okada 2017), the present study concerns the three-model ensemble experiments 6

140 using the CMIP5 ensemble mean SST. The Global Precipitation Climatology Project (GPCP) (Adler 141 et al. 2003) and the Japanese 55-year Reanalysis (JRA-55 reanalysis) (Kobayashi et al. 2015) are 142 used for the comparison of precipitation and atmospheric elements between simulated and observed 143 present-day climatology. 144 145 3. Results 146 3.1 Three-model ensemble mean of future precipitation change 147 a. Decomposition into the wet-get-wetter effect and the circulation change effect 148 Figure 1 depicts the three-model ensemble mean of present-day precipitation for (a) Fig. 1 149 June-July-August (JJA) mean, (b) June, (c) July, and (d) August, together with their corresponding 150 GPCP observations. The present-day precipitation climatology is important not only for confirming 151 model performance of the present-day simulation but also for estimating the wet-get-wetter effect 152 in future change. The distribution of simulated JJA precipitation is comparable to observation data, 153 although the northward extension of precipitation exceeding 4 mm day 1 is relatively weak. The 154 three-model ensemble also reconstructs the seasonal evolution of precipitation in the GPCP dataset; 155 precipitation exceeding 8 mm day 1 features the Meiyu over southern China in June, the Baiu over 156 Japan in June and July, and the Changma over Korea during July and August. Simulated August 157 precipitation appears concentrated over the Japanese archipelago, while relatively dry areas (<2 mm 158 day 1 ) are reproduced in the continental interior. 159 Figure 2 shows the projected changes in precipitation and precipitation-minus-evaporation in 7 Fig. 2

160 the three-model mean. Table 1 lists the principal areas in Japan where the changes in monthly 161 precipitation are projected with common signs among the three models. While the distribution and 162 seasonal progress of future precipitation change over Japan are not simple, most eastern continental 163 regions exhibit a significant increase in precipitation for most months. Exceptions include interior 164 regions through the summer, parts of southern China in July and eastern Korea in August. It is noted 165 that the future increase in evaporation contributes to that in precipitation by around 0.5 mm day -1 166 even over East Asia. 167 Equation (1) is a simplified moisture budget for future change in 168 precipitation-minus-evaporation, following eq. (2) of Ose (2017): 169 170 dp de qs dω500 dqs ω500 (1), 171 172 where and qs are vertical velocity at 500 hpa pressure coordinates and the surface specific 173 humidity, respectively. The terms d and dqs represent the future changes in and qs, while 174 dp and de are the future changes in precipitation and evaporation, and g is the gravity constant. 175 According to Ose (2017), this equation represents a good approximation of the anticipated changes 176 in precipitation-minus-evaporation over East Asia in the MRI-AGCM3.2H global warming 177 178 simulations. Figure 3 shows both the right-hand and left-hand sides of Eq. (1). The similarities between the shading and contours for each month are consistent with the data in Table 1. Fig. 3 179 Figure 4 depicts the first term on the right-hand side of Eq. (1): 8 Fig. 4

180 181 qs dω500 (2), 182 183 which represents the precipitation change associated with the future circulation change (d ). 184 Compared with the right-hand side of Eq. (1) (Fig. 3), the decrease in precipitation or dry tendency 185 due to downward motion is more intensified in Eq. (2) (Fig. 4), although similarities between the 186 two outputs can be found for the Southwest Islands of Japan during June and July, for parts of 187 northern Japan in July. Conversely, enhanced wet anomalies, due to enhanced upward motion, are 188 evident throughout the summer months for most eastern regions of the Eurasian Continent, with the 189 exception of central China in June, and southern China and eastern Korea in July and August. Over 190 the eastern regions of the Eurasian Continent, Eq. (2) in Fig. 4 is consistent with the qualitative 191 features of precipitation change (Fig.2 and Fig. 3). 192 193 b. Changes in atmospheric circulation 194 Figure 5 shows projected future changes in vertical pressure-velocity that is estimated Fig. 5 195 adiabatically according to the thermo-dynamical calculation at 6-hour intervals based on Eq. (3) for 196 d _6Hdiag at 500 hpa, together with simulated changes in the 500 hpa stream-function. 197 198 dω500_6hdiag v grad s v grad s / s p 9

199 (3), 200 where v and s are the horizontal wind vector and dry static energy, respectively. The vertical 201 derivative of s is calculated between 200 and 850 hpa. 202 The diagnostically estimated d _6Hdiag is less than approximately half the magnitude of 203 d (not shown), as reported by Sampe and Xie (2010) and illustrated by Ose (2017). Aside from 204 the magnitude, a comparison of Figs. 4 and 5 reveals that both the distribution of d _6Hdiag Fig. 6 205 and its seasonal change from June to August capture the first-order features exhibited by d. 206 Figure 6 depicts d _1Mmean_diag, which is estimated in the same way as d _6Hdiag but 207 using 25-year mean monthly fields. The resulting distribution of d _1Mmean_diag is 208 characteristically similar to that of d _6Hdiag. 209 The current assessment revealed that d _6Hdiag and d _1Mmean_diag are 210 consistent with projected future changes in the 25-year average monthly mean 500 hpa 211 stream-function, as indicated by contours in Figs. 5 and 6. Roughly, southerly and northerly winds 212 tend to correspond to adiabatic upward and downward motion, respectively (Ose 2017). Assuming 213 that these modifications of atmospheric circulation over East Asia are driven remotely by wave 214 propagation or the Asia Pacific monsoon system, future precipitation changes due to d (Fig. 4) 215 can be attributed to changes in adiabatic vertical motion, estimated as d _6Hdiag or 216 d _1Mmean_diag. 217 In Figs. 5 and 6, the terms A and C represent major anti-cyclonic and cyclonic circulation 218 anomalies, respectively, in the future relative to the present-day climatology. These terms including 10

219 numbered C s and A s such as C1 and A1 for each month are used hereafter in the paper. 220 Specifically, C1 corresponds to the southward shift of westerly winds in the eastern continental 221 areas and C2 reflects the equatorward shift of the jet stream in the western North Pacific (see Sec 4). 222 In terms of influence, C1 and C2 are significant factors in future precipitation patterns over the 223 eastern Eurasian Continent and Japanese archipelago, respectively. For instance, the north south 224 elongation of C1 over the eastern continent results in the occurrence of upward air motion, related 225 to the southerly air flow of C1 over the Continent s coastal margin. Specifically, this effect impacts 226 an area stretching from northeastern to central and southern China and Korea for much of the 227 summer. 228 The C2 exhibits an east west orientation with downward motion over its northern and western 229 sectors corresponding broadly to the Japanese region. During June, C2 extends longitudinally from 230 the western North Pacific to an area south of Japan, with the effect that western and eastern parts of 231 the Japanese archipelago are largely dominated by predominant descending air. In contrast, upward 232 motion occurs over the sea to the south of Japan. In July, the northward-shifted western edge of C2 233 spreads over the Japanese archipelago, resulting in relatively weak downward motion over most 234 parts of the archipelago, with the exception of some ascending motion in parts of northern and 235 southern Japan. When the western edge of C2 migrates north of Japan during August, the 236 archipelago experiences descending air flow. 237 While C1 is distributed over the eastern Eurasian Continent through the summer, its 238 latitudinal location changes from its northerly position in June to a more central region in July and a 11

239 southern locus in August. Southerly winds of C1 indicative of ascending air flow are projected from 240 northeastern China to northern Japan during June and July. Northerly winds of C1 dominate over 241 northern China during June and July. An additional zone of southerly wind flow anomalies occurs 242 between C1 (or C1 ) and A2, shifting from southern China in June to central China in July, and 243 northern China, Korea during August. In summary, the seasonal changes in d _6Hdiag in Fig. 244 5 and d _1Mmean_diag in Fig. 6 can be understood based on future circulation changes such as 245 C1, C1, C2, and A2, which characterize d and contribute to the future precipitation change 246 during June August. 247 248 c. Explanation of projected changes in three-model mean precipitation 249 A further term for the right-hand side of Eq. (1) is 250 251 dqs ω500 (4) 252 253 which represents the wet-get-wetter effect depicted in Fig. 7, which has similar patterns with the Fig. 7 254 present-day vertical motion ( ) and precipitation; the wetter effect stretching from central China 255 to western Japan in June (the Meiyu and the Baiu), its expansion into eastern Japan and Korea in 256 July (the Baiu and the Changma) to August. The drier effect is found in northern China especially in 257 August. 258 Figure 8 shows the projected precipitation changes according to the three-model ensemble, as 12 Fig. 8

259 in Fig. 2, but in relation to future changes in 500 hpa stream functions. A comparison of Figs. 7 and 260 8 enables the future precipitation regions of Table 1 to be sorted into those in Table 2, considering 261 contributions from the wet-get-wetter effect and changes in atmospheric circulation. For June, the 262 present-day precipitation (Baiu) region of Japan becomes dominated by a drying effect due to 263 descending air flow around C2. Consequently, the simulations project suppressed precipitation over 264 central Japan and enhanced rainfall over southern Japan, including the Southwest Islands, as a 265 consequence of upward motion south of C2. 266 During July, while C2 and its associated downward moving air flow shift northward, the 267 Pacific side of eastern Japan tends to become wetter. C1 is located at a latitude similar to that of C2, 268 and the ascending air flow zone of C1 spreads over northern Japan and the East China Sea. These 269 changes serve to enhance precipitation in northern Japan and over the Southwest Islands. During 270 August, descending air flow associated with C2 occurs in a north south, rather than an east west, 271 direction, leading to drier conditions in the Pacific side of eastern Japan. As C1 distributes in the 272 coastal regions of the continent and A2 develops between C1 and C2, the wet-get-wetter effect 273 works effectively away from C1 and C2 domains, bringing enhanced precipitation to western Japan 274 and the Japan Sea side. 275 In contrast to Japan, future precipitation change is stable throughout the summer months over 276 the continental East Asia. While the dry-get-drier effect is comparable in the magnitude to 277 increased evaporation of about 0.5 mm day -1, the C1-induced wet effect is added to the 278 wet-get-wetter effect in the eastern continental regions. After all, precipitation is projected to 13

279 increase significantly for all sectors of the continental East Asia, with notable exceptions being 280 interior regions through the summer, parts of southern China in July and eastern Korea during 281 August. 282 283 3.2 Differences in future precipitation changes among the three models Fig. 9 284 Figure 9 shows projected changes in precipitation and 500 hpa circulation for the month of 285 June for the three-model mean and YS, KF, and AS simulations. Note that the shading in Fig. 9a 286 represents complete agreement among the three models with respect to the sign of precipitation 287 change, specifically suggesting by yellow and blue shadings that all three models indicate positive 288 and negative changes, respectively. While the future changes in precipitation and circulation are 289 model dependent, the key features depicted in Fig. 8b, such as the existence of C1 and C2, are 290 confirmed for each model in Figs 9b-d. There is close agreement, for instance, on the simulated 291 increase in precipitation over southern Japan including the Southwest Islands, which is driven by 292 the upward motion south of C2 (or C1), combined with the wet-get-wetter effect. 293 The principal qualitative difference occurs in the KF simulation (Fig. 9c), in which C2 is 294 shifted away from Japan. Consequently, the associated downward motion and resulting drying 295 effect do not extend to the Japanese archipelago. It is indicated in Fig. 9a that the three-model 296 agreement on the future decrease in precipitation over Japan is spotty and its signal is quantitatively 297 298 weak. Figure 10 compares the projections among the three models for July, revealing significant 14 Fig. 10

299 inconsistencies over most of Japan, with the exception of some northern sectors and the Pacific 300 margin. The qualitative difference is attributed to the YS model (Fig. 10b), in which a measurable 301 decrease in precipitation south of Japan conflicts with projections of the other two models as well as 302 the three-model mean. This contrast originates from C2 being located at a lower latitude in the YS 303 model than in the KF and AS models, which results in drier and wetter future in central and 304 northern Japan of the YS model, respectively. 305 To evaluate the origins of this discrepancy further, simulated changes in horizontal and 306 vertical circulation at 500 hpa are compared among the YS, KF, and AS models and the three-model 307 mean for the Asia Pacific region (Fig. 11). The terms A0 and A1 indicate anti-cyclonic circulation Fig. 11 308 anomalies in north of Japan and over South Asia, respectively, in addition to the cyclonic circulation 309 anomalies of C1 and C2 and the anti-cyclonic circulation anomaly of A2. The relatively low latitude 310 of C2 in the YS simulations might be explained from the following differences among the models. 311 One possibility is that the C2 displacement in YS potentially results from the similarly 312 lower-latitude position of A0 in that model, assuming that A0 is driven by wave propagation and/or 313 boundary conditions such as the land sea thermal contrast (Wang and Yasunari 1994; Kamae et al. 314 2014). Another possibility comes from that the distribution of YS-projected changes in vertical 315 motion over the Pacific is significantly different from those predicted by the KF and AS models. As 316 reported by Endo (2012), CMIP3-projected changes in East Asian circulation are related to the 317 response of the tropical (Walker) circulation to global warming. Whereas the KF and AS 318 simulations produce the downward motion from just north of the equator to the latitudes beyond 15

319 20 N, the corresponding one for YS simulation has a more limited latitudinal range lower than 320 20 N. The YS, KF, and AS convection schemes may respond differently to a given SST forcing and 321 vertically stabilized future atmospheres. 322 Figure 12 is the same as Figs. 9 and 10 except for the month of August. All the three models Fig. 12 323 exhibit C1 and C2 configurations comparable to the three-model mean (Fig. 8d), with C1 and C2 324 separated by A2. Therefore, the wet-get-wetter effect dominates in western Japan and over the 325 Japan Sea margin during August, where future precipitation increases are broadly consistent. 326 However, the relatively northerly locus of C2 in the KF scheme appears to weaken the drying effect 327 on Japan s Pacific margin, resulting in uncertainty of future precipitation estimates (Fig. 12a). 328 Whereas the pronounced increase in summertime precipitation over the East Asian continent 329 is a robust feature of all three models (see Figs. 9a, 10a, and 12a), there remains significant 330 disagreement about precipitation changes over Japan. This discrepancy is attributed to the results of 331 the previous analysis: whereas the wet-get-wetter effect and the effects of circulation change are 332 consistent over the eastern continental regions, they tend to be offset each other over Japan. 333 334 4. Discussion 335 4.1 Relationship between C1, C2, and the Asia Pacific monsoon circulation 336 C1 and C2 are key characteristics of future changes in atmospheric circulation at 500 hpa, 337 influencing future precipitation in East Asia. As the loci of both patterns are simulated to shift 338 between June and August (Fig. 8), it is crucial to establish how C1 and C2 relate to the present-day 16

339 seasonal evolution of atmospheric circulation to better understand future precipitation. 340 Figure 13 shows the 500 hpa zonal-wind velocity simulated for the present day and future Fig. 13 341 (color), together with the observed climatology. According to the observed JJA mean (Fig. 13a), 342 East Asia experiences two major westerly jets: one stretching from Japan to the western North 343 Pacific and a second centered over the continent itself. Comparing the observed and simulated 8 344 m/s-contour data, these mid-latitude jets are reproduced well in the three-model-mean present-day 345 climatology. The observed westerly domain corresponding to the lower-level westerly jet of the 346 South Asian monsoon, which is located north of the equator in the Indian Ocean, is also well 347 simulated. The three-model mean simulates the observed easterly air flow over the northern Arabian 348 Sea, which extends eastward along the northern part of South Asia to the Pacific. 349 In the present-day simulation and observation in Fig. 13b, the Pacific westerly jet is located 350 south of Japan in June, but shifted southward in future climate, which is represented by C2 in Fig. Fig. 14 351 8b or Fig.14b. The continental jet in June also tends to strengthen in the mid-latitudes and weaken 352 over the northern continental regions in the future, corresponding to C1 in Fig. 14b. Both the 353 easterly air flow over northern India and the westerly flow in the Indian Ocean weaken in 354 future-climate simulations, reflecting the declining intensity of the South Asian monsoon. Moreover, 355 the simulated future change of westerly tendency (weaken easterly air flow) over northern India is 356 connected to the southern parts of both C1 in southern China and C2 in the western North Pacific 357 (Fig. 14b). 358 Compared with the present-day June climatology (Fig. 13c), the Pacific jet in the present-day 17

359 July is weak and located slightly to the north. In future-climate simulations, the jet shifts southward 360 and forms C2 at a marginally higher latitude than that in June. Concurrently, the future deceleration 361 of the northern part of the Pacific westerly jet extends west towards the continental jet, forming C1 362 over eastern to southern China (Fig. 8c). The Pacific jet moves farther north during August and 363 merges with the strengthened continental jet (Fig. 13d). The projected C2 extension, which 364 indicates a southward shift of the Pacific jet under future conditions, is limited east of Japan, in 365 contrast to June and July projections (Fig. 8d). The westerly and easterly air flows centered over 366 southern China and South Asia, respectively, are simulated to weaken in future, leading to the 367 formation of the August C1 (Fig. 14d). 368 The projected C2 seem to be the diminished northward migration of Asia Pacific monsoon 369 circulation (Fig. 14). This feature is consistent with diagnostics of the delayed northward migration 370 of the upper-level Pacific jet (Fig. 15). The C2 can be regarded as a manifestation of the weakened Fig. 15 371 Asia Pacific monsoon circulation, as suggested by Hirahara et al. (2012). 372 In contrast, the development of C1 in future simulations indicates cyclonic circulation 373 anomalies over the eastern continent, a pattern that changes its location to southern regions over the 374 course of the summer (Fig. 14). Projected changes in the 200 hpa mid-latitude jet over the eastern 375 continent, corresponding to the northeastern edge of the Tibetan High, is simply a southward shift 376 from its present-day position as well as the western North Pacific (Fig. 15). Although the future 377 changes in upper-level and lower-level circulations (Fig. 15 and Fig. 16) in the mid-latitudes are Fig. 16 378 basically cyclonic and consistent with the C1 (Fig. 14), the C1 pattern seems to be more similar to 18

379 the lower-level circulation pattern than the upper-level circulation especially for August. For 380 southern regions, the C1 in June and C1 in July and August share a southerly wind component with 381 A2. Development of the A1 and A2 patterns at 500 hpa over South Asia depicted in Fig. 14, is 382 related to the lower-level circulation of a weakened South Asia monsoon including the weakening 383 of climatological westerly jet, heat-low and even precipitation in South Asia (Fig. 16), which can be 384 regarded as a response to suppressed tropical uplift under future conditions (Fig. 14). 385 Interestingly, cyclonic circulation anomalies C0, seemingly a heat low in the future changes, 386 are found at 500 hpa over the Tibetan Plateau and high lands on the north of A1 (Fig. 14). Projected 387 westerlies between C0 and A1 are accompanied with increase of upward motion and precipitation 388 over northeastern South Asia (Figs. 14 and 16). Similarly, C1 and C1 during June to August may be 389 formed by increased land surface temperatures under global warming summer, which are larger than 390 those over the oceans (Endo et al. 2018). 391 Asian-Pacific monsoon is affected by global warming through many processes such as 392 land-ocean heat contrast, SST distribution and convective activity (e.g. Endo et al. 2018; Ose and 393 Arakawa 2011). Therefore, future change in Asian-Pacific monsoon does not necessarily have 394 similarity to its inter-annual variations nor to its seasonal change. How to describe the future 395 changes in Asian-Pacific monsoon may be dependent on their definitions. The projected southerly 396 winds at the upper-level of East Asia (Fig. 15) is against the present-day climatological northerly 397 winds. This fact clearly indicates weaken Asia-Pacific monsoon in East Asia in view of meridional 398 winds in East Asia. The future change toward northerly winds over the ocean at the lower-level of 19

399 East Asia (Fig. 16) is reverse to the present-day climatological southerly winds, also indicating 400 weaken Asia-Pacific monsoon. However, the strengthened southerly winds are projected over some 401 regions of the eastern continent at the lower-level (Fig. 16), suggesting strengthened Asia-Pacific 402 monsoon. 403 In summary, while the projected C2 seem to be consistent with the delayed northward 404 migration of the upper-level Pacific jet (Fig. 15), the C1 is more similar to the future change in the 405 lower-level circulation (Fig. 16) than the upper-level one (Fig. 15). An inference is that the 406 southerly wind zone of C1 is a part of the low-level strengthened monsoon circulation over the 407 eastern continent whereas the northerly wind zone of C2 reflects the weaken Asia-Pacific monsoon 408 circulation over the western North Pacific. 409 410 4.2 Differences among the models in projections of future precipitation 411 Whereas the model-dependent positions and extensions of C1 and C2 give rise to clear 412 inconsistencies among projections of monthly mean precipitation over Japan, such discrepancies are 413 not evident over the eastern continental regions, as described above. The principal reason for this 414 difference is that anticipated changes in Japanese precipitation are highly sensitive to the effects of 415 C2, which tend to cancel the wet-get-wetter effect. 416 Future atmospheric conditions in details, such as magnitude and locations of C1 and C2, are 417 apparently uncertain because of many unknown processes involved in future changes, compared 418 with the present-day climatology simulations to be confirmed in modeling process and moisture 20

419 increase in future warmer climatology. For example, the YS-simulated movement of C2 during June 420 to July is contrary to the simple northward shift predicted by the ensemble mean (Figs. 9 and 10). 421 While it might be possible to explore the cause of such inconsistencies, this does not necessarily 422 lead to identify the most appropriate model for projecting future climate. Furthermore, any 423 assessment of anticipated atmospheric circulation must include uncertainty due to future SST 424 changes and inter-annual atmospheric variability. 425 426 5. Summary 427 Global warming simulations undertaken using the MRI-AGCM3.2H provide the basis for 428 estimating likely changes in monthly summer (June August) precipitation over East Asia. The 429 common qualitative characteristics of projected monthly precipitation were assessed by analyzing 430 the three-model ensemble of the YS, KF, and AS cumulus schemes. Rather than focusing on the 431 statistical significance of output and model reliability, the objective of this study is to provide a 432 refined understanding and qualified explanation of future summer precipitation changes, as such 433 understanding may be useful assessing the findings of subsequent model runs. The main 434 conclusions are summarized as follows. 435 436 General features of projected changes in summer precipitation in East Asia are summarized as 437 Wet and dry effects relating to projected changes in mean vertical motion, as well as the 438 wet-get-wetter effect driven by an overall increase in moisture, are fundamental processes in 21

439 simulations of future precipitation patterns over East Asia. 440 Future changes in mean vertical motion are attributable to those of mean adiabatic vertical 441 motion, as estimated from a 25-year monthly average horizontal circulation at 500 hpa. This 442 result is consistent with the study by Ose (2017) based on Sampe and Xie (2010). 443 Over Japan, summer precipitation is projected to decrease in response to downward-motion 444 tendency, which tends to cancel out the wet-get-wetter effect in the present-day Baiu region. 445 This offset process leads to large uncertainty due to model dependence, concerning whether 446 precipitation increases or decreases regionally. For the regions of Japan dominated by both the 447 wet-get-wetter effect and an anticipated change toward upward (or weak) motion, all three 448 models predict an overall increase in precipitation consistently. 449 Over the majority of continental East Asia, summertime precipitation is projected to increase in 450 response to both the upward-motion tendency and the wet-get-wetter effect as well as the 451 increased evaporation. 452 453 Summaries for future changes in monthly summertime atmospheric circulation over East Asia 454 are given as 455 Simulated future changes of horizontal atmospheric circulation at 500 hpa are characterized by 456 two cyclonic circulation anomalies, one oriented north-south over the eastern continent (C1) 457 and a second extending east-west over the western North Pacific Ocean (C2). By comparison to 458 the present-day climatology, it is inferred that the southerly wind zone of C1 is a part of the 22

459 low-level strengthened monsoon circulation over the eastern continent in East Asia whereas the 460 C2 indicating the delayed migration of the Pacific jet and northerly air flow in East Asia 461 reflects the weaken Asia-Pacific monsoon circulation over the western North Pacific under 462 global warming conditions. 463 Between June and August, the western edge of C2 shifts from a position south of Japan to 464 northernmost Japan, representing a delayed northward migration or southward shift of the 465 westerly jet over the western North Pacific. Most regions of Japan are impacted by the 466 northerly air flow of C2 during summer months, indicating drier effects due to the downward 467 motion tendency in Japan against the wet-get-wetter effect in East Asia. 468 C1 distributes over northeastern China in June, and central and southern China in July and 469 August, respectively. C1 appears to be more closely related to projected changes in the lower 470 circulation (850 hpa) than the upper westerly jet (200 hpa). As most eastern continental regions 471 are located in the southerly wind zone of C1 during the summer, future conditions are likely to 472 include the upward-motion tendency, indicating increased precipitation. 473 474 Projected monthly precipitation changes over Japan are summed up as 475 During June, C2 is simulated to expand eastward from a position south of Japan, indicating a 476 likely southward shift of the westerly jet and Baiu precipitation in future years. Whereas this 477 process may result in decreased precipitation in central Japan, precipitation is projected to 478 increase over southern Japan via the wet-get-wetter effect, particularly pronounced over the 23

479 Southwest Islands with the help of the C2-derived southward shift of the Baiu. 480 The eastward expansion of C2 during July, from its locus over central Japan, suggests a 481 possible future decrease in precipitation over parts of central Japan, whereas the 482 wet-get-wetter effect serves to increase precipitation in northern area and Pacific side of the 483 archipelago. Furthermore, the positioning of C1 over central China also tends to enhance 484 precipitation over the Southwest Islands and western Japan, in addition to parts of northern 485 Japan. 486 During August, a dry effect related to the downward motion area of C2 drives a decrease in 487 precipitation on the Pacific margin of Japan in the future. However, this process is restricted to 488 eastern Japan, whereas western Japan and possibly the Japan Sea side of Japan are projected to 489 experience increased precipitation under the wet-get-wetter effect. 490 491 Monthly precipitation changes over the eastern continent are summarized as 492 In June, the wet-get-wetter effect is projected to impact the present-day Meiyu region of 493 southern China, while the dry-get-drier effect will likely influence northern China. Combined 494 with the wet effect of C1 centered over southern China, precipitation is projected to increase 495 significantly there in future years. Consequently, the upward and downward motion tendencies 496 of C1 produce contrasting wet and possible dry conditions over northeastern and 497 central-interior China, respectively. 498 In July, while the wet-get-wetter effect appears over northeastern China, central China, and 24

499 Korea following the present-day precipitation pattern in July, the dry-get-drier effect exists 500 but weakens over northern China. The upward-motion tendency of C1 contributes to wetter 501 future climatology in northern China. Ultimately, a general increase in precipitation is 502 anticipated from northeastern China to central China and Korea. 503 During August, the general weakening of the wet-get-wetter effect over the eastern continent 504 is countered by sustained upward motion east of C1 in central China, so that a general increase 505 in precipitation is projected from northeastern China to central China and Korea. 506 507 This study was conducted using three versions of MRI-AGCM with different cumulus 508 schemes, to exploit their high resolution and demonstrated efficacy for simulating present-day 509 conditions over East Asia. The three models produce a high degree of consistency among their 510 respective simulations of future precipitation and atmospheric circulation under global warming 511 conditions. Nonetheless, those may not have enough diversity in model performances. In 512 atmosphere ocean coupling, it is possible that daily SST fluctuations influence convective 513 precipitation, which is not considered in the MRI-AGCM simulations. Therefore, comparative 514 studies of projected global warming impacts using, for example, CMIP5 and the forthcoming the 515 sixth phase of CMIP (CMIP6), are warranted, although much attention should be paid to realization 516 of simulated SST fluctuations as well as their present-day climatology simulations. 517 25

518 Acknowledgments 519 This work was supported by the Theme-C Integrated Research Program for Advancing Climate 520 Models (TOUGOU) of the Ministry of Education, Culture, Sports, Science, and Technology 521 (MEXT) of Japan. 522 523 References 524 525 Adler, R. F., G. J. Huffman, A. Chang, R. Ferraro, P. P. Xie, J. Janowiak, B. Rudolf, U. Schneider, S. 526 Curtis, D. Bolvin, A. Gruber, J. Susskind, P. Arkin, and E. Nelkin, 2003: The version-2 global 527 precipitation climatology project (GPCP) monthly precipitation analysis (1979-present). J. 528 Hydrometer, 4, 1147-1167. 529 Emori, S, and S. J. Brown, 2005: Dynamic and thermodynamic changes in mean and extreme 530 precipitation under changed climate. Geophys. Res. Lett., 32, L17706 531 doi:10.1029/2005gl023272. 532 Endo, H., A. Kitoh, and H. Ueda, 2018: A unique feature of the Asian summer monsoon response to 533 global warming: The role of different land-sea thermal contrast change between the lower and 534 upper troposphere. SOLA, 14, 59-65. 535 Endo, H., and A. Kitoh, 2014: Thermodynamic and dynamic effects on regional monsoon rainfall 536 changes in a warmer climate. Geophys. Res. Lett., 41, 1704-1710. 537 Endo, H., A. Kitoh, T. Ose, R. Mizuta, and S. Kusunoki, 2012: Future changes and uncertainties in 26

538 Asian precipitation simulated by multiphysics and multi-sea surface temperature ensemble 539 experiments with high-resolution Meteorological Research Institute atmospheric general 540 circulation models (MRI-AGCMs). J. Geophys. Res., 117, D16118. 541 Endo, H., 2012: Future changes of Yamase bringing unusually cold summers over northeastern 542 Japan in CMIP3 multi-models. J. Meteor. Soc. Japan, 90A, 123-136. 543 Held, I. M., and B. J. Soden, 2006: Robust responses of the hydrological cycle to global warming. J. 544 Climate, 19, 5686-5699. 545 Hirahara, S., H. Ohno, Y. Oikawa, and S. Maeda, 2012: Strengthening of the southern side of the jet 546 stream and delayed withdrawal of Baiu season in future climate. J. Meteor. Soc. Japan, 90, 547 663-671. 548 Horinouchi, T., and A. Hayashi, 2017: Meandering subtropical jet and precipitation over 549 summertime East Asia and the northwestern Pacific. J. Atmos. Sci., 74, 1233-1247. 550 IPCC, 2013: Climate Change 2013: the physical science basis. Contribution of working group I to 551 the fifth assessment report of the intergovermental panel on climate change. Stocker T. F., Qin D., 552 Plattner G. K., Tignor M., Allen S. K., Boschung J., Nauels A., Xia Y., Bex V., Midgley P. M. 553 (eds) Cambridge University Press, Cambridge, pp.1535. 554 Japan Meteorological Agency, 2007: Outline of the operational numerical weather prediction at the 555 Japan Meteorological Agency. Appendix to WMO numerical weather prediction progress report. 556 pp.194. 557 Kain J. S., and J. M. Fritsch, 1990: A one-dimensional entraining / detraining plume model and its 27

558 application in convective parameterization. J. Atmos. Sci., 47, 2784-2802. 559 Kamae, Y., M. Watanabe, M. Kimoto, and H. Shiogama, 2014: Summertime land-sea thermal 560 contrast and atmospheric circulation over East Asia in a warming climate Part I: past changes 561 and future projections. Clim. Dyn., 43, 2553-2568. 562 Kimoto, M., 2005: Simulated change of the east Asian circulation under global warming scenario. 563 Geophys. Res. Lett., 32, L16701, doi:10.1029/2005gl023383. 564 Kitoh, A., T. Ose, and I. Takayabu, 2016: Dynamical downscaling for climate projection with 565 high-resolution MRI AGCM-RCM. J. Meteor. Soc. Japan, 94A, 1-16. 566 Kitoh, A., and T. Uchiyama, 2006: Changes in onset and withdrawal of the East Asian summer rainy 567 season by multi-model global warming experiments. J. Meteor. Soc. Japan, 84, 247-258. 568 Kitoh, A., S. Yukimoto, A. Noda, and T. Motoi, 1997: Simulated changes in the Asian summer 569 monsoon at times of increased atmospheric CO2. J. Meteor. Soc. Japan, 75, 1019-1031. 570 Kobayashi, S., Y. Ota, Y. Harada, A. Ebita, M. Moriya, H. Onoda, K. Onogi, H. Kamahori, C. 571 Kobayashi, H. Endo, K. Miyaoka, and K. Takahashi, 2015: The JRA-55 reanalysis: general 572 specifications and basic characteristics. J. Meteor. Soc. Japan, 93, 5-48. 573 Kusunoki, S., 2017: Future changes in precipitation over East Asia projected by the global 574 atmospheric model MRI-AGCM3.2. Clim. Dyn., doi:10.s00382-016-3499-3. 575 Kusunoki, S., 2016: Is the global atmospheric model MRI-AGCM3.2 better than the CMIP5 576 atmospheric models in simulating precipitation over East Asia? Climate Dyn., 577 doi:10.1007/s00382-016-3335-9. 28

578 Mizuta, R., O. Arakawa, T. Ose, S. Kusunoki, H. Endo, and A. Kitoh, 2014: Classification of 579 CMIP5 future climate responses by the tropical sea surface temperature changes. SOLA, 10, 580 167-171, doi:10.2151/sola.2014-035. 581 Mizuta, R., H. Yoshimura, H. Murakami, M. Matsueda, H. Endo, T. Ose, K. Kamiguchi, M. Hosaka, 582 M. Sugi, S. Yukimoto, S. Kusunoki, and A. Kitoh, 2012: Climate simulations using 583 MRI-AGCM3.2 with 20-km grid. J. Meteor. Soc. Japan, 90A, 233-258. 584 Okada Y., T. Takemi, H. Ishikawa, S. Kusunoki, and R. Mizuta, 2017: Future changes in 585 atmospheric conditions for the seasonal evolution of the Baiu as revealed from projected AGCM 586 experiments. J. Meteor. Soc. Japan, 95, 239-260. 587 Ose T., 2017: Future precipitation changes during summer in East Asia and model dependence in 588 high-resolution MRI-AGCM experiments. Hydro. Res. Lett., 11, 168-174. 589 Ose T., and O. Arakawa, 2011: Uncertainty of future precipitation change due to global warming 590 associated with sea surface temperature change in the tropical Pacific. J. Meteor. Soc. Japan, 89, 591 539-552. 592 Pan D.-M., and D. A. Randall, 1998: A cumulus parameterization with a prognostic closure. Quart. 593 J. Roy. Meteor. Soc., 124, 949-981. 594 Sampe T., and S.-P. Xie, 2010: Large-scale dynamics of the Meiyu-Baiu rainband: environmental 595 forcing by the westerly jet. J. Climate, 23, 113-134. 596 Seager, R., N. Naik, and G. A. Vecchi, 2010: Thermodynamic and dynamic mechanisms for 597 large-scale changes in the hydrological cycle in response to global warming. J. Climate, 23, 29

598 4651-4668. 599 Tiedtke M., 1989: A comprehensive mass flux scheme for cumulus parameterization in large-scale 600 models. Mon. Wea. Rev., 117, 1779-1800. 601 Vecchi, G. A., and B. J. Soden, 2007: Global warming and the weakening of the tropical circulation. 602 J. Climate, 20, 4316-4340. 603 Wang, Y., and T. Yasunari, 1994: A diagnostic analysis of the wave train propagating from 604 high-latitudes to low-latitudes in early summer. J. Meteor. Soc. Japan, 72, 269-279. 605 Yoshimura, H., R. Mizuta, and H. Murakami, 2015: A spectral cumulus parameterization scheme 606 interpolating between two convective updrafts with semi-lagrangian calculation of transport by 607 compensatory subsidence. Mon. Wea. Rev., 143, 597-621. 608 Zhou, S., G. Huang, and P. Huang, 2017: Changes in the East Asian summer monsoon rainfall under 609 global warming: moisture budget decomposition and the sources of uncertainty. Clim. Dyn., doi 610 10.1007/s00382-017-3959-4. 611 612 30

613 List of Figures 614 615 Fig. 1 Present-day precipitation climatology over East Asia during the 25-year period 1980 2004. 616 The figure shows the three-model ensemble mean (shading) and GPCP observed values 617 (contours) for (a) the JJA average, (b) June, (c) July, and (d) August in mm day 1. Contours are 618 only for 2,4,6,8 and10 mm day -1. 619 620 621 622 623 Fig. 2 Simulated changes in the three-model ensemble mean precipitation from the period 1980 2004 to 2075 2099 for (a) the JJA average, (b) June, (c) July, and (d) August (shading). Contours represent the present-day climatology. All values are in mm day 1. Contours are only for -0.5, 0.0 and 0.5 mm day -1. 624 625 626 627 628 Fig. 3 Projected future changes in the three-model ensemble mean precipitation-minus-evaporation (contours) and the right-hand side of Eq. (1) (shading). Values are shown for (a) the JJA average, (b) June, (c) July and (d) August in mm day 1. Contours are for -2.0, -1.0, 0.0, 1.0 and 2.0 mm day -1. 629 630 631 Fig. 4 As for Fig. 3 but with Eq. (2) represented by shading. 632 633 634 635 636 637 Fig. 5 Projected future changes in the three-model ensemble mean of the stream-function at 500 hpa (10 6 m 2 s 1 ) (contours). C1, C1, and C2 denote cyclonic circulation anomalies whereas A2 represents anticyclonic circulation anomalies. Shading depicts vertical velocity changes in the pressure coordinate (hpa hour 1 ) during the 25-year period, estimated adiabatically from Eq. (3) for 6-hour intervals. The values shown are for (a) the JJA average, (b) June, (c) July, and (d) August. 31

638 639 Fig. 6 As for Fig. 5 but with shading representing projected future changes in vertical velocity, 640 estimated adiabatically from the 25-year monthly average. 641 642 643 644 Fig. 7 Fig. 8 As for Fig. 5 but with Eq. (4) represented by shading. As for Fig. 5 but with future changes in the three-model ensemble mean precipitation (mm 645 646 day 1 ) represented by shading. Values are shown for (a) the JJA average, (b) June, (c) July, and (d) August. 647 648 Fig. 9 Projected future changes in the stream-function at 500 hpa (10 6 m 2 s 1 ) for the month of 649 650 651 652 653 654 June (contours). C1, C1, and C2 denote cyclonic circulation anomalies, whereas A2 represents anticyclonic circulation anomalies. Future changes in June precipitation (mm day 1 ) are depicted by shading. Values are shown for the (a) three-model ensemble mean, (b) YS model, (c) KF model, and (d) AS model. Shading in (a) represents agreement among the three models. Specifically, yellow/blue shading indicates future increases/decreases in precipitation are projected commonly by all of the three models. 655 656 Fig. 10 As for Fig. 9 but for July. 657 658 659 660 661 662 Fig. 11 Projected future changes in the stream-function at 500 hpa (10 6 m 2 s 1 ) for July (contours). C1, C1, and C2 denote cyclonic circulation anomalies, whereas A0, A1, and A2 are anticyclonic circulation anomalies. Shading represents projected changes in vertical velocity in the pressure coordinate (hpa hour 1 ). Values are shown for the (a) three-model ensemble mean, (b) YS model, (c) KF model, and (d) AS model. 663 32

664 Fig. 12 As for Fig. 9 but for August. 665 666 667 668 669 Fig. 13 Projected future changes in the three-model ensemble mean of 25-year average zonal wind velocity over East Asia from the period 1980 2004 to 2075 2099. Values are shown for (a) the JJA average, (b) June, (c) July, and (d) August (shading). Thin/thick contours represent the present-day climatology simulations/observations by JRA-55. All units are m s 1. 670 671 672 673 674 Fig. 14 Projected future changes in the three-model ensemble mean of 25-year average stream-function at 500hPa from the period 1980 2004 to 2075 2099 for (a) the JJA average, (b) June, (c) July, and (d) August (contours). Contour intervals are 0.4 m 2 s -1. Shadings represent the same but for the future change in vertical pressure velocity. Units are hpa hour -1. 675 676 677 678 679 Fig. 15 The same as Fig. 14 except for the future change in stream-function at 200 hpa (contours with intervals of 0.8 m 2 s -1 ) and the present day climatological zonal wind at 200hPa (shadings). Units for zonal wind are m s -1. C denotes cyclonic circulation anomalies, whereas A is anticyclonic circulation anomalies. 680 681 682 683 684 Fig. 16 The same as Fig. 14 except for the future changes in stream-function at 850 hpa (black contours) and precipitation (shadings). Units for precipitation are mm day -1. Green contours indicate high lands over 850 hpa level. C denotes cyclonic circulation anomalies, whereas A is anticyclonic circulation anomalies. 685 686 687 33

688 List of Tables 689 690 Table 1 Principal areas of Japan where increased and decreased monthly precipitation is detected 691 by the three-model ensemble mean, as shown in Fig. 2. Bold letters depict the areas for which 692 there is consistency among model simulations, judged based on Figs. 9a, 10a and 12a. 693 694 Table 2 Classifications of the areas listed in Table 1, based on contributions from the 695 wet-get-wetter effect and circulation changes. Bold letters are as in Table 1. 696 697 34

698 Table 1 Principal areas of Japan where increased and decreased monthly precipitation is detected 699 by the three-model ensemble mean, as shown in Fig. 2. Bold letters depict the principal areas for 700 which there is consistency among model simulations, judged based on Figs. 9a, 10a and 12a. 701 702 Month Increased precipitation area Decreased precipitation area June July August (1) southern Japan including Southwest Islands (1) Southwest Islands (2) northern Japan (3) western Japan (4) Pacific Ocean side (1) western Japan (2) Japan Sea side (1) central Japan (1) central Japan partly (1) Pacific Ocean side partly 703 704 35

705 Table 2 Classification of the areas in Table 1 based on contribution from the wet-get-wetter 706 effect and the circulation change. Bold letters are the same as Table 1. 707 Month Increase by Increase by Decrease by Decrease by Wet-get-wetter Circulation Change Dry-get-drier Circulation effect effect Change June (1) southern Japan (1) Southwest (1) central including Islands Japan Southwest Islands July (1) Southwestern Islands (1) Southwest (1) central Japan (2) northern Japan Islands partly (3) western Japan (2) northern (4) Pacific Ocean side Japan partly August (1) western Japan (1) Pacific (2) Japan Sea side Ocean side partly 708 709 710 711 36

712 713 714 715 Fig. 1 Present-day precipitation climatology over East Asia during the 25-year period 1980 2004. 716 The figure shows the three-model ensemble mean (shading) and GPCP observed values 717 (contours) for (a) the JJA average, (b) June, (c) July, and (d) August in mm day 1. Contours 718 are only for 2,4,6,8 and 10 mm day -1. 719 37

720 721 722 723 724 725 726 727 728 Fig. 2 Simulated changes in the three-model ensemble mean precipitation (shading) and precipitation-minus-evaporation (contours) from the period 1980 2004 to 2075 2099 for (a) the JJA average, (b) June, (c) July, and (d) August. All values are in mm day 1. Contours are only for -0.5, 0.0 and 0.5 mm day -1. 38

729 730 731 732 733 734 Fig. 3 Projected future changes in the three-model ensemble mean precipitation-minus-evaporation (contours) and the right-hand side of Eq. (1) (shading). Values are shown for (a) the JJA average, (b) June, (c) July and (d) August in mm day 1. Contours are only for -2.0, -1.0, 0.0, 1.0 and 2.0 mm day -1. 735 736 39

737 738 739 740 Fig. 4 As for Fig. 3 but with Eq. (2) represented by shading. 741 40

742 743 744 745 746 747 748 749 Fig. 5 Projected future changes in the three-model ensemble mean of the stream-function at 500 hpa (10 6 m 2 s 1 ) (contours). C1, C1, and C2 denote cyclonic circulation anomalies whereas A2 represents anticyclonic circulation anomalies. Shading depicts vertical velocity changes in the pressure coordinate (hpa hour 1 ) during the 25-year period, estimated adiabatically from Eq. (3) for 6-hour intervals. The values shown are for (a) the JJA average, (b) June, (c) July, and (d) August. 750 751 41

752 753 754 Fig. 6 As for Fig. 5 but with shading representing projected future changes in vertical velocity, 755 estimated adiabatically from the 25-year monthly average. 756 757 42

758 759 760 761 Fig. 7 As for Fig. 5 but with Eq. (4) represented by shading. 762 43

763 764 765 Fig. 8 As for Fig. 5 but with future changes in the three-model ensemble mean precipitation (mm 766 767 day 1 ) represented by shading. Values are shown for (a) the JJA average, (b) June, (c) July, and (d) August. 768 769 44

770 771 772 Fig. 9 Projected future changes in the stream-function at 500 hpa (10 6 m 2 s 1 ) for the month of 773 774 775 776 777 778 June (contours). C1, C1, and C2 denote cyclonic circulation anomalies, whereas A2 represents anticyclonic circulation anomalies. Future changes in June precipitation (mm day 1 ) are depicted by shading. Values are shown for the (a) three-model ensemble mean, (b) YS model, (c) KF model, and (d) AS model. Shading in (a) represents agreement among the three models. Specifically, yellow/blue shading indicates future increases/decreases in precipitation are projected commonly by all of the three models. 779 780 45

781 782 783 Fig. 10 As for Fig. 9 but for July. 784 785 46

786 787 788 789 790 791 792 Fig. 11 Projected future changes in the stream-function at 500 hpa (10 6 m 2 s 1 ) for July (contours). C1, C1, and C2 denote cyclonic circulation anomalies, whereas A0, A1, and A2 are anticyclonic circulation anomalies. Shading represents projected changes in vertical velocity in the pressure coordinate (hpa hour 1 ). Values are shown for the (a) three-model ensemble mean, (b) YS model, (c) KF model, and (d) AS model. 793 794 47

795 796 797 Fig. 12 As for Fig. 9 but for August. 798 799 48

800 801 802 803 804 805 Fig. 13 Projected future changes in 25-year average zonal wind velocity over East Asia from the period 1980 2004 to 2075 2099. Values are shown for (a) the JJA average, (b) June, (c) July, and (d) August (shading). Thin/thick contours represent the present-day climatology simulations/observations by JRA-55. All units are m s 1. 806 49

807 808 809 810 811 812 813 814 Fig. 14 Projected future changes in the three-model ensemble mean of 25-year average stream-function at 500hPa from the period 1980 2004 to 2075 2099 for (a) the JJA average, (b) June, (c) July, and (d) August (contours). Contour intervals are 0.4 m 2 s -1. C0, C1, C1, and C2 denote cyclonic circulation anomalies, whereas A0, A1, and A2 are anticyclonic circulation anomalies. Shadings represent the same but for the future change in vertical pressure velocity. Units are hpa hour -1. 815 50

816 817 818 819 820 821 Fig. 15 The same as Fig. 14 except for the future change in stream-function at 200 hpa (contours with intervals of 0.8 m 2 s -1 ) and the present day climatological zonal wind at 200hPa (shadings). Units for zonal wind are m s -1. C denotes cyclonic circulation anomalies, whereas A is anticyclonic circulation anomalies. 822 51

823 824 825 826 827 828 Fig. 16 The same as Fig. 14 except for the future changes in stream-function at 850 hpa (black contours) and precipitation (shadings). Units for precipitation are mm day -1. Green contours indicate high lands over 850 hpa level. C denotes cyclonic circulation anomalies, whereas A is anticyclonic circulation anomalies. 829 830 831 52