A. Katzenberger, J. Schewe, J. Pongratz, A. Levermann
{"title":"CMIP6模式显示未来变暖下印度季风降雨的强劲增加及其变率","authors":"A. Katzenberger, J. Schewe, J. Pongratz, A. Levermann","doi":"10.5194/ESD-12-367-2021","DOIUrl":null,"url":null,"abstract":"Abstract. The Indian summer monsoon is an integral part of the global climate system. As its seasonal rainfall plays a crucial role in India's agriculture and shapes many other aspects of life, it affects the livelihood of a fifth of the world's population. It is therefore highly relevant to assess its change under potential future climate change. Global climate models within the Coupled Model Intercomparison Project Phase 5 (CMIP5) indicated a consistent increase in monsoon rainfall and its variability under global warming. Since the range of the results of CMIP5 was still large and the confidence in the models was limited due to partly poor representation of observed rainfall, the updates within the latest generation of climate models in CMIP6 are of interest. Here, we analyze 32 models of the latest CMIP6 exercise with regard to their annual mean monsoon rainfall and its variability. All of these models show a substantial increase in June-to-September (JJAS) mean rainfall under unabated climate change (SSP5-8.5) and most do also for the other three Shared Socioeconomic Pathways analyzed (SSP1-2.6, SSP2-4.5, SSP3-7.0). Moreover, the simulation ensemble indicates a linear dependence of rainfall on global mean temperature with a high agreement between the models independent of the SSP if global warming is the dominant forcing of the monsoon dynamics as it is in the 21st century; the multi-model mean for JJAS projects an increase of 0.33 mm d −1 and 5.3 % per kelvin of global warming. This is significantly higher than in the CMIP5 projections. Most models project that the increase will contribute to the precipitation especially in the Himalaya region and to the northeast of the Bay of Bengal, as well as the west coast of India. Interannual variability is found to be increasing in the higher-warming scenarios by almost all models. The CMIP6 simulations largely confirm the findings from CMIP5 models, but show an increased robustness across models with reduced uncertainties and updated magnitudes towards a stronger increase in monsoon rainfall.","PeriodicalId":11466,"journal":{"name":"Earth System Dynamics Discussions","volume":"118 1","pages":"367-386"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"75","resultStr":"{\"title\":\"Robust increase of Indian monsoon rainfall and its variability under future warming in CMIP6 models\",\"authors\":\"A. Katzenberger, J. Schewe, J. Pongratz, A. Levermann\",\"doi\":\"10.5194/ESD-12-367-2021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. The Indian summer monsoon is an integral part of the global climate system. As its seasonal rainfall plays a crucial role in India's agriculture and shapes many other aspects of life, it affects the livelihood of a fifth of the world's population. It is therefore highly relevant to assess its change under potential future climate change. Global climate models within the Coupled Model Intercomparison Project Phase 5 (CMIP5) indicated a consistent increase in monsoon rainfall and its variability under global warming. Since the range of the results of CMIP5 was still large and the confidence in the models was limited due to partly poor representation of observed rainfall, the updates within the latest generation of climate models in CMIP6 are of interest. Here, we analyze 32 models of the latest CMIP6 exercise with regard to their annual mean monsoon rainfall and its variability. All of these models show a substantial increase in June-to-September (JJAS) mean rainfall under unabated climate change (SSP5-8.5) and most do also for the other three Shared Socioeconomic Pathways analyzed (SSP1-2.6, SSP2-4.5, SSP3-7.0). Moreover, the simulation ensemble indicates a linear dependence of rainfall on global mean temperature with a high agreement between the models independent of the SSP if global warming is the dominant forcing of the monsoon dynamics as it is in the 21st century; the multi-model mean for JJAS projects an increase of 0.33 mm d −1 and 5.3 % per kelvin of global warming. This is significantly higher than in the CMIP5 projections. Most models project that the increase will contribute to the precipitation especially in the Himalaya region and to the northeast of the Bay of Bengal, as well as the west coast of India. Interannual variability is found to be increasing in the higher-warming scenarios by almost all models. 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引用次数: 75
摘要
摘要印度夏季风是全球气候系统的一个组成部分。它的季节性降雨在印度的农业和生活的许多其他方面起着至关重要的作用,它影响着世界五分之一人口的生计。因此,评估其在未来潜在气候变化下的变化具有高度相关性。耦合模式比对项目(CMIP5)第5阶段的全球气候模式表明,在全球变暖背景下,季风降水及其变率持续增加。由于CMIP5的结果范围仍然很大,而且由于观测降雨量的部分代表性较差,模式的可信度有限,因此CMIP6最新一代气候模式的更新值得关注。在这里,我们分析了最新CMIP6演习的32个模式的年平均季风降雨量及其变率。所有这些模型都显示,在未减弱的气候变化(SSP5-8.5)下,6 - 9月(JJAS)的平均降雨量大幅增加,并且大多数模型也对其他三个共享社会经济路径(SSP1-2.6, SSP2-4.5, SSP3-7.0)进行了分析。此外,如果全球变暖是21世纪季风动力学的主导强迫,那么模拟集合表明降雨对全球平均温度的线性依赖与独立于SSP的模式之间的高度一致性;JJAS预测的多模式平均值增加了0.33 mm d - 1和5.3% / kelvin的全球变暖。这明显高于CMIP5的预测。大多数模式预测,这种增加将有助于降水,特别是在喜马拉雅地区和孟加拉湾东北部,以及印度西海岸。几乎所有模式都发现在高变暖情景中年际变率在增加。CMIP6模拟在很大程度上证实了CMIP5模式的发现,但显示出各模式的鲁棒性增强,不确定性降低,季风降雨增加更强。
Robust increase of Indian monsoon rainfall and its variability under future warming in CMIP6 models
Abstract. The Indian summer monsoon is an integral part of the global climate system. As its seasonal rainfall plays a crucial role in India's agriculture and shapes many other aspects of life, it affects the livelihood of a fifth of the world's population. It is therefore highly relevant to assess its change under potential future climate change. Global climate models within the Coupled Model Intercomparison Project Phase 5 (CMIP5) indicated a consistent increase in monsoon rainfall and its variability under global warming. Since the range of the results of CMIP5 was still large and the confidence in the models was limited due to partly poor representation of observed rainfall, the updates within the latest generation of climate models in CMIP6 are of interest. Here, we analyze 32 models of the latest CMIP6 exercise with regard to their annual mean monsoon rainfall and its variability. All of these models show a substantial increase in June-to-September (JJAS) mean rainfall under unabated climate change (SSP5-8.5) and most do also for the other three Shared Socioeconomic Pathways analyzed (SSP1-2.6, SSP2-4.5, SSP3-7.0). Moreover, the simulation ensemble indicates a linear dependence of rainfall on global mean temperature with a high agreement between the models independent of the SSP if global warming is the dominant forcing of the monsoon dynamics as it is in the 21st century; the multi-model mean for JJAS projects an increase of 0.33 mm d −1 and 5.3 % per kelvin of global warming. This is significantly higher than in the CMIP5 projections. Most models project that the increase will contribute to the precipitation especially in the Himalaya region and to the northeast of the Bay of Bengal, as well as the west coast of India. Interannual variability is found to be increasing in the higher-warming scenarios by almost all models. The CMIP6 simulations largely confirm the findings from CMIP5 models, but show an increased robustness across models with reduced uncertainties and updated magnitudes towards a stronger increase in monsoon rainfall.