<p>The potential impact of future changes in the monsoon domains due to climate change on two-thirds of the global population should not be overlooked. However, the performance of the NEX-GDDP-CMIP6 dataset in identifying the monsoon domain has not been evaluated. The assessments of the spatial shift of the future monsoon domain are lacking. In this study, projections from 20 state-of-the-art climate models from NEX-GDDP-CMIP6 under four scenarios were assessed and used to detect future climatological and spatial changes of the monsoon domain coverage. The impact of future monsoons on global land is demonstrated through probability perspective by using a multivariate probabilistic framework. Future shift of the global land monsoon domain was detected by probability changes. Results showed that the coverage of the global land monsoon domain derived from NEX-GDDP-CMIP6 projections had only a 5% bias compared to the GPCC dataset (based on globally observed station-level data). The uncertainty between projections of the NEX-GDDP-CMIP6 model was minimal. According to these projections, global land monsoon coverage is expected to increase in the future, with significant increases in the near-term (2021–2040) and mid-term (2041–2060), while the rate of growth is expected to slow down in the long-term (2081–2100). The largest increase (7.2%) in coverage occurred under the high-emissions scenario (SSP5-8.5). The probability would increase at the boundary in most monsoon regions, indicating an expansion change. The expansion of the global land monsoon domain can result in increased precipitation and unstable weather systems. Hence, the projected shift in the global land monsoon domain under future climate change is crucial for formulating climate change response strategies.</p>

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Zonal expansion of global land monsoon domain under future changing climate from a probabilistic perspective

  • Qinyao Hou,
  • Lei Cheng,
  • Lu Zhang,
  • Pan Liu

摘要

The potential impact of future changes in the monsoon domains due to climate change on two-thirds of the global population should not be overlooked. However, the performance of the NEX-GDDP-CMIP6 dataset in identifying the monsoon domain has not been evaluated. The assessments of the spatial shift of the future monsoon domain are lacking. In this study, projections from 20 state-of-the-art climate models from NEX-GDDP-CMIP6 under four scenarios were assessed and used to detect future climatological and spatial changes of the monsoon domain coverage. The impact of future monsoons on global land is demonstrated through probability perspective by using a multivariate probabilistic framework. Future shift of the global land monsoon domain was detected by probability changes. Results showed that the coverage of the global land monsoon domain derived from NEX-GDDP-CMIP6 projections had only a 5% bias compared to the GPCC dataset (based on globally observed station-level data). The uncertainty between projections of the NEX-GDDP-CMIP6 model was minimal. According to these projections, global land monsoon coverage is expected to increase in the future, with significant increases in the near-term (2021–2040) and mid-term (2041–2060), while the rate of growth is expected to slow down in the long-term (2081–2100). The largest increase (7.2%) in coverage occurred under the high-emissions scenario (SSP5-8.5). The probability would increase at the boundary in most monsoon regions, indicating an expansion change. The expansion of the global land monsoon domain can result in increased precipitation and unstable weather systems. Hence, the projected shift in the global land monsoon domain under future climate change is crucial for formulating climate change response strategies.