Thus, one of the key elements in the understanding of future landslide patterns is to understand the dynamics of the monsoon with climate change – i.e. under future warming.\u00a0 If the monsoon is likely to intensify then we might see more landslides through time.\u00a0 And of course vice versa.\u00a0 The pattern is not simple of course; the monsoon could weaken but rainfall intensity could increase.\u00a0 So understanding the dynamics of the monsoon is key.<\/p>\n
A new open access paper has just been published in the journal Earth System Dynamics<\/a> (Katzenberger et al.<\/em> 2021<\/a>) that examines the dynamics of the Indian monsoon under future warming scenarios.\u00a0 To do so it examines the 32 global climate models within the Coupled Model Intercomparison Project Phase 5 (CMIP5) under a range of emission scenarios.<\/p>\n The results are really interesting.\u00a0 As the authors put it:<\/p>\n All of these models show a substantial increase in June-to-September\u00a0(JJAS) mean rainfall under unabated climate change\u00a0(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\u00a0century; the multi-model mean for JJAS projects an increase of 0.33\u2009mm\u2009d\u22121<\/sup><\/span>\u00a0and 5.3\u2009% per kelvin of global warming.\u00a0<\/em><\/p>\n These are fascinating results.\u00a0 Under most likely scenarios for future warming the monsoon will strength, with more rainfall on average.\u00a0 In graphical form the figure below displays the outcomes:<\/p>\n Multi-model mean of Indian summer monsoon rainfall (mm\u2009d\u22121) for the Indian summer monsoon for 1860\u20132090 relative to the mean (horizontal black line) in 1985\u20132015 (grey background) for the four scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5). The 20-year smoothed time series of one ensemble member per model was used to calculate the multi-model mean. Shading in the time series represents the range of mean plus\/minus 1 standard deviation marked with circles on the right side of the figure. Image and caption (lightly edited) from Katzenberger et al.<\/em> (2021)<\/a>.<\/p><\/div>\n .<\/p>\n Interestingly, the models project that both the west coast of India and the Himalaya region will show substantial increases in monsoon precipitation.\u00a0 These are the areas most affected by landslides.\u00a0 The models also suggest greater interannual variability, indicating that some years will be exceptionally wet.<\/p>\n Studies like this provide a general expectation for future behaviour.\u00a0 There will be nuances of course that require further investigation, such as the impacts on cloudburst rainfall and the interaction between the atmosphere and the topography.\u00a0 But in general terms, the models suggest that we might expect to see increased landslide activity driven by the summer monsoon with time.\u00a0 Coupled with the ongoing environmental degradation in the Himalayas, especially through haphazard road construction<\/a>, the picture for future landslide impacts is poor.\u00a0 Strategies to adapt to future warming are urgently required.<\/p>\n .<\/p>\n![\"Multi-model](\"https:\/\/blogs.agu.org\/landslideblog\/files\/2021\/04\/21_04-MONSOON.png\")
Reference<\/h4>\n