Future Seasonal Changes in Extreme Precipitation Scale With Changes in the Mean. Issue 12 (20th December 2022)
- Record Type:
- Journal Article
- Title:
- Future Seasonal Changes in Extreme Precipitation Scale With Changes in the Mean. Issue 12 (20th December 2022)
- Main Title:
- Future Seasonal Changes in Extreme Precipitation Scale With Changes in the Mean
- Authors:
- Bador, Margot
Alexander, Lisa V. - Abstract:
- Abstract: Atmospheric warming results in an intensification of annual precipitation over the globe but large uncertainties remain regionally and at seasonal scales, especially for extremes. Using 29 models from the Sixth Phase of the Coupled Model Intercomparison Project (CMIP6), we investigate future seasonal changes in extreme precipitation (under the scenario SSP5‐8.5) and how it compares to changes in mean precipitation. Over land, we find a strong intensification of the wettest day in all seasons over the mid and high latitudes of the Northern Hemisphere and over India during the monsoon. Extreme intensity decreases in the subtropics for some seasons, including over large regions around the Mediterranean basin and Southern Africa, and these drying patterns are not apparent in annual results. The key finding is that the CMIP6 multi‐model mean always shows that seasonal changes in mean and extreme precipitation align where there is high model agreement. That is, in all seasons by the end of the 21st century, extremes intensify in regions where mean precipitation increases and decline where mean precipitation decreases. This should not hide inherent uncertainties associated, namely the large range of changes intensity that can be found across the models, and an important modulation of the changes by internal variability. Yet, this study shows that the multi‐model mean shows broad consistency such that future seasonal changes in mean precipitation could be used to inferAbstract: Atmospheric warming results in an intensification of annual precipitation over the globe but large uncertainties remain regionally and at seasonal scales, especially for extremes. Using 29 models from the Sixth Phase of the Coupled Model Intercomparison Project (CMIP6), we investigate future seasonal changes in extreme precipitation (under the scenario SSP5‐8.5) and how it compares to changes in mean precipitation. Over land, we find a strong intensification of the wettest day in all seasons over the mid and high latitudes of the Northern Hemisphere and over India during the monsoon. Extreme intensity decreases in the subtropics for some seasons, including over large regions around the Mediterranean basin and Southern Africa, and these drying patterns are not apparent in annual results. The key finding is that the CMIP6 multi‐model mean always shows that seasonal changes in mean and extreme precipitation align where there is high model agreement. That is, in all seasons by the end of the 21st century, extremes intensify in regions where mean precipitation increases and decline where mean precipitation decreases. This should not hide inherent uncertainties associated, namely the large range of changes intensity that can be found across the models, and an important modulation of the changes by internal variability. Yet, this study shows that the multi‐model mean shows broad consistency such that future seasonal changes in mean precipitation could be used to infer future changes in extremes (and vice versa), thus providing valuable information for risk planning and mitigation strategies. Plain Language Summary: The rise in surface air temperature due to human influence results in an intensification of the most extreme events of precipitation over the globe. Although this is shown by both observations and Earth System Models at the global scale, more uncertainties remain regionally and at the seasonal scales. In this study, we use a large ensemble of state‐of‐the‐art Earth System Models and investigate future seasonal changes in extreme precipitation and how it compares to changes in total precipitation. Our key finding is that, in all seasons by the end of the 21st century, extremes intensify in regions where mean precipitation increases and decline where mean precipitation decreases. This is found locally and in regions where there is high agreement between the models with projected changes of a same sign. Hence, when future seasonal changes in precipitation can be assessed with high confidence, we find that changes in totals and extremes align in the future. Our results demonstrate that there is potential added value from examining concomitant projected changes in totals and extremes of precipitation on seasonal and regional scales which could help better inform decision‐making in relevant climate‐sensitive sectors. Key Points: We present projected seasonal changes in Coupled Model Intercomparison Project (CMIP6) total and extreme precipitation and show that they scale into the future CMIP6 multi‐model mean seasonal change is of same sign for total and extreme precipitation when there is high agreement between models This is found locally (at the grid cell scale) and regionally and is generally supported by the 29 individual models … (more)
- Is Part Of:
- Earth's future. Volume 10:Issue 12(2022)
- Journal:
- Earth's future
- Issue:
- Volume 10:Issue 12(2022)
- Issue Display:
- Volume 10, Issue 12 (2022)
- Year:
- 2022
- Volume:
- 10
- Issue:
- 12
- Issue Sort Value:
- 2022-0010-0012-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-12-20
- Subjects:
- future changes in precipitation extremes -- CMIP6 models -- regional changes in precipitation -- relevant projections for impact
Environmental sciences -- Periodicals
Environmental sciences
Periodicals
550 - Journal URLs:
- http://agupubs.onlinelibrary.wiley.com/agu/journal/10.1002/%28ISSN%292328-4277/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1029/2022EF002979 ↗
- Languages:
- English
- ISSNs:
- 2328-4277
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24825.xml