Asset Details
Do you wish to reserve the book?
Constraining the projections of tropical extreme precipitation with radiation–precipitation relationship
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Constraining the projections of tropical extreme precipitation with radiation–precipitation relationship
Do you wish to request the book?
Constraining the projections of tropical extreme precipitation with radiation–precipitation relationship
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Constraining the projections of tropical extreme precipitation with radiation–precipitation relationship
2026
Overview
Over the tropics, a robust statistical relationship between outgoing longwave radiation ( R ) and precipitation ( P ) is observed, linked to the cloud-radiative effect (CRE). To quantify this R – P relation, we define the CRE parameter, which exhibits significant disparities across global climate models (GCMs), with most overestimating it relative to the observation. Given the strong correlation between the CRE parameter and both historical and future extreme precipitation, an emergent constraint on the hydrological cycle projection is constructed. It lowers the fractional increase in the 99.9th percentile of tropical precipitation by the end of the 21st century from 29% to 24% under the high-emission warming scenario, with a 58% reduction in uncertainty. Overall, GCMs tend to underestimate the intensity of tropical extreme precipitation while overestimating its fractional increase. These findings provide valuable insights for model evaluation, improvement, and climate adaptation strategies.
Publisher
IOP Publishing
