Evidence map›Paper›PMID 42009781›Full record

ArticleScientific reports2026

Widespread shift toward extreme dominated precipitation with pronounced trends in arid and mediterranean regions.

Masoud Zaerpour, Simon Michael Papalexiou, Guoqiang Tang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Masoud ZaerpourDepartment of Civil Engineering, Schulich School of Engineering, University of Calgary, Calgary, Canada. masoud.zaerpour@ucalgary.ca.
Simon Michael PapalexiouDepartment of Civil Engineering, Schulich School of Engineering, University of Calgary, Calgary, Canada.
Guoqiang TangState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, China. guoqiang.tang@whu.edu.cn.

Funding

Natural Sciences and Engineering Research Council of Canada RGPIN-2019-06894
6 · The paper itself

Abstract

Understanding how precipitation extremes evolve relative to total precipitation has important implications for hydrology, water resources, and climate risk management. While previous studies have assessed trends in total precipitation and extremes separately, the changing balance between them remains underexplored globally. Here, we use the Extreme Precipitation Fraction (EPF)—the ratio of a year’s wettest daily precipitation event to its total annual precipitation—as a physically meaningful metric to quantify the dominance of extremes within annual rainfall totals. Using an ensemble of 25 CMIP6 global climate model simulations from the NASA NEX-GDDP dataset, we examine historical EPF patterns, projected trends under the high-emissions scenario. A first-order relative-change decomposition is then used to quantify the separate contributions of annual maximum daily precipitation and total annual precipitation to EPF trends. Results show that, historically, EPF values are highest in hot and cold deserts, where a single event contributes over 13–15% of annual rainfall, and lowest in tropical rainforest and monsoon zones (< 4%). Projected trends show a global shift toward more extreme-dominated regimes, particularly in dryland and Mediterranean climates. EPF increases exceed + 0.2 per decade in Mediterranean zones, where over 70% of grids show positive trends above + 0.1. In contrast, polar and high-latitude snow-dominated climates exhibit declining EPF values. Attribution of EPF trends to its individual contributions shows that changes in total annual precipitation dominate EPF trends in arid and Mediterranean regions (annual-maximum contribution < 45%), whereas changes in extreme precipitation contribute more strongly in humid temperate and monsoonal regions (> 54%). At high latitudes (> 67.5°N), changes in total precipitation account for more than 70% of EPF trends. These findings reveal that precipitation is increasingly delivered through fewer, more intense events in vulnerable regions, with implications for climate-risk assessment and adaptation planning.

Identifiers

PMID42009781
PMCPMC13265802

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.