Earth SciencesNature Communications
Windows of opportunity for predicting seasonal climate extremes highlighted by the Pakistan floods of 2022
N. Dunstone, D. M. Smith, et al.
This groundbreaking research conducted by Nick Dunstone, Doug M. Smith, Steven C. Hardiman, Paul Davies, Sarah Ineson, Shipra Jain, Chris Kent, Gill Martin, and Adam A. Scaife reveals how current forecasting methods fall short in predicting rare and impactful climate extremes. Learn how they propose enhancing forecast confidence for extreme rainfall events, such as the 2022 Pakistan floods, to better prepare society for future climate challenges.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Earth Sciences
Tropical intraseasonal oscillations as key driver and source of predictability for the 2022 Pakistan record-breaking rainfall event
J. Xie, P. Hsu, et al.
Earth Sciences
Seasonal predictability of the extreme Pakistani rainfall of 2022 possible contributions from the northern coastal Arabian Sea temperature
T. Doi, S. K. Behera, et al.
Sociology
Identifying the roots of inequality of opportunity in South Korea by application of algorithmic approaches
S. Han
Health and Fitness
Analysis of heavy metal concentrations in breast milk by neutrosophic method in the locate of Lahore, Pakistan
A. Fatima, U. Afzal, et al.
