Huvudinnehåll

Wei Yang

Updated

Published

Ph.D.

Porträtt Wei Yang.

Wei Yang

Role in team

  • Senior researcher
  • Expert in and code developer of bias-correction methods with MIDAS. Knowledge on other methods
  • Expert in statistical methods, multiple extremes and climate change
  • Expert in fire risk modelling

Expertise

  • Bias-correction of climate model projection and seasonal forecasts
  • Climate impacts
  • Extreme value analysis of intensive rainfall
  • Weather pattern classification for spring flood forecasting

Professional records

NHF's (Nordic Association for Hydrology) large prize, 2012

Latest publications

Weather warning archives reveal spatio-temporal hot spots of compound natural hazards

Wei Yang, Jonas Olsson, Peter Berg, Lennart Simonsson

In: Scientific Reports, Vol. 15, No. 1

2025

DOI: 10.1038/s41598-025-96842-6

Individual natural hazards may be combined in different ways, leading to cascading or co-occurring effects, turning them into compound hazards. However, assessment of individual as well as compound hazards is often hampered by short or incomplete observational records of actual hazards, and records of various hazards that do not easily combine. In this study we propose an alternative way to detect potential risk of compound natural hazards via archived severe weather warnings. We investigate weather warnings in Sweden from 2011 to 2020 regarding their distributions and frequencies in time (at daily level) and space (at warning district level) from both an individual and compound perspective. We illustrate the methodology and results by focusing on compound flood-related risk, generated by combinations of heavy rainfall, high streamflow and high sea level, and contextualize with two actual compound flood events in Sweden. We find compound fluvial and coastal flood risk primarily along the southwest coast during the winter half year as well as compound fluvio-pluvial flood risk during the summer half year. The results show that severe weather warnings can be used to assess the frequency and compounding nature of natural hazards, as well as to identify actual cases for further investigation, and we encourage similar investigations elsewhere.