IAHS2022-9, updated on 22 Sep 2022
IAHS-AISH Scientific Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Multi-scale approaches in forecasting extreme floods and their global connections

Ankit Agarwal1, Bruno Merz2, and Jürgen Kurths
Ankit Agarwal et al.
  • 1Department of Hydrology, Indian Institute of Technology Roorkee, 247667 India (ankit.agarwal@hy.iitr.ac.in)
  • 2GFZ German Research Centre for Geosciences, Section 4.4: Hydrology, Telegrafenberg, Potsdam, 14473 Germany (bmerz@gfz-potsdam.de)

The climate is a complex dynamical system involving interactions and feedbacks among different processes at multiple temporal and spatial scales. Although numerous studies have attempted to understand the climate system, nonetheless, the studies investigating the multiscale characteristics of the climate are scarce. Further, the present set of techniques are limited in their ability to unravel the multi-scale variability of the climate system. It is completely plausible that extreme events and abrupt transitions, which are of great interest to the climate community, are the result of interactions among processes operating at a multi-scale. For instance, storms, weather patterns, seasonal irregularities such as El Niño, floods and droughts, and decades-long climate variations can be better understood and even predicted by quantifying their multi-scale dynamics. This makes a strong argument to unravel the interaction and patterns of climatic processes at different scales. Our work will discuss the potential of multi-scale approaches, new methods developed using wavelet and complex network techniques and their applications in hydro climatology to better forecast extreme floods.

How to cite: Agarwal, A., Merz, B., and Kurths, J.: Multi-scale approaches in forecasting extreme floods and their global connections, IAHS-AISH Scientific Assembly 2022, Montpellier, France, 29 May–3 Jun 2022, IAHS2022-9, https://doi.org/10.5194/iahs2022-9, 2022.