ERE
Energy, Resources and the Environment

Can climate data help to better predict floods?

Can climate data help to better predict floods?

Many studies report that hydrologic regimes are modulated by large-scale modes of climate variability such as the El Niño Southern Oscillation (ENSO) or the North Atlantic Oscillation (NAO). Climate-informed frequency analysis models have therefore been proposed to condition the distribution of hydrologic variables on climate indices. However, standard climate indices may be poor predictors in some regions. Instead of trying to describe climatic cycles using a single parameter, Renard and Lall developed a model using a range of parameters.

You can read the whole paper here: Renard, B., and U. Lall (2014), Regional frequency analysis conditioned on large-scale atmospheric or oceanic fields, Water Resour. Res., 50, 95369554, doi:10.1002/2014WR016277.

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Suzanne Hangx is a post-doctoral researcher at the High Pressure and Temperature Laboratory of Utrecht University, the Netherlands. Her research focusses on fluid-rock interactions and how they affect the mechanical properties of rocks. By breaking rocks on a (more or less) day-to-day basis, she aims to make a contribution to potential solutions of societally relevant earth scientific issues, such as subsurface CO2 storage or surface subsidence induced by hydrocarbon or groundwater pumping. Suzanne is currently the Subsurface Officer of the Energy, Resources and Environment (ERE) Division of the European Geosciences Union (EGU).

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