A Fourier approach to address low-frequency variability bias in hydrology. This project aims to develop a mathematical framework to better simulate the occurrence of sustained anomalies, such as droughts and long periods of flooding, into the future. These events increase water insecurity and result in loss of revenue, livelihoods and lives. Hydrological planning requires knowledge of how such sustained extremes will change in the future. Current alternatives for simulating such changes for futu ....A Fourier approach to address low-frequency variability bias in hydrology. This project aims to develop a mathematical framework to better simulate the occurrence of sustained anomalies, such as droughts and long periods of flooding, into the future. These events increase water insecurity and result in loss of revenue, livelihoods and lives. Hydrological planning requires knowledge of how such sustained extremes will change in the future. Current alternatives for simulating such changes for future climates are inadequate for catchment-scale planning to proceed. The project proposes a strategy for post-processing hydrological simulations of the future using an elegant frequency-domain approach. It expects to provide the tools needed to develop hydrologic infrastructure, such as water supply reservoirs, that secure our water resources for the generations to come.Read moreRead less
Representing low-frequency variability in hydro-climatic simulations for water resources planning and management in a changing climate. Simulating local hydro-climatology under likely climate change allows risk assessment of existing and future water infrastructure, along with the planning protocols needed to adapt to the changes ahead. This study aims to develop the tools needed to simulate local hydro-climatology, providing a basis for securing water for the generations to come.