[HTML][HTML] Bias-corrected and spatially disaggregated seasonal forecasts: a long-term reference forecast product for the water sector in semi-arid regions

C Lorenz, TC Portele, P Laux… - Earth System Science …, 2021 - essd.copernicus.org
Seasonal forecasts have the potential to substantially improve water management
particularly in water-scarce regions. However, global seasonal forecasts are usually not …

[HTML][HTML] Assessment of socio-economic impacts of the December 2011 flood event in Dar es Salaam, Tanzania

DM Anande, PM Luhunga - Atmospheric and Climate Sciences, 2019 - scirp.org
Floods are the most devastating hazards that have significant adverse impacts on people
and their livelihoods. Their impacts can be reduced by investing on: 1) improving the …

Assessing climate change-induced flood risk in the conasauga river watershed: An application of ensemble hydrodynamic inundation modeling

TT Dullo, S Gangrade… - … Hazards and Earth …, 2020 - nhess.copernicus.org
This study evaluates the impact of potential future climate change on flood regimes,
floodplain protection, and electricity infrastructures across the Conasauga River Watershed …

Comparative analysis of bias correction techniques for future climate assessment using CMIP6 hydrological variables for the Indian subcontinent

M Shah, A Thakkar, H Shastri - Acta Geophysica, 2024 - Springer
The study focuses on the bias correction of Coupled Model Intercomparison Project Phase 6
(CMIP6) hydrologic variables for the Indian region. The performance of two widely accepted …