[HTML][HTML] Hybrid forecasting: blending climate predictions with AI models
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine
learning) methods to harness and integrate a broad variety of predictions from dynamical …
learning) methods to harness and integrate a broad variety of predictions from dynamical …
Hybrid forecasting: using statistics and machine learning to integrate predictions from dynamical models
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine
learning) methods to harness and integrate a broad variety of predictions from dynamical …
learning) methods to harness and integrate a broad variety of predictions from dynamical …
Leveraging machine learning for predicting flash flood damage in the Southeast US
A Alipour, A Ahmadalipour… - Environmental …, 2020 - iopscience.iop.org
Flash flood is a recurrent natural hazard with substantial impacts in the Southeast US
(SEUS) due to the frequent torrential rainfalls that occur in the region, which are triggered by …
(SEUS) due to the frequent torrential rainfalls that occur in the region, which are triggered by …
Nonstationary flood and low flow frequency analysis in the upper reaches of Huaihe River Basin, China, using climatic variables and reservoir index as covariates
Conventional water infrastructure designs for flood and low flows are usually based on the
assumption of stationarity of extreme events. However, recent evidence suggests that the …
assumption of stationarity of extreme events. However, recent evidence suggests that the …
Persistent impact of spring floods on crop loss in US Midwest
Climate extremes threaten global food security, and compound events, such as late spring
heavy and warmer rainfall over snow and subsequent flooding, exacerbate this vulnerability …
heavy and warmer rainfall over snow and subsequent flooding, exacerbate this vulnerability …
Statistically-based projected changes in the frequency of flood events across the US Midwest
There is growing empirical evidence that many river basins across the US Midwest have
been experiencing an increase in the frequency of flood events over the most recent …
been experiencing an increase in the frequency of flood events over the most recent …
Skillful decadal flood prediction
Accurate long‐term flood predictions are increasingly needed for flood risk management in a
changing climate, but are hindered by the underestimation of climate variability by climate …
changing climate, but are hindered by the underestimation of climate variability by climate …
Projected changes in annual maximum discharge for Iowa communities
Understanding the projected changes in annual maximum peak discharge is important to
improve resiliency in water resource planning and design at the community level. Currently …
improve resiliency in water resource planning and design at the community level. Currently …
Evaluation of flood metrics across the Mississippi-Atchafalaya River Basin and their relation to flood damages
Societal risks from flooding are evident at a range of spatial scales and climate change will
exacerbate these risks in the future. Assessing flood risks across broad geographical …
exacerbate these risks in the future. Assessing flood risks across broad geographical …
[HTML][HTML] Variability in flood frequency in sub-Saharan Africa: The role of large-scale climate modes of variability and their future impacts
Abstract Sub-Saharan Africa (SSA) is strongly affected by flood hazards, endangering
human lives and economic stability. However, the role of internal climate modes of variability …
human lives and economic stability. However, the role of internal climate modes of variability …