[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 …
Predictability of extreme sea level variations along the US coastline
Extreme sea level variability (excluding the effects of mean sea level (MSL) and long‐period
tidal cycles) at decadal to multidecadal time scales is significant along the US coastlines and …
tidal cycles) at decadal to multidecadal time scales is significant along the US coastlines and …
On the decadal predictability of the frequency of flood events across the US Midwest
Skilful predictions of the frequency of flood events over long lead times (eg, from 1 to 10
years ahead) are essential for governments and institutions making near‐term flood risk …
years ahead) are essential for governments and institutions making near‐term flood risk …
Toward usable predictive climate information at decadal timescales
Decadal climate predictions provide information out to the 10-year timescale, bridging the
gap between seasonal and climate projections. This paper presents an interdisciplinary …
gap between seasonal and climate projections. This paper presents an interdisciplinary …
High resolution decadal precipitation predictions over the continental United States for impacts assessment
Unprecedented alterations in precipitation characteristics over the last century and
especially in the last two decades have posed serious socio-economic problems to society …
especially in the last two decades have posed serious socio-economic problems to society …
A quantile mapping approach‐based bias correction in Coupled Model Intercomparison Project Phase 5 models for decadal temperature predictions over India
Decadal climate prediction has been recognized as the important information for policy
makers for agriculture, health and energy sectors and the general public for any near‐term …
makers for agriculture, health and energy sectors and the general public for any near‐term …
Intraseasonal predictability of the duration of flooding above National Weather Service flood warning levels across the US Midwest
A Neri, G Villarini, F Napolitano - Hydrological Processes, 2020 - Wiley Online Library
Unpreparedness is often the main cause of the economic and social damages caused by
floods. To mitigate these impacts, short‐term forecasting has been the focus of several …
floods. To mitigate these impacts, short‐term forecasting has been the focus of several …
Hydrologic Modeling with Transfer Function Based Approach: A Comparative Study over Godavari River Basin
C Lakeshri, K Salvi - International Conference on Emerging Trends in …, 2020 - Springer
Hydrologic modeling (HM), which involves forming a nexus between two important
components of hydrologic cycle viz. rainfall and runoff, is one of the most important steps …
components of hydrologic cycle viz. rainfall and runoff, is one of the most important steps …