Adaptive precipitation nowcasting using deep learning and ensemble modeling
Accurate rainfall nowcasting is necessary for real-time flood management in urban areas. In
this paper, some deep neural networks (DNNs) are developed for rainfall nowcasting with …
this paper, some deep neural networks (DNNs) are developed for rainfall nowcasting with …
Effects of Automatic Hyperparameter Tuning on the Performance of Multi‐variate Deep Learning‐based Rainfall Nowcasting
Rainfall nowcasting has become increasingly important as we move into an era where more
and more storms are occurring in many countries as a result of climate change. Develo** …
and more storms are occurring in many countries as a result of climate change. Develo** …
Spatial connections in extreme precipitation events obtained from NWP forecasts: A complex network approach
Understanding the spatial variability of extreme precipitation events (EPEs) has always been
a challenging task, with climate change further complicating the issue. Many studies have …
a challenging task, with climate change further complicating the issue. Many studies have …
Stream flow prediction using TIGGE ensemble precipitation forecast data for Sabarmati river basin
Flooding is the most prevalent natural disaster globally. Increasing flood frequency affects
develo** nations as these countries lack strong forecasting systems. The most flood-prone …
develo** nations as these countries lack strong forecasting systems. The most flood-prone …
Bias correction of global ensemble precipitation forecasts by Random Forest method
One of the most important topics in operational applications of precipitation forecasts is their
improvement by bias correction methods. In this study, the ensemble precipitation forecasts …
improvement by bias correction methods. In this study, the ensemble precipitation forecasts …
Improving the reservoir inflow prediction using TIGGE ensemble data and hydrological model for Dharoi Dam, India
Flooding occurs frequently compared to other natural disasters. Less developed countries
are severely affected by floods. This research provides an integrated hydrometeorological …
are severely affected by floods. This research provides an integrated hydrometeorological …
Post-processing of the UKMO ensemble precipitation product over various regions of Iran: integration of long short-term memory model with principal component …
An accurate forecast of precipitation can significantly enhance the management of water
resources. While the data originated from ground-based synoptic stations are known to be …
resources. While the data originated from ground-based synoptic stations are known to be …
Was the extreme rainfall that caused the August 2022 flood in Pakistan predictable?
Pakistan suffered from severe floods in the past, but in August 2022, the country
experienced exceptional extreme rainfall events that caused widespread and catastrophic …
experienced exceptional extreme rainfall events that caused widespread and catastrophic …
How reliable are TIGGE daily deterministic precipitation forecasts over different climate and topographic conditions of Iran?
Accurate forecasting of precipitation has been a very crucial issue for develo**
meteorological and hydrological early warning systems. Ensemble forecasts using …
meteorological and hydrological early warning systems. Ensemble forecasts using …
Evaluation of quantitative precipitation forecast in five Indian river basins
Quantitative precipitation forecast (QPF) obtained from a numerical weather prediction
model is used for streamflow forecasting. This study systematically evaluates the …
model is used for streamflow forecasting. This study systematically evaluates the …