Real-time streamflow forecasting in a reservoir-regulated river basin using explainable machine learning and conceptual reservoir module
Real-time streamflow forecasting is essential to manage water resources effectively in a
reservoir-regulated basin. However, forecasting becomes challenging without weather and …
reservoir-regulated basin. However, forecasting becomes challenging without weather and …
[HTML][HTML] Influence of bias correction of meteorological and streamflow forecast on hydrological prediction in India
AD Tiwari, P Mukhopadhyay… - Journal of …, 2022 - journals.ametsoc.org
The efforts to develop a hydrologic model-based operational streamflow forecast in India are
limited. We evaluate the role of bias correction of meteorological forecasts and streamflow …
limited. We evaluate the role of bias correction of meteorological forecasts and streamflow …
Forecasting of an unusual dust event over western India by the Air Quality Early Warning System
This study presents the successful implementation of an operational Air Quality Early
Warning System (AQEWS) in forecasting an unprecedented dust storm event that occurred …
Warning System (AQEWS) in forecasting an unprecedented dust storm event that occurred …
Satellite flood inundation assessment and forecast using SMAP and landsat
The capability and synergistic use of multisource satellite observations for flood monitoring
and forecasts is crucial for improving disaster preparedness and mitigation. Here, surface …
and forecasts is crucial for improving disaster preparedness and mitigation. Here, surface …
Machine‐learning based multi‐layer soil moisture forecasts—An application case study of the Montana 2017 flash drought
Soil moisture (SM) is an essential climate variable, governing land‐atmosphere interactions,
runoff generation, and vegetation growth and productivity. Timely forecasts of SM spatial …
runoff generation, and vegetation growth and productivity. Timely forecasts of SM spatial …
Monsoon depression amplification by horizontal shear and humidity gradients: a shallow water perspective
Transient, synoptic-scale vortices produce a large fraction of total rainfall in most monsoon
regions and are often associated with extreme precipitation. However, the mechanism of …
regions and are often associated with extreme precipitation. However, the mechanism of …
A Bayesian Hierarchical Model Combination Framework for Real‐Time Daily Ensemble Streamflow Forecasting Across a Rainfed River Basin
The frequent occurrence of floods during the rainy season is one of the threats in rainfed
river basins, especially in river basins of India. This study implemented a Bayesian …
river basins, especially in river basins of India. This study implemented a Bayesian …
Deep learning based short-range forecasting of Indian summer monsoon rainfall using earth observation and ground station datasets
We develop a deep learning model (DL) for Indian Summer Monsoon (ISM) short-range
precipitation forecasting using a ConvLSTM network. The model is built using daily …
precipitation forecasting using a ConvLSTM network. The model is built using daily …
[HTML][HTML] Real-time forecast of dense fog events over Delhi: The performance of the wrf model during the wifex field campaign
Abstract A Winter Fog Experiment (WiFEX) was conducted to study the genesis of fog
formation between winters 2016–17 and 2017–18 at Indira Gandhi International Airport …
formation between winters 2016–17 and 2017–18 at Indira Gandhi International Airport …
Challenges in simulating prevailing fog types over urban region of Delhi
AN Parde, SD Ghude, NG Dhangar… - Journal of …, 2024 - Wiley Online Library
Accurately predicting fog is challenging due to interplay of myriad processes in its formation
and high spatiotemporal variability. This study compares the performance of the Weather …
and high spatiotemporal variability. This study compares the performance of the Weather …