IMDAA: High-resolution satellite-era reanalysis for the Indian monsoon region
A high-resolution regional reanalysis of the Indian Monsoon Data Assimilation and Analysis
(IMDAA) project is made available to researchers for deeper understanding of the Indian …
(IMDAA) project is made available to researchers for deeper understanding of the Indian …
Unraveling the drivers of intensified landslide regimes in Western Ghats, India
Abstract The Western Ghats (WG) mountain range in the Indian sub-continent is a
biodiversity hotspot, now faces a severe threat to the valley population and ecosystem …
biodiversity hotspot, now faces a severe threat to the valley population and ecosystem …
Sensitivity of cloud microphysics on the simulation of heavy rainfall in WRF-a case study for the 7–10 August 2019 event over Kerala, India
MMK Gorja, VS Challa, Y Viswanadhapalli… - Atmospheric …, 2023 - Elsevier
This work investigates the mechanism of the extremely heavy rainfall event during 7–10
August 2019 in Kerala. As the skill of WRF model for simulating the heavy rainfall strongly …
August 2019 in Kerala. As the skill of WRF model for simulating the heavy rainfall strongly …
Deep learning improves GFS wintertime precipitation forecast over southeastern China
Wintertime precipitation, especially snowstorms, significantly impacts people's lives.
However, the current forecast skill of wintertime precipitation is still low. Based on data …
However, the current forecast skill of wintertime precipitation is still low. Based on data …
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 …
Evaluation of precipitation forecasts for five-day streamflow forecasting in Narmada River basin
The accuracy of quantitative rainfall forecasts (QPFs) obtained from numerical weather
prediction (NWP) models plays a crucial role in setting up a catchment streamflow …
prediction (NWP) models plays a crucial role in setting up a catchment streamflow …
Evaluation of a novel hybrid lion swarm optimization–AdaBoostRegressor model for forecasting monthly precipitation
Precipitation is essential for crop production, water resource management, and other
activities. Since precipitation has unpredictable sequential and seasonal characteristics, it is …
activities. Since precipitation has unpredictable sequential and seasonal characteristics, it is …
Early detection of heavy rainfall events associated with the monsoon in Kerala, India using GPS derived ZTD and PWV estimates: A case study
Abstract The Precipitable Water Vapour (PWV) content associated with heavy precipitations
can be estimated using the temporal variation of the Global Positioning System (GPS) …
can be estimated using the temporal variation of the Global Positioning System (GPS) …
Evaluation of NCEP-GFS-based Rainfall forecasts over the Nagavali and Vamsadhara basins in India
Rainfall forecasting and its spatio-temporal variability is important for many hydrological
applications. It is critical to understand the uncertainty and verify the quality of rainfall …
applications. It is critical to understand the uncertainty and verify the quality of rainfall …
Improving the skill of medium range ensemble rainfall forecasts over India using MoES grand ensemble (MGE)-part-I
One of the key attributes of an ensemble prediction system (EPS) is the spread among the
members. It plays a crucial role in conveying the uncertainty associated with the forecasted …
members. It plays a crucial role in conveying the uncertainty associated with the forecasted …