This study focuses on assessing different quantile map** (QM) bias correction
approaches based on empirical and parametric methods to bias-correct the Indian Monsoon …

The representation of land–atmosphere coupling in forecast models can significantly impact
weather prediction. A previous case study in Northern India incorporating both model and …

Characteristics of the atmospheric kinetic energy (KE) spectrum follow a distinct power‐law
dependence in the synoptic (k− 3) and mesoscales (k− 5/3), where k is the horizontal wave …

Abstract Increased resolution of Numerical Weather Prediction (NWP) models can lead to
improved prediction of heavy rains; however, the forecasts often suffer from location …

In response to the growing emphasis on transitioning to clean, sustainable energy and the
increasing global energy demand, the utilization of renewable resources has notably …

The purpose of a Decision Support System (DSS) for nuclear emergencies is to furnish
emergency managers with thorough and timely information regarding situations arising from …

Abstract SAtellite-based Marine Process Understanding, Development, Research and
Applications (SAMUDRA) for blue economy, a technology development program of the …

Heatwaves are one of the most dangerous natural hazards in the world. Higher daily peak
temperatures, duration, intensity and frequency of heatwaves are increasing globally due to …

Abstract Since March 2020, the COVID‐19 pandemic has significantly reduced the
availability of global aircraft‐based observations (ABOs), which has been restored later in …

The ocean analysis is crucial for monitoring and predicting the ocean and also provides an
initial condition to coupled atmosphere–ocean model. Due to the lack of in-situ observations …