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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

H. Dasari

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Open access Oct 2026

Impact of direct and indirect assimilation of DWR reflectivity on the simulation of heavy rainfall events over Jeddah, Saudi Arabia

To improve the understanding and prediction of convective storms over the Kingdom of Saudi Arabia (KSA), the National Center for Meteorology (NCM) established a network of Doppler weather radars (DWRs) across the country in 2009. Despite this advancement, assimilation of DWR observations into numerical weather predicti...

H. Dasari, Y. Viswanadhapalli, C. V. Srinivas et al. · 0 citations
Oct 2026

Evaluations of Precipitation, Temperature, and Circulation Characteristics in Simulations of CMIP6 Models over the Arabian Peninsula

This study evaluates the performance of 74 CMIP6 (including HighResMIP) models for the historical climate of the Arabian Peninsula (AP). The analysis examines whether models reproduce the mean climate, trends (accounting internal-variability), extremes, and key circulation/process diagnostics. Despite strengths, seve...

Raju Pathak, H. Dasari, C. Ammann et al. · 0 citations
Open access Aug 2026

Intensifying concurrent marine–atmospheric heatwaves in the marginal seas of the Arabian Peninsula: implications for coral bleaching and ocean productivity

Marine heatwaves (MHWs) and atmospheric heatwaves (AHWs) are intensifying under climate change, yet their concurrent occurrence can amplify thermal stress and pose greater risks to marine ecosystems than either event alone. This study investigates the spatiotemporal variability, physical drivers, and ecological impacts...

Waqar Ul Hassan, Md. Saquib Saharwardi, Harikishan Gandham et al. · 0 citations
Open access Sep 2026

Rapid Joint Downscaling of Multiple Atmospheric Fields to Kilometer Scale With Deep Learning

A U‐Net‐based deep learning framework, the Joint Atmospheric fields Downscaling Network (JADNet), for rapid, joint downscaling of multiple atmospheric variables to kilometer resolution is introduced, offering a powerful tool for scalable high‐resolution weather and climate applications.

Hong-Xing Cui, H. Dasari, S. Sanikommu et al. · 0 citations

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