Extreme Weather Detection, Attribution and Adaptation Design

Dear Colleagues,

Extreme precipitation events can lead to substantial loss of property and life. The timely and accurate predictions of these events can potentially mitigate some of these losses by providing decision support to stakeholders and communities. The skillful prediction of such extreme events through numerical weather prediction (NWP), statistical techniques, or their combination in hybrid dynamical-statistical methods is crucial for managing preparedness, emergency response, and mitigation of impacts. However, the prediction of rainfall extremes remains challenging in NWP due to various causes, including model deficiencies and initial-value problems. Several approaches for assimilating precipitation observations in NWP models have been developed in the last few years to improve the model’s initial states and subsequent short-range forecasts. This Special Issue invites papers on observational and numerical modeling studies of extreme events such as flash floods and cloud bursts to understand their spatiotemporal characteristics. In particular, we also encourage authors to explore extreme events related to past and near-future hazards, which would assist policymakers in building societies which are potentially more resilient. Additionally, this Special Issue is expected to include articles that use observations and modeling techniques to understand the physics of rainfall extremes and further enhance overall model forecast skills.

Dr. Chandrasekar Radhakrishnan
Dr. Attada Raju
Dr. Biswas Sounak
Dr. Kannan Srinivasa Ramanujam
Guest Editors

Manuscript Submission Information

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