Hydroclimate Risk Assessment and Management: Data, Models and Remote Sensing Approaches

Dear Colleagues,

Hydroclimate risks are intensifying and diversifying under climate change, land-use change, urbanization and growing water demands. Extremes such as floods, droughts, heatwaves, wildfires, storm surges, snow and ice loss, and water-quality crises now interact with long-term shifts in water availability, groundwater storage, ecosystems, and the water–energy–food nexus. This Special Issue invites broad, interdisciplinary contributions that use data, models and remote sensing to monitor, attribute, project and manage hydroclimate risks from local to global scales. We welcome studies that draw on in situ observations; satellite, airborne and ground-based remote sensing; reanalysis products; and climate projections (e.g., CMIP5/CMIP6, CORDEX, convection-permitting and impact-oriented regional simulations). Submissions may employ process-based hydrological, hydraulic, land-surface, groundwater, cryospheric, coastal and socio-hydrological models; statistical and extreme-value methods; multivariate and copula frameworks; and system-dynamics and agent-based approaches; as well as machine learning, deep learning, hybrid physics–ML and data-assimilation or ensemble techniques. Topics include (but are not limited to) hazard and impact mapping; early warning, improved forecasting of hydroclimatological extremes such as flood, droughts, water quality assessment, and climate services; compound and cascading events; downscaling and bias adjustment of climate projections; detection and attribution of trends; nature-based solutions; and decision-support tools for adaptation planning, design standards and risk governance. We particularly encourage work that links physical hazards with exposure, vulnerability, socio-economic pathways, and governance, spanning urban and rural systems, agricultural and ecological impacts, and data-scarce or rapidly changing regions. Original research articles, methodological and benchmark papers, operational and agency case studies, and critical reviews are all welcome. Contributions that provide open datasets, models, or tools, or that are co-developed with practitioners and stakeholders, are especially encouraged. Overall, this Special Issue seeks to turn hydroclimate information into actionable strategies for risk reduction and resilience.

Dr. Md Shahid Latif
Dr. Shaik Rehana
Dr. Fatih Tosunoğlu
Guest Editors

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