Hydroclimate Risk Assessment and Management: Data, Models and Remote Sensing Approaches
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".
Deadline for manuscript submissions: 30 July 2026 | Viewed by 878
Special Issue Editors
Interests: statistical and stochastic hydro-climatology; compound extreme event modelling; probabilistic deep learning in hydro-climatology frequency analysis; hydrology and water resources; teleconnection and climate variability; nonstationary frequency analysis; application of copula-based methodology in hydro-climatological studies; risk and uncertainty analysis; extreme value analysis; climate change; statistical linking between meteorological extremes with community wellness and public health; time-series forecasting and modelling
Special Issues, Collections and Topics in MDPI journals
Interests: hydrologic impacts of climate change; statistical downscaling; regional hydrologic modeling; river water quality management; reservoir operation; irrigation planning and management; drought assessment; climate extremes analysis; hydroinformatics; machine learning applications in water resources engineering
Interests: hydrology; flood and drought hydrology; statistical hydrology; water resources; non-stationary frequency analysis; trend assessment; application of multivariate models in hydrology and water resources; climate projections
Special Issue Information
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
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- hydroclimate risk and extremes
- climate change
- CMIP5/CMIP6 and regional projections
- remote sensing
- reanalysis and in situ observations
- hydrological
- hydraulic
- groundwater and socio-hydrological modelling
- floods
- droughts
- heatwaves
- wildfires and compound events
- downscaling
- bias adjustment and data assimilation
- machine learning
- deep learning and hybrid modelling
- multi-hazard impact modelling and climate services
- water–energy–food–ecosystem nexus
- adaptation
- resilience and decision-support systems
- AI applications in improving hydroclimato-logical forecasting
- flood
- drought
- water quality assessment
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