Special Issues

Climate publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions. Special Issues are led by Guest Editors, who are experts on the topic and all Special Issue submissions follow MDPI's standard editorial process. The journal’s Editor-in-Chief and/or designated Editorial Board Member will oversee Guest Editor appointments and Special Issue proposals, checking their content for relevance and ensuring the suitability of the material for the journal. The papers published in a Special Issue will be collected and displayed on a dedicated page of the journal’s website. Further information on MDPI's Special Issue policies and Guest Editor responsibilities can be found here. For any inquiries related to a Special Issue, please contact the Editorial Office.

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Advances in Climate and Water Resources Management and Drought Assessment
edited by and Hany F. Abd-Elhamid
submission deadline 30 May 2026 | Viewed by 113 | Submission Open
Keywords: meteorologicl drought; hydrological drought; climate change adaptation; water resources; risk assassment; water management
Climate Change and Cooperative Management of National and Transboundary River Basins submission deadline 31 May 2026 | Viewed by 547 | Submission Open
Keywords: climate change impacts; transboundary waters; climate– hydrology coupling; international rivers; lakes; and aquifers; transboundary cooperation; adaptation to climate change; hydrodiplomacy; integrated water resources management
(This special issue belongs to the Section Climate and Environment)
Coastal Climate Variability and Predictability: Challenges and Emerging Solutions
edited by Xiaoyu Long, Tongtong Xu and
submission deadline 30 Jun 2026 | Viewed by 76 | Submission Open
Keywords: coastal climate variability; coastal compound flooding; coastal marine heatwaves; coupled ocean-atmosphere dynamics; climate extremes; regional climate modelling; machine learning in climate science; climate risk and resilience; forecast evaluation; anthropogenic impacts on coasts
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