Special Issue "Drought Monitoring, Prediction and Impacts"
Deadline for manuscript submissions: 15 February 2024 | Viewed by 184
2. National Water and Energy Center, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates
3. Department of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea
Interests: climatology; climate extremes; climate change; drought; hydrology; water resources
Nowadays, climate change is the most debated issue worldwide, not only affecting our lives but also posing a serious threat to future generations. Anthropogenic activities are consistently modifying the climate system, which has resulted in altered precipitation patterns, elevated atmospheric carbon dioxide, melting of snow covers, and most importantly an increase in global temperature. Recently, droughts in various regions of the world have highlighted the dangers of a lack of domestic animal feed, forcing farmers to import grain for their animals. This Special Issue aims to showcase the latest advancements in the monitoring and prediction of droughts to enhance our understanding of their complex dynamics and mitigate their adverse impacts.
The purpose of this Special Issue is to assemble cutting-edge research contributions from the global scientific community, fostering collaboration and knowledge exchange in the field of drought monitoring, simulation, and prediction. By disseminating innovative approaches and methodologies, this Special Issue aims to enhance the accuracy of drought prediction, support sustainable water resource management, and contribute to the development of effective strategies to mitigate the adverse impacts of droughts on society and the environment. We encourage researchers to submit their original research articles, reviews, and case studies to this Special Issue. Contributions that incorporate multidisciplinary approaches and data-driven methodologies will be especially welcome. Together, let us address the challenges of droughts and strive to build a more resilient and sustainable future.
This Special Issue seeks high-quality research papers that cover a broad spectrum of topics related to drought monitoring, simulation, and prediction. Potential areas of interest include remote sensing and monitoring, climate models and simulation, data assimilation and fusion, drought prediction, and early warning systems, hydrological and agricultural impacts, adaptation and mitigation strategies, uncertainty, and risk assessment.
Dr. Muhammad Abrar Faiz
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Atmosphere is an international peer-reviewed open access monthly 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 2400 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.
- droughts monitoring
- simulation and prediction
- remote sensing
- climate models
- drought indices
- data assimilation
- early warning systems
- hydrological impacts
- agricultural impacts
- adaptation strategies
- water resources
- sustainable development