Musa Eşit’s research has had a significant impact on the scientific community, as reflected in his citation metrics. As of now, his work has accumulated 551 total citations, with 520 citations coming since 2020, showing the recent relevance and growing influence of his research. His h-index stands at 13, with 12 in the last few years, demonstrating that his research has been consistently cited and widely recognized. Furthermore, Musa has an i10-index of 15, with 14 articles cited at least 10 times, which highlights his continued contribution to the field and his growing presence in the academic literature. These metrics underscore the importance of his work in the domain of hydrology, climate change, and water resources management.
Assoc. Prof Musa Esit: Researcher at Adiyaman University, Turkey
Musa Eşit is a highly accomplished Turkish civil engineer with a deep specialization in hydraulic engineering, hydrology, and climate change impacts on water resources. Holding a PhD from Gaziantep University, Musa has built a career focused on understanding and managing hydrological droughts. His research is driven by the application of advanced statistical techniques, such as copula functions, to analyze drought severity, duration, and frequency in Turkish river basins. His academic journey has included substantial international exposure as a visiting scientist at Auburn University in the USA, where he collaborated on soil moisture drought forecasting and climate-hydrological modeling. A passionate researcher and educator, Musa aims to contribute to sustainable water management strategies for regions prone to extreme climate conditions.
Online Profiles
Musa Eşit maintains an active presence on several academic and professional platforms. His publications are available on ResearchGate, where his work on drought analysis and hydrological modeling has been widely cited. His Google Scholar profile further reflects his contributions to the field, showcasing an impressive list of peer-reviewed articles. Musa is also active on LinkedIn, where he connects with fellow academics, researchers, and professionals in the civil engineering and water resources sectors. His online presence serves as a bridge for collaboration on ongoing and future research projects, fostering discussions in his areas of expertise.
Education
Musa Eşit’s educational background is rooted in civil engineering, with a strong focus on hydraulic engineering and hydrology. He completed his undergraduate studies in Civil Engineering at Gaziantep University, graduating in 2012. Building on this foundation, he pursued a master’s degree at the same institution, where he delved into the hydraulic geometry of the Seyhan River. His doctoral work, completed in 2021, was dedicated to the application of copula functions for bivariate drought frequency analysis in the Ceyhan Basin. The depth of his academic training enables him to blend practical engineering knowledge with advanced research methodologies, making him a leading expert in his field.
Research Focus
Musa’s research focuses on the intersection of hydrology, climate change, and water resources management. A significant portion of his work examines the spatiotemporal variability of drought events in Turkish river basins, using both traditional and innovative statistical techniques. By applying copula-based models, Musa investigates the relationships between different hydrological variables to better understand drought risk. His research also explores the use of machine learning and artificial intelligence to predict meteorological and hydrological variables, aiming to improve drought early warning systems and management strategies. Additionally, he studies the influence of climatic extremes on river basin dynamics, with a focus on the implications for sustainable water resource planning.
Experience
Musa Eşit has extensive research and teaching experience in the field of hydraulic engineering. His tenure at Adıyaman University, where he has been working since 2013, has seen him involved in various high-impact research projects on water resources and climate change. During his time as a visiting scientist at Auburn University (2019-2020), Musa collaborated with global experts to develop cutting-edge drought forecasting methods. Earlier in his career, he worked on projects related to hydraulic geometry and the low-flow analysis of the Seyhan and Ceyhan rivers. His work spans a broad spectrum of applications, including environmental flow assessments, water quality monitoring, and the use of GIS and remote sensing technologies for hydrological analysis. Musa’s multidisciplinary expertise allows him to address both the technical and environmental challenges associated with hydrological extremes.
Research Timeline
Musa Eşit’s research trajectory began with his master’s thesis on the hydraulic geometry of the Seyhan River, a foundational project that set the stage for his future work. In 2015, he started his PhD, where his focus shifted to analyzing drought events in the Ceyhan Basin, using advanced statistical tools such as copula-based models. By 2020, Musa was working on ongoing projects like drought risk maps for the Middle Euphrates, Kızılırmak, and Yeşilırmak Basins, integrating hydrological data with copula models to predict future drought scenarios. His later work includes investigating drought trends using deep learning and AI, pushing the boundaries of traditional hydrology. As of 2023, Musa continues to explore the impacts of climate change on hydrological systems, contributing significantly to both national and international research efforts.
Awards & Honors
Musa Eşit’s dedication to advancing hydrological science has earned him recognition at both national and international levels. Notably, his work during his time as a visiting scientist at Auburn University garnered significant praise for its methodological innovation in drought prediction. His contributions to international conferences and symposia, particularly on topics related to water resource management and climate change, have established him as a leading researcher in the field. His research outputs have not only been influential in the academic world but have also had practical implications for water management policies in regions susceptible to drought. Musa’s work continues to inspire young researchers and practitioners in the field of civil engineering and hydrology.
Top-Noted Publication
Musa Eşit’s publication record includes several high-impact articles, but perhaps his most influential work is the 2021 paper “Seasonal to Multi-Year Soil Moisture Drought Forecasting,” published in npj Climate and Atmospheric Science, co-authored with Sanjiv Kumar. This paper has significantly advanced the understanding of multi-year drought forecasting by incorporating both seasonal variability and long-term soil moisture trends. The publication has been widely cited in climate science and hydrology, highlighting its impact on the field of drought prediction. Other notable works include his deep learning-based approaches to meteorological drought estimation, and his copula-based bivariate drought frequency analysis, both of which have received attention for their novel applications in hydrology and water resources engineering.
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Seasonal and Annual Precipitation Characteristics of Türkiye and the Influence of Atmospheric-Ocean Interactions
M. Esit, M.I. Yuce, I. Yasa, I.H. Deger
Stochastic Environmental Research and Risk Assessment, 1-18, 2025
This paper investigates the seasonal and annual precipitation patterns across Türkiye and explores how atmospheric and oceanic interactions influence these precipitation characteristics. The study emphasizes the complex relationship between climatic patterns and hydrological impacts in the region. -
Climate Change Impacts on Hydrological and Meteorological Variables in Diyarbakır Province: Trend Analysis and Machine Learning-Based Drought Forecasting
E. Akbas, R. Çelik, M. Esit, I.H. Deger
Theoretical and Applied Climatology, 156 (6), 295, 2025
This research analyzes the impacts of climate change on hydrological and meteorological variables in Diyarbakır, using trend analysis and machine learning techniques to forecast drought conditions. The paper underscores the role of advanced modeling in understanding regional climate dynamics and improving drought preparedness. -
Spatio-Temporal Variability of Hydrological Drought and Trends: Implementation of Classical and Innovative Approaches
I.H. Deger, M.I. Yuce, M. Esit
Water Resources Management, 1-32, 2025
This paper focuses on the spatio-temporal variability of hydrological droughts and trends across Türkiye. It contrasts classical approaches with innovative methods in drought trend analysis, contributing new insights into the temporal dynamics of hydrological drought events. -
Enhancing Sub-Seasonal Soil Moisture Forecasts Through Land Initialization
Y. Duan, S. Kumar, M. Maruf, T.M. Kavoo, I. Rangwala, J.H. Richter, et al.
npj Climate and Atmospheric Science, 8 (1), 100, 2025
In collaboration with other experts, Musa contributes to improving soil moisture forecasting techniques. This study explores how land initialization techniques can enhance sub-seasonal forecasts, with significant implications for drought and water resource management. -
Better with Fewer Features: Climate Dynamics Estimation for Van Lake Basin Using Feature Selection
Ö. Çoban, M. Esit, S. Yalçın, F. Bozkurt
Environmental Science and Pollution Research, 32 (10), 5849-5873, 2025
This paper focuses on climate dynamics in the Van Lake Basin, utilizing feature selection methods to enhance the accuracy of climate dynamics estimation models. The work highlights the importance of reducing complexity in predictive models without compromising their performance.
Musa Esit, Environmental Science, Best Researcher Award