Prof. Mohammad Darand | Planetary Sciences | Best Researcher Award
Professor of Climatology, University of Kurdistan, Iran
Mohammad Darand possesses advanced research skills in climatology and climate change, demonstrated through his extensive academic and publication record. His expertise encompasses spatiotemporal analysis, statistical methods, and predictive modeling, crucial for understanding complex climate patterns. Darand excels in utilizing high-resolution data and sophisticated analytical techniques to assess precipitation variability, air quality, and temperature extremes. His proficiency in handling diverse climatological datasets and employing advanced statistical software enhances the robustness of his research findings. Moreover, Darand’s ability to integrate theoretical insights with empirical data showcases his strong analytical capabilities. His collaborative approach to research, reflected in numerous multi-author publications, underscores his capacity to work effectively within interdisciplinary teams. Darand’s teaching experience further highlights his deep understanding of climatological concepts and methodologies, enabling him to communicate complex research effectively to both academic and broader audiences.
Education
Mohammad Darand’s educational background reflects a solid foundation in climatology and environmental sciences. He earned his Ph.D. in Synoptic Climatology from the University of Isfahan in 2011, under the guidance of Professor Abolfazl Masoodian. His doctoral research focused on synoptic patterns and their impacts on climate variability. Prior to his Ph.D., Darand completed his M.Sc. in Environmental Climatology at the University of Tarbiat Modaress in 2008, where he was advised by Professor Manuchehr Farajzadeh. His master’s thesis contributed to understanding environmental climate dynamics. He began his academic journey with a B.Sc. in Climatology from Kharazmi University in 2006. This comprehensive educational background has equipped him with a deep understanding of climatological processes and methodologies, forming a strong basis for his subsequent research and academic achievements.
Professional Experiences
Mohammad Darand has demonstrated a distinguished career in climatology through a series of progressive academic roles. Since February 2021, he has served as a Professor at the University of Kurdistan, Iran, following a tenure as Associate Professor from February 2016. His academic journey began as an Assistant Professor at the same institution in Fall 2012. Darand’s research expertise is reflected in his extensive publication record, with numerous articles in esteemed journals such as Climatic Change and International Journal of Climatology. His research interests cover a wide range of climatological topics, including precipitation variability, air quality, and temperature extremes. In addition to his research, Darand has been a dedicated instructor, teaching courses in Synoptic Climatology, Advanced Statistical Methods, and Climatic Software since Fall 2011. His contributions to both research and education underscore his significant impact in the field of climatology.
Research Interest
Mohammad Darand’s research interests primarily encompass climatology and climate change, with a focus on synoptic and dynamic climatology. His work delves into the spatiotemporal variability of precipitation, the effects of air quality on climate, and the analysis of temperature extremes. Darand explores the impacts of climate change on environmental and meteorological patterns, utilizing advanced statistical methods and climate models to study trends and variability. His research also includes evaluating atmospheric conditions and their influence on droughts and extreme weather events. By integrating data from various sources, such as satellite observations and reanalysis datasets, Darand aims to enhance understanding of climate dynamics and contribute to effective climate adaptation strategies. His interdisciplinary approach and extensive publication record reflect a commitment to advancing knowledge in climatology and addressing critical issues related to climate variability and change.
Research Skills
Mohammad Darand possesses advanced research skills in climatology and climate change, demonstrated through his extensive academic and publication record. His expertise encompasses spatiotemporal analysis, statistical methods, and predictive modeling, crucial for understanding complex climate patterns. Darand excels in utilizing high-resolution data and sophisticated analytical techniques to assess precipitation variability, air quality, and temperature extremes. His proficiency in handling diverse climatological datasets and employing advanced statistical software enhances the robustness of his research findings. Moreover, Darand’s ability to integrate theoretical insights with empirical data showcases his strong analytical capabilities. His collaborative approach to research, reflected in numerous multi-author publications, underscores his capacity to work effectively within interdisciplinary teams. Darand’s teaching experience further highlights his deep understanding of climatological concepts and methodologies, enabling him to communicate complex research effectively to both academic and broader audiences.
- Evaluation of the performance of TRMM Multi-satellite Precipitation Analysis (TMPA) estimation over Iran
- Authors: M. Darand, J. Amanollahi, S. Zandkarimi
- Year: 2017
- Citations: 126
- Regionalization of precipitation regimes in Iran using principal component analysis and hierarchical clustering analysis
- Authors: M. Darand, M.R. Mansouri Daneshvar
- Year: 2014
- Citations: 93
- High accuracy of precipitation reanalyses resulted in good river discharge simulations in a semi-arid basin
- Authors: M.R. Eini, S. Javadi, M. Delavar, J.A.F. Monteiro, M. Darand
- Year: 2019
- Citations: 61
- Spatial and temporal trend analysis of temperature extremes based on Iranian climatic database (1962–2004)
- Authors: M. Darand, A. Masoodian, H. Nazaripour, M.R. Mansouri Daneshvar
- Year: 2015
- Citations: 55
- Statistical evaluation of gridded precipitation datasets using rain gauge observations over Iran
- Authors: M. Darand, K. Khandu
- Year: 2020
- Citations: 53
- Spatial autocorrelation analysis of extreme precipitation in Iran
- Authors: M. Darand, M. Dostkamyan, M.I.A. Rehmani
- Year: 2017
- Citations: 53
- Identifying drought-and flood-prone areas based on significant changes in daily precipitation over Iran
- Authors: M. Darand, M.M. Sohrabi
- Year: 2018
- Citations: 49
- The correlation between air pollution and human mortality in Tehran
- Authors: M.H. Gholizadeh, M. Farajzadeh, M. Darand
- Year: 2009
- Citations: 47