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Mianabadi, Ameneh, Omidvar, Javad, Pourreza-Bilondi, Mohsen. (1403). Development of Intensity-Duration-Frequency curves at basin scale using the ERA5 reanalysis product. , 2(4), 121-140. doi: 10.22077/jdcr.2025.8636.1098
Ameneh Mianabadi; Javad Omidvar; Mohsen Pourreza-Bilondi. "Development of Intensity-Duration-Frequency curves at basin scale using the ERA5 reanalysis product". , 2, 4, 1403, 121-140. doi: 10.22077/jdcr.2025.8636.1098
Mianabadi, Ameneh, Omidvar, Javad, Pourreza-Bilondi, Mohsen. (1403). 'Development of Intensity-Duration-Frequency curves at basin scale using the ERA5 reanalysis product', , 2(4), pp. 121-140. doi: 10.22077/jdcr.2025.8636.1098
Mianabadi, Ameneh, Omidvar, Javad, Pourreza-Bilondi, Mohsen. Development of Intensity-Duration-Frequency curves at basin scale using the ERA5 reanalysis product. , 1403; 2(4): 121-140. doi: 10.22077/jdcr.2025.8636.1098

Development of Intensity-Duration-Frequency curves at basin scale using the ERA5 reanalysis product

مجله پژوهش های خشکسالی و تغییراقلیم
دوره 2، شماره 4 - شماره پیاپی 8، اسفند 1403، صفحه 121-140    اصل مقاله (1.72 M)
نوع مقاله: مقاله پژوهشی
شناسه دیجیتال (DOI): 10.22077/jdcr.2025.8636.1098
نویسندگان
Ameneh Mianabadi1؛ Javad Omidvar2؛ Mohsen Pourreza-Bilondi* 3
1Department of Ecology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran.
2Department of Water Sciences and Engineering, Faculty of Agricultural, Ferdowsi University of Mashhad, Mashhad, Iran.
3Department of Water Engineering, University of Birjand, Birjand, Iran.
چکیده
IDF (Intensity-Duration-Frequency) curves play a crucial role in hydrological modeling, infrastructure design, and flood risk management. Traditional methods, relying on ground-based observations, face challenges such as limited spatial coverage, short temporal records, and the stationary assumption, particularly under climate change. This study addresses these issues by utilizing ERA5 reanalysis data to develop basin-scale IDF curves for the Karkheh River Basin (KRB) in Iran. Annual Maximum Precipitation (AMP) series for 6-, 12-, 18-, and 24-hour durations were extracted from ERA5 data and corrected for bias using observations from seven synoptic stations. Bias correction significantly improved ERA5 estimates, particularly in high-altitude regions prone to systematic errors. An elevation-bias relationship was established to extend corrections basin-wide. The corrected AMP data were modeled with the Generalized Extreme Value (GEV) distribution under stationary and non-stationary conditions to construct spatially distributed IDF curves. Based on 82 grid points, these curves provide detailed rainfall intensity estimates, overcoming limitations of station-based methods. The findings underscore ERA5 data's potential, combined with bias correction, to enhance hydrological analyses in data-scarce regions by better capturing spatial variability and extreme precipitation. This work supports improved flood management and infrastructure planning. However, future research must address uncertainties in bias correction and parameter estimation while extending data records. High-resolution reanalysis datasets are pivotal for adapting to evolving climatic conditions, extreme weather, and prolonged droughts.
کلیدواژه‌ها
global gridded precipitation؛ climate change؛ Annual Maximum Precipitation؛ Bias correction
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