تحقیقات کاربردی علوم جغرافیایی

تحقیقات کاربردی علوم جغرافیایی

Dynamical and Synoptic Characteristics of Extreme Precipitation Events in Western Iran (Case Study: Kurdistan Province)

نویسندگان
Mohammad Darand 1
Mehran Ghaffari 2
1 Professor at Department of Climatology, University of Kurdistan, Sanandaj, Iran
2 Department of Climatology, University of Kurdistan, Sanandaj, Iran
چکیده
Extreme precipitation events pose a significant and growing threat to society, often leading to floods, landslides, and widespread socio-economic damage. Daily precipitation data collected from 9 rain gauges during 1/1/1991 to 31/12/2023. To identify days associated with heavy precipitation, the 95th-percentile threshold was employed. Days on which the recorded precipitation exceeded the long-term mean of the 95th percentile at more than half stations were classified as heavy-precipitation days for Kurdistan Province. Based on this threshold and criterion, 210 days were selected. Two data arrays with an S-mode structure were constructed for sea-level pressure and 500-hPa geopotential height. Using Principle Component Analysis (PCA) analysis, components explaining more than one percent of the variance were retained as significant modes. For sea-level pressure, nine components were identified, and for the 500-hPa geopotential height, eight components were extracted. Together, these components explained over 92% of the variance in sea-level pressure and more than 95% of the variance in the 500-hPa geopotential height over the study domain. Cluster analysis (CA) performed on the score matrix of the 17 components was then used to identify the prevailing circulation patterns.
کلیدواژه‌ها
PCA
Ca
Synoptic Analysis
Extreme precipitation
Adhikari, P., Geerts, B., Rahimi, S., Shuman, B., Smith, K., & Day, K. (2025). Global warming induced changes in extreme precipitation in the western United States: Projections from dynamically downscaled CMIP6 GCMs. Geophysical Research Letters, 52, e2025GL116113. https://doi.org/10.1029/2025GL116113.
Capozzi, V., Annella, C., and Budillon, G., (2023). Classification of daily heavy precipitation patterns and associated synoptic types in the Campania Region (southern Italy), Atmospheric Research, vol. 289, 106781. doi:10.1016/j.atmosres.2023.106781.
Chen, D., Norris, J., Thackeray, C., & Hall, A. (2022). Increasing precipitation whiplash in climate change hotspots. Environmental Research Letters, 17(12), 124011. https://doi.org/10.1088/1748-9326/aca3b9.
Darand M. (2015). Synoptic analysis of heavy precipitations of Kurdistan province. Journal of Applied Researches in Geographical Sciences. 15(37), 47-70.
Darand, M. (2016). Trend of Changes in Extreme Precipitations Frequency over Iran, Geography and Environmental Planning, 27: 29-42.
Darand, M., & Sohrabi, M. M. (2018). Identifying drought- and flood-prone areas based on significant changes in daily precipitation over Iran. Natural Hazards, 90 (3), 1427–1446. https://doi.org/10.1007/s11069-017-3106-x.
Darand, M (2025) Probability changes of observed extreme precipitation events over Iran from 1962 to 2019. Science of the Total Environment. 998: 180298.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Vitart, F. (2011). The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society, 137(656), 553–597. https://doi.org/10.1002/qj.828.
Donat, M. G., Lowry, A. L., Alexander, L. V., O’Gorman, P. A., & Maher, N. (2019). More extreme precipitation in the world’s dry and wet regions. Nature Climate Change, 6, 508–513.
Frame D.J., Rosier S.M., Noy I., Harrington L.J., Carey-Smith T., Sparrow S.N., Stone D.A., Dean S.M. (2020). Climate change attribution and the economic costs of extreme weather events: A study on damages from extreme rainfall and drought. Clim. Change, 162, pp. 781-797.
Ghavidel, Y., Jafari Hombari, F (2020). Synoptic analysis of unexampled super‑heavy rainfall on April 1, 2019, in west of Iran, Natural Hazards 104:1567–1580. https://doi.org/10.1007/s11069-020-04232-0
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Joseph, D. (1996). The NCEP/NCAR 40-year reanalysis project. Bulletin of the American Meteorological Society, 77(3), 437–471. https://doi.org/10.1175/1520-0477(1996)0772.0.CO;2
Kirchmeier-Young, M. C., & Zhang, X. (2020). Human influence has intensified extreme precipitation in North America. Proceedings of the National Academy of Sciences, 117(24), 13308–13313. https://doi.org/10.1073/pnas.1921628117.
Liu Y., Chen J., Pan T., Liu Y., Zhang Y., Ge Q., Ciais P., Penuelas J. (2020). Global Socioeconomic Risk of Precipitation Extremes Under Climate Change Earth’s Future, 8, 10.1029/2019ef001331 e2019EF001331
Mullan D., Favis-Mortlock D., Fealy R. (2012). Addressing key limitations associated with modelling soil erosion under the impacts of future climate change. Agricult. Forest Meteorol., 156 (2012), pp. 18-30
Paerl H.W., Crosswell J.R., Van Dam B., Hall N.S., Rossignol K.L., Osburn C.L., Hounshell A.G., Sloup R.S., Harding L.W. (2018). Two decades of tropical cyclone impacts on North Carolina’s estuarine carbon, nutrient and phytoplankton dynamics: Implications for biogeochemical cycling and water quality in a stormier world Biogeochemistry, 141 (3), pp. 307-332.
Park, Chanil, Daehyok Kim, Jina Hur, Yoo-Geun Ham, and June-Yi Lee. (2021). Diverse Synoptic Weather Patterns of Warm-Season Heavy Rainfall Events in South Korea.Monthly Weather Review 149 (8): 2721–40. https://doi.org/10.1175/MWR-D-20-0365.1.
Pastor-Paz J., Noy I., Sin I., Sood A., Fleming-Munoz D., Owen S. (2020). Projecting the effect of climate change on residential property damages caused by extreme weather events J. Environ. Manag., 276, Article 111012.
Rahimi, M. R., Mohammadi, Z., & Zarrin, A. (2021). Identification of synoptic patterns of widespread extreme precipitation in central Iran. Theoretical and Applied Climatology, 144, 1267–1280. https://doi.org/10.1007/s00704-021-03597-x.
Sanuy, M., Peña, J. C., Assimenidis, S., and Jiménez, J. A. (2024). Synoptic weather patterns conducive to compound extreme rainfall–wave events in the NW Mediterranean, Hydrol. Earth Syst. Sci., 28, 283–302, https://doi.org/10.5194/hess-28-283-2024.
Schiermeier Q. (2011). Increased flood risk linked to global warming. Nature. 470 (7334):316. doi: 10.1038/470316a. PMID: 21331014.
Soltani, M., Hamelers, B., Mofidi, A., Fletcher, C. G., Staal, A., Dekker, S. C., Laux, P., Arnault, J., Kunstmann, H., van der Hoeven, T., and Lanters, M. (2023). A 20-year satellite-reanalysis-based climatology of extreme precipitation characteristics over the Sinai Peninsula, Earth Syst. Dynam., 14, 931–953, https://doi.org/10.5194/esd-14-931-2023.
Sun, Q., X. Zhang, F. Zwiers, S. Westra, and L. V. Alexander, (2021). A Global, Continental, and Regional Analysis of Changes in Extreme Precipitation. J. Climate, 34, 243–258, https://doi.org/10.1175/JCLI-D-19-0892.1.
Teixeira, M. S., and P. Satyamurty, (2007). Dynamical and Synoptic Characteristics of Heavy Rainfall Episodes in Southern Brazil. Monthly Weather Review., 135, 598–617, https://doi.org/10.1175/MWR3302.1.
Westra, S., Alexander, L. V., & Zwiers, F. W. (2013). Global increasing trends in annual maximum daily precipitation. Journal of Climate, 26(11), 3904–3918.
Zeder, J., & Fischer, E. M. (2020). Observed extreme precipitation trends and their relation to global warming. Weather and Climate Extremes, 29, 100281.
Zhang W., Zhou T. (2020). Increasing impacts from extreme precipitation on population over China with global warming Science Bulletin, 65, pp. 243-252, 10.1016/j.scib.2019.12.002
Zhang W., Zhou T., Zou L., Zhang L., Chen X. (2018). Reduced exposure to extreme precipitation from 0.5 °C less warming in global land monsoon regions. Nature Communications, 9, p. 3153, 10.1038/s41467-018-05633-3.
تحقیقات کاربردی علوم جغرافیایی
دوره 25، شماره 0
زمستان 1404