Applied Research in Geographical Sciences

Applied Research in Geographical Sciences

Reanalysis of 500 hP patterns generating temperatures above 50 ° C in West Asia

Authors
1 Ph.D. student of climatology , Tarbiat Modares University, Tehran, Iran
2 associated professor of climatology , Tarbiat Modares University, Tehran, Iran
3 professor of climatology , Tarbiat Modares University, Tehran, Iran
Abstract
In this study, for statistical studies to determine days whit temperature above 50°c, the reanalyzed data of the nineteenth, twentieth and twenty-first centuries for the West Asia region (12 to 42.5 degrees north latitude and 36 to 63.5 degrees east longitude) have been used. Also, for synoptic analysis of extreme temperatures, HGT, AIR, UWND, VWND and SLP data were used. To conduct this research, first, extreme temperature data above 50° during the last 185 years were extracted for the study area in the hot season (June, July, August and September). After identifying days whit above 50° c, HGT data at the level of 500 hp were extracted and WARD clustering was applied. Finally, after identifying the clusters, the days whit the highest temperature that occurred in each cluster were selected for synoptic analysis. It can be said that all altitude patterns of geopotential meters (HGT) at the level of 500 hp show that the main cause of occurrence and distribution of temperatures above 50°c in West Asia are high-altitude (high-pressure) subtropical West Asia, which due to the location of its high-pressure core on the Zagros and sometimes the Arabian Peninsula, it has been referred to as the Zagros or Saudi high-pressure in terms of interest and taste. What is certain, however, is the high-pressure independent identity of the subtropical Azores, which has been mentioned in numerous articles and is known to be the main cause of the heat in the West Asian region, especially Iran.
Keywords

Ahmadalipour A, Moradkhani H. (2018). Escalating heat-stress mortality risk due to global warming in the Middle East and North Africa (MENA). Environment International, 117, 215-225. http://doi .org/10.1016/j.envint.2018.05.014.
Alahmad B, Shakarchi A. F, Khraishah H, Alseaidan M, Gasana J, Al-Hemoud A, Koutrakis P, Fox M. A. (2020). Extreme temperatures and mortality in Kuwait: Who is vulnerable? Science of the Total Environment, 732, 1-7. http://doi.org/10.1016/j.scitotenv.139289.
Barriopedro D, Sousa P. M, Trigo R. M, Garcia-Herrera R, and Ramos A. M. (2020). The exceptional Iberian heatwave of summer 2018. American Meteorological Society, 15-19. http://doi.org/10.1175/ BAMS-D-19-0159.1.
Chen Y, Hu Q, Yang Y, Qian W. (2016). Anomaly based analysis of extreme heat waves in Eastern Chin during 1981-2013. International Journal of Climatology. https://doi.org/10.1002/joc.4724.
Dashkhuu D, Kim J. P, Chun J. A, Lee W. S. (2015). Long-term trends in daily temperature extremes over Mongolia. Weather and Climate Extremes, 26 - 33. http://dx.doi.org/10.1016/j.wace.2014.11.003.
Di Luca A, Di Elia R, Bador M, Argueso D. (2020). Contribution of mean climate to hot temperature extremes for present and future climates. Weather and Climate Extremes, 1-16. https://doi.org/10 .1016/j.wace.2020.100255.
El Kenawy A. M, Lopez-Moreno J. I, McCabe M. F, et al. (2019). Daily temperature extremes over Egypt: Spatial pattern, temporal trends, and driving forces. Atmospheric Research, 1-50. https://doi .org/10.1016/j.atmosres.2019.04.030.
Engdaw M. M, Ballinger A. P, Hegerl G. C, Steiner A. K. (2021). Changes in temperature and heat waves over Africa using observational and reanalysis data sets. International Journal of Climatology, 1-29. https://doi.org/10.1002/joc.7295.
Ghavidel Y, Ahmadi M. (2015). Statistical analysis and temporal trend of annual maximum temperatures of Abadan in Southwestern of Iran. Arabian Journal of Geosciences, 8 (10): 8219–8228. DOI: 10.1007/s12517-014-1760-9.
Hudson D, Marshall A. G, Alves O. (2011). Intra-seasonal Forecasting of the 2009 summer and Winter Australian Heat Waves Using POAMA. Center for Australian Weather and Climate Research 257-278. https://doi.org/10.1175/WAF-D-10-05041.1.
Hunt B. G. (2007). A Climatology of Heat Waves from a Multimillennial Simulation. Journal of Climate, 3802-3821. http://doi.org/10.1175/jcli4224.1.
Jiang Q, Yue Y, Gao L. (2019). The spatial-temporal patterns of heat wave hazard impacts on wheat in northern China under extreme climate scenarios. Geomatics, Natural Hazards and Risk, 2346-2367. http://doi.org/10.1080.19475705.2019.1693435.
Kong Q, Guerreiro S. B, Blenkinsop S, Li X. F, Fowler H. J. (2020). Increases in summertime concurrent drought and heatwave in Eastern China. Weather and Climate Extremes, 1-8. https://doi .org/10.1016/j.wace.2019.100242.
Lewis S. C, King A. D, Perkins S. E, Mitchell D. M. (2019). Regional hotspot of temperature extremes under 1.5 C and 2 C of global mean warming. Weather and Climate Extremes, 1-11. http:// doi.org/10.1016/j.wace.2019.100233.
Marshall A. G, Hudson D, Wheeler M. C, Alves O, Henon H. H, Pook M. J, Risbey J. S. (2013). Intra-seasonal Drivers of Extreme Heat Over Australia in Observation and POAMA-2. Climate Dynamics. http://doi.org/10.1007/s00382-013-2016-1.
Mildrexler D. J, Zhao M, Cohen W. B, Running S. W, Song X. P, Jones M. O. (2018). Thermal anomalies detect critical global land surface changes. Journal of Applied Meteorological and Climatology, 391-411. https://doi.org/10.1175/jamc-d-17-0093.1
Mildrexler D. J, Zhao M, Running S. W. (2011). Satellite finds highest land skin temperatures on earth. American Meteorological Society, 855-860. https://doi.org/10.1175/ 2011BAMS3067.1
Pal J. S, Eltahir E. A. B. (2015). Future temperature in southwest Asia projected to exceed a threshold for human adaptability. Nature Climate Change. https://doi.org/10.1038/ nclimate2833.
Perkins S. E. (2015). A review on the scientific understanding of heatwaves-Their measurement, driving mechanisms, and changes at the global scale. Atmospheric Research, 242-267. http://dx.doi. org/10.1016/j.atmosres.2015.014.
Roy S. S. (2019). Spatial patterns of trends in seasonal extreme temperatures in India during 1980-2010. Weather and Climate Extremes. http://doi.org/10.1016/j.wace.100203.
Sousa P. M, Barropedro D, Ramos A. M, Garcia-Herrera R, Espirito-Santo F, Trigo R. M. (2019). Saharan air intrusions as a relevant mechanism for Iberian heatwaves: The record breaking events of August 2018 and June 2019. Weather and Climate Extremes, 1-13. https://doi.org/10 .1016/j.wace.2019.100224.
Wang X. L, Feng Y, Compo G. P, Swail V. R, Zwiers F. W, Allan R. J, Sardeshmukh P. D. (2012). Trends and low frequcy variability of extra-tropical cyclone activity in the ensemble of twentieth century reanalysis. Climate Dynamics, 2775-2800. http://doi.org/10.1007 /s00382 -012 -1450 -9.
Xie W, Zhou B, You Q, Zhang Y, Ullah S. (2020). Observed changes in heat waves whit different severities in China during 1961-2015. Theoretical and Applied Climatology. https://doi.org/10.1007 /s00704-020-03285-2.
Yin C, Yang F, Wang J, Ye Y. (2020). Spational distribution and risk assessment of heat waves based on apparent temperature in the one belt and one road region. Remote Sensing, 1-21. https:// doi.org/10.3390/rs12071174.
Ying X, Tao Z. B, Jie W, Yu H. Z, Xiang Z. Y, Jia W. (2017). Asian climate change under 1.5_4 C warming targets. Advances in Climate Change Research, 99-107. http://dx.doi.org/10.1016/j.accre .2017.05.004.
Zhang X, Aguilar E, Sensoy S, Melkonyan H, Tagiyeva U, et al. (2005). Trends in Middle East climate extreme indices from 1950 to 2003. Journal of Geophysical Research, 1-12. http://doi.org/10.1029 /2005JD006181.
Zittis G, Hadjinicolaou P, Fnais M, Lelieveld J. (2016). Projected changes in heat wave characteristics in the eastern Mediterranean and the Middle East. Reg Environ Change 16:1863-1876. https://doi.org/1007/s10113-014-0753-2.