Abstract
In late July 2018, a compound drought and heat event (CDHE) occurred in the middle of the Yangtze River basin (MYRB) and caused great damage to the national economy. The CDHE over the MYRB has been documented to be linked with intraseasonal oscillations (ISOs) from different regions. However, specific roles of different ISOs on the development of the CDHE cannot be separated in the observational analysis. By using partial lateral forcing experiments driven by ISO in the Weather Research and Forecasting (WRF) model, we found that the midlatitude ISO generated by a westerly wave train in the upper troposphere played an important role in this heatwave and drought event in the northern MYRB, causing a regional average temperature rise of 1.65°C and intensification of drought over 23.49% of the MYRB area. On the other hand, the ISO associated with the Pacific-Japan (PJ)-like teleconnection wave train in the lower troposphere induced a more pronounced impact on the event, causing an average temperature rise of 2.44°C, intensifying drought over 29.62% of the MYRB area. The MYRB was mainly affected by northward warm advection driven by the westward extension of the western North Pacific subtropical high in the early period of the CDHE development. In the late period, because of the establishment of a deep positive geopotential height field through the troposphere leading to intensive local subsidence, there was a remarkable temperature rise and moisture decrease in the MYRB. The results will facilitate a better understanding of the occurrence of CDHE and provide empirical precursory signals for subseasonal forecast of CDHE.
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Abhik, S., R. P. M. Krishna, M. Mahakur, et al., 2017: Revised cloud processes to improve the mean and intraseasonal variability of Indian summer monsoon in climate forecast system: Part 1. J. Adv. Model Earth Syst., 9, 1002–1029, doi: https://doi.org/10.1002/2016ms000819..
Brás, T. A., J. Seixas, N. Carvalhais, et al., 2021: Severity of drought and heatwave crop losses tripled over the last five decades in Europe. Environ. Res. Lett., 16, 065012, doi: https://doi.org/10.1088/1748-9326/abf004.
Cao, X., T. Li, M. Peng, et al., 2014: Effects of monsoon trough intraseasonal oscillation on tropical cyclogenesis over the western North Pacific. J. Atmos. Sci., 71, 4639–4660, doi: https://doi.org/10.1175/JAS-D-13-0407.1.
Chen, F., and J. Dudhia, 2001: Coupling an advanced land surface- hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity. Mon. Wea. Rev., 129, 569–585, doi: https://doi.org/10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2.
Ching, L., C.-H. Sui, M.-J. Yang, et al., 2015: A modeling study on the effects of MJO and equatorial Rossby waves on tropical cyclone genesis over the western North Pacific in June 2004. Dyn. Atmos. Oceans, 72, 70–87, doi: https://doi.org/10.1016/j.dynatmoce.2015.10.002.
CMA, 2021: Blue Book on Climate Change in China (2021). Science Press, Beijing, 109 pp. (in Chinese)
Collins, W., P. J. Rasch, B. A. Boville, et al., 2004: Description of the NCAR Community Atmosphere Model (CAM 3.0). NCAR Tech. Note NCAR/TN-464+STR. University Corporation for Atmospheric Research, Boulder, 214 pp, doi: https://doi.org/10.5065/D63N21CH.
Feng, L., T. Li, and W. D. Yu, 2014: Cause of severe droughts in Southwest China during 1951-2010. Climate Dyn., 43, 2033–2042, doi: https://doi.org/10.1007/s00382-013-2026-z..
Gao, M. N., J. Yang, B. Wang, et al., 2018: How are heat waves over Yangtze River valley associated with atmospheric quasibiweekly oscillation? Climate Dyn., 51, 4421–4437, doi: https://doi.org/10.1007/s00382-017-3526-z.
General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China, Standardization Administration of the People’s Republic of China, 2017: Grades of Meteorological Drought. GB/T 20481-2017. Standards Press of China, Beijing, 24 pp. (in Chinese)
Hao, Z. C., F. H. Hao, Y. L. Xia, et al., 2019: A monitoring and prediction system for compound dry and hot events. Environ. Res. Lett., 14, 114034, doi: https://doi.org/10.1088/1748-9326/AB4DF5..
Hersbach, H., B. Bell, P. Berrisford, et al., 2020: The ERA5 global reanalysis. Quart. J. Roy. Meteor. Soc., 146, 1999–2049, doi: https://doi.org/10.1002/qj.3803..
Hong, J. L., Z. J. Ke, Y. Yuan, et al., 2021: Boreal summer intraseasonal oscillation and its possible impact on precipitation over southern China in 2019. J. Meteor. Res., 35, 571–582, doi: https://doi.org/10.1007/s13351-021-0189-9.
Hong, S.-Y., J. Dudhia, and S.-H. Chen, 2004: A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation. Mon. Wea. Rev., 132, 103–120, doi: https://doi.org/10.1175/1520-0493(2004)132<0103:ARATIM>2.0.CO;2.
Huang, Y., T. G. Xiao, and R. H. Jin, 2019: Effects of low-frequency oscillation on the persistent extreme precipitation in Sichuan Basin. J. Appl. Meteor. Sci., 30, 93–104, doi: https://doi.org/10.11898/1001-7313.20190109. (in Chinese)
IPCC, 2021: Summary for policymakers. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, V. Masson-Delmotte, P. Zhai, A. Pirani, et al., Eds., Cambridge University Press, New York, 40 pp.
Janjić, Z. I., 1994: The step-mountain eta coordinate model: Further developments of the convection, viscous sublayer, and turbulence closure schemes. Mon. Wea. Rev., 122, 927–945, doi:https://doi.org/10.1175/1520-0493(1994)122<0927:TSMECM>2.0.CO;2.
Janjić, Z. I., 2000: Comments on “Development and evaluation of a convection scheme for use in climate models”. J. Atmos. Sci., 57, 3686, doi: https://doi.org/10.1175/1520-0469(2000)057<3686:CODAEO>2.0.CO;2.
Janjić, Z. I., 2002: Nonsingular Implementation of the Mellor-Yamada Level 2.5 Scheme in the NCEP Meso Model. NCEP Office Note, 437. National Centers for Environmental Prediction, College Park, 61pp.
Li, C. Y., M. Q. Mu, and Z. X. Long, 2003: Influence of intraseasonal oscillation on East-Asian summer monsoon. J. Meteor. Res., 17, 130–142.
López-Moreno, J. I., S. M. Vicente-Serrano, E. Morán-Tejeda, et al., 2011: Effects of the North Atlantic Oscillation (NAO) on combined temperature and precipitation winter modes in the Mediterranean mountains: Observed relationships and projections for the 21st century. Global Planet. Change, 77, 62–76, doi: https://doi.org/10.1016/j.gloplacha.2011.03.003.
Mao, J. Y., and G. X. Wu, 2006: Intraseasonal variations of the Yangtze rainfall and its related atmospheric circulation features during the 1991 summer. Climate Dyn., 27, 815–830, doi: https://doi.org/10.1007/s00382-006-0164-2.
NDRCC, 2018: Basic situation of natural disasters in July 2018. Available online at http://www.ndrcc.org.cn/zqtj/395.jhtml. Accessed on 27 December 2021.
Qi, X., J. Yang, M. N. Gao, et al., 2019: Roles of the tropical/extratropical intraseasonal oscillations on generating the heat wave over Yangtze River Valley: A numerical study. J. Geophys. Res. Atmos., 124, 3110–3123, doi: https://doi.org/10.1029/2018JD029868.
Ralph, F. M., P. J. Neiman, G. N. Kiladis, et al., 2011: A multiscale observational case study of a Pacific atmospheric river exhibiting tropical--Extratropical connections and a mesoscale frontal wave. Mon. Wea. Rev., 139, 1169–1189, doi: https://doi.org/10.1175/2010MWR3596.1..
Samanta, D., M. K. Dash, B. N. Goswami, et al., 2016: Extratropical anticyclonic Rossby wave breaking and Indian summer monsoon failure. Climate Dyn., 46, 1547–1562, doi: https://doi.org/10.1007/s00382-015-2661-7.
Skamarock, W. C., J. B. Klemp, J. Dudhia, et al., 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, National Center for Atmospheric Research, Boulder, 145 pp.
Takaya, K., and H. Nakamura, 2001: A formulation of a phase-independent wave-activity flux for stationary and migratory quasigeostrophic eddies on a zonally varying basic flow. J. Atmos. Sci., 58, 608–627, doi: https://doi.org/10.1175/1520-0469(2001)058<0608:AFOAPI>2.0.CO;2..
Thornthwaite, C. W., 1948: An approach toward a rational classification of climate. Soil Sci., 66, 77, doi: https://doi.org/10.1097/00010694-194807000-00007.
Wang, H. L. and L. F. Liao, 2015: WRF model’s simulation study on the drought in Southwest China. J. Guizhou Meteor., 39, 1–5, doi: https://doi.org/10.3969/j.issn.1003-6598.2015.06.001. (in Chinese)
Wang, L., T. Li, T. J. Zhou, et al., 2013: Origin of the intraseasonal variability over the North Pacific in boreal summer. J. Climate, 26, 1211–1229, doi: https://doi.org/10.1175/JCLI-D-11-00704.1..
Wang, L. J., A. G. Dai, S. H. Guo, et al., 2017: Establishment of the South Asian high over the Indo-China Peninsula during late spring to summer. Adv. Atmos. Sci., 34, 169–180, doi: https://doi.org/10.1007/s00376-016-6061-7.
Wei, N. W., X. M. Li, and Y. F. Gong, 2021: Influence of atmospheric low-frequency oscillations over Qinghai-Tibet Plateau on heatwaves in the Yangtze River Basin in summer of 2013. Plateau Mt. Meteor. Res., 41, 1–8, doi: https://doi.org/10.3969/j.issn.1674-2184.2021.01.001. (in Chinese)
Wu, J., and X. J. Gao, 2013: A gridded daily observation dataset over China region and comparison with the other datasets. Chinese J. Geophys., 56, 1102–1111, doi: https://doi.org/10.6038/cjg20130406. (in Chinese)
Yanai, M., S. Esbensen, and J.-H. Chu, 1973: Determination of bulk properties of tropical cloud clusters from large-scale heat and moisture budgets. J. Atmos. Sci., 30, 611–627, doi: https://doi.org/10.1175/1520-0469(1973)030<0611:DOBPOT>2.0.CO;2.
Yang, H. W., and B. Wang, 2015: Partial lateral forcing experiments reveal how multi-scale processes induce devastating rainfall: A new application of regional modeling. Climate Dyn., 45, 1157–1167, doi: https://doi.org/10.1007/s00382-014-2365-4..
Yang, J., Q. Bao, B. Wang, et al., 2014: Distinct quasi-biweekly features of the subtropical East Asian monsoon during early and late summers. Climate Dyn., 42, 1469–1486, doi: https://doi.org/10.1007/s00382-013-1728-6.
Ye, L., K. Shi, Z. H. Xin, et al., 2019: Compound droughts and heat waves in China. Sustainability, 11, 3270, doi: https://doi.org/10.3390/su11123270.
Yu, R., and P. M. Zhai, 2020: More frequent and widespread persistent compound drought and heat event observed in China. Sci. Rep., 10, 14576, doi: https://doi.org/10.1038/s41598-020-71312-3..
Yuan, W. P., W. W. Cai, Y. Chen, et al., 2016: Severe summer heatwave and drought strongly reduced carbon uptake in Southern China. Sci. Rep., 6, 18813, doi: https://doi.org/10.1038/srep18813..
Zou, X. K., and H. Gao, 2007: Analysis of severe drought and heat wave over the Sichuan basin in the summer of 2006. Adv. Climate Change Res., 3, 149–153, doi: https://doi.org/10.3969/j.issn.1673-1719.2007.03.005. (in Chinese)
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We are truly grateful to the two reviewers for providing professional comments and suggestions to this study. The authors would like to thank Dr. Qi Xin from Beijing Normal University for the design of the PLF numerical simulation.
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Supported by the National Natural Science Foundation of China (41875111 and 41975073) and Special Program for Innovation and Development of China Meteorological Administration (CXFZ2022J031).
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Lu, C., Shen, Y., Li, Y. et al. Role of Intraseasonal Oscillation in a Compound Drought and Heat Event over the Middle of the Yangtze River Basin during Midsummer 2018. J Meteorol Res 36, 643–657 (2022). https://doi.org/10.1007/s13351-022-2008-3
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DOI: https://doi.org/10.1007/s13351-022-2008-3