Comprehensive Assessment and Variation Characteristics of the Drought Intensity in North China Based on EID

Haiyan Zhao aShanxi Climate Center, Taiyuan, Shanxi, China

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XianYan Chen bNational Climate Center, Beijing, China

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JiaXi Yang cInstitute of Urban Meteorology, China Meteorological Administration, Beijing, China

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Chuang Yao aShanxi Climate Center, Taiyuan, Shanxi, China

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Qiang Zhang bNational Climate Center, Beijing, China

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Ping Mei dNanjing University of Science and Technology, Nanjing, China

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Abstract

Under the new background of climate change, it is very important to identify the characteristics of drought in North China. Based on the daily meteorological drought comprehensive index from 494 national meteorological stations in North China during 1961–2019, the drought processes and their intensity are identified by applying the “extreme” intensity–duration (EID) theory. Then, the stage variation characteristics of the drought trend, the average drought intensity, and the drought frequency are analyzed. The results show that among the five drought intensity indices the process maximum intensity demonstrates the greatest correlation coefficient with the disaster rate of drought in North China. Therefore, the process maximum intensity of drought is selected as the annual drought intensity to analyze the drought characteristics in North China. According to the climate warming trends, the study period is divided into three stages, that is, 1951–84 (stage I), 1985–97 (stage II), and 1998–2019 (stage III). The comprehensive results show that the drought intensity in North China has significant stage characteristics. In stage I, the drought shows an increasing trend in most parts of North China, but its average intensity is relatively weaker, with a lower severe drought frequency. The drought also shows an increasing trend in most parts in stage II, with a more significant increase rate than that in stage I, and the average drought intensity is the strongest and the severe drought frequency is the highest. In stage III, the drought shows a decreasing trend in some areas, and the average intensity is the weakest, with a lower severe drought frequency.

Significance Statement

In this paper, we develop a drought intensity formula, the maximum intensity of drought, based on the “extreme” intensity–duration theory. The maximum intensity of drought was then calculated and selected as an annual drought intensity to analyze the drought characteristics in North China. We found that the annual drought intensity better captured the extremity and the patterns of drought process than that obtained with single indices and comprehensive indices. The results show a decreasing trend of drought in North China after 1998.

© 2022 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: XianYan Chen, chenxy@cma.gov.cn

Abstract

Under the new background of climate change, it is very important to identify the characteristics of drought in North China. Based on the daily meteorological drought comprehensive index from 494 national meteorological stations in North China during 1961–2019, the drought processes and their intensity are identified by applying the “extreme” intensity–duration (EID) theory. Then, the stage variation characteristics of the drought trend, the average drought intensity, and the drought frequency are analyzed. The results show that among the five drought intensity indices the process maximum intensity demonstrates the greatest correlation coefficient with the disaster rate of drought in North China. Therefore, the process maximum intensity of drought is selected as the annual drought intensity to analyze the drought characteristics in North China. According to the climate warming trends, the study period is divided into three stages, that is, 1951–84 (stage I), 1985–97 (stage II), and 1998–2019 (stage III). The comprehensive results show that the drought intensity in North China has significant stage characteristics. In stage I, the drought shows an increasing trend in most parts of North China, but its average intensity is relatively weaker, with a lower severe drought frequency. The drought also shows an increasing trend in most parts in stage II, with a more significant increase rate than that in stage I, and the average drought intensity is the strongest and the severe drought frequency is the highest. In stage III, the drought shows a decreasing trend in some areas, and the average intensity is the weakest, with a lower severe drought frequency.

Significance Statement

In this paper, we develop a drought intensity formula, the maximum intensity of drought, based on the “extreme” intensity–duration theory. The maximum intensity of drought was then calculated and selected as an annual drought intensity to analyze the drought characteristics in North China. We found that the annual drought intensity better captured the extremity and the patterns of drought process than that obtained with single indices and comprehensive indices. The results show a decreasing trend of drought in North China after 1998.

© 2022 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: XianYan Chen, chenxy@cma.gov.cn
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  • An, L. J., and Coauthors, 2014: Study on characteristics of regional drought events over North China during the past 50 years. Meteor. Mon., 40, 10971105.

    • Search Google Scholar
    • Export Citation
  • Beguería, S., S. M. Vicente‐Serrano, F. Reig, and B. Latorre, 2014: Standardized precipitation evapotranspiration index (SPEI) revisited: Parameter fitting, evapotranspiration models, tools, datasets and drought monitoring. Int. J. Climatol., 34, 30013023, https://doi.org/10.1002/joc.3887.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cai, Q., Y. Liu, Y. Lei, G. Bao, and B. Sun, 2014: Reconstruction of the March-August PDSI since 1703 AD based on tree rings of Chinese pine (Pinus tabulaeformis Carr.) in the Lingkong Mountain, southeast Chinese loess Plateau. Climate Past, 10, 509521, https://doi.org/10.5194/cp-10-509-2014.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chen, Z. Q., W. Hou, D. Zuo, and J. Hu, 2016: Research on drought characteristics in China based on the revised copula function. J. Arid Meteor., 34, 213222.

    • Search Google Scholar
    • Export Citation
  • China Meteorological Administration, 2019: China Climate Bulletin 2018. CMA, 56 pp., http://www.cma.gov.cn/root7/auto13139/201903/t20190319_517664.html.

    • Search Google Scholar
    • Export Citation
  • China National Standardization Administration, 2017: Classification of meteorological drought. National Climate and Climate Change Standardization Technical Committee Rep. GB/T20481-2017, https://www.chinesestandard.net/PDF/English.aspx/GBT20481-2017.

    • Search Google Scholar
    • Export Citation
  • Fu, C. B., and Z. G. Ma, 2008: Global change and regional aridification. Chin. J. Atmos. Sci., 32, 752760, https://doi.org/10.3878/j.issn.1006-9895.2008.04.05.

    • Search Google Scholar
    • Export Citation
  • Guo, A. H., and Coauthors, 2020: Analysis of maize water deficit and drought intensity under different precipitation guarantee rates in northeastern China. Agri. Res. Arid Areas, 38, 266273.

    • Search Google Scholar
    • Export Citation
  • Hao, L. S., and Y. H. Ding, 2012: Progress of precipitation research in North China. Prog. Geogr., 31, 593601, https://doi.org/10.11820/dlkxjz.2012.05.007.

    • Search Google Scholar
    • Export Citation
  • Hu, Q., B. Dong, X. Pan, X. Wang, P. Wei, H. Zhao, and X. Zhang, 2017: Spatiotemporal variation and causes analysis of dry-wet climate at different time scales in North China Plain. Chin. J. Agrometeor., 38, 267277, https://doi.org/10.3969/j.issn.1000-6362.2017.05.001.

    • Search Google Scholar
    • Export Citation
  • Huang, J., Y. Xue, S. L. Sun, and J. Zhang, 2015: Spatial and temporal variability of drought during 1960–2012 in Inner Mongolia, north China. Quat. Int., 355, 134144, https://doi.org/10.1016/j.quaint.2014.10.036.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ju, J. H., J. M. Lv, and J. Z. Ren, 2006: The effect of interdecadal variations of Arctic Oscillation on aridization in North China. Plateau Meteor., 25, 7481.

    • Search Google Scholar
    • Export Citation
  • Li, N., Z.-G. Huo, J.-X. Qian, J.-J. Xiao, and X.-Y. Zhou, 2019: Spatiotemporal distribution of drought in Shanxi Province based on modified relative moisture index. Chin. J. Ecol., 38, 22492257, https://doi.org/10.13292/j.1000-4890.201907.037.

    • Search Google Scholar
    • Export Citation
  • Li, Q. L., G. Fan, D. Zhou, Z. Jiang, and J. Yu, 2016: On modification of meteorological drought composite index in Southwest China. J. Southwest China Norm. Univ., 41, 138146, https://doi.org/10.13718/j.cnki.xsxb.2016.01.024.

    • Search Google Scholar
    • Export Citation
  • Li, W. G., M. T. Hou, H. L. Chen, and X. Chen, 2012: Study on drought trend in south China based on standardized precipitation evapotranspiration index. J. Nat. Disasters, 21, 8490.

    • Search Google Scholar
    • Export Citation
  • Li, Y. P., J. S. Wang, and Y. H. Li, 2015: Characteristics of a regional meteorological drought event in southwestern China during 2009-2010. J. Arid Meteor., 4, 537545, https://doi.org/CNKI:SUN:GSQX.0.2015-04-001.

    • Search Google Scholar
    • Export Citation
  • Liao, Y. M., and C. J. Zhang, 2017: Spatial temporal distribution characteristics and disaster change of drought in China based on meteorological drought composite index. Meteor. Mon., 43, 14021409.

    • Search Google Scholar
    • Export Citation
  • Liu, W., S. An, G. Liu, and G. Anhong, 2004: The farther modification of Palmer drought severity model. J. Appl. Meteor. Sci., 15, 207216.

    • Search Google Scholar
    • Export Citation
  • Liu, X., Y. Luo, T. Yang, K. Liang, M. Zhang, and C. Liu, 2015: Investigation of the probability of concurrent drought events between the water source and destination regions of China’s water diversion project. Geophys. Res. Lett., 42, 84248431, https://doi.org/10.1002/2015GL065904.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lu, E., and Coauthors, 2015: Determining starting time and duration of extreme precipitation events based on intensity. Climate Res., 63, 3141, https://doi.org/10.3354/cr01280.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lu, G. H., G.-X. Yan, Z.-Y. Wu, and Y.-X. Kang, 2010: Regional drought analysis approach based on copula function. Adv. Water Sci., 21, 188193.

    • Search Google Scholar
    • Export Citation
  • Ma, Z. G., and X. B. Ren, 2007: Drying trend over China from 1951 to 2006. Adv. Climate Change Res., 3, 195201.

  • Ma, Z. G., C. Fu, Q. Yang, Z. Zheng, M. Lv, M. Li, Y. Duan, and L. Chen, 2018: Drying trend in northern China and its shift during 1951–2016. Chin. J. Atmos. Sci., 42, 951961.

    • Search Google Scholar
    • Export Citation
  • Ren, F., D. L. Cui, and Z. Q. Gong, 2012: An objective identification technique for regional extreme events. J. Climate, 25, 70157027, https://doi.org/10.1175/JCLI-D-11-00489.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sang, Y. F., V. P. Singh, and Z. Hu, 2018: Entropy-aided evaluation of meteorological droughts over China. J. Geophys. Res. Atmos., 123, 740749, https://doi.org/10.1002/2017JD026956.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Saravi, M. M., A. A. Safdari, and A. Malekian, 2009: Intensity-duration-frequency and spatial analysis of droughts using the standardized precipitation index. Hydrol. Earth Syst. Sci. Discuss., 6, 13471383, https://doi.org/10.5194/hessd-6-1347-2009.

    • Search Google Scholar
    • Export Citation
  • Sheffield, J., K. M. Andreadis, E. F. Wood, and D. P. Lettenmaier, 2009: Global and continental drought in the second half of the twentieth century: Severity–area–duration analysis and temporal variability of large-scale events. J. Climate, 22, 19621981, https://doi.org/10.1175/2008JCLI2722.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Shiau, J. T., 2006: Fitting drought and severity with two-dimensional copulas. Water Resour. Manage., 20, 795815, https://doi.org/10.1007/s11269-005-9008-9.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wang, C. L., J. Guo, L.-F. Xue, and L.-J. Ding, 2011: An improved comprehensive meteorological drought index CI_new and its applicability analysis. Chin. J. Agrometeor., 32, 621626, https://doi.org/10.3969/j.issn.1000-6362.2011.04.023.

    • Search Google Scholar
    • Export Citation
  • Wang, S. P., C. J. Zhang, Y. H. Li, J. Feng, and J. Wang, 2014: Analysis of multi-timescale drought variation based on standardized precipitation index in China during 1960–2011. J. Desert Res., 34, 827834.

    • Search Google Scholar
    • Export Citation
  • Wang, W., Z. Xu, X. Cai, and J. Gao, 2016: Aridity characteristic in middle and lower reaches of Yangtze River area based on Palmer drought severity index analysis. Plateau Meteor., 35, 693707, https://doi.org/10.7522/j.issn.1000-0534.2015.00011.

    • Search Google Scholar
    • Export Citation
  • Wang, Y. M., Q. Zhang, and X. K. Zou, 2007: Research progress of drought indicators and introduction of national drought monitoring services. Proc. Climatol. Soc. China, 8, 238245.

    • Search Google Scholar
    • Export Citation
  • Wei, F. Y., 1999: Statistical Diagnosis and Prediction Technology of Modern Climate. China Meteorological Press, 276 pp.

  • Xu, L., P. Abbaszadeh, H. Moradkhani, N. Chen, and X. Zhang, 2020: Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index. Remote Sens. Environ., 250, 112028, https://doi.org/10.1016/j.rse.2020.112028.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xu, Y., G. L. Tang, and Q. Zhang, 2017: Analysis of the variation of the air temperature over China during the global warming hiatus period. Acta Meteor. Sin., 13, 569577.

    • Search Google Scholar
    • Export Citation
  • Yan, B.-W., S.-L. Guo, Y. Xiao, and B. Fang, 2007: Analysis on drought characteristics based on bivariate joint distribution. Arid Zone Res., 24, 537542.

    • Search Google Scholar
    • Export Citation
  • Yang, G. Q., J. Z. Wang, and M. M. Sun, 2019: Spatial and temporal characteristics of drought in Cangzhou of Hebei Province based on standardized precipitation index. J. Arid Meteor., 37, 218225.

    • Search Google Scholar
    • Export Citation
  • Yao, Y. B., and Coauthors, 2015: Temporal-spatial abnormity of drought for climate warning in Southwest China. Resour. Sci., 37, 17741784.

    • Search Google Scholar
    • Export Citation
  • Yu, R., and P. M. Zhai, 2020: Changes in compound drought and hot extreme events in summer over populated eastern China. Wea. Climate Extremes, 30, 100295, https://doi.org/10.1016/j.wace.2020.100295.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhai, J., B. Su, V. Krysanova, T. Vetter, C. Gao, and T. Jiang, 2010: Spatial variation and trends in PDSI and SPI indices and their relation to streamflow in 10 large regions of China. J. Climate, 23, 649663, https://doi.org/10.1175/2009JCLI2968.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhang, H. L., Q. Zhang, Q. Liu, and P. Yan, 2016: Analysis on variation characteristics and differences of the climate drying degree between South and North of China. Plateau Meteor., 35, 13391351, https://doi.org/10.7522/j.issn.1000-0534.2015.00099.

    • Search Google Scholar
    • Export Citation
  • Zhang, Q., and Coauthors, 2006: GB/T 20481-2006, Grades of Meteorological Drought. China Standards Press, 22 pp.

  • Zhang, Q. Y., 1999: The variations of the precipitation and water resources in North China since 1880. Plateau Meteor., 18, 486495.

  • Zhang, Y. J., C. Y. Wang, and J. Q. Zhang, 2015: Analysis of the spatial and temporal characteristics of drought in the North China plain based on standardized precipitation evaporation index. Acta Ecol. Sin., 35, 70977107, https://doi.org/10.5846/stxb201311272825.

    • Search Google Scholar
    • Export Citation
  • Zhao, H. Y., G. Gao, P. Zhang, and X. Yan, 2011a: The modification of meteorological drought composite index and its application in Southwest China. J. Appl. Meteor. Sci., 22, 698705.

    • Search Google Scholar
    • Export Citation
  • Zhao, H. Y., G. Gao, X. Yan, Q. Zhang, M. Hou, Y. Zhu, and Z. Tian, 2011b: Risk assessment of agricultural drought using the CERES-Wheat model: A case study of Henan Plain, China. Climate Res., 50, 247256, https://doi.org/10.3354/cr01060.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhao, H. Y., G. Gao, W. An, X. Zou, H. Li, and M. Hou, 2017: Timescale differences between SC-PDSI and SPEI for drought monitoring in China. Phys. Chem. Earth, 102, 4858, https://doi.org/10.1016/j.pce.2015.10.022.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhao, H. Y., and Coauthors, 2021: Temporal and spatial characteristics of drought in China under climate change. Chin. J. Agrometeor., 42, 6979.

    • Search Google Scholar
    • Export Citation
  • Zhou, D., and Coauthors, 2014: SPEI-based intensity characteristics and cause analysis of drought in north China during recent 50 years. J. Nat. Disasters, 23, 193202.

    • Search Google Scholar
    • Export Citation
  • Zhou, K., and Y. Wang, 2020: Temporal and spatial distribution of multi-scale drought in North China. IOP Conf. Ser.: Earth and Environ. Sci., 428, 012057, https://doi.org/10.1088/1755-1315/428/1/012057.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zou, X. K., and Q. Zhang, 2008: Preliminary studies on variations in droughts over China during past 50 years. J. Appl. Meteor. Sci., 19, 679687.

    • Search Google Scholar
    • Export Citation
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