• Ahmed, M., M. Sultan, J. Wahr, E. Yan, A. Milewski, W. Sauck, R. Becker, and B. Welton, 2011: Integration of GRACE (Gravity Recovery and Climate Experiment) data with traditional data sets for a better understanding of the time-dependent water partitioning in African watersheds. Geology, 39, 479482, https://doi.org/10.1130/G31812.1.

    • Search Google Scholar
    • Export Citation
  • Angelidis, P., F. Maris, N. Kotsovinos, and V. Hrissanthou, 2012: Computation of drought index SPI with alternative distribution functions. Water Resour. Manage., 26, 24532473, https://doi.org/10.1007/s11269-012-0026-0.

    • Search Google Scholar
    • Export Citation
  • Apurv, T., M. Sivapalan, and X. Cai, 2017: Understanding the role of climate characteristics in drought propagation. Water Resour. Res., 53, 93049329, https://doi.org/10.1002/2017WR021445.

    • Search Google Scholar
    • Export Citation
  • Ari, G., and Coauthors, 2021: Impact of global warming on meteorological drought: A case study of the Songliao Plain, China. Theor. Appl. Climatol., 146, 13151334, https://doi.org/10.1007/s00704-021-03775-x.

    • Search Google Scholar
    • Export Citation
  • Ayantobo, O. O., Y. Li, and S. Song, 2019: Multivariate drought frequency analysis using four-variate symmetric and asymmetric Archimedean copula functions. Water Resour. Manage., 33, 103127, https://doi.org/10.1007/s11269-018-2090-6.

    • Search Google Scholar
    • Export Citation
  • Bae, H., H. Ji, Y.-J. Lim, Y. Ryu, M.-H. Kim, and B.-J. Kim, 2019: Characteristics of drought propagation in South Korea: Relationship between meteorological, agricultural, and hydrological droughts. Nat. Hazards, 99 (1), 116, https://doi.org/10.1007/s11069-019-03676-3.

    • Search Google Scholar
    • Export Citation
  • Barker, L. J., J. Hannaford, A. Chiverton, and C. Svensson, 2016: From meteorological to hydrological drought using standardised indicators. Hydrol. Earth Syst. Sci., 20, 24832505, https://doi.org/10.5194/hess-20-2483-2016.

    • Search Google Scholar
    • Export Citation
  • Bhardwaj, K., D. Shah, S. Aadhar, and V. Mishra, 2020: Propagation of meteorological to hydrological droughts in India. J. Geophys. Res. Atmos., 125, e2020JD033455, https://doi.org/10.1029/2020JD033455.

    • Search Google Scholar
    • Export Citation
  • Boer, G., G. Flato, and D. Ramsden, 2000: A transient climate change simulation with greenhouse gas and aerosol forcing: Projected climate to the twenty-first century. Climate Dyn., 16, 427450, https://doi.org/10.1007/s003820050338.

    • Search Google Scholar
    • Export Citation
  • Bothe, O., K. Fraedrich, and X. H. Zhu, 2012: Precipitation climate of Central Asia and the large-scale atmospheric circulation. Theor. Appl. Climatol., 108, 345354, https://doi.org/10.1007/s00704-011-0537-2.

    • Search Google Scholar
    • Export Citation
  • Brillinger, D. R., 2001: Time Series: Data Analysis and Theory. Society for Industrial and Applied Mathematics, 540 pp.

  • Chen, N., and Coauthors, 2020: Drought propagation in Northern China Plain: A comparative analysis of GLDAS and MERRA-2 datasets. J. Hydrol., 588, 125026, https://doi.org/10.1016/j.jhydrol.2020.125026.

    • Search Google Scholar
    • Export Citation
  • Cruz, M. G., E. A. Hernandez, and V. Uddameri, 2021: Vulnerability assessment of agricultural production systems to drought stresses using robustness measures. Sci. Rep., 11, 21648, https://doi.org/10.1038/s41598-021-98829-5.

    • Search Google Scholar
    • Export Citation
  • Dash, S. S., B. Sahoo, and N. S. Raghuwanshi, 2019: A SWAT-copula based approach for monitoring and assessment of drought propagation in an irrigation command. Ecol. Eng., 127, 417430, https://doi.org/10.1016/j.ecoleng.2018.11.021.

    • Search Google Scholar
    • Export Citation
  • Denić-Jukić, V., A. Lozić, and D. Jukić, 2020: An application of correlation and spectral analysis in hydrological study of neighboring karst springs. Water, 12, 3570, https://doi.org/10.3390/w12123570.

    • Search Google Scholar
    • Export Citation
  • Dickey, D. A., and W. A. Fuller, 1981: Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49, 10571072, https://doi.org/10.2307/1912517.

    • Search Google Scholar
    • Export Citation
  • Ding, Y., J. Xu, X. Wang, X. Peng, and H. Cai, 2020: Spatial and temporal effects of drought on Chinese vegetation under different coverage levels. Sci. Total Environ., 716, 137166, https://doi.org/10.1016/j.scitotenv.2020.137166.

    • Search Google Scholar
    • Export Citation
  • Ding, Y., X. Gong, Z. Xing, H. Cai, Z. Zhou, D. Zhang, P. Sun, and H. Shi, 2021a: Attribution of meteorological, hydrological and agricultural drought propagation in different climatic regions of China. Agric. Water Manage., 255, 106996, https://doi.org/10.1016/j.agwat.2021.106996.

    • Search Google Scholar
    • Export Citation
  • Ding, Y., J. Xu, X. Wang, H. Cai, Z. Zhou, Y. Sun, and H. Shi, 2021b: Propagation of meteorological to hydrological drought for different climate regions in China. J. Environ. Manage., 283, 111980, https://doi.org/10.1016/j.jenvman.2021.111980.

    • Search Google Scholar
    • Export Citation
  • Fakharizadehshirazi, E., A. A. Sabziparvar, and S. Sodoudi, 2019: Long-term spatiotemporal variations in satellite-based soil moisture and vegetation indices over Iran. Environ. Earth Sci., 78, 342, https://doi.org/10.1007/s12665-019-8347-4.

    • Search Google Scholar
    • Export Citation
  • Fang, W., S. Huang, Q. Huang, G. Huang, H. Wang, G. Leng, and L. Wang, 2020: Identifying drought propagation by simultaneously considering linear and nonlinear dependence in the Wei River basin of the Loess Plateau, China. J. Hydrol., 591, 125287, https://doi.org/10.1016/j.jhydrol.2020.125287.

    • Search Google Scholar
    • Export Citation
  • Feng, K., X. Su, G. Zhang, T. Javed, and Z. Zhang, 2020: Development of a new integrated hydrological drought index (SRGI) and its application in the Heihe River basin, China. Theor. Appl. Climatol., 141, 4359, https://doi.org/10.1007/s00704-020-03184-6.

    • Search Google Scholar
    • Export Citation
  • Forootan, E., and Coauthors, 2019: Understanding the global hydrological droughts of 2003-2016 and their relationships with teleconnections. Sci. Total Environ., 650, 25872604, https://doi.org/10.1016/j.scitotenv.2018.09.231.

    • Search Google Scholar
    • Export Citation
  • Gidey, E., O. Dikinya, R. Sebego, E. Segosebe, and A. Zenebe, 2018: Modeling the spatio-temporal meteorological drought characteristics using the standardized precipitation index (SPI) in Raya and its environs, Northern Ethiopia. Earth Syst. Environ., 2, 281292, https://doi.org/10.1007/s41748-018-0057-7.

    • Search Google Scholar
    • Export Citation
  • Gu, L., J. Chen, J. Yin, C. Y. Xu, and H. Chen, 2020: Drought hazard transferability from meteorological to hydrological propagation. J. Hydrol., 585, 124761, https://doi.org/10.1016/j.jhydrol.2020.124761.

    • Search Google Scholar
    • Export Citation
  • Guo, Y., S. Huang, Q. Huang, G. Leng, W. Fang, L. Wang, and H. Wang, 2020: Propagation thresholds of meteorological drought for triggering hydrological drought at various levels. Sci. Total Environ., 712, 136502, https://doi.org/10.1016/j.scitotenv.2020.136502.

    • Search Google Scholar
    • Export Citation
  • Hansson, D., C. Eriksson, A. Omstedt, and D. Chen, 2011: Reconstruction of river runoff to the Baltic Sea, AD 1500-1995. Int. J. Climatol., 31, 696703, https://doi.org/10.1002/joc.2097.

    • Search Google Scholar
    • Export Citation
  • Hao, X., Y. Ruihong, Z. Zhuangzhuang, Q. Zhen, L. Xixi, L. Tingxi, and G. Ruizhong, 2021: Greenhouse gas emissions from the water–air interface of a grassland river: A case study of the Xilin River. Sci. Rep., 11, 2659, https://doi.org/10.1038/s41598-021-81658-x.

    • Search Google Scholar
    • Export Citation
  • Hao, Z., and V. P. Singh, 2015: Drought characterization from a multivariate perspective: A review. J. Hydrol., 527, 668678, https://doi.org/10.1016/j.jhydrol.2015.05.031.

    • Search Google Scholar
    • Export Citation
  • Haslinger, K., D. Koffler, W. Schoner, and G. Laaha, 2014: Exploring the link between meteorological drought and streamflow: Effects of climate–catchment interaction. Water Resour. Res., 50, 24682487, https://doi.org/10.1002/2013WR015051.

    • Search Google Scholar
    • Export Citation
  • Hosseini-Moghari, S.-M., S. Araghinejad, K. Ebrahimi, Q. Tang, and A. AghaKouchak, 2020: Using GRACE satellite observations for separating meteorological variability from anthropogenic impacts on water availability. Sci. Rep., 10, 15098, https://doi.org/10.1038/s41598-020-71837-7.

    • Search Google Scholar
    • Export Citation
  • Huang, S., P. Li, Q. Huang, G. Leng, B. Hou, and L. Ma, 2017: The propagation from meteorological to hydrological drought and its potential influence factors. J. Hydrol., 547, 184195, https://doi.org/10.1016/j.jhydrol.2017.01.041.

    • Search Google Scholar
    • Export Citation
  • Jasechko, S., and D. Perrone, 2020: California’s Central Valley groundwater wells run dry during recent drought. Earth’s Future, 8, e2019EF001339, https://doi.org/10.1029/2019EF001339.

    • Search Google Scholar
    • Export Citation
  • Jukić, D., V. Denić-Jukić, and A. Lozić, 2021: An alternative method for groundwater recharge estimation in karst. J. Hydrol., 600, 126671, https://doi.org/10.1016/j.jhydrol.2021.126671.

    • Search Google Scholar
    • Export Citation
  • Kawada, K., Wuyunna, and T. Nakamura, 2011: Land degradation of abandoned croplands in the Xilingol steppe region, Inner Mongolia, China. Grassl. Sci., 57, 5864, https://doi.org/10.1111/j.1744-697X.2010.00209.x.

    • Search Google Scholar
    • Export Citation
  • Kazemzadeh, M., and A. Malekian, 2016: Spatial characteristics and temporal trends of meteorological and hydrological droughts in northwestern Iran. Nat. Hazards, 80, 191210, https://doi.org/10.1007/s11069-015-1964-7.

    • Search Google Scholar
    • Export Citation
  • Kebede, A., M. S. Kang, and E. Bekele, 2019: Advances in mechanisms of drought tolerance in crops, with emphasis on barley. Adv. Agron., 156, 265314, https://doi.org/10.1016/bs.agron.2019.01.008.

    • Search Google Scholar
    • Export Citation
  • Kendall, M., 1975: Rank Correlation Methods. Charles Griffin, 202 pp.

  • Kendall, M., and J. D. Gibbons, 1990: Rank Correlation Methods. Oxford University Press, 260 pp.

  • Kolachian, R., and B. Saghafian, 2021: Hydrological drought class early warning using support vector machines and rough sets. Environ. Earth Sci., 80, 390, https://doi.org/10.1007/s12665-021-09536-3.

    • Search Google Scholar
    • Export Citation
  • Kwiatkowski, D., P. C. B. Phillips, P. Schmidt, and Y. Shin, 1992: Testing the null hypothesis of stationary against the alternative of a unit root. J. Econom., 54, 159178, https://doi.org/10.1016/0304-4076(92)90104-Y.

    • Search Google Scholar
    • Export Citation
  • Leng, G., Q. Tang, and S. Rayburg, 2015: Climate change impacts on meteorological, agricultural and hydrological droughts in China. Global Planet. Change, 126, 2334, https://doi.org/10.1016/j.gloplacha.2015.01.003.

    • Search Google Scholar
    • Export Citation
  • Li, L., J. Chen, X. Han, W. Zhang, and C. Shao, 2020: Overview of Chinese grassland ecosystems. Grassland Ecosystems of China, Ecosystems of China, Vol. 2, Springer, 23–47, https://doi.org/10.1007/978-981-15-3421-8_2.

  • Li, Q., P. He, Y. He, X. Han, T. Zeng, G. Lu, and H. Wang, 2020: Investigation to the relation between meteorological drought and hydrological drought in the upper Shaying River basin using wavelet analysis. Atmos. Res., 234, 104743, https://doi.org/10.1016/j.atmosres.2019.104743.

    • Search Google Scholar
    • Export Citation
  • Li, R., N. Chen, X. Zhang, L. Zeng, X. Wang, S. Tang, D. Li, and D. Niyogi, 2020: Quantitative analysis of agricultural drought propagation process in the Yangtze River basin by using cross wavelet analysis and spatial autocorrelation. Agric. For. Meteor., 280, 107809, https://doi.org/10.1016/j.agrformet.2019.107809.

    • Search Google Scholar
    • Export Citation
  • Li, Y., H. Lu, K. Yang, W. Wang, Q. Tang, S. Khem, F. Yang, and Y. Huang, 2021: Meteorological and hydrological droughts in Mekong River basin and surrounding areas under climate change. J. Hydrol. Reg. Stud., 36, 100873, https://doi.org/10.1016/j.ejrh.2021.100873.

    • Search Google Scholar
    • Export Citation
  • Liang, E., X. Shao, Z. Kong, and J. Lin, 2003: The extreme drought in the 1920s and its effect on tree growth deduced from tree ring analysis: A case study in North China. Ann. For. Sci., 60, 145152, https://doi.org/10.1051/forest:2003007.

    • Search Google Scholar
    • Export Citation
  • Liu, N., and Coauthors, 2016: Drought reconstruction in eastern Hulun Buir steppe, China and its linkages to the sea surface temperatures in the Pacific Ocean. J. Asian Earth Sci., 115, 298307, https://doi.org/10.1016/j.jseaes.2015.10.009.

    • Search Google Scholar
    • Export Citation
  • Liu, X., Z. Zhu, M. Yu, and X. Liu, 2021: Drought-induced productivity and economic losses in grasslands from Inner Mongolia vary across vegetation types. Reg. Environ. Change, 21, 59, https://doi.org/10.1007/s10113-021-01789-9.

    • Search Google Scholar
    • Export Citation
  • Long, D., Y. J. Shen, A. Y. Sun, Y. Hong, L. Longuevergne, Y. T. Yang, B. Li, and L. Chen, 2014: Drought and flood monitoring for a large karst plateau in southwest China using extended GRACE data. Remote Sens. Environ., 155, 145160, https://doi.org/10.1016/j.rse.2014.08.006.

    • Search Google Scholar
    • Export Citation
  • Long, D., Y. Pan, J. Zhou, Y. Chen, X. Y. Hou, Y. Hong, B. R. Scanlon, and L. Longuevergne, 2017: Global analysis of spatiotemporal variability in merged total water storage changes using multiple GRACE products and global hydrological models. Remote Sens. Environ., 192, 198216, https://doi.org/10.1016/j.rse.2017.02.011.

    • Search Google Scholar
    • Export Citation
  • Lorenzo-Lacruz, J., S. Vicente-Serrano, J. González-Hidalgo, J. López-Moreno, and N. Cortesi, 2013: Hydrological drought response to meteorological drought in the Iberian Peninsula. Climate Res., 58, 117131, https://doi.org/10.3354/cr01177.

    • Search Google Scholar
    • Export Citation
  • Mann, H. B., 1945: Nonparametric tests against trend. Econometrica, 13, 245259, https://doi.org/10.2307/1907187.

  • McKee, T. B., N. J. Doesken, and J. Kleist, 1993. The relationship of drought frequency and duration to time scales. Eighth Conf. on Applied Climatology, Anaheim, CA, Amer. Meteor. Soc., 179–184.

  • Mishra, A. K., and V. P. Singh, 2010: A review of drought concepts. J. Hydrol., 391, 202216, https://doi.org/10.1016/j.jhydrol.2010.07.012.

    • Search Google Scholar
    • Export Citation
  • Naresh Kumar, M., C. S. Murthy, M. V. R. Sesha Saib, and P. S. Royb, 2009: On the use of standardized precipitation index (SPI) for drought intensity assessment. Meteor. Appl., 16, 381389, https://doi.org/10.1002/met.136.

    • Search Google Scholar
    • Export Citation
  • National Center for Atmospheric Research, 2018: Global GIMMS NDVI3g v1 dataset (1981–2015). National Tibetan Plateau Data Center, accessed 19 April 2021, https://data.tpdc.ac.cn/en/data/9775f2b4-7370-4e5e-a537-3482c9a83d88/.

  • Nicolai-Shaw, N., J. Zscheischler, M. Hirschi, L. Gudmundsson, and S. I. Seneviratne, 2017: A drought event composite analysis using satellite remote-sensing based soil moisture. Remote Sens. Environ., 203, 216225, https://doi.org/10.1016/j.rse.2017.06.014.

    • Search Google Scholar
    • Export Citation
  • Nijssen, B., G. M. O’Donnell, A. F. Hamlet, and D. P. Lettenmaier, 2001: Hydrologic sensitivity of global rivers to climate change. Climatic Change, 50, 143175, https://doi.org/10.1023/A:1010616428763.

    • Search Google Scholar
    • Export Citation
  • Niu, J., J. Chen, and L. Sun, 2015: Exploration of drought evolution using numerical simulations over the Xijiang (West River) basin in South China. J. Hydrol., 526, 6877, https://doi.org/10.1016/j.jhydrol.2014.11.029.

    • Search Google Scholar
    • Export Citation
  • Peña-Gallardo, M., and Coauthors, 2019: Complex influences of meteorological drought time-scales on hydrological droughts in natural basins of the contiguous Unites States. J. Hydrol., 568, 611625, https://doi.org/10.1016/j.jhydrol.2018.11.026.

    • Search Google Scholar
    • Export Citation
  • Rajbanshi, J., and S. Das, 2021: The variability and teleconnections of meteorological drought in the Indian summer monsoon season: Implications for staple crop production. J. Hydrol., 603, 126845, https://doi.org/10.1016/j.jhydrol.2021.126845.

    • Search Google Scholar
    • Export Citation
  • Rivard, C., and H. Vigneault, 2009: Trend detection in hydrological series: When series are negatively correlated. Hydrol. Processes, 23, 27372743, https://doi.org/10.1002/hyp.7370.

    • Search Google Scholar
    • Export Citation
  • Rivera, J. A., O. C. Penalba, R. Villalba, and D. C. Araneo, 2017: Spatio-temporal patterns of the 2010–2015 extreme hydrological drought across the Central Andes, Argentina. Water, 9, 652, https://doi.org/10.3390/w9090652.

    • Search Google Scholar
    • Export Citation
  • Salimi, H., E. Asadi, and S. Darbandi, 2021: Meteorological and hydrological drought monitoring using several drought indices. Appl. Water Sci., 11, 11, https://doi.org/10.1007/s13201-020-01345-6.

    • Search Google Scholar
    • Export Citation
  • Saruul, K., L. Jiangwen, N. Jianming, Z. Qing, Z. Xuefeng, H. Guodong, Z. Mengli, and B. Haifeng, 2019: Typical steppe ecosystems maintain high stability by decreasing the connections among recovery, resistance, and variability under high grazing pressure. Sci. Total Environ., 659, 11461157, https://doi.org/10.1016/j.scitotenv.2018.12.447.

    • Search Google Scholar
    • Export Citation
  • Sen, P. K., 1968: Estimates of the regression coefficient based on Kendall’s tau. J. Amer. Stat. Assoc., 63, 13791389, https://doi.org/10.1080/01621459.1968.10480934.

    • Search Google Scholar
    • Export Citation
  • Sheffield, J., and E. F. Wood, 2006: Global trends and variability in soil moisture and drought characteristics, 1950–2000, from observation-driven simulations of the terrestrial hydrologic cycle. J. Climate, 21, 432458, https://doi.org/10.1175/2007JCLI1822.1.

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

    • Search Google Scholar
    • Export Citation
  • Shiyomi, M., and Coauthors, 2011: A grassland ecosystem model of the Xilingol steppe, Inner Mongolia, China. Ecol. Modell., 222, 20732083, https://doi.org/10.1016/j.ecolmodel.2011.03.028.

    • Search Google Scholar
    • Export Citation
  • Song, L., and Coauthors, 2019: Divergent vegetation responses to extreme spring and summer droughts in southwestern China. Agric. For. Meteor., 279, 107703, https://doi.org/10.1016/j.agrformet.2019.107703.

    • Search Google Scholar
    • Export Citation
  • Stephens, M. A., 1970: Use of the Kolmogorov–Smirnov, Cramer–Von Mises and related statistics without extensive tables. J. Roy. Stat. Soc., 32, 115122, https://doi.org/10.1111/j.2517-6161.1970.tb00821.x.

    • Search Google Scholar
    • Export Citation
  • Suttie, J. M., S. G. Reynolds, and C. Batello, Eds, 2005: Grasslands of the world. Food and Agriculture Organization of the United Nations, Plant Production and Protection Series, Vol. 34, Food and Agriculture Organization, 221–263.

  • Syed, T. H., J. S. Famiglietti, M. Rodell, J. Chen, and C. R. Wilson, 2008: Analysis of terrestrial water storage changes from GRACE and GLDAS. Water Resour. Res., 44, W02433, https://doi.org/10.1029/2006WR005779.

    • Search Google Scholar
    • Export Citation
  • Tan, M. L., V. P. Chua, K. C. Tan, and K. Brindha, 2018: Evaluation of TMPA 3B43 and NCEP-CFSR precipitation products in drought monitoring over Singapore. Int. J. Remote Sens., 39, 20892104, https://doi.org/10.1080/01431161.2018.1425566.

    • Search Google Scholar
    • Export Citation
  • Tao, H., H. Borth, K. Fraedrich, B. Su, and X. Zhu, 2014: Drought and wetness variability in the Tarim River basin and connection to large-scale atmospheric circulation. Int. J. Climatol., 34, 26782684, https://doi.org/10.1002/joc.3867.

    • Search Google Scholar
    • Export Citation
  • Tayfur, G., 2021: Discrepancy precipitation index for monitoring meteorological drought. J. Hydrol., 597, 126174, https://doi.org/10.1016/j.jhydrol.2021.126174.

    • Search Google Scholar
    • Export Citation
  • Tong, C., J. Wu, S. Yong, J. Yang, and W. Yong, 2004: A landscape-scale assessment of steppe degradation in the Xilin River basin, Inner Mongolia, China. J. Arid Environ., 59, 133149, https://doi.org/10.1016/j.jaridenv.2004.01.004.

    • Search Google Scholar
    • Export Citation
  • Tong, S., Y. Bao, R. Te, Q. Ma, S. Ha, A. Lusi, and H. Bagan, 2017: Analysis of drought characteristics in Xilingol Grassland of northern China based on SPEI and its impact on vegetation. Math. Probl. Eng., 2017, 5209173, https://doi.org/10.1155/2017/5209173.

    • Search Google Scholar
    • Export Citation
  • Van Loon, A. F., 2015: Hydrological drought explained. WIREs Water, 2, 359392, https://doi.org/10.1002/wat2.1085.

  • Veettil, A. V., and A. Mishra, 2020: Multiscale hydrological drought analysis: Role of climate, catchment and morphological variables and associated thresholds. J. Hydrol., 582, 124533, https://doi.org/10.1016/j.jhydrol.2019.124533.

    • Search Google Scholar
    • Export Citation
  • Vicente-Serrano, S. M., J. I. Lopez-Moreno, S. Begueria, J. Lorenzo-Lacruz, C. Azorin-Molina, and E. Moran-Tejeda, 2011: Accurate computation of a streamflow drought index. J. Hydrol. Eng., 17, 318332, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000433.

    • Search Google Scholar
    • Export Citation
  • Villarini, G., J. A. Smith, and F. Napolitano, 2010: Nonstationary modeling of a long record of rainfall and temperature over Rome. Adv. Water Resour., 33, 12561267, https://doi.org/10.1016/j.advwatres.2010.03.013.

    • Search Google Scholar
    • Export Citation
  • Wang, H., and Z. Zhu, 2019: Drought and moist changes and their relations with temperature in Xilin River basin from 1981 to 2016 (in Chinese with English abstract). Res. Soil Water Conserv., 26, 178183.

    • Search Google Scholar
    • Export Citation
  • Wang, Y., J. Li, P. Feng, and F. Chen, 2015: Effects of large-scale climate patterns and human activities on hydrological drought: A case study in the Luanhe River basin, China. Nat. Hazards, 76, 16871710, https://doi.org/10.1007/s11069-014-1564-y.

    • Search Google Scholar
    • Export Citation
  • Wang, Y., G. Liu, and E. Guo, 2019: Spatial distribution and temporal variation of drought in Inner Mongolia during 1901-2014 using standardized precipitation evapotranspiration index. Sci. Total Environ., 654, 850862, https://doi.org/10.1016/j.scitotenv.2018.10.425.

    • Search Google Scholar
    • Export Citation
  • Wang, Y., R. Gao, X. Wang, L. Duan, T. Liu, and D. Li, 2021: Long-term spatiotemporal variability in occurrences of wet and dry days across South Mongolian Plateau. Atmos. Res., 8, 105795, https://doi.org/10.1016/j.atmosres.2021.105795.

    • Search Google Scholar
    • Export Citation
  • Wilhite, D. A., and M. H. Glantz, 1985: Understanding the drought phenomenon: The role of definitions. Water Int., 10, 111120, https://doi.org/10.1080/02508068508686328.

    • Search Google Scholar
    • Export Citation
  • Wu, J., X. Chen, H. Yao, L. Gao, Y. Chen, and M. Liu, 2017: Non-linear relationship of hydrological drought responding to meteorological drought and impact of a large reservoir. J. Hydrol., 551, 495507, https://doi.org/10.1016/j.jhydrol.2017.06.029.

    • Search Google Scholar
    • Export Citation
  • Wu, J., X. Chen, C. A. Love, H. Yao, X. Chen, and A. AghaKouchak, 2020: Determination of water required to recover from hydrological drought: Perspective from drought propagation and non-standardized indices. J. Hydrol., 590, 125227, https://doi.org/10.1016/j.jhydrol.2020.125227.

    • Search Google Scholar
    • Export Citation
  • Wu, L., X. Zhang, F. Hao, Y. Wu, C. Li, and Y. Xu, 2020: Evaluating the contributions of climate change and human activities to runoff in typical semi-arid area, China. J. Hydrol., 590, 125555, https://doi.org/10.1016/j.jhydrol.2020.125555.

    • Search Google Scholar
    • Export Citation
  • Xiao, X., J. Shu, W. Yifeng, D. S. Ojima, and C. D. Bonham, 1996: Temporal variation in aboveground biomass of Leymus chinense steppe from species to community levels in the Xilin River basin, Inner Mongolia, China. Plant Ecol., 123 (1), 112, https://doi.org/10.1007/BF00044884.

    • Search Google Scholar
    • Export Citation
  • Xiong, L., C. Jiang, C.-Y. Xu, K.-x. Yu, and S. Guo, 2015: A framework of change-point detection for multivariate hydrological series. Water Resour. Res., 51, 81988217, https://doi.org/10.1002/2015WR017677.

    • Search Google Scholar
    • Export Citation
  • Xu, H. J., X. P. Wang, C. Y. Zhao, and X. M. Yang, 2018: Diverse responses of vegetation growth to meteorological drought across climate zones and land biomes in northern China from 1981 to 2014. Agric. For. Meteor., 262, 113, https://doi.org/10.1016/j.agrformet.2018.06.027.

    • Search Google Scholar
    • Export Citation
  • Xu, H. J., X. P. Wang, C. Y. Zhao, and X. X. Zhang, 2019: Responses of ecosystem water use efficiency to meteorological drought under different biomes and drought magnitudes in northern China. Agric. For. Meteor., 278, 107660, https://doi.org/10.1016/j.agrformet.2019.107660.

    • Search Google Scholar
    • Export Citation
  • Xu, Y., X. Zhang, X. Wang, Z. Hao, V. P. Singh, and F. Hao, 2019: Propagation from meteorological drought to hydrological drought under the impact of human activities: A case study in northern China. J. Hydrol., 579, 124147, https://doi.org/10.1016/j.jhydrol.2019.124147.

    • Search Google Scholar
    • Export Citation
  • Yang, W., D. Long, and P. Bai, 2019: Impacts of future land cover and climate changes on runoff in the mostly afforested river basin in North China. J. Hydrol., 570, 201219, https://doi.org/10.1016/j.jhydrol.2018.12.055.

    • Search Google Scholar
    • Export Citation
  • Yang, Y., T. R. McVicar, R. J. Donohue, Y. Zhang, M. L. Roderick, F. H. S. Chiew, L. Zhang, and J. Zhang, 2017: Lags in hydrologic recovery following an extreme drought: Assessing the roles of climate and catchment characteristics. Water Resour. Res., 53, 48214837, https://doi.org/10.1002/2017WR020683.

    • Search Google Scholar
    • Export Citation
  • Yevjevich, V., 1967: An objective approach to definition and investigation of continental hydrological droughts. Colorado State University, Hydrology Paper 23, 18 pp.

  • Yong, B., and Coauthors, 2013: Spatial-temporal changes of water resources in a typical semiarid basin of North China over the past 50 years and assessment of possible natural and socioeconomic causes. J. Hydrometeor., 14, 10091034, https://doi.org/10.1175/JHM-D-12-0116.1.

    • Search Google Scholar
    • Export Citation
  • Yu, M., X. Liu, and Q. Li, 2020: Responses of meteorological drought-hydrological drought propagation to watershed scales in the upper Huaihe River basin, China. Environ. Sci. Pollut. Res. Int., 27, 172561172570, https://doi.org/10.1007/s11356-019-06413-2.

    • Search Google Scholar
    • Export Citation
  • Yuan, X., M. Zhang, L. Wang, and T. Zhou, 2017: Understanding and seasonal forecasting of hydrological drought in the Anthropocene. Hydrol. Earth Syst. Sci., 21, 54775492, https://doi.org/10.5194/hess-21-5477-2017.

    • Search Google Scholar
    • Export Citation
  • Yue, S., P. Pilon, B. Phinney, and G. Cavadias, 2002: The influence of autocorrelation on the ability to detect trend in hydrological series. Hydrol. Processes, 16, 18071829, https://doi.org/10.1002/hyp.1095.

    • Search Google Scholar
    • Export Citation
  • Yue, S., P. Pilon, and B. Phinney, 2003: Canadian streamflow trend detection: Impacts of serial and cross-correlation. Hydrol. Sci. J., 48, 5163, https://doi.org/10.1623/hysj.48.1.51.43478.

    • Search Google Scholar
    • Export Citation
  • Zhang, A., and Coauthors, 2019: Identification on hydrometeorology mutation characteristics and ecological evolution pattern of the plateau inland river basin-taken Xilin River and Balager River of Inner Mongolia for instance (in Chinese with English abstract). China Environ. Sci., 39, 52545263.

    • Search Google Scholar
    • Export Citation
  • Zhang, L., Z. Zhu, X. Xi, H. Wang, and F. Wang, 2020a: Analysis of drought evolution in the Xilin River basin based on standardized precipitation evapotranspiration index (in Chinese with English abstract). Arid Zone Res., 37, 819829.

    • Search Google Scholar
    • Export Citation
  • Zhang, L., Z. Zhu, H. Wang, and F. Wang, 2020b: Analysis of hydrological drought evolution characteristics and influencing factors in Xilin River basin (in Chinese with English abstract). J. Soil Water Conserv., 34, 178192.

    • Search Google Scholar
    • Export Citation
  • Zhang, Q., C. Y. Xu, and Z. X. Zhang, 2009: Observed change of drought/wetness episodes in the Pearl River River basin, China, using the standardized precipitation index and aridity index. Theor. Appl. Climatol., 98, 8999, https://doi.org/10.1007/s00704-008-0095-4.

    • Search Google Scholar
    • Export Citation
  • Zhang, X., J. Niu, A. Buyantuev, Q. Zhang, J. Dong, S. Kang, and J. Zhang, 2016: Understanding grassland degradation and restoration from the perspective of ecosystem services: A case study of the Xilin River basin in Inner Mongolia, China. Sustainability, 8, 594, https://doi.org/10.3390/su8070594.

    • Search Google Scholar
    • Export Citation
  • Zhang, Y., Z. Hao, S. Feng, X. Zhang, Y. Xu, and F. Hao, 2021: Agricultural drought prediction in China based on drought propagation and large-scale drivers. Agric. Water Manage., 255, 107028, https://doi.org/10.1016/j.agwat.2021.107028.

    • Search Google Scholar
    • Export Citation
  • Zhang, Z., Jin, Q., Chen, X., Xu, C.Y., Jiang, S., 2016: On the linkage between the extreme drought and pluvial patterns in China and the large-scale atmospheric circulation. Adv. Meteor., 2016, 8010638, https://doi.org/10.1155/2016/8010638.

    • Search Google Scholar
    • Export Citation
  • Zhao, S., D. Cong, K. He, H. Yang, and Z. Qin, 2017: Spatial-temporal variation of drought in China from 1982 to 2010 based on a modified temperature vegetation drought index (mTVDI). Sci. Rep., 7, 17473, https://doi.org/10.1038/s41598-017-17810-3.

    • Search Google Scholar
    • Export Citation
  • Zhou, Z., H. Shi, Q. Fu, T. Li, T. Y. Gan, and S. Liu, 2020: Assessing spatiotemporal characteristics of drought and its effects on climate-induced yield of maize in northeast China. J. Hydrol., 588, 125097, https://doi.org/10.1016/j.jhydrol.2020.125097.

    • Search Google Scholar
    • Export Citation
  • Zhou, Z., H. Shi, Q. Fu, Y. Ding, T. Li, Y. Wang, and S. Liu, 2021: Characteristics of propagation from meteorological drought to hydrological drought in the Pearl River basin. J. Geophys. Res. Atmos., 126, e2020JD033959, https://doi.org/10.1029/2020JD033959.

    • Search Google Scholar
    • Export Citation
  • Zhu, L., D. J. Cooper, S. Han, J. Yang, Y. Zhang, Z. Li, H. Zhao, and X. Wang, 2021: Influence of the Atlantic multidecadal oscillation on drought in northern Daxing’an Mountains, northeast China. Catena, 198, 105017, https://doi.org/10.1016/j.catena.2020.105017.

    • Search Google Scholar
    • Export Citation
  • Zou, L., S. Cao, and A. Sanchez-Azofeifa, 2020: Evaluating the utility of various drought indices to monitor meteorological drought in tropical dry forests. Int. J. Biometeor., 64, 701711, https://doi.org/10.1007/s00484-019-01858-z.

    • Search Google Scholar
    • Export Citation
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Dynamic Characteristics and Possible Causes for the Propagation from Meteorological to Hydrological Drought over a Temperate Typical Steppe

Yixuan WangaWater Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot, China
bInner Mongolia Key Laboratory of Protection and Utilization of Water Resources, Collaborative Innovation Center for Integrated Management of Water Resources and Water Environment in the Inner Mongolia Reaches of the Yellow River, Hohhot, China

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Limin DuanaWater Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot, China
bInner Mongolia Key Laboratory of Protection and Utilization of Water Resources, Collaborative Innovation Center for Integrated Management of Water Resources and Water Environment in the Inner Mongolia Reaches of the Yellow River, Hohhot, China

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Xin TongaWater Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot, China
bInner Mongolia Key Laboratory of Protection and Utilization of Water Resources, Collaborative Innovation Center for Integrated Management of Water Resources and Water Environment in the Inner Mongolia Reaches of the Yellow River, Hohhot, China

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Shuyue ShiaWater Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot, China
bInner Mongolia Key Laboratory of Protection and Utilization of Water Resources, Collaborative Innovation Center for Integrated Management of Water Resources and Water Environment in the Inner Mongolia Reaches of the Yellow River, Hohhot, China

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Tingxi LiuaWater Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot, China
bInner Mongolia Key Laboratory of Protection and Utilization of Water Resources, Collaborative Innovation Center for Integrated Management of Water Resources and Water Environment in the Inner Mongolia Reaches of the Yellow River, Hohhot, China

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Long MaaWater Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot, China
bInner Mongolia Key Laboratory of Protection and Utilization of Water Resources, Collaborative Innovation Center for Integrated Management of Water Resources and Water Environment in the Inner Mongolia Reaches of the Yellow River, Hohhot, China

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Abstract

Knowledge gain in the characteristics and mechanisms of drought propagation is indispensable for timely drought early warning and risk reduction over the grassland eco-region. This study focused on the Xilin River basin, which is a typical inland river basin located in the Inner Mongolia temperate steppe, China. The characteristics of meteorological and hydrological drought were assessed by applying the standardized precipitation index and standardized streamflow index. The propagation relationship between meteorological and hydrological droughts was then investigated from both static and dynamic perspectives, and the possible reasons for its temporal dynamics were discussed by considering environmental factors. Our results showed that the Xilin River basin has suffered from more serious meteorological drought than hydrological drought during the past 60 years, with a stationary evolution of meteorological drought but an overall drying trend in hydrological drought. The propagation from meteorological to hydrological droughts exhibited obvious seasonality, characterized by stronger intensity and shorter response time in the wet season. Nonstationary behaviors were identified for the temporal patterns of drought propagation time, especially showing a significant trend in April, May, and August. The dynamic changes in propagation time affected by regional forces were principally ruled by the precipitation variation positively and strongly, and they were moderately controlled by temperature, vegetation cover, and deep-layer soil moisture, with season-dependent effects. The effects of low-frequency atmospheric anomalies on drought propagation will be further investigated in future studies, which are expected to provide a better understanding of the physical mechanism of the large-scale climate forcing on local drought condition.

Significance Statement

A new research approach was proposed to assess the propagation relationship between meteorological and hydrological drought from both static and dynamic perspectives, and the possible reasons for the temporal dynamics were discussed by considering environmental factors. Focusing on an inland river basin over the Inner Mongolia typical steppe, the propagation from meteorological to hydrological droughts showed obvious seasonality. Nonstationary behaviors were identified for the temporal patterns of drought propagation time, which could be explained by the regional hydrometeorological conditions. The advanced understanding of drought propagation provides a scientific base for water resources planning and drought management within a grassland region.

© 2023 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: Tingxi Liu, txliu1966@163.com

Abstract

Knowledge gain in the characteristics and mechanisms of drought propagation is indispensable for timely drought early warning and risk reduction over the grassland eco-region. This study focused on the Xilin River basin, which is a typical inland river basin located in the Inner Mongolia temperate steppe, China. The characteristics of meteorological and hydrological drought were assessed by applying the standardized precipitation index and standardized streamflow index. The propagation relationship between meteorological and hydrological droughts was then investigated from both static and dynamic perspectives, and the possible reasons for its temporal dynamics were discussed by considering environmental factors. Our results showed that the Xilin River basin has suffered from more serious meteorological drought than hydrological drought during the past 60 years, with a stationary evolution of meteorological drought but an overall drying trend in hydrological drought. The propagation from meteorological to hydrological droughts exhibited obvious seasonality, characterized by stronger intensity and shorter response time in the wet season. Nonstationary behaviors were identified for the temporal patterns of drought propagation time, especially showing a significant trend in April, May, and August. The dynamic changes in propagation time affected by regional forces were principally ruled by the precipitation variation positively and strongly, and they were moderately controlled by temperature, vegetation cover, and deep-layer soil moisture, with season-dependent effects. The effects of low-frequency atmospheric anomalies on drought propagation will be further investigated in future studies, which are expected to provide a better understanding of the physical mechanism of the large-scale climate forcing on local drought condition.

Significance Statement

A new research approach was proposed to assess the propagation relationship between meteorological and hydrological drought from both static and dynamic perspectives, and the possible reasons for the temporal dynamics were discussed by considering environmental factors. Focusing on an inland river basin over the Inner Mongolia typical steppe, the propagation from meteorological to hydrological droughts showed obvious seasonality. Nonstationary behaviors were identified for the temporal patterns of drought propagation time, which could be explained by the regional hydrometeorological conditions. The advanced understanding of drought propagation provides a scientific base for water resources planning and drought management within a grassland region.

© 2023 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: Tingxi Liu, txliu1966@163.com
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