Spatio-temporal variability of drought and effect of large scale climate in the source region of Yellow River

References

• Adamowski J, Prokoph A. 2013. Determining the amplitude and timing of stream flow discontinuities: a cross wavelet analysis approach. Hydrol Proc. 28:2782–2793. doi:10.1002/hyp.9843.
   Google Scholar
• Alam NM, Sharma GC, Moreira E, Jana C, Mishra PK, Sharma NK, Mandal D. 2017. Evaluation of drought using SPEI drought class transitions and log-linear models for different agro-ecological regions of India. Phys Chem Earth 100:31–43.
   Google Scholar
• Alan DZ, Justin S, Edwin PM, Bart N, Eric FW, Dennis PL. 2003. Detection of intensification in global- and continental-scale hydrological cycles: temporal scale of evaluation. J Clim. 16:535–547.
   Google Scholar
• Allan RP, Soden BJ. 2008. Atmospheric warming and the amplification of precipitation extremes. Science 321(5895):1481–1484.
   Google Scholar
• Alley WM. 1984. The Palmer Drought Severity Index: limitations and assumptions. J Climate Appl Meteor. 23(7):1100–1109.
   Google Scholar
• Andrews ED, Antweiler RC, Neiman PJ, Ralph FM. 2004. Inflence of ENSO on flood frequency along the California coast. J Climate. 17:337–348.
   Google Scholar
• Bernaola-Galván P, Ivanov PC, Amaral LAN, Stanley HE. 2001. Scale invariance in the nonstationarity of human heart rate. Phys Rev Lett. 87(16):168105.
   Google Scholar
• Burke EJ, Brown SJ, Christidis N. 2006. Modeling the recent evolution of global drought and projections for the twenty-first century with the Hadley Centre climate model. J Hydrometeor. 7(5):1113–1125.
   Google Scholar
• Chang JX, Li YY, Wang YM, Yuan M. 2016. Copula-based drought risk assessment combined with an integrated index in the Wei River Basin, China. J Hydrol. 540:824–834.
   Google Scholar
• Chang JX, Li YY, Yuan M, Wang YM. 2017. Efficiency evaluation of hydropower station operation: a case study of Longyangxia Station in the Yellow River, China. Energy. 135:23–31.
   Google Scholar
• Chang JX, Zhang HX, Wang YM, Zhu YL. 2016. Assessing the impact of climate variability and human activities on streamflow variation. Hydrol Earth Syst Sci. 20(4):1547–1560.
   Google Scholar
• Chen CF, Son NT, Chen CR, Chiang SH, Chang LY, Valdez M. 2017. Drought monitoring in cultivated areas of Central America using multi-temporal MODIS data. Geomat Nat Haz Risk. 8(2):402–417.
   Google Scholar
• Cole JE, Cook ER. 1998. The changing relationship between ENSO variability and moisture balance in the continental United States. Geophys Res Lett. 25(24):4529–4532.
   Google Scholar
• Cook ER, Anchukaitis KJ, Buckley BM, D’Arrigo RD, Jacoby GC, Wright WE. 2010. Asian monsoon failure and megadrought during the last millennium. Science 328:486–489.
   Google Scholar
• Das PK, Murthy CS, Seshasai MVR. 2014. Monitoring of seasonal dryness/wetness conditions using shortwave angle slope index for early season agricultural drought assessment. Geomat Nat Haz Risk. 5(3):232–251.
   Google Scholar
• Daufresne M, Lengfellner K, Sommer U. 2009. Global warming benefits the small in aquatic ecosystems. Proc Natl Acad Sci USA 106(31):12788–12793.
   Google Scholar
• Dong LY, Chen JY, Fu CS, Jiang HB, Yang XY. 2013. Recognition on the relationship between runoff and regional meteorological factors of the Xijiang River in multi-time scales. Scientia Geograpnica Sinica. 33(2):209–215.
   Google Scholar
• Dvinskikh NI. 1988. Expansion of ionospheric characteristics fields in empirical orthogonal functions. Adv Space Res. 8(4):179–187.
   Google Scholar
• Ganguli P, Ganguly AR. 2016. Space-time trends in U.S. meteorological droughts. J Hydrol. 8:235–259.
   Google Scholar
• Grinsted A, Moore JC, Jevrejeva S. 2004. Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlin Processes Geophys. 11(5/6):561–566.
   Google Scholar
• Hamed KH, Rao AR. 1998. A modified Mann-Kendall trend test for autocorrelated data. J Hydrol. 204(1–4):182–196.
   Google Scholar
• Hamed KH. 2008. Trend detection in hydrologic data: The Mann–Kendall trend test under the scalinghypothesis. J Hydrol. 349:350–363.
   Google Scholar
• Hao ZC, Hao FH, Singh VP. 2016. A general framework for multivariate multi-index drought prediction based on multivariate ensemble streamflow prediction (MESP). J Hydrol. 539:1–10.
   Google Scholar
• Hao ZC, Singh VP. 2015. Drought characterization from a multivariate perspective: A review. J Hydrol. 527:668–678.
   Google Scholar
• Hao ZC, Xia YL, Luo LF, Singh VP, Wei OY, Hao FH. 2017. Toward a categorical drought prediction system based on U.S. Drought Monitor (USDM) and climate forecast. J Hydrol. 551:300–305.
   Google Scholar
• Huang SZ, Huang Q, Chang JX, Chen YT, Xing L, Xie YY. 2015. Copulas-based drought evolution characteristics and risk evaluation in a typical arid and semi-arid region. Water Resour Manage. 29(5):1489–1503.
   Google Scholar
• Huang SZ, Huang Q, Chang JX, Leng GY. 2016a. Linkages between hydrological drought, climate indices and human activities: a case study in the Columbia River basin. Int J Climatol. 36(1):280–290.
   Google Scholar
• Huang SZ, Huang Q, Chang JX, Zhu YL, Leng GY, Xing L. 2015b. Drought structure based on a nonparametric multivariate standardized drought index across the Yellow River basin. China. J Hydrol. 530:127–136.
   Google Scholar
• Huang SZ, Huang Q, Leng GY, Liu SY. 2016. A nonparametric multivariate standardized drought index for characterizing socioeconomic drought: a case study in the Heihe River Basin. J Hydrol. 542:875–883.
   Google Scholar
• Huang SZ, Leng GY, Huang Q, Xie YY, Liu SY, Meng EH. 2017a. The asymmetric impact of global warming on US drought types and distributions in a large ensemble of 97 hydro-climatic simulations. Sci Rep. 7(1):5891.
   Google Scholar
• Huang SZ, Li P, Huang Q, Leng GY, Hou BB, Ma L. 2017. The propagation from meteorological to hydrological drought and its potential influence factors. J Hydrol. 547:184–195.
   Google Scholar
• Hudgins L, Friehe CA, Mayer ME. 1993. Wavelet transforms and atmospheric turbulence. Phys Rev Lett. 71(20):3279–3282.
   Google Scholar
• Hudgins L, Huang JP. 1996. Bivariate wavelet analysis of Asia Monsoon and ENSO. Adv Atmos Sci. 13(3):299–312.
   Google Scholar
• Hurrell JW. 1995. Decadal trends in the North Atlantic Oscillation: regional temperature and precipitation. Science. 269(5224):676–679.
   Google Scholar
• Hurrell JW, Van Loon H. 1997. Decadal Variations in Climate Associated with the North Atlantic Oscillation. Clim Change. 36:301–326.
   Google Scholar
• IPCC. 2012. Managing the risks of extreme events and disasters to advance climate change adaptation a special report of working groups i and ii of the intergovernmental panel on climate change. Cambridge, UK: Cambridge University Press, 1–19．
   Google Scholar
• Jin HJ, He RX, Cheng GD, Wu QB, Wang SL, Lue LZ, Chang XL. 2009. Changes in frozen ground in the source area of the Yellow River on the Qinghai–Tibet Plateau, China, and their eco-environmental impacts. Environ Res Lett. 4(4):045206.
   Google Scholar
• Kogan F, Guo W. 2015. 2006–2015 mega-drought in the western USA and its monitoring from space data. Geomat Nat Haz Risk. 6(8):651–668.
   Google Scholar
• Kogan F, Guo W, Strashnaia A, Kleshenko A, Chub O, Virchenko O. 2016. Modelling and prediction of crop losses from NOAA polar-orbiting operational satellites. Geomat Nat Haz Risk. 7(3):886–900.
   Google Scholar
• Kogan F, Guo W, Yang WZ. 2017. SNPP/VIIRS vegetation health to assess 500 California drought. Geomat Nat Haz Risk. 8(2):1383–1395.
   Google Scholar
• Kiem AS, Verdon-Kidd DC. 2009. Climatic drivers of Victorian streamflow: Is ENSO the dominant influence? Australian J Water Resour. 13(1):17–30.
   Google Scholar
• Lan YC, Lu CY, La CF, Shen YP, Song J, Wen J, Liu JP. 2013. The fact of climate shift to warm-humid in the source regions of the Yellow River and its hydrologic response. J Glaciol Geocryol. 35(4):920–928.
   Google Scholar
• Li HM, Li ZW, Wang ZY, Shen HY. 2012. Comparative analysis of climate abrupt changing time in different ecological function Rerions of Qinghai Province. J Glaciol Geocryol. 34(6):1388–1393.
   Google Scholar
• Limsakul A, Singhruck P. 2016. Long-term trends and variability of total and extreme precipitation in Thailand. Atmos Res. 169:301–317.
   Google Scholar
• Maity R, Suman M, Verma NK. 2016. Drought prediction using a wavelet based approach to model the temporal consequences of different types of droughts. J Hydrol. 539:417–428.
   Google Scholar
• Mantua NJ, Hare SR, Zhang Y, Wallace JM, Francis R. 1997. A Pacific interdecadal climate oscillation with impacts on salmon production. Bull Amer Meteor Soc. 78(6):1069–1079.
   Google Scholar
• Maraun D, Kurths J. 2004. Cross wavelet analysis: significance testing and pitfalls. Nonlin Processes Geophys. 11(4):505–514.
   Google Scholar
• McKee TB, Doesken NJ, Kleist J. 1993. The relationship of drought frequency and duration to time scales. Eighth Conference on Applied Climatology, Anaheim, California, p. 17–22.
   Google Scholar
• Mitchell JM, Dzerdzeevskii B, Flohn H. 1966. Climate Change, WHO Technical Note 79. Geneva: World Meteorological Organization, p.79.
   Google Scholar
• North GR, Bell TL, Cahalan RF, Moeng FJ. 1982. Sampling errors in the estimation of empirical orthogonal function. Mon Wea Rev. 110(7):699–706.
   Google Scholar
• Palmer WC. 1965. Meteorological drought. Washington, DC: Weather Bureau Research Paper No.45.
   Google Scholar
• Palmer WC. 1968. Keeping track of crop moisture conditions, nationwide: the new crop moisture index. Weatherwise 21(4):156–161.
   Google Scholar
• Person K. 1901. On lines and planes of closest fit to system of points in space. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science. 2(11):559–572.
   Google Scholar
• Qin Y, Yang DW, Gao B, Wang TH, Chen JS, Chen Y, Wang YH, Zheng GH. 2017. Impacts of climate warming on the frozen ground and eco-hydrology inthe Yellow River source region, China. Sci Total Environ. (606/606):830–841.
   Google Scholar
• Ryu JH, Svoboda MD, Lenters JD, Tadesse T, Knutson CL. 2010. Potential extents for ENSO-driven hydrologic drought forecasts in the United States. Climate Change. 101(3–4):575–597.
   Google Scholar
• Sen PK. 1968. Estimates of the regression coefficient based on Kendall' s tau. Am Stat Assoc. 63(324):1379–1389.
   Google Scholar
• Singh S, Srivastava P, Abebe A, Mitra S. 2015. Baseflow response to climate variability induced droughts in the Apalachicola-Chattahoochee–Flint River Basin, U.S.A. J Hydrol. 528:550–561.
   Google Scholar
• Sierra-Soler A, Adamowski J, Malard J, Qi ZM, Saadat H, Pingale S. 2016. Assessing agricultural drought at a regional scale using LULC classification, SPI, and vegetation indices: case study in a rainfed agro-ecosystem in Central Mexico. Geomat Nat Haz Risk. 7(4):1460–1488. 2016.
   Google Scholar
• Talaee PH, Tabari H, Ardakani SS. 2014. Hydrological drought in the west of Iran and possible association with large-scale atmospheric circulation patterns. Hydrological. Process. 28:764–773.
   Google Scholar
• Torrence C, Compo GP. 1998. A practical guide to wavelet analysis. Bull Amer Meteor Soc. 79(1):61–78.
   Google Scholar
• Verdon DC, Wyatt AM, Kiem AS, Franks SW. 2004. Multi-decadal variability of rainfall and stream flow-Eastern Australia. Water Resour Res. 40(10):W10201.
   Google Scholar
• Vicente-Serrano SM, Beguería S, López-Moreno JI. 2010. A Multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index - SPEI. J Clim. 23(7):1696–1718.
   Google Scholar
• Wanders N, Wada Y. 2015. Human and climate impacts on the 21st century hydrological drought. J Hydrol. 526:208–220.
   Google Scholar
• Wang KL, Cheng GD, Ding YJ, Shen YP, Hao J. 2006. Characteristics of water vapour transport and atmospheric circulation for precipitation over the source regions of the Yellow and Yangtze Rivers. J Glaciol Geocryol. 28(1):8–14.
   Google Scholar
• Ward PJ, Kummu M, Lall U. 2016. Flood frequencies and durations and their response to El Niño Southern Oscillation:Global analysis. J Hydrol. 539:358–378.
   Google Scholar
• Wang SW, Gong DY. 1999. ENSO events and their strength over the past 100 years. Meteor Mon. 25(1):9–13.
   Google Scholar
• Wei FY. 2007. Modern Climate Statistical Diagnosis and Prediction Technology. 2nd ed. Beijing: China Meteorological Press.
   Google Scholar
• Wilhite D. 2000. Drought: a global assessment, vols. I & II. Routledge hazards and disasters series, London: Routledge.
   Google Scholar
• Xie ZT, Xu JP, Deng YF. 2016. Risk analysis and evaluation of agricultural drought disaster in the major grain-producing areas, China. Geomat Nat Haz Risk. 7(5):1691–1706.
   Google Scholar
• Xu K, Yang DW, Yang HB, Li Z, Qin Y, Shen Y. 2015. Spatio-temporal variation of drought in China during 1961–2012: A climatic perspective. J Hydrol. 526:253–264.
   Google Scholar
• Yang HB, Yang DW. 2012. Climatic factors influencing changing pan evaporation across China from 1961 to 2001. J Hydrol. 414–415:184–193.
   Google Scholar
• Yang HB, Yang DW, Hu QF, Lv HF. 2015. Spatial variability of the trends in climatic variables across China during 1961–2010. Theor Appl Climatol. 120(3–4):773–783.
   Google Scholar
• Yang MX, Nelson FE, Shiklomanov NI, Guo DL, Wan GN. 2010. Permafrost degradation and its environmental effects on the Tibetan Plateau: a review of recent research. Earth-Sci Rev. 103(1–2):31–44.
   Google Scholar
• Yu M, Li Q, Hayes MJ, Svoboda MD, Heim RR. 2014. Are droughts becoming more frequent or severe in China based on the Standardized Precipitation Evapotranspiration Index:1951–2010? Int J Climatol. 34(3):545–558.
   Google Scholar
• Zeleke TT, Giorgi F, Diro GT, Zaitchik BF. 2017. Trend and periodicity of drought over Ethiopia. Int J Climatol. 37(13):4733–4748.
   Google Scholar
• Zerbini S, Raicich F, Richter B, Gorini V, Errico M. 2010. Hydrological signals in height and gravity in northeastern Italy inferred from principal components analysis. J Geodyna. 49(3–4):190–204.
   Google Scholar
• Zhang Q, Xu CY, Jiang T, Wu YJ. 2007. Possible influence of ENSO on annual maximum stream flow of the Yangtze River, China. J Hydrol. 333:265–274.
   Google Scholar
• Zhang Q, Li JF, Singh VP, Xu CY, Deng JY. 2013. Influence of ENSO on precipitation in the East River basin, south China. J Geophys Res-Atmos. 118:2207–2219.
   Google Scholar
• Zhang Z, Chao BF, Chen J, Wilson CR. 2015. Terrestrial water storage anomalies of Yangtze River Basin droughts observed by GRACE and connections with ENSO. Global Planet Change 126:35–45.
   Google Scholar