Meteorological Drought Characteristics Research of Western Jilin Province Based on Wavelet Analyses

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Drought is a recurrent feature of the climate. It occurs in virtually all climatic zones, and its characteristics vary significantly among regions. The precipitation data are obtained from 6 fairly distributed stations across western Jilin province (in China) for the period from 1957 to 2010. The calculated monthly standardized precipitation index (SPI) is used as a drought index. SPI not only nicely reflects drought intensity and duration, but also has a multi-temporal scale application dimension. For the purpose of analyzing multiple meteorological drought time-scales, Morlet wavelet transforms of the station monthly SPI time-series are interpreted. The results show that some stations, such as Chang-Ling and Tong-Yu, have remarkably significant cycles in their respective wavelet power spectrum and variance. However, these significant cycles are not clearly noticeable in the other stations. Irrespective of the trend, time-scale and cycles generally influence drought characteristics in the study area.

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2121-2126

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February 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Palmer, W. C., and Bureau, E. U. W.: Meteorological drought (US Dept. of Commerce, Weather Bureau, Washington, USA, 1965).

Google Scholar

[2] Byun, H. R., and Wilhite, D. A.: Objective quantification of drought severity and duration, J Climate, 12 (1999), 2747-2756.

DOI: 10.1175/1520-0442(1999)012<2747:oqodsa>2.0.co;2

Google Scholar

[3] Zierl, B.: A water balance model to simulate drought in forested ecosystems and its application to the entire forested area in Switzerland, J Hydrol, 242 (2001), 115-136.

DOI: 10.1016/s0022-1694(00)00387-5

Google Scholar

[4] Hayes, M. J.: Monitoring the 1996 drought using the standardized precipitation index, B Am Math Soc, 80 (1999), 429-438.

Google Scholar

[5] Bussay, A., Szinell, C., and Szentimery, T.: Investigation and measurements of droughts in Hungary (Hungarian Meteorological Service, 1999).

Google Scholar

[6] Sen, A. K.: Spectral-temporal characterization of riverflow variability in England and Wales for the period 1865–2002, Hydrol Process, 23 (2009), 1147-1157.

DOI: 10.1002/hyp.7224

Google Scholar

[7] Anctil, F., and Coulibaly, P.: Wavelet analysis of the interannual variability in southern Québec streamflow, J Climate, 17 (2004), 163-173.

DOI: 10.1175/1520-0442(2004)017<0163:waotiv>2.0.co;2

Google Scholar

[8] Wang, P. W., Wang, G. Q., and Yang, S.: An analysis of dry climatological feature in the west of Jinlin province, Journal of Jilin Agricultural Sciences, (1991), 90-94. (in Chinese).

Google Scholar

[9] McKee, T. B., Doesken, N. J., and Kleist, J.: The relationship of drought frequency and duration to time scales, in: Proceedings of the 8th Conference on Applied Climatogy, California, USA (1993), 179-184.

Google Scholar

[10] Yuan, W. P., and Zhou, G. S.: Comparison between standardized precipitation index and Z-index in China, Acta Phytoecologica Sinica, 28 (2004), 523-529. (in Chinese).

Google Scholar

[11] Addison, P. S.: The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance (Taylor & Francis, Bristol, UK, 2002).

DOI: 10.1201/9781420033397

Google Scholar

[12] Wang, W., Ding, J., and Li, Y.: Hydrology wavelet analysis (Chemical Industry Press, Beijing, China, 2005). (in Chinese).

Google Scholar

[13] Koirala, S. R., Gentry, R. W., Mulholland, P. J., Perfect, E., and Schwartz, J. S.: Time and frequency domain analyses of high-frequency hydrologic and chloride data in an east Tennessee watershed, J Hydrol, 387 (2010), 256-264.

DOI: 10.1016/j.jhydrol.2010.04.014

Google Scholar

[14] Meyers, S. D., Kelly, B., and O'BRIEN, J.: An introduction to wavelet analysis in oceanography and meteorology: With application to the dispersion of Yanai waves, Mon Weather Rev, 121 (1993), 2858-2866.

DOI: 10.1175/1520-0493(1993)121<2858:aitwai>2.0.co;2

Google Scholar

[15] Deng, Z., Lin, Z., and Zhou, X.: Multiple time scales analysis of Xi'An climate change for last 50 years, Plateau Meteorology, 1 (1997), 81-93. (in Chinese).

Google Scholar