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  • Drought: Advances in Monitoring, Preparedness, and Understanding Drought Characteristics x
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Sergio M. Vicente-Serrano, Santiago Beguería, Jorge Lorenzo-Lacruz, Jesús Julio Camarero, Juan I. López-Moreno, Cesar Azorin-Molina, Jesús Revuelto, Enrique Morán-Tejeda, and Arturo Sanchez-Lorenzo

adequately quantify the degree of drought hazard exerted on sensitive systems. Many studies have shown strong relationships between the temporal variability of different drought indices and response variables of natural systems such as tree growth (e.g., Orwig and Abrams 1997 ; Copenheaver et al. 2011 ; Pasho et al. 2011 ), river discharge (e.g., Vicente-Serrano and López-Moreno 2005 ; Hannaford et al. 2011 ), groundwater level ( Khan et al. 2008 ; Fiorillo and Guadagno 2010 ), crop yields (e

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Daniel J. McEvoy, Justin L. Huntington, John T. Abatzoglou, and Laura M. Edwards

characteristics are summarized in Table 1 . Two reservoirs, one lake, five streams, and one river ( Table 1 and Figure 1 ) were chosen and a POR of 1960–2010 was used everywhere but Kingston Creek and Steptoe Creek, where a POR of 1966–2010 was used. Although water releases from lakes and reservoirs are anthropogenically controlled, natural wet and dry cycles are still clearly evident in the historical time series. Table 1. Summary of USGS stations used in study. 3.3. Drought index calculations Input

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Kingtse C. Mo, Lindsey N. Long, and Jae-Kyung E. Schemm

1. Introduction Drought is one of the major water management issues facing the western region of the United States. In recent years, the western interior region has suffered many episodes of long-term droughts. For example, the Colorado River basin suffered severe drought for 8 years from 2000 to 2007. The unregulated inflow to Lake Powell was below normal for 7 out of 8 years during that period. Under these circumstances, careful planning when knowing the future projections of water resources

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Di Long, Bridget R. Scanlon, D. Nelun Fernando, Lei Meng, and Steven M. Quiring

Texas river basins: Uncertainty, trends, and teleconnections . J. Geophys. Res. , 116 , D08108 , doi:10.1029/2010JD014597 . Ozger , M. , A. K. Mishra , and V. P. Singh , 2011 : Scaling characteristics of precipitation data over Texas . J. Hydrol. Eng. , 16 , 1009 – 1016 . Pryor , S. C. , J. A. Howe , and K. E. Kunkel , 2009 : How spatially coherent and statistically robust are temporal changes in extreme precipitation in the contiguous USA? Int. J. Climatol. , 29 , 31

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