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Complex spatial and temporal influences of climatic drought time-scales on hydrological droughts in natural basins of U.S.
1 , 1 , 2 , 3 , * 4 , 5 , 1 , 6 , 1 , 1
1  CSIC, Spain
2  Centre for Ecology and Hydrology, UK
3  University of Isles Balears, Spain
4  National Drought Mitigation Centre, University of Nebraska-Lincoln, USA
5  Ohio State University, USA
6  University of Montana, Missoula, USA

Abstract:

We have analysed the response of hydrological droughts to climatic droughts in different natural basins of United States of America. For this purpose we selected 289 complete series from an initial data set of 702 gauging stations, covering the period between 1940 and 2013. Drainage basins were obtained for each gauging station using a digital terrain model, and climate series (precipitation and the atmospheric evaporative demand) were obtained for each drainage series. A number of topographic, edaphic and remote sensing variables were quantified for each basin. A hydrological drought index (The Standardized Stream Flow Index-SSI) was obtained for each basin and the Standardized Precipitation Evapotranspiration Index (SPEI) was used as a metric of climatic drought severity. Relationship between different SPEI time scales and the SSI was quantified using Pearson’s correlations and the general patterns of response of hydrological droughts to climatic droughts were identified using a principal component analysis. In general there is a response of SSI to short SPEI time-scales but strong seasonality in this response is also found. Coherent geographic patterns were obtained from the analysis and the factors that control the different responses were analysed by means of a predictive discriminant analysis. Independent analysis for three periods (1940-1964, 1965-1989 and 1989-2013) were also performed and showed not important changes in the response of the SSI to the SPEI in the past 65 years.

Comments on this paper
Marta Vázquez
Streamflow data
Dear authors,

It is a very interesting work. My question concerns the streamflow data. In the text, you specify that "From the original stations we selected those characterized by few data gaps and covering the period 1940‐2013". Which is the criteria you applied to consider that the data gaps are low?

Congratulation for the work.

Kind regard,

Marta
Sergio Vicente-Serrano
Dear Marta,

thanks for your comment. We considered the series having less than 10% of data gaps.

Best regards
Sergio

Tom Rickenbach
Figure 2 correlations
Thank you for sharing this very interesting study. Two quick points.

1. In Figure 2, is the time scale in months?

2. Figure 2 suggests (I think) that the Rocky Mountain region has longer lag between drought and streamflow response compared to the eastern US and west coast. Based on the literature or on the location of your watersheds, can you discuss why this is the case? For example, seasonal snowmelt, topography, surface type, groundwater storage, or even reservoir storage (Lake Powell for example) might increase the time between rain and watershed discharge more so in the mountainous regions than the rest of the country. How might your analysis shed light on these mechanisms?

Best regards - Tom Rickenbach

jackie davis
ahti
I am always searching online for articles that can help me. There is obviously a lot to know about this. I think you made some good points in Features also. Keep working, great job!
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jackie davis
ahti
I am always searching online for articles that can help me. There is obviously a lot to know about this. I think you made some good points in Features also. Keep working, great job!https://diigo.com/0e038a



 
 
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