Characterizing and understanding the variability of streamflow drought indicators within the USA. Issue 12 (10th September 2018)

• Record Type: Journal Article
• Authors: Pournasiri Poshtiri, Maryam; Towler, Erin; Pal, Indrani
• Is Part Of: Hydrological sciences journal. Volume 63:Issue 12(2018)
• Page Start: 1791
• Page End: 1803
• Publication Date: 2018-09-10
• Subjects: variability pattern -- streamflow drought indicators -- spatial clustering -- regional climate; Hydrology -- Periodicals; 551.4805
• DOI: 10.1080/02626667.2018.1534240
• Languages: English
• ISSNs: 0262-6667

Abstract

ABSTRACT: Low streamflow conditions can have adverse consequences for society and river ecology. The variability and drivers of streamflow drought indicators within the USA were investigated using observed streamflow records from 603 gauges across the USA. The analysis was based on two main approaches: (i) low-flow magnitude indicators, and (ii) streamflow deficit indicators. First, we examined how streamflow drought indicators vary spatially across the USA. Second, we used a data-driven clustering method to identify spatial clusters for each indicator. Finally, we assessed the association with regional climate drivers. The results show that the spatial variability of low-flow magnitude indicators is significantly different from the deficit indicators. Further, our clustering approach identifies regions of spatial homogeneity, which can be linked to the extreme regional climate drivers and land–atmosphere interactions. The influence of regional climate on streamflow drought indicators varies more between clusters than between indicators.