Climatic Change

, Volume 102, Issue 3, pp 699–707

High-resolution streamflow trend analysis applicable to annual decision calendars: a western United States case study

A letter

Authors

  • Jong-Suk Kim
    • Department of Civil & Environmental EngineeringUniversity of Maine
    • Department of Civil & Environmental EngineeringUniversity of Maine
    • Climate Change InstituteUniversity of Maine
Letter

DOI: 10.1007/s10584-010-9933-3

Cite this article as:
Kim, J. & Jain, S. Climatic Change (2010) 102: 699. doi:10.1007/s10584-010-9933-3
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Abstract

Changes in the seasonality of streamflow in the western United States have important implications for water resources management and the wellbeing of coupled human-natural systems. An assessment of changes in the timing and magnitude of streamflow resolved at fine time scales (days to weeks and seasons) is highly relevant to adaptive management strategies that are responsive to changing hydrologic baselines. In this paper, we present a regional analysis of the changes in streamflow seasonality through a broad classification of streams and quantification of increases and decreases in flow, based on a quantile regression methodology. This analysis affords a useful research product to examine the diversity of trends across seasons for individual streams. The trend analysis methodology can identify windows of change, thus revealing vulnerabilities within decision calendars and species lifecycles, an important consideration for adaptation and mitigation efforts.

Supplementary material

10584_2010_9933_MOESM1_ESM.pdf (387 kb)
(PDF 388 kb)
10584_2010_9933_MOESM2_ESM.pdf (3 mb)
(PDF 3.03 MB)
10584_2010_9933_MOESM3_ESM.pdf (570 kb)
(PDF 572 kb)

Copyright information

© Springer Science+Business Media B.V. 2010