2020
DOI: 10.1002/essoar.10504791.1
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Multi-Proxy, Multi-Season Streamflow Reconstruction with Mass Balance Adjustment

Abstract: Dendrohydrology, the study of past hydroclimate using tree rings, has been largely motivated by water resources management. The field traces back to Hardman and Reil (1936), who recognized that instrumental records were too short to understand drought trends and demonstrated that better understanding could be gained from exploring the links between tree rings and streamflow. Their work was motivated by contemporary droughts in California that affected irrigation. At the same time, Hawley (1937) found strong co… Show more

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Cited by 2 publications
(1 citation statement)
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“…For example, oxygen isotopes often correlate well with peak flow (Xu et al 2019), while ring widths tend to capture the response to droughts (Gallant and Gergis 2011). One could therefore leverage the correlation between multiple proxies and different target variables to reconstruct subannual flows-a concept recently demonstrated by Rao (2020) and Nguyen et al (2020a). Because more sampling sites and proxies are being developed (e.g., blue intensity, latewood density), we have an opportunity for creating models that bank on large multiproxy networks to reconstruct subannual streamflow.…”
Section: Improving the Format And Accuracy Of Reconstructionsmentioning
confidence: 99%
“…For example, oxygen isotopes often correlate well with peak flow (Xu et al 2019), while ring widths tend to capture the response to droughts (Gallant and Gergis 2011). One could therefore leverage the correlation between multiple proxies and different target variables to reconstruct subannual flows-a concept recently demonstrated by Rao (2020) and Nguyen et al (2020a). Because more sampling sites and proxies are being developed (e.g., blue intensity, latewood density), we have an opportunity for creating models that bank on large multiproxy networks to reconstruct subannual streamflow.…”
Section: Improving the Format And Accuracy Of Reconstructionsmentioning
confidence: 99%