Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Mapping (dis)agreement in hydrologic projections

Lieke Melsen, Nans Addor, Naoki Mizukami, Andrew J. Newman, P.J.J.F. Torfs, Martyn Clark, R. Uijlenhoet, Adriaan J. Teuling

Hydrology and earth system sciences · 2018

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Summary

Abstract. Hydrologic projections are of vital socio-economic importance. However, they are also prone to uncertainty. In order to establish a meaningful range of storylines to support water managers in decision making, we need to reveal the relevant sources of uncertainty. Here, we systematically and extensively investigate uncertainty in hydrologic projections for 605 basins throughout the contiguous US. We show that in the majority of the basins, the sign of change in average annual runoff and discharge timing for the period 2070–2100 compared to 1985–2008 differs among combinations of climate models, hydrologic models, and parameters. Mapping the results revealed that different sources of uncertainty dominate in different regions. Hydrologic model induced uncertainty in the sign of chan

Source type
Peer-reviewed study
DOI
10.5194/hess-22-1775-2018
Catalogue ID
BFmoef2us2-uglbf8
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