Outputs (5)

Erratum to: A comparison of changes in river runoff from multiple global and catchment-scale hydrological models under global warming scenarios of 1 °C, 2 °C and 3 °C (Climatic Change, 10.1007/s10584-016-1773-3) (2016)
Journal Article
Gosling, S. N., Zaherpour, J., Mount, N. J., Hattermann, F. F., Dankers, R., Arheimer, B., Breuer, L., Ding, J., Haddeland, I., Kumar, R., Kundu, D., Liu, J., van Griensven, A., Veldkamp, T. I., Vetter, T., Wang, X., & Zhang, X. (2017). Erratum to: A comparison of changes in river runoff from multiple global and catchment-scale hydrological models under global warming scenarios of 1 °C, 2 °C and 3 °C (Climatic Change, 10.1007/s10584-016-1773-3). Climatic Change, 141(3), 597-598. https://doi.org/10.1007/s10584-016-1855-2

In the initial online publication, a middle initial “J.” was added to the name of second author Jamal Zaherpour. This middle initial should not be there. The original publication has now been corrected as well.

On the physical and operational rationality of data-driven models for suspended sediment prediction in rivers (2016)
Book Chapter
Mount, N., Abrahart, R., & Dawson, C. (2016). On the physical and operational rationality of data-driven models for suspended sediment prediction in rivers. River System Analysis and Management (31-46). Springer. https://doi.org/10.1007/978-981-10-1472-7_3

Suspended sediment remains an important variable for prediction in river studies. Knowledge of suspended sediment concentration or load at different downstream locations within a channel allows the temporal and spatial patterns of catchment sediment... Read More about On the physical and operational rationality of data-driven models for suspended sediment prediction in rivers.

A comparison of changes in river runoff from multiple global and catchment-scale hydrological models under global warming scenarios of 1°C, 2°C and 3°C (2016)
Journal Article
Gosling, S., Zaherpour, J., Mount, N. J., Hattermann, F., Dankers, R., Arheimer, B., Breuer, L., Ding, J., Haddeland, I., Kumar, R., Kundu, D., Liu, J., van Griensven, A., Veldkamp, T., Vetter, T., Wang, X., & Zhang, X. (in press). A comparison of changes in river runoff from multiple global and catchment-scale hydrological models under global warming scenarios of 1°C, 2°C and 3°C. Climatic Change, https://doi.org/10.1007/s10584-016-1773-3

We present one of the first climate change impact assessments on river runoff that utilises an ensemble of global hydrological models (Glob-HMs) and an ensemble of catchment-scale hydrological models (Cat-HMs), across multiple catchments: the upper A... Read More about A comparison of changes in river runoff from multiple global and catchment-scale hydrological models under global warming scenarios of 1°C, 2°C and 3°C.

Participatory modelling for stakeholder involvement in the development of flood risk management intervention options (2016)
Journal Article
Maskrey, S. A., Mount, N. J., Thorne, C. R., & Dryden, I. L. (2016). Participatory modelling for stakeholder involvement in the development of flood risk management intervention options. Environmental Modelling and Software, 82, 275-294. https://doi.org/10.1016/j.envsoft.2016.04.027

Advancing stakeholder participation beyond consultation offers a range of benefits for local flood risk management, particularly as responsibilities are increasingly devolved to local levels. This paper details the design and implementation of a par... Read More about Participatory modelling for stakeholder involvement in the development of flood risk management intervention options.

Data-driven modelling approaches for socio-hydrology: Opportunities and challenges within the Panta Rhei Science Plan (2016)
Journal Article
Mount, N. J., Maier, H. R., Toth, E., Elshorbagy, A., Solomatine, D., Chang, F.-J., & Abrahart, R. J. (2016). Data-driven modelling approaches for socio-hydrology: Opportunities and challenges within the Panta Rhei Science Plan. Hydrological Sciences Journal, 61(7), 1192-1208. https://doi.org/10.1080/02626667.2016.1159683

© 2016 IAHS. “Panta Rhei - Everything Flows” is the science plan for the International Association of Hydrological Sciences scientific decade 2013-2023. It is founded on the need for improved understanding of the mutual, two-way interactions occurrin... Read More about Data-driven modelling approaches for socio-hydrology: Opportunities and challenges within the Panta Rhei Science Plan.