Author Search Results :: Library Catalog

1
Towards evaluation criteria in participatory flood risk management by Maskrey, Shaun A., Priest, Sally, Mount, Nick J.

Published 2018

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2
Legitimising data-driven models: exemplification of a new data-driven mechanistic modelling framework by Mount, Nick J., Dawson, C.W., Abrahart, R.J.

Published 2013

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3
Neuroemulation: definition and key benefits for water resources research by Abrahart, R.J., Mount, Nick J., Shamseldin, A.Y.

Published 2012

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4
Legitimising data-driven models: exemplification of a new data-driven mechanistic modelling framework by Mount, Nick J., Dawson, C.W., Abrahart, R.J.

Published 2013

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5
Including spatial distribution in a data-driven rainfall-runoff model to improve reservoir inflow forecasting in Taiwan by Meng-Jung, T., Abrahart, R.J., Mount, Nick J., Chang, F.-J.

Published 2014

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6
Sensitivity analysis for comparison, validation and physical-legitimacy of neural network-based hydrological models by Dawson, C.W., Mount, Nick J., Abrahart, R.J., Louis, J.

Published 2014

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7
Evolutionary, multi-scale analysis of river bank line retreat using continuous wavelet transforms: Jamuna River, Bangladesh by Mount, Nick J., Tate, Nicholas J., Sarker, Maminul H., Thorne, Colin R.

Published 2013

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8
Ideal point error for model assessment in data-driven river flow forecasting by Dawson, C.W, Mount, Nick J., Abrahart, R.J, Shamseldin, A.Y.

Published 2012

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9
The need for operational reasoning in data-driven rating curve prediction of suspended sediment by Mount, Nick J., Abrahart, R.J., Dawson, C.W., Ab Ghani, N.

Published 2012

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10
Participatory modelling for stakeholder involvement in the development of flood risk management intervention options by Maskrey, Shaun A., Mount, Nick J., Thorne, Colin R., Dryden, Ian L.

Published 2016

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11
The need for operational reasoning in data-driven rating curve prediction by Mount, Nick J., Abraharta, Robert J., Dawson, Christian W., Ngahzaifa, Ab. Ghani

Published 2012

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12
DAMP: a protocol for contextualising goodness-of-fit statistics in sediment-discharge data-driven modelling by Abrahart, R.J., Mount, Nick J., Ab Ghani, Ngahzaifa, Clifford, Nicholas J., Dawson, C.W.

Published 2011

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13
DAMP: A protocol for contextualising goodness-of-fit statistics in sediment-discharge data-driven modelling by Abrahart, Robert J., Mount, Nick J., Ngahzaifa, Ab. Ghani, Clifford, Nicholas J., Dawson, Christian W.

Published 2011

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14
Data-driven modelling approaches for socio-hydrology: opportunities and challenges within the Panta Rhei Science Plan by Mount, Nick J., Maier, Holger R., Toth, Elena, Elshorbagy, Amin, Solomatine, Dimitri, Chang, Fi-John, Abrahart, R.J.

Published 2016

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15
Improved validation framework and R-package for artificial neural network models by Humphrey, Greer B., Maier, Holger R., Wu, Wenyan, Mount, Nick J., Dandy, Graeme C., Abrahart, R.J., Dawson, C.W.

Published 2017

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16
Exploring the value of machine learning for weighted multi-model combination of an ensemble of global hydrological models by Zaherpour, Jamal, Mount, Nick J., Gosling, Simon N., Dankers, Rutger, Eisner, Stephanie, Dieter, Gerten, Liu, Xingcai, Masaki, Yoshimitsu, Müller Schmied, Hannes, Tang, Qiuhong, Wada, Yoshihide

Published 2019

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17
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 by Gosling, Simon, Zaherpour, Jamal, Mount, Nick J., Hattermann, Fred, Dankers, Rutger, Arheimer, Berit, Breuer, Lutz, Ding, Jie, Haddeland, Ingjerd, Kumar, Rohini, Kundu, Dipangkar, Liu, Junguo, van Griensven, Ann, Veldkamp, Ted, Vetter, Tobias, Wang, Xiaoyan, Zhang, Xinxin

Published 2016

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18
Worldwide evaluation of mean and extreme runoff from six global-scale hydrological models that account for human impacts by Zaherpour, Jamal, Gosling, Simon N., Mount, Nick J., Müller Schmied, Hannes, Veldkamp, Ted, Dankers, Rutger, Eisner, Stephanie, Gerten, Dieter, Gudmundsson, Lukas, Haddeland, I., Hanasaki, Naota, Kim, Hyungjun, Leng, Guoyong, Liu, Junguo, Masaki, Yoshimitsu, Oki, Taikan, Pokhrel, Yadu, Satoh, Yusuke, Schewe, Jacob, Wada, Yoshihide

Published 2018

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Search Results - Mount, Nick J.

Towards evaluation criteria in participatory flood risk management by Maskrey, Shaun A., Priest, Sally, Mount, Nick J.

Legitimising data-driven models: exemplification of a new data-driven mechanistic modelling framework by Mount, Nick J., Dawson, C.W., Abrahart, R.J.

Neuroemulation: definition and key benefits for water resources research by Abrahart, R.J., Mount, Nick J., Shamseldin, A.Y.

Legitimising data-driven models: exemplification of a new data-driven mechanistic modelling framework by Mount, Nick J., Dawson, C.W., Abrahart, R.J.

Including spatial distribution in a data-driven rainfall-runoff model to improve reservoir inflow forecasting in Taiwan by Meng-Jung, T., Abrahart, R.J., Mount, Nick J., Chang, F.-J.

Sensitivity analysis for comparison, validation and physical-legitimacy of neural network-based hydrological models by Dawson, C.W., Mount, Nick J., Abrahart, R.J., Louis, J.

Evolutionary, multi-scale analysis of river bank line retreat using continuous wavelet transforms: Jamuna River, Bangladesh by Mount, Nick J., Tate, Nicholas J., Sarker, Maminul H., Thorne, Colin R.

Ideal point error for model assessment in data-driven river flow forecasting by Dawson, C.W, Mount, Nick J., Abrahart, R.J, Shamseldin, A.Y.

The need for operational reasoning in data-driven rating curve prediction of suspended sediment by Mount, Nick J., Abrahart, R.J., Dawson, C.W., Ab Ghani, N.

Participatory modelling for stakeholder involvement in the development of flood risk management intervention options by Maskrey, Shaun A., Mount, Nick J., Thorne, Colin R., Dryden, Ian L.

The need for operational reasoning in data-driven rating curve prediction by Mount, Nick J., Abraharta, Robert J., Dawson, Christian W., Ngahzaifa, Ab. Ghani

DAMP: a protocol for contextualising goodness-of-fit statistics in sediment-discharge data-driven modelling by Abrahart, R.J., Mount, Nick J., Ab Ghani, Ngahzaifa, Clifford, Nicholas J., Dawson, C.W.

DAMP: A protocol for contextualising goodness-of-fit statistics in sediment-discharge data-driven modelling by Abrahart, Robert J., Mount, Nick J., Ngahzaifa, Ab. Ghani, Clifford, Nicholas J., Dawson, Christian W.

Data-driven modelling approaches for socio-hydrology: opportunities and challenges within the Panta Rhei Science Plan by Mount, Nick J., Maier, Holger R., Toth, Elena, Elshorbagy, Amin, Solomatine, Dimitri, Chang, Fi-John, Abrahart, R.J.

Improved validation framework and R-package for artificial neural network models by Humphrey, Greer B., Maier, Holger R., Wu, Wenyan, Mount, Nick J., Dandy, Graeme C., Abrahart, R.J., Dawson, C.W.

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