Process understanding - Model diagnostics

Recommended references

Pechlivanidis I.G., Crochemore L., Rosberg J., Bosshard T., 2020, ‘What are the key drivers controlling the forecasts of seasonal streamflow volumes?’, Water Resources Research, doi: 10.1029/2019WR026987

Pechlivanidis, I. G., McIntyre N., Wheater H. S., 2017, The significance of spatial variability of rainfall on simulated runoff: an evaluation based on the Upper Lee catchment, UK, Hydrol. Res., 1–13, doi:10.2166/nh.2016.038.

Nijzink R., Hutton C., Pechlivanidis I.G., Capell R., Arheimer B., Freer J., Han D., Wagener W., McGuire K., Savenije H., Hrachowitz M., 2016, ‘The evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change?’, Hydrol. Earth Syst. Sci., 20, 4775-4799, doi:10.5194/hess-20-4775-2016.

Pechlivanidis I.G., Jackson B., McMillan H., Gupta H., 2016, ‘Robust informational entropy-based descriptors of flow in catchment hydrology’, Hydrological Sciences Journal, 61(1), 1-18, doi: 10.1080/02626667.2014.983516

Pechlivanidis I.G., Arheimer, B., 2015, ‘Large-scale hydrological modelling by using modified PUB recommendations: the India-HYPE case’, Hydrol. Earth Syst. Sci., 19, 4559-4579, doi: 10.5194/hess-19-4559-2015

Andersson J.C.M., Pechlivanidis I.G., Gustafsson D., Donnelly C., Arheimer B., 2015, ‘Key factors for improving large-scale hydrological model performance’, European Water, 49, 77-88.

Pechlivanidis I.G., Jackson B., McMillan H., Gupta H., 2014, ‘Use of an entropy-based metric in multi-objective calibration to improve model performance’, Water Resources Research, 50, 8066-8083, doi: 10.1002/2013WR014537

Pechlivanidis I.G., Crochemore L., Rosberg J., Bosshard T., 2020, ‘What are the key drivers controlling the forecasts of seasonal streamflow volumes?’, Water Resources Research, doi: 10.1029/2019WR026987
Pechlivanidis, I. G., McIntyre N., Wheater H. S., 2017, The significance of spatial variability of rainfall on simulated runoff: an evaluation based on the Upper Lee catchment, UK, Hydrol. Res., 1–13, doi:10.2166/nh.2016.038.
Nijzink R., Hutton C., Pechlivanidis I.G., Capell R., Arheimer B., Freer J., Han D., Wagener W., McGuire K., Savenije H., Hrachowitz M., 2016, ‘The evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change?’, Hydrol. Earth Syst. Sci., 20, 4775-4799, doi:10.5194/hess-20-4775-2016.
Pechlivanidis I.G., Jackson B., McMillan H., Gupta H., 2016, ‘Robust informational entropy-based descriptors of flow in catchment hydrology’, Hydrological Sciences Journal, 61(1), 1-18, doi: 10.1080/02626667.2014.983516
Pechlivanidis I.G., Arheimer, B., 2015, ‘Large-scale hydrological modelling by using modified PUB recommendations: the India-HYPE case’, Hydrol. Earth Syst. Sci., 19, 4559-4579, doi: 10.5194/hess-19-4559-2015
Andersson J.C.M., Pechlivanidis I.G., Gustafsson D., Donnelly C., Arheimer B., 2015, ‘Key factors for improving large-scale hydrological model performance’, European Water, 49, 77-88.
Pechlivanidis I.G., Jackson B., McMillan H., Gupta H., 2014, ‘Use of an entropy-based metric in multi-objective calibration to improve model performance’, Water Resources Research, 50, 8066-8083, doi: 10.1002/2013WR014537

Contact

Dr Ilias G. Pechlivanidis SMHI
60176
Norrköping
Sweden
ilias.pechlivanidis@gmail.com