Journal Publications
Ziogas A., Pechlivanidis I.G., Romas E., Tzimas A., 2021, ’Climate service derived indicators to assess the impact of climate change on river assimilative capacity’, Climate Services, https://doi.org/10.1016/j.cliser.2021.100250
Crochemore L., Cantone C., Pechlivanidis I.G., Photiadou C., 2021, ’How does seasonal forecast performance influence decision-making? Insights from a serious game’, Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-20-0169.1
Girons Lopez, M., Crochemore, L., Pechlivanidis, I.G., 2021, ‘Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden’, Hydrol. Earth Syst. Sci., 25, 1189-1209, https://doi.org/10.5194/hess-25-1189-2021
Giuliani M., Crochemore L., Pechlivanidis I.G., Castelletti A., 2020, ‘From skill to value: isolating the influence of end user behavior on seasonal forecast assessment’, Hydrol. Earth Syst. Sci., 24, 5891-5902, https://doi.org/10.5194/hess-24-5891-2020
Kiesel J., Stanzel P., Kling H., Jähnig S., Fohrer N., Pechlivanidis I.G., 2020, ‘Streamflow-based evaluation of climate model sub-selection methods for impact assessments’, Climatic Change, https://doi.org/10.1007/s10584-020-02854-8
Hundecha Y., Arheimer B., Berg P., Capell R., Musuuza J., Pechlivanidis I.G., Photiadou C., 2020, ‘Effect of model calibration strategy on climate projections of hydrological indicators at a continental scale’, Climatic Change, https://doi.org/10.1007/s10584-020-02874-4
Macian-Sorribes H., Pechlivanidis I.G., Crochemore L., Pulido-Velazquez M., 2020, ‘Fuzzy post-processing to advance the quality of continental seasonal hydrological forecasts for river basin management’, Journal of Hydrometeorology, doi: https://doi.org/10.1175/JHM-D-19-0266.1
Wörman A., Bertacchi Uvo C., Brandimarte L., Busse S., Crochemore L., Girons Lopez M., Hao S., Pechlivanidis I.G., Riml J., 2020, ‘Virtual energy storage gain resulting from the spatio-temporal coordination of hydropower over Europe’, Applied Energy, doi: 10.1016/j.apenergy.2020.115249
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
Contreras E., Herrero J., Crochemore L., Pechivanidis I.G., Photiadou C., Aguilar C., Polo M.J., 2020, ‘Advances in the definition of needs and specifications for a climate service tool aimed at small hydropower plants operation and management’, Energies, 13, 1827, https://doi.org/10.3390/en13071827
Lavers D., Ramos M-H., Magnusson L., Pechlivanidis I.G., Klein B., Prudhomme C., Arnal L., Crochemore L., van den Hurk B., Weerts A., Harrigan S., Cloke H., Richardson D., Pappenberger F., 2020, ‘A vision for hydrological prediction’, Atmosphere, 11(3), 237, https://doi.org/10.3390/atmos11030237
Musuuza J., Gustafsson D., Pimentel R., Crochemore L., Pechlivanidis I.G., 2020, ‘Impact of satellite and in-situ data assimilation on hydrological predictions’, Remote Sensing, 12, 811, https://doi.org/10.3390/rs12050811
Crochemore L., Ramos M-H., Pechlivanidis I.G., 2020, ‘Can continental model convey useful seasonal hydrologic information at the catchment scale?’, Water Resources Research, 56, e2019WR025700. https://doi.org/10.1029/2019WR025700
Nijzink R.C., Almeida S., Pechlivanidis I.G., Capell R., Gustafsson D., Arheimer B., Parajka J., Freer J., Han D., Wagener T., Nooijen R.R.P., Savenije H.H.G., Hrachowitz M., 2018, ‘Constraining conceptual hydrological models with multiple information sources’ Water Resources Research, 54 (10), https://doi.org/10.1029/2017WR021895
Pechlivanidis I.G., Gupta H., Bosshard T., 2018, ‘An information theory approach to identifying a representative subset of hydro-climatic simulations for impact modeling studies’, Water Resources Research, doi:10.1029/2017WR022035.
Krysanova, V., Vetter T., Eisner S., Huang S., Pechlivanidis I.G., Strauch M., Aich V., Arheimer B., Chamorro A., Gelfan A., van Griensven A., Kumar R., Kundu D., Lobanova A., Mishra V., Plötner S., Reinhardt J., Seidou O., Wang X., Wortmann M., Zeng X., Hattermann F.F., 2017, Intercomparison of regional-scale hydrological models and climate change impacts projected for 12 large river basins worldwide – A synthesis, Environ. Res. Lett., 12(10), doi:10.1088/1748-9326/aa8359.
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.
Pechlivanidis I.G., Arheimer B., Donnelly C., Hundecha Y., Huang S., Aich V., Samaniego L., Eisner S., Shi P., 2017, ‘Analysis of hydrological extremes at different hydro-climatic regimes under present and future conditions’, Clim. Change, 141, 467-481, doi:10.1007/s10584-016-1723-0.
Samaniego L., Kumar R., Breuer L, Chamorro A., Flörke M., Pechlivanidis I.G., Schäfer D., Shah H., Vetter T., Wortmann M., Zeng X., 2017, ‘Propagation of forcing and model uncertainty into hydrological drought characteristics in a multi-model century-long experiment in continental river basins’, Clim. Change, 141, 435-449, doi:10.1007/s10584-016-1778-y.
Vetter T., Reinhardt J., Flörke M., van Griensven A., Hattermann F., Huang S., Koch H., Pechlivanidis I.G., Plötner S., Seidou O., Buda S., Vervoort W., Krysanova V., 2017, ‘Evaluation of sources of uncertainty in projected hydrological changes under climate change in 12 large-scale river basins’, Clim. Change, 141, 419-433, doi:10.1007/s10584-016-1794-y.
Olsson, J., Pers B.C., Bengtsson L., Pechlivanidis I.G., Berg P., Körnich H., 2017, ‘Distance-dependent depth-duration analysis in high-resolution hydro-meteorological ensemble forecasting: A case study in Malmö City, Sweden’, Environ. Model. Softw., 93, 381–397, doi:10.1016/j.envsoft.2017.03.025.
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., Olsson J., Bosshard T., Sharma D., Sharma K.C., 2016, ‘Multi-basin modelling of future hydrological fluxes in the Indian subcontinent’, Water Journal, 8(5), 177, 1-21, doi: 10.3390/w8050177
Hundecha Y., Arheimer B., Donnelly C., Pechlivanidis I.G., 2016, ‘A regional parameter estimation scheme for a pan-European multi-basin model’, Journal of Hydrology: Regional Studies, doi: 10.1016/j.ejrh.2016.04.002
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
Pechlivanidis I.G., Olsson J., Sharma D., Bosshard T., Sharma K.C., 2015, ‘Assessment of the climate change impacts on the water resources of the Luni region, India’, Global NEST Journal, 17(1), 29-40
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., Anastasiadis S., Lekkas D.F., 2015, ‘Development and testing of the MWBMT toolbox to predict runoff response at the ungauged catchment of Mornos, Greece’, European Water, 49, 3-18.
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., Bosshard, T., Spångmyr, H., Lindström, G., Gustafsson, D., and Arheimer, B., 2014, ‘Uncertainty in the Swedish Operational Hydrological Forecasting Systems’, ASCE: Vulnerability, Uncertainty, and Risk, 253-262. doi: 10.1061/9780784413609.026
Anastasiadis S., Boglis A., Pechlivanidis I.G., Lekkas D.F., Baltas E., 2013, ‘Application of GIS-based Clark’s Unit hydrograph and transfer function model to describe runoff response in a small catchment - Case study: Lykoremma River, Greece’, Fresenius Environmental Bulletin, 22(7B), 2152-2158
Lekkas D.F., Pechlivanidis I.G., Onof C., 2012, ‘Foreword: Water Resources, Hydrology and Hydraulics: Bringing together recent developments in technology and applications’, Global NEST Journal, 14, ISSN: 1790-7632
Pechlivanidis I.G., Jackson B., McMillan H., Gupta H., 2012, ‘Using an informational entropy-based metric as a diagnostic of flow duration to drive model parameter identification’, Global NEST Journal, 14(3): 325-334
Pechlivanidis I.G., Jackson B., McIntyre N., Wheater H.S., 2011, ‘Catchment scale hydrological modelling: A review of model types, calibration approaches and uncertainty analysis methods in the context of recent developments in technology and applications’, Global NEST Journal, 13 (3): 193-214
Pechlivanidis I.G., McIntyre N., Wheater H.S., 2010, ‘Calibration of the semi-distributed PDM rainfall-runoff model in the Upper Lee catchment, UK’, Journal of Hydrology, 386 (1-4): 198-209
Conference Contributions
See the CV