
Schalk Jan van Andel
Associate Professor of Hydroinformatics
Biography
Dr. Schalk Jan van Andel is associate professor of Hydroinformatics. His main research interests include hydrological ensemble prediction, anticipatory water management, and flood forecasting, early warning and control. To contribute to these areas, he focuses on coupling meteorological and hydrological data and models, developing hindcast and probabilistic (ensemble based) verification and evaluation methods, decision support with risk based decision rules, and optimisation of anticipatory water management strategies.
Join the hydrologic ensemble prediction community at www.hepex.org
Publications
Book chapters
Zappa M., van Andel S.J., Cloke H.L. (2019): Introduction to Ensemble Forecast Applications and Showcases. In: Duan Q., Pappenberger F., Wood A., Cloke H., Schaake J. (eds) Handbook of Hydrometeorological Ensemble Forecasting. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39925-1_45
Pappenberger F. et al. (2019): Hydrological Ensemble Prediction Systems Around the Globe. In: Duan Q., Pappenberger F., Wood A., Cloke H., Schaake J. (eds) Handbook of Hydrometeorological Ensemble Forecasting. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39925-1_47
Special issue
Cloke H.L., Pappenberger F., van Andel S.J., Schaake J., Thielen J., Ramos M.H. (eds.) (2013): Hydrological Ensemble Prediction Systems (HEPS). Special Issue of Hydrological Processes, Volume 27, Issue 1, Pages i–ii, 1–163
International peer-reviewed papers
Bayissa, Y.A., Tadesse, T., Svoboda, M., Wardlow B.D., Poulsen C., Swigart, J., Van Andel, S.J. (2019): Developing a satellite-based combined drought indicator to monitor agricultural drought: a case study for Ethiopia. GIScience and Remote Sensing 56(5), pp. 718-748
Bayissa Y.A., Maskey S., Tadesse T., van Andel S.J., Moges S.A., van Griensven A., Solomatine D.P (2018): Comparison of the performance of six drought indices in characterizing historical drought for the Upper Blue Nile Basin, Ethiopia, Geosciences 8 (3), 81
Hartanto I.M., van der Kwast J., Alexandridis T.K., Almeida W., Song Y., van Andel S.J., Solomatine D.P. (2017): Data assimilation of satellite-based actual evapotranspiration in a distributed hydrological model of a controlled water system. Int. J. Appl. Earth Obs., 2017, 57, 123–135
Louise Arnal, Maria-Helena Ramos, Erin Coughlan de Perez, Hannah Louise Cloke, Elisabeth Stephens, Fredrik Wetterhall, Schalk Jan van Andel, and Florian Pappenberger (2016): Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game. Hydrol. Earth Syst. Sci., 20, 3109-3128
Y Hu, MJ Schmeits, S Jan van Andel, JS Verkade, M Xu, DP Solomatine (2016): A Stratified Sampling Approach for Improved Sampling from a Calibrated Ensemble Forecast Distribution. Journal of Hydrometeorology 17 (9), 2405-2417
TK Alexandridis, I Cherif, G Bilas, WG Almeida, IM Hartanto, SJ van Andel (2016): Spatial and Temporal Distribution of Soil Moisture at the Catchment Scale Using Remotely-Sensed Energy Fluxes. Water 8 (1), 32
Bayissa Y.A., Moges S.A., Xuan Y., van Andel S.J., Maskey S., Solomatine D.P., van Griensven A., Tadesse T. (2015): Spatio-temporal assessment of meteorological drought under the influence of varying record length: the case of Upper Blue Nile Basin, Ethiopia. Hydrological Sciences Journal, DOI: 10.1080/02626667.2015.1032291
Van Andel S.J., Stavrinos E., van der Zwan R.E., Alexandridis T.K. (2015): Earth Observation and DSS Technical Support Tools for Operational Water Management: User's Feedback on MyWater Project. Agriculture and Agricultural Science Procedia, 4, 232-241
Crochemore L., Ramos M.-H., Pappenberger F., van Andel S.J., Wood A. (2015): An experiment on risk-based decision-making in water management using monthly probabilistic forecasts. Bull. Amer. Meteor. Soc., doi:10.1175/BAMS-D-14-00270.1, in press
Van Andel S.J., Price R., Lobbrecht A., van Kruiningen F., Mureau R., Cordero W. (2014): Framework for Anticipatory Water Management. J. Water Resour. Plann. Manage., Vol. 140, p 533-542., doi: 10.1061/(ASCE)WR.1943-5452.0000254.
Ramos M.H., van Andel S.J., Pappenberger F. (2013): Do probabilistic forecasts lead to better decisions? Hydrol. Earth Syst. Sci. 17 (6) , p. 2219-2232
Pappenberger F., Stephens E., Thielen J., Salamon P., Demeritt D., van Andel S.J., Wetterhall F., Alfieri L., (2013): Visualizing probabilistic flood forecast information: expert preferences and perceptions of best practice in uncertainty communication. Hydrological Processes, Volume 27, Issue 1 , p 132–146, DOI: 10.1002/hyp.9253
Van Andel S.J., Weerts A., Schaake J., Bogner K. (2013): Post-processing hydrological ensemble predictions intercomparison experiment. Hydrological Processes, Volume 27, Issue 1 , p 158–161, DOI: 10.1002/hyp.9595
Seyoum M., van Andel S.J., Xuan Y., Amare K. (2013): Precipitation forecasts for rainfall runoff predictions. A case study in poorly gauged Ribb and Gumara catchments, upper Blue Nile, Ethiopia. Phys. and Chem. of the Earth, Parts A/B/C, Volumes 61–62, Pages 43–51
Jonoski A., Almoradie A., Khan K., Popescu I., Andel S.J. van, 2012: Google Android mobile phone applications for water quality information management, Journal of Hydroinformatics, DOI:10.2166/hydro.2012.147
Popescu I., Archetti F., Andel S.J. van, Giordani I., 2012: Lenvis: a user centric, web services based system to retrieve, analyze and deliver environmental and health information, Environmental Engineering and Management Journal, May 2012, Vol. 11, No. 5, 887-1044, http://omicron.ch.tuiasi.ro/EEMJ/pdfs/vol11/no5/2_773_Popescu_11.pdf
Andel S.J. van, Price R.K., Lobbrecht A.H., Kruiningen F. van, 2010: Modelling controlled water systems, J. Irrigation and Drainage Engineering, Vol. 136, No. 6, June 2010, 392-404, DOI:10.1061/(ASCE)IR.1943-4774.0000159
Popescu I., Jonoski A., Andel S.J. van, Onyari E., Quiroga V.G.M., 2010: Integrated modelling for flood risk mitigation in Romania: case study of the Timis–Bega river basin, Int. J. of River Basin Management, Vol. 8, Issue 3 and 4, 269-280, DOI/abs/10.1080/15715124.2010.512550
Akhtar M.K., Corzo G.A., Andel S.J. van, Jonoski A., 2009: River flow forecasting with artificial neural networks using satellite observed precipitation pre-processed with flow length and travel time information: case study of the Ganges river basin, Hydrology and Earth System Sciences, 13, 1607-1618, DOI:10.5194/hess-13-1607-2009
Andel S.J. van, Lobbrecht A.H., Price R.K., 2008: Rijnland case study: hindcast experiment for anticipatory water-system control, Atmospheric Science Letters, Vol. 9, No 2, 57-60, DOI: 10.1002/asl.178
Andel S.J. van, Price R.K., Lobbrecht A.H., Kruiningen F. van, Mureau R., 2008: Ensemble Precipitation and Water-Level Forecasts for Anticipatory Water-System Control, J. Hydrometeorology, 9, 776-788, DOI: http://dx.doi.org/10.1175/2008JHM971.1
PhD thesis
Andel, S.J. van, 2009: Anticipatory Water Management: Using ensemble weather forecasts for critical events, 182 pp., CRC press/Balkema, Leiden, ISBN: 978-0-415-57380-1
Journal of the Dutch water sector
Lobbrecht A.H., Kolic S., ten Harkel M., van Andel S.J., 2012: Waterinformatie delen via open portals, H2O, H2O/13-2012, p.14-15, http://www.vakbladh2o.nl/algemeen/pdf/h2o/20120622074515.pdf