Schalk Jan van Andel

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