Edwin Sutanudjaja (1981) received his MSc (2008) in Water Management from Delft University of Technology (with distinction) and PhD (2012) in Physical Geography from Utrecht University. One of his achievements during his PhD research was to successfully develop a large-scale, physically-based and coupled land-surface (PCR-GLOBWB) and groundwater (MODFLOW) model of the Rhine-Meuse basin (200 000 km2) at 1 km resolution. He built this high resolution model by using only global datasets and simulated it using the Dutch Lisa Computing Cluster (https://surfsara.nl/systems/lisa). He calibrated this model by using spaceborne soil moisture remote sensing data.
Edwin now works as a post-doc at Department of Physical Geography, Utrecht University. One of his post-doc projects is eWaterCycle (http://www.ewatercycle.nl/), aiming at developing a high resolution global hydrological model, on the order of 1 km, allowing for a better representation of the effects of spatial heterogeneity in topography, vegetation and soil, as well as local processes on hydrological dynamics. His main task is to refactor and further develop the PCR-GLOBWB model to be more comprehensive (e.g. incorporating human interferences), as well as scalable and suitable for high performance computing environments (e.g. the Dutch Cartesius super computer: https://surfsara.nl/systems/cartesius).
The complete CV can be downloaded from: http://goo.gl/qptgHf
de Graaf, I. E. M., Sutanudjaja, E. H., van Beek, L. P. H., & M. F. P. Bierkens (2014), A high resolution global scale groundwater model. Hydrology and Earth System Sciences – Discussions. http://dx.doi.org/10.5194/hessd-11-5217-2014
Sutanudjaja, E. H., van Beek, L. P. H., de Jong, S. M., van Geer, F. C., & M. F. P. Bierkens (2014), Calibrating a large-extent highresolution coupled groundwater-land surface model using soil moisture and discharge data. Water Resources Research 50, 68–705. http://dx.doi.org/10.1002/2013WR013807
Sutanudjaja, E. H., de Jong, S. M., van Geer, F. C., & M. F. P. Bierkens (2013), Using ERS spaceborne microwave soil moisture observations to predict groundwater head in space and time. Remote Sensing of Environment, 138, 172–188. http://dx.doi.org/10.1016/j.rse.2013.07.022
Sutanudjaja, E. H.. (2012), The use of soil moisture – remote sensing products for large-scale groundwater modeling and assessment. Utrecht Studies in Earth Sciences (025), PhD thesis, Utrecht University. http://dspace.library.uu.nl/handle/1874/257550
Sutanudjaja, E. H., van Beek, L. P. H., de Jong, S. M., van Geer, F. C., & M. F. P. Bierkens (2012), Calibrating a large-scale groundwater model using spaceborne remote sensing products: a test-case for the Rhine-Meuse basin. IAHS-AISH Publication, 355, 54–61.
Sutanudjaja, E. H., van Beek, L. P. H., de Jong, S. M., van Geer, F. C., & M. F. P. Bierkens (2011), Large-scale groundwater modeling using global datasets: A test case for the RhineMeuse basin. Hydrology and Earth System Sciences, 15 (9), 2913–2935. http://dx.doi.org/10.5194/hess-15-2913-2011