- Senior Sustainability Scientist, Global Institute of Sustainability and Innovation
- Associate Research Scientist, Future H2O, Knowledge Enterprise Development
Dimitrios Stampoulis completed his MSc studies at the University of New Haven (UNH), where he gained substantial expertise in the applications of Geographical Information Systems (GIS) in Environmental Sciences. Learning how to efficiently handle and process the vast amounts of environmental observations introduced him to the Remote Sensing Science, which was the primary tool used for his hydrological studies conducted during his Ph.D. degree pursuit at the University of Connecticut (UConn). During this period, he obtained extensive knowledge and experience on studying and understanding the dynamic nature of the hydrologic cycle and its interactions with the environment. Upon completing his PhD studies, he was provided with the unique opportunity to work as a postdoctoral scholar at NASA’s Jet Propulsion Laboratory (JPL). There, he worked for three years where he developed a modeling framework that aims at improving food security in the countries of East Africa. Moreover, he also conducted eco-hydrological studies for the drought-burdened region of East Africa, focusing on the assessment of the hydro-ecological vulnerability of the region. Dimitrios then worked as an Assistant Research Scientist at the University of California-Los Angeles in collaboration with JPL, where he focused on building a high-resolution modeling system that enables data assimilation of the best available remotely sensed or ground-based hydrological observations to comprehensively map and quantify all freshwater resources available in all states west of the Continental Divide. Currently, as an Associate Research Scientist at the Arizona State University, he works on an interdisciplinary project that aims at enhancing agricultural land use decision making as well as informing the best water resources management practices and allocation in the context of climate and socio-economic changes.
- PhD, Environmental Engineering, University of Connecticut, 2014
- MSc, Environmental Sciences, University of New Haven, 2009
- BS and MSc, Department of Crop Science, Agricultural University of Athens, Greece, 2005
Stampoulis, D., H. G. Damavandi, D. Boscovic and J. Sabo. Using satellite remote sensing and machine learning techniques towards precipitation prediction and vegetation classification. Journal of Environmental Informatics DOI: 10.3808/jei.202000427. (link )
Stampoulis, D., J. T. Reager, C. H. David, K. M. Andreadis, J. S. Famiglietti, T. G. Farr, A. R. Transgrud, R. R. Basilio, J. L. Sabo, G. B. Osterman, P. R. Lundgren and Z. Liu. 2019. Model-data fusion of hydrologic simulations and GRACE Terrestrial Water Storage observations to estimate changes in water table depth. Advances in Water Resources 128(June):13-27. DOI: 10.1016/j.advwatres.2019.04.004. (link )
Behrangi, A., X. Yin, S. Rajagopal, D. Stampoulis and H. Ye. 2018. On distinguishing snowfall from rainfall using near‐surface atmospheric information: Comparative analysis, uncertainties and hydrologic importance. Quarterly Journal of the Royal Meteorological Society 144(S1):89-102. DOI: 10.1002/qj.3240. (link )
Andreadis, K. M., N. Das, D. Stampoulis, A. B. Ines, J. B. Fisher, S. Granger, J. Kawata, E. Han and A. Behrangi. 2017. The Regional Hydrologic Extremes Assessment System: A software framework for hydrologic modeling and data assimilation. PLOS One 12(5):e0176506. DOI: 10.1371/journal.pone.0176506. (link )
Andreadis, K. M., G. J. Schumann, D. Stampoulis, P. D. Bates, G. R. Brakenridge and A. J. Kettner. 2017. Can atmospheric reanalysis data sets be used to reproduce flooding over large scales?. Geophysical Research Letters 44(20):10,369-10,377. DOI: 10.1002/2017GL075502. (link )
Schumann, G. J., D. Stampoulis, A. M. Smith, C. C. Sampson, K. M. Andreadis, J. C. Neal and P. D. Bates. 2016. Rethinking flood hazard at the global scale. Geophysical Research Letters 43(19):10,249-10,256. DOI: 10.1002/2016GL070260. (link )
Stampoulis, D., K. M. Andreadis, S. Granger, J. B. Fisher, F. J. Turk, A. Behrangi, A. B. Ines and N. Das. 2016. Assessing hydro-ecological vulnerability using microwave radiometric measurements from WindSat. Remote Sensing of Environment 184(Oct):58-72. DOI: 10.1016/j.rse.2016.06.007. (link )
Haddad, Z. S., D. Stampoulis, L. Wilme, E. N. Anagnoston and L. Li. 2015. Quantifying the non-linearity of the response of Malagasy watersheds to precipitation anomalies. Akon'ny Ala 32:15-23. (link )
Mei, Y., E. N. Anagnoston, D. Stampoulis, E. I. Nikolopoulos, M. Borga and H. J. Vegara. 2014. Rainfall organization control on the flood response of mild-slope basins. Journal of Hydrology 510(Mar):565-577. DOI: 10.1016/j.jhydrol.2013.12.013. (link )
Stampoulis, D., Z. S. Haddad and E. N. Anagnoston. 2014. Assessing the drivers of biodiversity in Madagascar by quantifying its hydrologic properties at the watershed scale. Remote Sensing of Environment 148(May):1-15. DOI: 10.1016/j.rse.2014.03.005. (link )
Vergara, H., Y. Hong, J. J. Gourley, E. N. Anagnoston, V. Maggioni, D. Stampoulis and P. Kirstetter. 2014. Effects of resolution of satellite-bsed rainfall estimates on hydrologic modeling skill at different scales. Journal of Hydrometeorology 15(2):593-613. DOI: 10.1175/JHM-D-12-0113.1. (link )
Maggioni, V., H. Vergara, E. N. Anagnoston, J. J. Gourley, Y. Hong and D. Stampoulis. 2013. Investigating the applicabilityof error correction ensembles of satellite rainfall products in river flow simulations. Journal of Hydrometeorology 14(4):1194-1211. DOI: 10.1175/JHM-D-12-074.1. (link )
Stampoulis, D., E. N. Anagnoston and E. I. Nikolopoulos. 2013. Assessment of high-resolution satellite-based rainfall estimates over the Mediterranean during heavy precipitation events. Jounral of Hydrometeorology 14(5):1500-1514. DOI: 10.1175/JHM-D-12-0167.1. (link )
Stampoulis, D. and E. N. Anagnoston. 2012. Evaluation of global satellite rainfall products over continental Europe. Journal of Hydrometeorology 13(2):588-603. DOI: 10.1175/JHM-D-11-086.1. (link )
Stampoulis, D., S. K. Sinha and J. C. White. 2008. Assay-dependent phytoxicity of nanoparticles to plants. Environmental Science & Technology 43(24):9473-9479. DOI: 10.1021/es901695c. (link )
Haddad, Z. S., D. Stampoulis and E. N. Anagnoston. 2011. Quantifying the non-linearity of the response of the ecology of Malagasy watersheds to sustained precipitation anomalies. Poster presented at the 2011 NASA Carbon & Cycle Ecosystems Joint Science Workshop, (link )
Stampoulis, D. 2009. Assay-dependent phytoxicity of nanoparticles to plants. Poster presented at the 2009 International Conference on the Environmental Implications and Applications of Nanotechnology, Amherst, MA.
Stampoulis, D. 2018. Using satellite remote sensing to quantify the impact of groundwater on global dryland ecosystems’ resilience. Presentation at the 2018 American Geophysical Union (AGU) Fall Meeting, December 10-14, 2018, Washington, D.C.
Stampoulis, D., J. T. Reager, C. H. David, J. S. Famiglietti and K. M. Andreadis. 2017. High-resolution assimilation of GRACE terrestrial water storage observations to represent local-scale water table depths. Presentation at the 2017 American Geophysical Union Fall Meeting, 11-15 December 2017, New Orleans, LA.
Stampoulis, D., J. T. Reager, K. M. Andreadis and J. S. Famiglietti. 2016. Augmenting a large-scale hydrology model to reproduce groundwater variability. Presentation at the 2016 American Geophysical Union Fall Meeting, December 12-16, 2016, San Francisco, CA.
Stampoulis, D., K. M. Andreadis, S. Granger, J. B. Fisher, F. J. Turk, A. Behrangi, N. Das and A. B. Ines. 2015. Assessing hydro-ecological vulnerability from space. Presentation at the 2015 American Geophysical Union Fall Meeting, December 14-16, 2015, San Francisco, CA.
Stampoulis, D., K. M. Andreadis, S. Granger, J. B. Fisher, A. Behrangi, N. Das and F. J. Turk. 2014. Quantifying the resilience of vegetation and soil moisture during dry spells using satellite remote sensing. Presentation at the 2014 American Geophysical Union Fall Meeting, December 15-19, 2014, San Francisco, CA.
Stampoulis, D., Z. S. Haddad and E. N. Anagnoston. 2013. Radar-guided radiometer downscaling for combined TMI/PR soil moisture retrieval. Presentation at the 2013 American Geophysical Union Fall Meeting, December 9-13, 2013, San Francisco, CA.
Stampoulis, D., Z. S. Haddad, E. N. Anagnoston and L. Li. 2012. Quantifying the non-linearity of the response of Malagasy watersheds to precipitation anomalies. Presentation at the 2012 American Geophysical Union Fall Meeting, December 3-7, 2012, san Francisco, CA.