Assistant Professor, Environmental and Water Resources Engineering
Telephone: (703) 993-5117
1413 Nguyen Engineering Building
- Ph.D., Environmental Engineering, University of Connecticut, 2012
- M.S., Environmental Engineering, Politecnico di Milano, Italy, 2006
- B.S., Environmental Engineering, Politecnico di Milano, Italy, 2003
Environmental and Water Resources Engineering
Remote sensing applications in atmospheric and hydrologic science, uncertainty analysis, land data assimilation systems, land surface modeling.
Dr. Viviana Maggioni is an Assistant Professor of Environmental and Water Resources Engineering. She is also a Visiting Research Associate at the Earth System Science Interdisciplinary Center at the University of Maryland. Her research interests lie at the intersection of hydrometeorology and remote sensing. In particular, she is interested in the application of remote sensing techniques to estimate and monitor hydrological variables. She studies how to improve those retrieval techniques and to enhance estimates of their associated uncertainties. This work has direct applications in water resources management, weather and climate prediction, as well as agriculture and irrigation practices.
Maggioni V., M.R.P. Sapiano, R.F. Adler , Y. Tian, G.J. Huffman, 2014: An Error Model for Uncertainty Quantification in High-Time Resolution Precipitation Products, Journal of Hydrometeorology, in press.
Maggioni V., H.J. Vergara, E.N. Anagnostou, J.J. Gourley, Y. Hong, and D. Stampoulis, 2013: Investigating the Applicability of Error Correction Ensembles of Satellite Rainfall Products in River Flow Simulations. J. Hydrometeor, 14, 1194–1211, doi: http://dx.doi.org/10.1175/JHM-
Maggioni, V., R.H. Reichle, and E.N. Anagnostou, 2012: The efficiency of assimilating satellite soil moisture retrievals in a land data assimilation system using different rainfall error models, Expedited Contributions – Journal of Hydrometeorology, Vol. 14, No. 1, 368-374, doi: /10.1175/JHM-D-12-0105.1.
Maggioni, V., E.N. Anagnostou, and R.H. Reichle, 2012: The impact of land model structural, parameter, and forcing errors on the characterization of soil moisture uncertainty, Hydrology and Earth System Sciences, 16, 3499-3515.
Maggioni, V., R.H. Reichle, and E.N. Anagnostou, 2012: The impact of rainfall error characterization on the estimation of soil moisture fields in a land data assimilation system, Journal of Hydrometeorology, 13, 1107-1118, doi: 10.1175/JHM-D-11-0115.1.
Maggioni, V., R.H. Reichle, and E.N. Anagnostou, 2011: The effect of satellite-rainfall error modeling on soil moisture prediction uncertainty, Journal of Hydrometeorology, 12, 413-428, doi: 10.1175/2011JHM1355.1.
Anagnostou, E.N., V. Maggioni, E.I. Nikolopoulos, T. Meskele, and F. Hossain, 2010: Benchmarking high-resolution global satellite rain products to radar and rain gauge rainfall estimates, IEEE Transactions on Geosciences and Remote Sensing, Vol. 48, No 4, pp. 1667-1683.
Maggioni, V., R. Panciera, J.P. Walker, M. Rinaldi and V. Paruscio, 2006: A Multi-Sensor Approach for High Resolution Airborne Soil Moisture Mapping, 30th Hydrology and Water Resources Symposium [CD-ROM]. The Institute of Engineers Australia, Launceston, Australia, 4-8 December, 2006, 6pp.