Koukoula, M., Nikolopoulos, E.I., Kushta, J., Bartsotas, N.S., Kallos, G. and Anagnostou, E.N., 2019. A Numerical Sensitivity Analysis of Soil Moisture Feedback on Convective Precipitation. Journal of Hydrometeorology, 20(1), pp.23-44.
Lakew, H.B., Moges, S.A., Anagnostou, E.N., Nikolopoulos, E.I. and Asfaw, D.H., 2019. Evaluation of Global Water Resources Reanalysis Runoff Products for Local Water Resources Applications: Case Study-Upper Blue Nile Basin of Ethiopia. Water Resources Management, pp.1-21.
McGraw, D., E.I. Nikolopoulos, F. Marra, E.N. Anagnostou. Precipitation frequency analyses based on radar estimates: An evaluation over the contiguous United States. Journal of Hydrology (in press)
Anagnostou, M., Nikolopoulos, E., Kalogiros, J., Anagnostou, E., Marra, F., Mair, E., Bertoldi, G., Tappeiner, U. and Borga, M., 2018. Advancing Precipitation Estimation and Streamflow Simulations in Complex Terrain with X-Band Dual-Polarization Radar Observations. Remote Sensing, 10(8), p.1258.
Bartsotas, N. S., Anagnostou, E. N., Nikolopoulos, E. I., & Kallos, G. (2018). Investigating satellite precipitation uncertainty over complex terrain. Journal of Geophysical Research: Atmospheres.
Bhuiyan, M.A.E., Nikolopoulos, E.I., Anagnostou, E.N., Quintana-Seguí, P., Barella-Ortiz, A., 2018: A nonparametric statistical technique for combining global precipitation datasets: Development and hydrological evaluation over the Iberian Peninsula Hydrology and Earth System Sciences 22(2), pp. 1371-1389
Cioni, G., Cerrai, D., Klocke, D., 2018. Investigating the predictability of a Mediterranean Tropicallike Cyclone using a non-hydrostatic high-resolution model. Quarterly Journal of the Royal Meteorological Society. In Press.
O. Tzoraki, Z. Dokou, G. Christodoulou, P. Gaganis, G.P. Karatzas (2018) Assessing the efficiency of a coastal Managed Aquifer Recharge (MAR) system in Cyprus, Science of the Total Environment, 626, 875-886; doi.org/10.1016/j.scitotenv.2018.01.160
Derin, Y., Anagnostou E., Anagnostou M. N., Kalogiros J., Casella D., Marra A. C., Panegrossi G., and Sano P., 2018: Passive Microwave Rainfall Error Analysis Using High-Resolution X-Band Dual-Polarization Radar Observations in Complex Terrain. IEEE Transactions on Geoscience and Remote Sensing, 56:5, 2565-2586; 10.1109/TGRS.2017.2763622
Dis, M.O., Anagnostou, E., Mei, Y., 2018: Using high-resolution satellite precipitation for flood frequency analysis: case study over the Connecticut River Basin Journal of Flood Risk Management 11, pp. S514-S526
Erlingis, J.M., Gourley, J.J., Kirstetter, P.-E., Anagnostou, M.N., Petersen, W., 2018: Evaluation of operational and experimental precipitation algorithms and microphysical insights during iphex Journal of Hydrometeorology 19(1), pp. 113-125
Hardesty, S., Shen, X., Nikolopoulos, E. and Anagnostou, E., 2018. A Numerical Framework for Evaluating Flood Inundation Hazard under Different Dam Operation Scenarios—A Case Study in Naugatuck River Water, 10(12), p.1798.
Marra, F., Nikolopoulos, E. I., Anagnostou, E. N., & Morin, E. (2018). Metastatistical Extreme Value analysis of hourly rainfall from short records: estimation of high quantiles and impact of measurement errors. Advances in Water Resources.
Nikolopoulos, E.I., Destro, E., Bhuiyan, M.A.E., Borga, M. and Anagnostou, E.N., 2018. Evaluation of predictive models for post-fire debris flow occurrence in the western United States. Natural Hazards and Earth System Sciences, 18(9), pp.2331-2343.
Wanik, D.W., Anagnostou, E.N., Astitha, M., Hartman, B.M., Lackmann, G.M., Yang, J., Cerrai, D., He, J. and Frediani, M.E.B., 2018. A Case Study on Power Outage Impacts from Future Hurricane Sandy Scenarios. Journal of Applied Meteorology and Climatology, 57(1), pp.51-79.
Wanik, D., Anagnostou, E., Hartman, B., Layton, T., 2018: Estimated Time of Restoration (ETR) Guidance for Electric Distribution Networks Journal of Homeland Security and Emergency Management 15(1),20160063
Zhang X., E.N. Anagnostou and C. Schwartz, 2018: NWP-Based Adjustment of IMERG Precipitation for Flood-Inducing Complex Terrain Storms: Evaluation over CONUS. Remote Sensing, 10(4), 642