Lu,Q., Zhang, W., Bagtzoglou, A. “Physics-Based Reliability Assessment of Community-Based Power Distribution System using Synthetic Hurricanes”, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, (under 2nd round review)

Lu,Q., Zhang, W. “Integrating Dynamic Bayesian Network and Physics-based Modeling for Risk Analysis of a Time-Dependent Power Distribution System during Hurricanes”, Reliability Engineering and System Safety, (under 2nd round review)

Hughes, W., Zhang, W., Bagtzoglou, A., Wanik, D., Pensado, O, Yuan, H., Zhang, J. (2021). “Damage Modeling Framework for Resilience Hardening Strategy for Overhead Power Distribution Systems”. Reliability Engineering and System Safety, Vol. 207, March 2021, 107367. Link.

Ma, X., Zhang, W., Bagtzoglou, A., Zhu, J. (2021). “A Local System Modeling Method for Resilience Assessment of Overhead Power Distribution System under Strong Winds”. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7 (1) (March 2021). Link.

Kloster, D.P, A.T. Morzillo, B.J. Butler, T. Worthley, and J.C. Volin. Amenities, disamenities, and decision-making in the residential forest: an application of the means-end chain theory to roadside trees. Urban Forestry & Urban Greening. In press. https://doi.org/10.1016/j.ufug.2021.127348 [Available online]

DiFalco, S., and A.T. Morzillo. 2021. Comparison of attitudes toward roadside vegetation management across an exurban landscape. [Special issue: Science-policy gaps and their impact on landscape-scale management of natural disasters] Land 10:308. doi: https://doi.org/10.3390/land10030308 [Available online]

Yang, F., Cerrai, D. and Anagnostou, E.N., 2021. The Effect of Lead-Time Weather Forecast Uncertainty on Outage Prediction Modeling. Forecasting, 3(3), pp.501-516.

Capecchi, V., Antonini, A., Benedetti, R., Fibbi, L., Melani, S., Rovai, L., Ricchi, A. and Cerrai, D., 2021. Assimilating X-and S-band Radar Data for a Heavy Precipitation Event in Italy. Water, 13(13), p.1727.

Udawalpola, M.R.; A. Hasan, A.K. Liljedhal, A. Soliman, C. Witharana. 2021. An Optimal GeoAI Workflow for Pan-Arctic Permafrost Feature Detection from High-Resolution Satellite Imagery. Journal of Photogrammetric Engineering and Remote Sensing (In press).

Hasan, A., M.R. Udawalpola, A. K. Liljedhal, C. Witharana. 2021. Understanding the effect of image augmentation methods on automated recognition of permafrost features from high-resolution satellite imagery. Journal of Photogrammetric Engineering and Remote Sensing. (In-press)

Witharana C., M. A. E. Bhuyian, A.K. Liljedahl, M. Kanevsky, T, Jorgenson, B. M. Jones, R. Daanen, H.E. Epstein, C. G. Griffin, K. Kent, M. K. Ward Jones. 2021. An object-based approach for mapping tundra ice-wedge polygon troughs from very high spatial resolution optical satellite imagery. Remote Sensing 13(4). DOI: https://doi.org/10.3390/rs13040558.

Emmanouil, S., E. I. Nikolopoulos, B. François, Brown, and E. N. Anagnostou. 2021. “Evaluating Existing Water Supply Reservoirs as Small-Scale Pumped Hydroelectric Storage Options: A Case Study in Connecticut.” Energy 226 (July 1). Link.

Emmanouil, S., J. Philhower, S. Macdonald, K. Khadim, M. Yang, E. Atsbeha, H. Nagireddy, Roach, E. Holzer, and E. N. Anagnostou. 2021. “A Comprehensive Approach to the Design of a Renewable Energy Microgrid for Rural Ethiopia: The Technical and Social Perspectives.” Sustainability 13 (7): 3974. Link.

Gallaher, A., M. Graziano, and M. Fiaschetti. Forthcoming. “Spatial Analysis of Grid Optimization in Connecticut: Quantifying the Relationship between Tree-Trimming Operations and Tree Related Power Outages.” Energy Policy.

Hughes, W., W. Zhang, A. Bagtzoglou, Wanik, O. Pensado, H. Yuan, and J. Zhang. “Damage Modeling Framework for Resilience Hardening Strategy for Overhead Power Distribution Systems. Reliability Engineering and System Safety 207 (March), art. 107367.

Khanam, M., G. Sofia, M. Koukoula, R. Lazin, I. Nikolopoulos, X. Shen, and E. N. Anagnostou. 2021. “Impact of Compound Flood Event on Coastal Critical Infrastructures Considering Current and Future Climate.” Natural Hazards and Earth Systems Sciences 21:1–19. Link.

Lazin, R., X. Shen, and E. N. Anagnostou. Forthcoming. “Predicting Flood Damaged Crop Lands Using Convolutional Neural Network (CNN).” Environmental Research Letter.

Li, X., P. Mitsopoulos, Y. Yin, and M. Peña. 2021. “SARAL-AltiKa Wind and Significant Wave Height for Offshore Wind Energy Applications in the New England Region.” Remote Sensing 13 (1): 57. Link.

Ma, X., W. Zhang, A. Bagtzoglou, and J. Zhu. “A Local System Modeling Method for Resilience Assessment of Overhead Power Distribution System under Strong Winds.” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 7 (1).

Shen, X., C. Cai, Q. Yang, E. N. Anagnostou, and Li. 2021. “COVID-19 Pandemic in the Flood Season.” Science of the Total Environment 755, part 2, art. 142634, DOI:10.1016/j.scitotenv.2020.142634.

Walters, M. S., J. Yang, and M. Astitha. Forthcoming. “Winter Weather Prediction Accuracy for Impactful Snowfall Events in the NE US.” Weather and Forecasting.

Yang, Q., X. Shen, E. Anagnostou, J. Eggleston, and A. Kettner. 2021. “An Unprecedented High-Resolution Inundation Dataset Delineated from SAR over the CONUS—from 2016 to Present.” Bulletin of the American Meteorological Society. Published online February 18, 2021. Link.

Zongjie Wang, C.L. Anderson, 2021. “Simulation case studies on an advanced sensitivity analysis for new extended bus types in the modern power systems”, Winter Simulation Conference(WSC). (Accepted)

H. T. Nguyen, M. N. Chleirigh and G. Yang, “A Technical & Economic Evaluation of Inertial Response from Wind Generators and Synchronous Condensers,” IEEE Access, 2021. Doi: 10.1109/ACCESS.2021.3049197.

H.T. Nguyen, D. V. Pombo, and H. W. Bindner, “Frequency Stability Assessment for the Future Power System of São Vicente Island,” ISGT-Europe 2021 conference.

Wang, H. T. Nguyen, Ching-Chuan Tseng, Anton V. Prokhorov, Hazlie Mokhlis, Kein Huat Chua, and Manoj Tripathy, “Damping Improvement of a Large-scale Offshore Wind Farm Fed to a Multimachine Power System Using a Generalized Unified Power-Flow Controller,” 2021 IEEE Industry Applications Society Annual Meeting.

Emmanouil, S., A. Langousis, E. I. Nikolopoulos, and E. N. Anagnostou, An ERA-5 derived CONUS-wide high-resolution precipitation dataset based on an advanced parametric statistical downscaling framework. Water Resources Research, Volume57, Issue6, June 2021, e2020WR029548

Koukoula, M., C. Schwartz, E. Nikolopoulos, E.N. Anagnostou, Evaluation of soil state representation in the NCAR Ensemble’s continuously-cycling limited-area data assimilation system. Journal of Hydrology, Volume 601, October 2021, 126617.

Koukoula, M., C. Schwartz, E. Nikolopoulos, E.N. Anagnostou, Understanding the impact of soil moisture on precipitation under different climate and meteorological conditions: A numerical sensitivity study over the CONUS. JGR-Atmospheres, 2021 (forthcoming).

Watson, P., M. Koukoula, E.N. Anagnostou, Influence of the Characteristics of Weather Information in a Thunderstorm-Related Power Outage Prediction System, Forecasting 2021, 3(3), 541-560; https://doi.org/10.3390/forecast3030034 (feature article).

Li, Xuan, Zhang, W. (2020) “Long-term assessment of a floating offshore wind turbine under environmental conditions with multivariate dependence structures”, Renewable Energy, Volume 147, Part 1, 2020, Pages 764-775, ISSN 0960-1481. Link.

Alpay, B., D. Wanik, P. Watson, D. Cerrai, Liang, and E. N. Anagnostou. 2020. “Dynamic Modeling of Power Outages Caused by Thunderstorms.” Forecasting 2 (2): 151–62. Link.

Bhuiyan, M. A. E., C. Witharana, and K. Liljedahl. 2020. “Use of Very High Spatial Resolution Commercial Satellite Imagery and Deep Learning to Automatically Map Ice-Wedge Polygons across Tundra Vegetation Types.” Journal of Imaging 6 (12): 137.

Bhuiyan, M. A. E., C. Witharana, A. K. Liljedahl, M. Jones, R. Daanen, H. E. Epstein, K. Kent, C. G. Griffin, and A. Agnew. 2020. “Understanding the Effects of Optimal Combination of Spectral Bands on Deep Learning Model Predictions: A Case Study Based on Permafrost Tundra Landform Mapping Using High Resolution Multispectral Satellite Imagery.” Journal of Imaging 6 (9): 97.

Cao, Yang, T. Shahsavarian, E. N. Anagnostou, and R. Kalbfleisch. 2020. “Novel Modulated Equivalent Model of Point-to-Point LCCBased High Voltage AC/DC/AC System for Geomagnetic Storm-Induced Unbalanced Harmonic Studies.” International Journal of Electrical Power and Energy Systems 122 (November), art. 106173.

Cerrai, D., M. Koukoula, P. Watson, and N. Anagnostou. 2020. “Outage Prediction Models for Snow and Ice Storms.” Sustainable Energy, Grids and Networks 21, art. 100294. Link.

Che-Castaldo, J., O. R. Jones, B. E. Kendall, H. Burns, D. Z. Childs, T. H. G. Ezard, Hernandez-Yanez, D. J. Hodgson, Jongejans, T. Knight, C. Merow, S. Ramula, Stott, Y. Vindenes, H. Yokomizo, and Salguero-Gómez. 2020. “Comments to ‘Persistent Problems in the Construction of Matrix Population Models.’” Ecological Modelling 416, art. 10891. Link.

Couvreux, F., E. Bazile, Q. Rodier, B. Maronga, Matheou, M. J. Chinita, J. Edwards, J. H. van Stratum, C. C. van Heerwaarden, Huang, A. F. Moene, A. Cheng, Fuka, S. Basu, E. Bou-Zeid, G. Canut, and E. Vignon. 2020. “Intercomparison of Large-Eddy Simulations of the Antarctic Boundary Layer Challenged by Very Stable Stratification.” Boundary Layer Meteorology 176: 369–400.

Emmanouil, S., A. Langousis, E. I. Nikolopoulos, and E. N. Anagnostou. 2020. “Quantitative Assessment of Annual Maxima, Peaks-over-Threshold (PoT) and Multifractal Parametric Approaches in Estimating Intensity-Duration-Frequency (IDF) Curves from Short Rainfall Records.” Journal of Hydrology 589, art. 125151. Link.

Hale, D. C., and A. T. Morzillo. 2020. “Landscape Characteristics and Social Factors Influencing Attitudes toward Roadside Vegetation Management.” Landscape Ecology 39:2029–44. Link.

Hannah, L., P. R. Roehrdanz, P. A. Marquet, J. Enquist, G. Midgley, W. Foden, J. C. Lovett, T. Corlett, D. Corcoran, S. H. M. Butchart, B. Boyle, X. Feng, B. Maitner, J. Fajardo, B. J. McGill, Merow, N. Morueta–Holme, E. A. Newman, S. Park, N. Raes, and J.-C. Svenning. 2020. “30% Land Conservation and Climate Action Reduces Tropical Extinction Risk by More than 50%.” Ecography 43 (7): 943–53.

Hu, L., E. I. Nikolopoulos, F. Marra, and N. Anagnostou. 2020. “Sensitivity of Flood Frequency Analysis to Data Record, Statistical Model, and Parameter Estimation Methods: An Evaluation over the Contiguous United States.” Journal of Flood Risk Management 13 (1). Link.

Hu, L., E. Nikolopoulos, F. Marra, E. Morin, Marani, and E. Anagnostou. 2020. “Evaluation of MEVD-Based Precipitation Frequency Analyses from Quasi-Global Precipitation Datasets against Dense Rain Gauge Networks.” Journal of Hydrology 590, art. 125564. Link.

Kloster, D. P., A. T. Morzillo, J. C. Volin, and E. Worthley. 2020. “Tree Crew Perspectives on Wood Product Recovery from Utility Vegetation Management.” Arboriculture and Urban Forestry 46:197–209.

Lazin, R., X. Shen, M. Koukoula, and N. Anagnostou. 2020. “Evaluation of the Hyper-Resolution Model-Derived Water Cycle Components over the Upper Blue Nile Basin.” Journal of Hydrology 590 (November), art. 125231. Link.

Matheou, G., A. B. Davis, and J. Teixeira. 2020. “The Spiderweb Structure of Stratocumulus Clouds.” Atmosphere 11 (7): 730.

Merow, C., and M. C. Urban. 2020. “Seasonality and Uncertainty in Global COVID-19 Growth Rates.” Proceedings of the National Academy of Sciences 117 (44): 27456–64.

Ortiz-Rodríguez, I. A., J. Raventós, E. Mújica, González-Hernández, E. Vega-Peña, Ortega-Larrocea, A. Bonet, and C. Merow. “Spatiotemporal Effects of Hurricane Ivan on an Endemic Epiphytic Orchid: 10 Years of Follow-Up.” Plant Ecology & Diversity 13 (1): 29–45.

Shen, X., C. Cai, and H. Li. 2020. “Socioeconomic Restrictions Slowdown COVID-19 Far More Effectively than Favorable Weather: Evidence from the Satellite.” Science of the Total Environment 748, art. 141401. Link.

Sofia, G., and E. I. Nikolopoulos. 2020. “Floods and Rivers: A Circular Causality Perspective.” Scientific Reports 10, art. 5175. Link.

Taylor, W., M. Anagnostou, D. Cerrai, and Anagnostou. 2020. “Machine Learning Methods to Approximate Rainfall and Wind from Acoustic Underwater Measurements.” IEEE Transactions on Geoscience and Remote Sensing. Link.

Trisos, C. H., C. Merow, and A. L. Pigot. 2020. “The Projected Timing of Abrupt Ecological Disruption from Climate Change.” Nature 580 (7804): 496–501.

Walsh, T., D. Wanik, E. Anagnostou, andMellor. 2020. “Estimated Time to Restoration of Hurricane Sandy in a Future Climate.” Sustainability 12 (16): 6502. Link.

Watson, P., D. Cerrai, M. Koukoula, D. Wanik, and E. Anagnostou. 2020. “Weather-Related Power Outage Model with a Growing Domain: Structure, Performance, and Generalizability.” Journal of Engineering 10:817–26. Link.

Yang, F., D. Cerrai, M. Koukoula, and N. Anagnostou. 2020. “Quantifying Uncertainty in Machine Learning–Based Power Outage Prediction Model Training: A Tool for Sustainable Storm Restoration.” Sustainability 12 (4): 1525. Link.

Yang F., P. Watson, M. Koukoula, and N. Anagnostou. 2020. “Enhancing Weather-Related Power Outage Prediction by Event Severity Classification.” IEEE Access 8:60029–42. Link.

Witharana, C., M. A. E. Bhuiyan, and A. K. Liljedahl. 2020. “Big Imagery and High Performance Computing as Resources to Understand Changing Arctic Polygonal Tundra.” International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 44:111–16.

Witharana, C., M. A. E. Bhuiyan, A. K. Liljedahl, M. Kanevskiy, H. E. Epstein, B. M. Jones, R. Daanen, C. G. Griffin, K. Kent, and K. W. Jones. 2020. “Understanding the Synergies of Deep Learning and Data Fusion of Multispectral and Panchromatic High Resolution Commercial Satellite Imagery for Automated Ice-Wedge Polygon Detection.” ISPRS Journal of Photogrammetry and Remote Sensing 170:174–91.

Zhu, Z., J. Zhang, Z. Yang, A. H. Aljaddani, B. Cohen, S. Qiu, and C. Zhou. 2020. “Continuous Monitoring of Land Disturbance Based on Landsat Time Series.” Remote Sensing of Environment 238 (March), art. 111116.

Zurell, D., J. Franklin, C. König, P. J. Bouchet, F. Dormann, J. Elith, G. Fandos, Feng, G. Guillera–Arroita, A. Guisan, J. Lahoz–Monfort, P. J. Leitão, D. S. Park, T. Peterson, G. Rapacciuolo, D. R. Schmatz, Schröder, J. M. Serra–Diaz, W. Thuiller, L. Yates, N. E. Zimmermann, and C. Merow. “A Standard Protocol for Reporting Species Distribution Models.” Ecography 43 (9): 1261–77.

Bhuiyan, M. A. E., E. I. Nikolopoulos, and N. Anagnostou. 2019. “Machine Learning–Based Blending of Satellite and Reanalysis Precipitation Datasets: A Multi-Regional Tropical Complex Terrain Evaluation.” Journal of Hydrometeorology 20 (11). Link.

Bhuiyan, M. A. E., E. I. Nikolopoulos, N. Anagnostou, J. Polcher, C. Albergel, Dutra, G. Fink, A. Martinez de la Torre, and Munier. 2019. “Assessment of Precipitation Error Propagation in Multi-Model Global Water Resources Reanalysis.” Hydrology and Earth System Sciences 23:1973–94. Link. 

Cerrai, D., P. Watson, and E. N. Anagnostou. “Assessing the Effects of a Vegetation Management Standard on Distribution Grid Outage Rates.” Electric Power Systems Research 175 (October): 105909. Link.

Cerrai, Diego, David Wanik et al. (2019). Predicting Storm Outages through New Representations of Weather and Vegetation. IEEE Access. PP. 1-1. 10.1109/ACCESS.2019.2902558. Link.

Derin, Y., E. Anagnostou, A. Berne, M. Borga, Boudevillain, W. Buytaert, C.-H. Chang, Chen, G. Delrieu, Y. C. Hsu, W. Lavado-Casimiro, B. Manz, S. Moges, E. I. Nikolopoulos, Sahlu, F. Salerno, J.-P. Rodríguez-Sánchez, J. Vergara, and K. K. Yilmaz. 2019. “Evaluation of GPM-Era Global Satellite Precipitation Products Over Multiple Complex Terrain Regions.” Remote Sensing 11:2936.

Derin, Y., E. Anagnostou, M. Anagnostou, and Kalogiros. 2019. “Evaluation of X-Band Dual- Polarization Radar-Rainfall Estimates from OLYMPEX.” Journal of Hydrometeorology 20 (9). Link.

Derin, Y., E. Nikolopoulos, and E. N. Anagnostou. “Estimating Extreme Precipitation Using Multiple Satellite-Based Precipitation Products.” In Extreme Hydroclimatic Events and Multivariate Hazards in a Changing Environment: A Remote Sensing Approach, edited by Viviana Maggioni and Christian Massari, 163–90. Amsterdam: Elsevier. Link.

Ehsan Bhuiyan, M. A., E. I. Nikolopoulos and E. N. Anagnostou, Machine learning-based blending of satellite and reanalysis precipitation datasets: A multi-regional tropical complex terrain evaluation, Journal of Hydrometeorology. [submitted]

Haileyesus, B. L., S. A. Moges, E. N. Anagnostou, I. Nikolopoulos, and D. H. Asfaw. 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 34:2157–77. Link.

Kloster, D.P., A.T. Morzillo, and J.C. Volin. 2019. A national and local media perspective on responsibility for and solutions to power outages in the northeastern United States. Environmental Hazards 18:228-245. doi: https://doi.org/10.1080/17477891.2018.1544114

Koukoula, M., E.I. Nikolopoulos, J. Kushta, N.S. Bartsotas, G. Kallos, and E.N. Anagnostou, 2019: A Numerical Sensitivity Analysis of Soil Moisture Feedback on Convective Precipitation. J. Hydrometeor., 20, 23–44. Link.

Lakew, Haileyesus Belay; Semu Ayalew Moges; Emmanouil N. Anagnostou et al. 2019. Evaluation of Global Water Resources Reanalysis Runoff Products for Local Water Resources Applications: A case of Upper Blue Nile Basin in Ethiopia. Water Resources Management. https://doi.org/10.1007/s11269-019-2190-y. Link.

Li, Y., P. Zhang, W. Li, J. N. Debs, D. A. Ferrante, J. Kane, S. N. Woolard, R. Kalbfleisch, and B. Bowes. 2019. “Non-Detection Zone Analytics for Unintentional Islanding in Distribution Grid Integrated with Distributed Energy Resources.” IEEE Transactions on Sustainable Energy 10, no. 1 (January): 214–25.

Marra, F., E. I. Nikolopoulos, E. N. Anagnostou, Bardossy, and E. Morin. 2019. “Precipitation Frequency Analysis from Remotely Sensed Datasets: A Focused Review.” Journal of Hydrology 574 (July): 699–705.

McGraw, Daniel, Efthymios I. Nikolopoulos, Francesco Marra, Emmanouil N. Anagnostou. Precipitation frequency analyses based on radar estimates: An evaluation over the contiguous United States. Journal of Hydrology, Volume 573, 2019, Pages 299-310. ISSN 0022-1694. Link.

Samalot, A., M. Astitha, J. Yang, and G. Galanis. “Combined Kalman Filter and Universal Kriging to Improve Storm Wind Speed Predictions for the Northeastern United States.” Weather Forecasting 34:587–601. Link.

Shen, X., D. Wang, K. Mao, E. N Anagnostou, and Y. Hong. 2019. “Inundation Extent Mapping by Synthetic Aperture Radar: A Review.” Remote Sensing 11 (7): 879.

Shen, Xinyi; Emmanouil N. Anagnostou; et al. Near-real-time non-obstructed flood inundation mapping using synthetic aperture radar. Remote Sensing of Environment, Volume 221, 2019, Pages 302-315. ISSN 0034-4257, https://doi.org/10.1016/j.rse.2018.11.008. Link.

Xiaolong Ma, Wei Zhang, Amvrossios Bagtzoglou: Decomposition of Pole-wire System under Extreme wind for resilience assessment. [submitted]

Yang J., M. Astitha, and C. Schwartz. “Assessment of Storm Wind Speed Prediction Using Gridded Bayesian Regression Applied to Historical Events with NCAR’s Real–Time Ensemble Forecast System.” Journal of Geophysical Research: Atmospheres 124 (16): 9241–61. Link.

Yang, F., D. Wanik, D. Cerrai, et al, The Importance of Events Database Representativeness in Modeling Weather-Related Outages with Machine Learning, IEEE Transactions on Smart Grid. [submitted]

Zhang, X. and E.N. Anagnostou, 2019: Evaluation of Numerical Weather Model–Based Satellite Precipitation Adjustment in Tropical Mountainous Regions. J. Hydrometeor., 20, 431–445, https://doi.org/10.1175/JHM-D-18-0008.1 . Link.

Borochin, P., and Y. Zhao, 2018: Identifying Recommended Funding Levels of Power Grid Resilience Programs, IEEE Transactions on Power Systems (in review).

Bunce, Amanda, John C. Volin, David R. Miller, Jason Parent, Mark Rudnicki, 2018: UCONN Tree Sway Biomechanics Project (pre-thinning tree sway and weather data). Link.

Cerrai D., E.N. Anagnostou, et al., 2018: Improving Predictability of Storm Power Outages by Evaluating a New Representation of Weather and Vegetation in Non-parametric Modeling, International Journal of Forecasting (submitted).

Destro E., W. Amponsah, E.I. Nikolopoulos, L. Marchi, F. Marra, D. Zoccatelli and M. Borga, 2018: Coupled prediction of flash flood response and debris flow occurrence: application on an alpine extreme flood event, Journal of Hydrology, 558, 225-237.

Ehsan Bhuiyan, M. A. and Nikolopoulos, E. I. et al, 2018. Assessment of Precipitation Error Propagation in Multi-Model Global Water Resources Reanalysis. Hydrology and Earth System Sciences Discussions, Vol 2018, Pages 1-44. 10.5194/hess-2018-434. Link.

Li Y., P. Zhang, J. N. Debs, D. A. Ferrante, D. J. Kane, S. N. Woolard, R. Kalbfleisch, and K. B. Bowes, A Generic Method for the Determination of Non-Detection Zone in DER-Dominated Distribution Grids, IEEE PES General Meeting (under review).

Marra, F., E. Nikolopoulos, E.N. Anagnostou, and E. Morin, 2018: Metastatistical Extreme Value analysis of hourly rainfall from short records: estimation of high quantiles and impact of measurement errors, Advances in Water Resources, Volume 117, Pages 27-39. Link.

Nikolopoulos, Efthymios I., Elisa Destro, Md Abul Ehsan Bhuiyan, Marco Borga, and Emmanouil N. Anagnostou, 2018: Evaluation of predictive models for post-fire debris flows occurrence in the western United States, Nat. Hazards Earth Syst. Sci., 18, 2331-2343. Link.

Orekan, T., P. Zhang, and C. Shih. 2018. “Analysis, Design, and Maximum Power Efficiency Tracking for Undersea Wireless Power Transfer.” IEEE Journal of Emerging and Selected Topics in Power Electronics 6 (2): 843–54.

Samalot, M. Astitha, J. Yang, G. Galanis, 2018: A combination of Kriging and Kalman filtering applied to wind speed prediction of storms for NE U.S. Weather and Forecasting. Minor revision, 1/22/2019.

Shen X., E.N. Anagnostou, and G.H. Allen, 2018: Near Real-Time (NRT) Flood Inundation Mapping by Synthetic Aperture Radar (SAR), Remote Sensing of Environment (in review).

Walsh, T., Layton, T., Wanik D. W., Mellor J., 2018: Agent Based Model to Estimate Time to Restoration of Storm-Induced Power Outages. Infrastructures Vol 3 (3), 33. Link. 

Wanik, D.W., E.N. Anagnostou, M. Astitha, B.M. Hartman, G.M. Lackmann, J. Yang, D. Cerrai, J. He, and M.E. Frediani, 2018: A Case Study on Power Outage Impacts from Future Hurricane Sandy Scenarios. J. Appl. Meteor. Climatol., Vol 57, 51–79. Link.

Wanik D., E. N. Anagnostou, T. Layton, B. M. Hartman, 2018: “Estimated Time of Restoration (ETR) Guidance for Electric Distribution Networks.” Journal of Homeland Security and Emergency Management, Volume 15, Issue 1, 20160063, ISSN (Online) 1547-7355. Link.

Yang, J., M. Astitha, L. Delle Monache, and S. Alessandrini, 2018: An Analog Technique to Improve Storm Wind Speed Prediction Using a Dual NWP Model Approach. Mon. Wea. Rev., 146, 4057–4077. Link.

Yuan, H., W. Zhang, J. Zhu, and A.C. Bagtzoglou, Dec 2018: Resilience Assessment of Overhead Power Distribution System under Strong Winds for Hardening Prioritization, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, Vol 4, Issue 4. Link.

Zhang P., Z. Tang, J. Yang, K. Muto, X. Liu, M. Astitha, J.N. Debs, D.A. Ferrante, D. Marcaurele, I.M. Hazlewood, and D. Hedman, PV Extreme Capacity Factor Analysis, IEEE PES General Meeting (under review).

Bartsotas N., E.I. Nikolopoulos, E.N. Anagnostou, S. Solomos, G. Kallos, 2017: Moving towards sub-km modeling grid spacings: Impacts on atmospheric and hydrological simulations of extreme flash-flood inducing storms. Journal of Hydrometeorology, 18 (1), 209-226.

Cole, T.A., Wanik, D.W., Molthan, A.L., Román, M.O., Griffin, R.E, 2017: Synergistic Use of Nighttime Satellite Data, Electric Utility Infrastructure, and Ambient Population to Improve Power Outage Detections in Urban Areas, Remote Sens. Vol 9, Page 286. Link.

Frediani M., T. Hopson, J. Hacker, E.N. Anagnostou, L. Monache, F. Vandenberg, 2017: Object-Based Analog Forecasts for Surface Wind Speed, Monthly Weather Review, Vol 145 (12), 5083–5102. Link.

He, J., D. W. Wanik, B. M. Hartman, N. Anagnostou, and M. Astitha. 2017. “Nonparametric Tree-Based Predictive Modeling of Storm Outages on an Electric Distribution Network.” Risk Analysis 37, no. 3 (March): 441–58.

Li, Y., P. Zhang, L. Zhang, and B. Wang, 2017: Active synchronous detection of deception attacks in microgrid control systems, IEEE Trans. Smart Grid, Vol 8 (1), 373-375. Link.

Li Y., P. Zhang, W. Li, J. N. Debs, D. A. Ferrante, D. J. Kane, S. N. Woolard, R. Kalbfleisch, and K. B. Bowes, 2017: Non-detection zone analytics for unintentional islanding in distribution grid integrated with distributed energy resources, IEEE Transactions on Sustainable Energy (under review).

Maggioni V., E.I. Nikolopoulos, E.N. Anagnostou and M. Borga, 2017: Modeling satellite precipitation errors over mountainous terrain: the influence of gauge density, seasonality, and temporal resolution, IEEE Transactions on Geosciences and Remote Sensing, Vol 55 (7), 4130-4140. Link.

Mei, Y., E.N. Anagnostou, X. Shen, and E.I. Nikolopoulos, 2017: Decomposing the satellite precipitation error propagation through the rainfall-runoff processes. Advances in Water Resources, Vol 109, 253-266. Link.

Mei Y., X. Shen and E.N. Anagnostou, 2017: A Synthesis of Space-time Variability in Multicomponent Flood Response. Hydrology and Earth System Sciences, vol. 21, pp.2277-2299. Link.

Nikolopoulos E.I., E. Destro, V. Maggioni, F. Marra and M. Borga, 2017: Satellite-rainfall estimates for debris flow prediction: An evaluation based on rainfall accumulation-duration thresholds. Journal of Hydrometeorology, Vol 18 (8), 2207-2214. Link.

Orekan, T., P. Zhang, and C. Shih, 2017: Analysis, design and maximum power efficiency tracking for undersea wireless power transfer, IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol 6 (2), 843-854. Link.

Orekan T., and P. Zhang, 2017: Modelling and maximum power extraction of a novel smart wave energy converter, IEEE Transactions on Industrial Electronics (under review).

Shen, Xinyi, Yiwen Mei and Emmanouil N. Anagnostou, 2017: A Comprehensive Flood Events Database in Continental United States. Bulletin of the American Meteorological Society, Vol 98, 1493–1502. Link.

Shen X., and Emmanouil Anagnostou, 2017 : A Framework to Improve Hyper-Resolution Hydrologic Simulation in Snow-Affected Regions. Journal of Hydrology, Vol 552, 12. Link.

Shen, X., E. N. Anagnostou, Y. Mei, and Hong. 2017. “A Global Distributed Basin Morphometric Dataset.” Scientific Data: A Nature Research Journal 4, art. 160124 (January). Link.

Wanik D., E.N. Anagnostou, M. Astitha, B. M. Hartman, M. E. B. Frediani, G. M. Lackmann, Jichao He, J. Yang, 2017: A Case Study on Power Outage Impacts from Future Hurricane Sandy Scenarios, Journal of Applied Meteorology, Vol 57, 51–79. Link.

Wanik D., J. Parent, E. N. Anagnostou, B. M. Hartman, 2017: Using Vegetation Management and LiDAR-Derived Tree Height Data to Improve Outage Predictions for Electric Utilities. Electric Power Systems Research, Volume 146, Pages 236–245.

Yang, J., M. Astitha, L. Delle Monache, S. Alessandrini, 2017: An Analog technique to improve storm wind speed prediction using a dual NWP model approach. Monthly Weather Review, 146, 4057–4077. Link.

Yang, J., M. Astitha, E. Anagnostou, B. Hartman, 2017: Using a Bayesian regression approach on dual-model weather simulations to improve wind speed prediction. Journal of Applied Meteorology and Climatology, Vol 56, 1155-1174. Link.

Yiwen Mei, Xinyi Shen and Emmanouil N. Anagnostou, 2017: A Synthesis of Space-time Variability in Multi-component Flood Response. Hydrology and Earth System Sciences, Vol 21, 2277-2299. Link.

Bartsotas, N., E. I. Nikolopoulos, E. N. Anagnostou, S. Solomos, and G. Kallos. 2016. “Moving towards Subkilometer Modeling Grid Spacings: Impacts on Atmospheric and Hydrological Simulations of Extreme Flash Flood–Inducing Storms.” Journal of Hydrometeorology 18, no. 1 (November): 209–26.

Frediani, M. E. B., Hacker, J. P., Anagnostou, E. N., Hopson, T., 2016: Evaluation of PBL Parameterizations for Modeling Surface Wind Speed During Storms in the Northeast U.S.. Weather and Forecasting, Vol 31, 1511–1528. Link.

He J., D. W. Wanik, B. M. Hartman, E. N. Anagnostou, M. Astitha, 2016: Nonparametric Tree-based Predictive Modeling of Storm Damages to Electric Distribution Network, Risk Analysis, Vol 37, 441-458. Link. 

Xinyi Shen, Emmanouil N. Anagnostou, Yiwen Mei and Yang Hong, 2016: A Global Distributed Basin Morphometric Dataset. Nature-Scientific Data, Vol 4. Link.