Publications
H. Kreibich, A. F. van Loon, K. Schröter, P. J. Ward, M. Mazzoleni, N. Sairam, G. W. Abeshu, S. Agafonova, A. AghaKouchak, H. Aksoy, C. Alvarez-Garreton, B. Aznar, L. Balkhi, M. H. Barendrecht, S. Biancamaria, L. Bos-Burgering, C. Bradley, Y. Budiyono, W. Buytaert, L. Capewell, H. Carlson, Y. Cavus, A. Couasnon, G. Coxon, I. Daliakopoulos, M. C. de Ruiter, C. Delus, M. Erfurt, G. Esposito, D. François, F. Frappart, J. Freer, N. Frolova, A. K. Gain, M. Grillakis, J. O. Grima, D. A. Guzmán, L. S. Huning, M. Ionita, M. Kharlamov, D. N. Khoi, N. Kieboom, M. Kireeva, A. Koutroulis, W. Lavado-Casimiro, H.-Y. Li, M. C. LLasat, D. Macdonald, J. Mård, H. Mathew-Richards, A. McKenzie, A. Mejia, E. M. Mendiondo, M. Mens, S. Mobini, G. S. Mohor, V. Nagavciuc, T. Ngo-Duc, T. Thao Nguyen Huynh, P. T. T. Nhi, O. Petrucci, H. Q. Nguyen, P. Quintana-Seguí, S. Razavi, E. Ridolfi, J. Riegel, M. S. Sadik, E. Savelli, A. Sazonov, S. Sharma, J. Sörensen, F. A. Arguello Souza, K. Stahl, M. Steinhausen, M. Stoelzle, W. Szalińska, Q. Tang, F. Tian, T. Tokarczyk, C. Tovar, T. V. T. Tran, M. H. J. van Huijgevoort, M. T. H. van Vliet, S. Vorogushyn, T. Wagener, Y. Wang, D. E. Wendt, E. Wickham, L. Yang, M. Zambrano-Bigiarini, G. Blöschl, G. di Baldassarre (2022). The challenge of unprecedented floods and droughts in risk management. Nature. https://doi.org/10.1038/s41586-022-04917-5
Nature News & Views: Tellman, B. & Eakin, H. (2022), Risk management alone fails to limit the impact of extreme climate events, Nature 608, 41-43, doi: https://doi.org/10.1038/d41586-022-02031-0, https://www.nature.com/articles/d41586-021-01758-6 Kreibich, Heidi; Schröter, Kai; Di Baldassarre, Giuliano; Van Loon, Anne; Mazzoleni, Maurizio; Abeshu, Guta Wakbulcho; Agafonova, Svetlana; AghaKouchak, Amir; Aksoy, Hafzullah; Alvarez-Garreton, Camila; Aznar, Blanca; Balkhi, Laila; Barendrecht, Marlies H.; Biancamaria, Sylvain; Bos-Burgering, Liduin; Bradley, Chris; Budiyono, Yus; Buytaert, Wouter; Capewell, Lucinda; Carlson, Hayley; Cavus, Yonca; Couasnon, Anaïs; Coxon, Gemma; Daliakopoulos, Ioannis; de Ruiter, Marleen C.; Delus, Claire; Erfurt, Mathilde; Esposito, Giuseppe; François, Didier; Frappart, Frédéric; Freer, Jim; Frolova, Natalia; Gain, Animesh K; Grillakis, Manolis; Grima, JordiOriol; Guzmán, Diego A.; Huning, Laurie S.; Ionita, Monica; Kharlamov, Maxim; Khoi, Dao Nguyen; Kieboom, Natalie; Kireeva, Maria; Koutroulis, Aristeidis; Lavado-Casimiro, Waldo; Li, Hongyi; LLasat, Maria Carmen; Macdonald, David; Mård, Johanna; Mathew-Richards, Hannah; McKenzie, Andrew; Mejia, Alfonso; Mendiondo, Eduardo Mario; Mens, Marjolein; Mobini, Shifteh; Mohor, Guilherme Samprogna; Nagavciuc, Viorica; Ngo-Duc, Thanh; Nguyen, Huynh Thi Thao; Nhi, Pham Thi Thao; Petrucci, Olga; Quan, Nguyen Hong; Quintana-Seguí, Pere; Razavi, Saman; Ridolfi, Elena; Riegel, Jannik; Sadik, Md Shibly; Sairam, Nivedita; Savelli, Elisa; Sazonov, Alexey; Sharma, Sanjib; Sörensen, Johanna; Souza, Felipe Augusto Arguello; Stahl, Kerstin; Steinhausen, Max; Stoelzle, Michael; Szalińska, Wiwiana; Tang, Qiuhong; Tian, Fuqiang; Tokarczyk, Tamara; Tovar, Carolina; Tran, Thi Van Thu; van Huijgevoort, Marjolein H.J.; van Vliet, Michelle T.H.; Vorogushyn, Sergiy; Wagener, Thorsten; Wang, Yueling; Wendt, Doris E.; Wickham, Elliot; Yang, Long; Zambrano-Bigiarini, Mauricio; Ward, Philip J. (2022): Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts. GFZ Data Services. https://doi.org/10.5880/GFZ.4.4.2022.002 Broyles*, L. M. T., Pakhtigian, E. L., Rosinger, A. Y., & Mejia, A. (2022). Climate and hydrological seasonal effects on household water insecurity: A systematic review. WIREs Water, 9(3). https://doi.org/10.1002/wat2.1593 López-Uribe, M. M., Urbina, J. v, Mejía, A. I., Duque, L. O., Riaño-Jiménez, D., Cure, J. R., Ramos, V., Martel, C., Fuentes, J. D., & González, V. H. (2022). Creating a Virtual International Research Experience. American Entomologist, 68(1), 24–27. https://doi.org/10.1093/ae/tmac017 Gomez*, M., Mejia, A., Ruddell, B. L., & Rushforth, R. R. (2021). Supply chain diversity buffers cities against food shocks. Nature 595(7866), 250–254. https://doi.org/10.1038/s41586-021-03621-0. Nature News & Views: Mehrabi, Zia (2021), How to buffer against an urban food shortage, Nature 595, 175-176, doi: https://doi.org/10.1038/d41586-021-01758-6, https://www.nature.com/articles/d41586-021-01758-6 Garcia*, S., Gomez*, M., Rushforth, R., Ruddell, B. L., & Mejia, A. (2021). Multilayer Network Clarifies Prevailing Water Consumption Telecouplings in the United States. Water Resources Research, 57(7), e2020WR029141. https://doi.org/https://doi.org/10.1029/2020WR029141 Oreggioni*, F., Garcia*, S., Gomez*, M., & Mejia, A. (2021). A machine learning model of virtual water networks over time. Advances in Water Resources, 147, 103819. https://doi.org/https://doi.org/10.1016/j.advwatres.2020.103819 Sharma*, S., Gomez*, M., Keller, K., Nicholas, R. E., & Mejia, A. (2021). Regional Flood Risk Projections under Climate Change. Journal of Hydrometeorology, 22(9), 2259–2274. https://doi.org/10.1175/JHM-D-20-0238.1 Mahjabin*, T., Mejia, A., & Grady, C. (2021). Virtual nitrogen and virtual water transfers embedded in food trade networks across the US. Environmental Research Letters. http://iopscience.iop.org/article/10.1088/1748-9326/abe06f Siddique, R., Mejia, A., Mizukami, N., & Palmer, R. N. (2021). Impacts of Global Warming of 1.5, 2.0 and 3.0 °C on Hydrologic Regimes in the Northeastern U.S. Climate, 9(1). https://doi.org/10.3390/cli9010009 Gomez*, M., Garcia*, S., Rajtmajer, S., Grady, C., & Mejia, A. (2020). Fragility of a multilayer network of intranational supply chains. Applied Network Science, 5(71), 1-21. https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-020-00310-1 Bopp, G. P., Shaby, B. A., Forest, C. E., & Mejía, A. (2020). Projecting Flood-Inducing Precipitation with a Bayesian Analogue Model. Journal of Agricultural, Biological and Environmental Statistics, 25(2), 229-249. doi:10.1007/s13253-020-00391-6 arxiv.org/abs/1911.05881 Garcia*, S., Rajtmajer, S., Grady, C., Mohammadpour, P., & Mejia, A. (2020). Performance of a Multi-layer Commodity Flow Network in the United States Under Disturbance. Conference Proceedings, Complex Networks and Their Applications VIII, Cham. link.springer.com/chapter/10.1007/978-3-030-36683-4_52 Garcia*, S., Rushforth, R., Ruddell, B. L., & Mejia, A. (2020). Full Domestic Supply Chains of Blue Virtual Water Flows Estimated for Major U.S. Cities. Water Resources Research, 56(4), e2019WR026190. doi:10.1029/2019WR026190 agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019WR026190 Kreibich, H., Blauhut, V., Aerts, J. C. J. H., Bouwer, L. M., Van Lanen, H. A. J., Mejia, A., . . . Van Loon, A. F. (2020). Approaches to analyse and model changes in impacts: reply to discussions of “How to improve attribution of changes in drought and flood impacts”. Hydrological Sciences Journal, 65(3), 491-494. doi:10.1080/02626667.2019.1701194 Mahjabin*, T., Mejia, A., Blumsack, S., & Grady, C. (2020). Integrating embedded resources and network analysis to understand food-energy-water nexus in the US. Science of The Total Environment, 709, 136153. doi:https://doi.org/10.1016/j.scitotenv.2019.136153 www.sciencedirect.com/science/article/pii/S0048969719361492 Sun, F., Mejia, A., Sharma, S., Zeng, P., & Che, Y. (2020). Evaluating the Credibility of Downscaling: Integrating Scale, Trend, Extreme, and Climate Event into a Diagnostic Framework. Journal of Applied Meteorology and Climatology, 59(9), 1453-1467. doi:10.1175/jamc-d-20-0078.1 Sun*, F., A. Mejia, P. Zeng, and Y. Che (2019), Projecting meteorological, hydrological and agricultural droughts for the Yangtze River basin, Science of The Total Environment, 696, https://doi.org/10.1016/j.scitotenv.2019.134076. Jovanovic*, T., R. L. Hale, J. Gironás, and A. Mejia (2019). Hydrological functioning of an evolving urban stormwater network, Water Resources Research, 55, 6517-6533, https://doi.org/10.1029/2019WR025236. Garcia*, S. and A. Mejia (2019), Characterizing and modeling subnational virtual water networks of US agricultural and industrial commodity flows, Advances in Water Resources, 130, 314-324, doi.org/10.1016/j.advwatres.2019.06.013. Sharma*, S., H. Gall, J. Gironas, and A. Mejia (2019), Seasonal hydroclimatic ensemble forecasts anticipate nutrient and suspended sediment loads using a dynamical-statistical approach, Environmental Research Letters, 14(8), 1-16, doi.org/10.1088/1748-9326/ab2c26. Sun*, F., A. Mejia, and Y. Che (2019), Disentangling the contributions of climate and basin characteristics to water yield across spatial and temporal scales in the Yangtze River Basin: A combined hydrological model and boosted regression approach, Water Resources Management, 33(10), 3449-3468, doi.org/10.1007/s11269-019-02310-y. Grady, C., S. Blumsack, A. Mejia, and C.A. Peters (2019), The Food-Energy-Water Nexus: Security, Sustainability and Systems Perspectives, Environmental Engineering Sciences, 36(7), doi.org/10.1089/ees.2019.0170. Pereira-Claren, A., J. Gironás, J.D. Niemann, P. Passalacqua, A. Mejia, and C. Escauriaza (2019), Planform Geometry and Relief Characterization of Drainage Networks in High-Relief Environments: an Analysis of Chilean Andean Basins, Geomorphology, 341, 46-64, doi.10.1016/j.geomorph.2019.05.011. Sharma*, S., R. Siddique*, S. Reed, P. Anhert, A. Mejia (2019), Hydrological model diversity enhances streamflow forecast skill at short- to medium-range timescales, Water Resources Research, 55, 5010-5030, https://doi.org/10.1029/2018WR023197 Kreibich, H., V. Blauhut, J. C.J.H. Aerts, L. M. Bouwer, H. A.J. Van Lanen, A. Mejia, M. Mens, A. F. Van Loon (2019), How to improve attribution of changes in drought and flood impacts, Hydrological Sciences Journal, 64(1), 1-18, 10.1080/02626667.2018.1558367. Gomez*, M., S. Sharma*, S. Reed, A. Mejia (2019), Skill of ensemble flood inundation forecasts at short- to medium-range timescales, Journal of Hydrology, 568, 207-220, https://doi.org/10.1016/j.jhydrol.2018.10.063. Sanzana, P., J. Gironás, I. Braud, N. Hitschfeld, F. Branger, F. Rodriguez, M. Fuamba, J. Romero, X. Vargas, J. F. Muñoz, S. Vicuña and A. Mejía (2019), Decomposition of 2D polygons and its effects in hydrological models, Journal of Hydroinformatics, 21(1), 104-122, https://doi.org/10.2166/hydro.2018.031. Lant, C., J. Baggio, M. Konar, A. Meija, B. Ruddell, R. Rushforth, J. Sabo, and T. Troy (2019), The U.S. food-energy-water system: A blueprint to fill the mesoscale gap for science and decision-making, Ambio, 48(3), 251-263, https://doi.org/10.1007/s13280-018-1077-0. Mahjabin*, T., S. Garcia*, C. Grady, A. Mejia (2018), Large cities get more for less: Water footprint efficiency across the US, PLOS ONE, 13, (8), e0202301. Jovanovic, D., T. Jovanovic*, A. Mejía, J. Hathaway, E. Daly (2018), Technical note: Long-term memory loss of urban streams as a metric for catchment classification, Hydrology and Earth System Sciences, 22, 3551-3559, https://doi.org/10.5194/hess-22-3551-2018. Jovanovic*, T., F. Sun, T. Mahjabin*, and A. Mejia (2018), Disentangling the effects of climate and urban growth on streamflow for sustainable urban development: A stochastic approach to flow regime attribution, Landscape and Urban Planning, 177, 160-170. Zarzar, C.M., H. Hosseiny, R. Siddique*, M. Gomez*, V. Smith, A. Mejia, and J. Dyer (2018), A hydraulic multi-model ensemble framework for visualizing flood inundation uncertainty, Journal of the American Water Resources Association (JAWRA), 54(4), 07-819, doi: 10.1111/1752-1688.12656. Sharma*, S., R. Siddique*, S. Reed, P. Ahnert, P. Mendoza, A. Mejia (2018), Relative effects of statistical preprocessing and postprocessing on a regional hydrological ensemble prediction system, Hydrology and Earth System Sciences, 22(3), 1831-1849, https://doi.org/10.5194/hess-22-1831-2018. Sinha, P., J.D. Fuentes, M.E. Mann, A. Mejia, L. Ning, W. Sun, T. He, and J. Obeysekera (2018), Downscaled rainfall projections in south Florida using self-organizing maps, Science of the Total Environment, 635, 1110-1123. Gall, H., D. Schultz, T. Veith, S. Goslee, A. Mejia, C. Harman, C. Raj, and P. Patterson (2018), The effects of disproportional load contributions on quantifying vegetated filter strip sediment trapping efficiencies, Stochastic Environmental Research and Risk Assessment, 32(8), 2369-2380, https://doi.org/10.1007/s00477-017-1505-x. Collischonn, W., A. Fleischmann, R.C.D. Paiva and A. Mejia (2017), Hydraulic causes for basin hydrograph skewness, Water Resources Research, 53, doi: 10.1002/2017WR021543. Siddique*, R. and A. Mejia (2017), Ensemble streamflow forecasting across the U.S. middle Atlantic region with a distributed hydrological model forced by GEFS reforecasts, Journal of Hydrometeorology, 18(7), 1905-1928. Ahams*, I.C., S. Garcia*, W. Paterson*, R. Rushforth, B.L. Ruddell, and A. Mejia (2017), Water footprint of 65 mid- to large-sized U.S. cities and their metropolitan areas, Journal of the American Water Resources Association (JAWRA), 53(5), 1147-1163, doi: 10.1111/1752-1688.12563. 2018 AWRA Boggess Award Sanzana, P., J. Gironas, I. Braud, F. Branger, F. Rodriguez, X. Vargas, N. Hitschfeld, J.F. Muñoz, S. Vicuña, A. Mejía, S. Jankowfsky (2017), A GIS-based urban and peri-urban landscape representation toolbox for hydrological distributed modeling, Environmental Modelling & Software, 91, 168-185, doi: 10.1016/j.envsoft.2017.01.022. Yang*, X., S. Sharma*, R. Siddique*, S. Greybush, A. Mejia (2017), Postprocessing of GEFS precipitation ensemble reforecasts over the U.S. middle Atlantic region, Monthly Weather Review, 145, 1641-1658, doi: 10.1175/MWR-D-16-0251.1. Sharma*, S., R. Siddique*, N. Balderas*, J. D. Fuentes, S. Reed, P. Ahnert, R. Shedd, B. Astifan, R. Cabrera, A. Laing, M. Klein, and A. Mejia (2017), Eastern U.S. verification of ensemble precipitation forecasts, Weather and Forecasting, 32, 117–139, doi: 10.1175/WAF-D-16-0094.1. Jovanovic*, T., S. Garcia*, H. Gall, and A. Mejía (2017), Complexity as a streamflow metric of hydrologic alteration, Stochastic Environmental Research and Risk Assessment, 31(8), doi:10.1007/s00477-016-1315-6. Kreibich, H., T. Krueger, A. Van Loon, A. Mejia, J. Liu, H. McMillan, and A. Castellarin (2016), Scientific debate of Panta Rhei research – how to advance our knowledge of changes in hydrology and society?, Hydrological Sciences Journal, http://dx.doi.org/10.1080/02626667.2016.1209929. Pavlovic, S., S. Perica, M. St Laurent, and A. Mejía (2016), Intercomparison of selected fixed-area areal reduction factor methods, Journal of Hydrology, 537, 419-430. McMillan, H. et al. (2016), Panta Rhei 2013-2015: Global perspectives on hydrology, society and change, Hydrological Sciences Journal, 61(7), 1174-1191. Jovanovic*, T., A. Mejía, H. Gall, and J. Gironás (2016), Effect of urbanization on the long-term persistence of streamflow records, Physica A, 447, 208-221. Mejía, A., F. Rossel*, J. Gironás, and T. Jovanovic* (2015), Anthropogenic controls from urban growth on flow regimes, Advances in Water Resources, 84, 125-135. Siddique*, R., A. Mejia, J. Brown, S. Reed, and P. Anhert (2015), Verification of precipitation forecasts from two numerical weather prediction models in the Middle Atlantic region of the USA: A precursory analysis to hydrologic forecasting, Journal of Hydrology, 529(3), 1390-1406. Paterson*, W., R. Rushforth, B.L. Ruddell, M. Konar, I.C. Ahams*, J. Gironás, A. Mijic, A. Mejia (2015), Water footprint of cities: A review and suggestions for future research, Sustainability, 7, 8461-8490. Rossel*, F., J. Gironás, A. Mejía, A. Rinaldo, and F. Rodriguez (2014), Spatial characterization of catchment dispersion mechanisms in an urban context, Advances in Water Resources, 74(0), 290-301. Mejia, A., E. Daly, F. Rossel*, T. Jovanovic*, and J. Gironas (2014), A stochastic model of streamflow for urbanized basins, Water Resources Research, 50, 1984–2001, doi:10.1002/2013WR014834. Mejia, A. (2013), Scaling of the network instantaneous response function from basin geomorphology and hydraulic geometry, Journal of Hydrologic Engineering, 18(12), 1786–1789. 2015 Best Technical Note Award, ASCE Journal of Hydrologic Engineering. Mejia, A. I. (2013), Assessment of hydrologic controls on the applicability of routing methods, Journal of Hydrologic Engineering, 18(8), 948–957. Mejia, A. I., and S. M. Reed (2011), Role of channel and floodplain cross-section geometry in the basin response, Water Resources Research, 47, W09518, doi:10.1029/2010WR010375. AGU Featured Article: Balcerak, E. (2011), Channel cross-section geometry affects basin response, Eos Transactions AGU, 92(45), doi:10.1029/2011EO450017. Mejia, A. I., and S. M. Reed (2011), Evaluating the effects of simplified routing and parameterized cross section shapes with a coupled distributed hydrologic and hydraulic model, Journal of Hydrology, 409, doi:10.1016/j.jhydrol.2011.08.050. Mejía, A. I., and G. E. Moglen (2010), Impact of the spatial distribution of imperviousness on the hydrologic response of an urbanizing basin, Hydrological Processes, 24(23), doi:10.1002/hyp.7755. Mejía, A. I., and G. E. Moglen (2010), Spatial distribution of imperviousness and the space-time variability of rainfall, runoff generation, and routing, Water Resources Research, 46, W07509, doi:10.1029/2009WR008568. Mejía, A. I., and G. E. Moglen (2009), Spatial patterns of urban development from optimization of flood peaks and imperviousness-based measures, Journal of Hydrologic Engineering, 14(4), doi:10.1061/(ASCE)1084-0699. Mejía, A. I., and J. D. Niemann (2008), Identification and characterization of dendritic, parallel, pinnate, trellis, and rectangular drainage networks based on deviations from planform self-similarity, Journal of Geophysical Research, 113, F02015, doi:10.1029/2007JF000781. Chapters
Mejia, A., T. Jovanovic, and S. Pavlovic (2016), Orinoco River Basin, Chapter 96, in Handbook of Applied Hydrology, Second edition, Editor-in-Chief Professor Vijay Singh, McGraw-Hill.
Guo, Y., P. Daeryong, A. Mejia, J. Gironas, and L. Roesner (2019), Probabilistic models for urban stormwater management, Chapter 12, in Applications of Statistical Distributions in Hydrologic Sciences and Engineering, ASCE monograph. |