Publications

Ariel, L. S. V., & Goodall, J. L. (2026). Experimental Evaluation of Serverless Data Layer Architectures for Smart City Internet of Things Applications. Smart Cities, 9(5), 80. https://doi.org/10.3390/smartcities9050080

Lynn, S. L., Liddell, K. A., & Goodall, J. L. (2026). Understanding Trends in Stormwater Inspection Reports Leading to Recurring Corrective and Urgent Maintenance Issues: Case Study for the Virginia Department of Transportation. Journal of Sustainable Water in the Built Environment, 12(3), 04026001. https://doi.org/10.1061/JSWBAY.SWENG-707

Song, J., Barbosa, S. A., & Goodall, J. L. (2026). Evaluating low impact development practices as a mitigation strategy for compound flooding in urban-coastal watersheds. Journal of Environmental Management, 410, 130085. https://doi.org/10.1016/j.jenvman.2026.130085

Jeong, J., Goodall, J. L., & Quinn, J. D. (2026). Comparing strategies for training LSTM models for street-scale urban flood prediction in Norfolk, Virginia. Journal of Hydrology: Regional Studies, 65, 103405. https://doi.org/10.1016/j.ejrh.2026.103405

Wang, Y., Goodall, J. L., Kumar, C., McSpadden, D., Barbosa, S. A., Roy, B., ... & Tahvildari, N. (2026). A hybrid CNN-LSTM surrogate model for hyper-resolution spatiotemporal flood forecasting in Norfolk, Virginia. Journal of Hydrology: Regional Studies, 64, 103234. https://doi.org/10.1016/j.ejrh.2026.103234

Lynn, S. L., Nelson, J. D., & Goodall, J. L. (2026). Understanding Long-Term Stormwater Best Management Practice Maintenance Challenges: Insights from the Virginia Department of Transportation. Journal of Sustainable Water in the Built Environment, 12(1), 04025012. https://doi.org/10.1061/JSWBAY.SWENG-667

Barbosa, S. A., Wang, Y., & Goodall, J. L. (2025). Exploring Infiltration Effects on Coastal Urban Flooding: Insights from Nuisance to Extreme Events Using 2D Hydrodynamic Modeling and Crowdsourced Flood Reports. Science of The Total Environment, 968, 178908. https://doi.org/10.1016/j.scitotenv.2025.178908

Choi, Y.-D., Maghami, I., Goodall, J. L., Band, L., Nassar, A., Lin, L., Saby, L., Li, Z., Wang, S., Calloway, C., Yi, H., Seul, M., Ames, D. P., & Tarboton, D. G. (2025). Toward reproducible and interoperable environmental modeling: Integration of HydroShare with server-side methods for exposing large-extent spatial datasets to models. Environmental Modelling & Software, 183, 106239. https://doi.org/10.1016/j.envsoft.2024.106239

Jeong, J., & Goodall, J. L. (2025). A Temporal Graph Convolutional Network Approach for Leveraging Spatial and Temporal Features for Street-Scale Urban Flood Forecasting [Paper presentation]. AGU25 Fall Meeting.

Kumar, C., McSpadden, D., Schram, M., Richter, H., Wang, Y., Roy, B., & Goodall, J. L. (2025). Temporal Super-Resolution for Flood Forecasting using Deep Learning in Norfolk, Virginia [Paper presentation]. AGU25 Fall Meeting.

Lerma, N. R., Goodall, J. L., & Quinn, J. D. (2025). Uncovering the Drivers of Urban Flood Reports: An Environmental and Socioeconomic Analysis Using 311 Data. Water, 17(21), 3178. https://doi.org/10.3390/w17213178

Nelson, J. D., Lynn, S. L., & Goodall, J. L. (2025). Characterizing Stormwater Basin Conditions Using Tracked BMP Inspection and Rating Reports from the Virginia Department of Transportation. Journal of Sustainable Water in the Built Environment, 11(2), 04025003. https://doi.org/10.1061/JSWBAY.SWENG-599

Nikseresht, F., Sobral, V. A. L., Goodall, J. L., & Campbell, B. (2025). Dataset: Long-term LoRaWAN Communication Metadata from an Urban Deployment. Proceedings of the 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. https://doi.org/10.1145/3736425.3771960

Roy, B., Goodall, J. L., McSpadden, D., Goldenberg, S., & Schram, M. (2025a). Forecasting Multi-Step-Ahead Street-Scale nuisance flooding using seq2seq LSTM surrogate model for Real-Time applications in a Coastal-Urban city. Journal of Hydrology, 132697. https://doi.org/10.1016/j.jhydrol.2025.132697

Roy, B., Goodall, J. L., McSpadden, D., Goldenberg, S., & Schram, M. (2025b). Quantifying the impact of nuisance flooding on urban coastal communities under present and future climatic conditions: Norfolk, Virginia as a case study. Journal of Hydrology – Regional Studies, 59, 102304. https://doi.org/10.1016/j.ejrh.2025.102304

Sobral, V. L., Wang, Y., & Goodall, J. L. (2025). Prototyping a Vision-Based Flood Extent Sensor with On-Device Image Processing [Paper presentation]. AGU25 Fall Meeting.

Taghizadeh, M., Zandsalimi, Z., Nabian, M. A., Goodall, J. L., & Alemazkoor, N. (2025a). Domain-Adaptive Geometry-Informed Neural Operators for Rapid Flood Forecasting [Paper presentation]. AGU25 Fall Meeting.

Taghizadeh, M., Zandsalimi, Z., Nabian, M. A., Goodall, J. L., & Alemazkoor, N. (2025b). FloodForecaster: A domain-adaptive geometry-informed neural operator framework for rapid flood forecasting. Journal of Hydrology, 134512. https://doi.org/10.1016/j.jhydrol.2025.134512

Zandsalimi, Z., Barbosa, S. A., Alemazkoor, N., Goodall, J. L., & Shafiee-Jood, M. (2025). Deep learning-based downscaling of global digital elevation models for enhanced urban flood modeling. Journal of Hydrology, 653, 132687. https://doi.org/10.1016/j.jhydrol.2025.132687

Zandsalimi, Z., Taghizadeh, M., Lynn, S. L., Goodall, J. L., & Shafiee-Jood, M. (2025). End-to-End Graph Neural Networks for Real-Time Hydraulic Prediction in Stormwater Systems. EGUsphere, 2025, 1–34. https://doi.org/10.5194/egusphere-2025-3655

Zeng, L., Chen, T. D., Miller, J. S., Zahura, F. T., & Goodall, J. L. (2025). Assessing the spatially heterogeneous transportation impacts of recurrent flooding in the Hampton roads region on auto accessibility. Transportation Research Interdisciplinary Perspectives, 34, 101722. https://doi.org/10.1016/j.trip.2025.101722

Dong, R., Nelson, J. D., Cummins, S. L., & Goodall, J. L. (2024). Tracking the Cost of Maintaining Stormwater Best-Management Practice Facilities: The Role of Database Design and Data Entry Best Practices. Journal of Sustainable Water in the Built Environment, 10(1). https://doi.org/10.1061/JSWBAY.SWENG-506

Lerma, N. R., Barnett, M. J., Goodall, J. L., & Heydarian, A. (2024). Improving Online Community Engagement Practices for Infrastructure Decision-Making: Experiences from Stormwater Infrastructure Management in Houston, Texas, during the COVID-19 Pandemic. Journal of Infrastructure Systems, 30(3). https://doi.org/10.1061/JITSE4.ISENG-2322

Maghami, I., Morsy, M. M., Sadler, J. M., Horsburgh, J. S., Dash, P. K., Choi, Y., Chen, K., Seul, M., Black, S., Tarboton, D. G., & Goodall, J. L. (2024). An extensible schema for capturing environmental model metadata: Implementation in the HydroShare online data repository. Environmental Modelling & Software, 172, 105895. https://doi.org/10.1016/j.envsoft.2023.105895

McSpadden, D., Goldenberg, S., Roy, B., Schram, M., Goodall, J. L., & Richter, H. (2024). A comparison of machine learning surrogate models of street-scale flooding in Norfolk, Virginia. Machine Learning with Applications, 15, 100518. https://doi.org/10.1016/j.mlwa.2023.100518

Morsy, M. M., Roy, B., Shen, Y., Sadler, J. M., Chen, A. B., Zahura, F. T., & Goodall, J. L. (2024). Quantifying the Impact of Climate Change on Peak Stream Discharge for Watersheds of Varying Sizes in the Coastal Plain of Virginia. Journal of Hydrologic Engineering, 29(3). https://doi.org/10.1061/JHYEFF.HEENG-6114

Nelson, J. D., Aguilar, M. F., Saby, L., Stephenson, K., & Goodall, J. L. (2024). Exploring the adoption of water quality trading as an alternative stormwater regulatory compliance strategy for land development projects: A case study for Roanoke, Virginia. Journal of Environmental Management, 29(3), 120548. https://doi.org/10.1016/j.jenvman.2024.120548

Nelson, J. D., Bowes, B. D., Saby, L., Shafiee‐Jood, M., & Goodall, J. L. (2024). A geographic information system approach for estimating state-wide water quality credit need: Application for planned transportation projects in Virginia. Journal of the American Water Resources Association, 60(2). https://doi.org/10.1111/1752-1688.13195

Tarboton, D. G., Ames, D. P., Horsburgh, J. S., Goodall, J. L., Couch, A., Hooper, R., Bales, J., Wang, S., Castronova, A., Seul, M., & Idaszak, R. (2024). HydroShare retrospective: Science and technology advances of a comprehensive data and model publication environment for the water science domain. Environmental Modelling & Software, 172, 105902. https://doi.org/10.1016/j.envsoft.2023.105902

Wang, Y., Shen, Y., Salahshour, B., Cetin, M., Iftekharuddin, K., Tahvildari, N., Huang, G., Harris, D. K., Ampofo, K., & Goodall, J. L. (2024). Urban flood extent segmentation and evaluation from real-world surveillance camera images using deep convolutional neural network. Environmental Modelling & Software, 173, 105939. https://doi.org/10.1016/j.envsoft.2023.105939

Zahura, F. T., Goodall, J. L., & Chen, T. D. (2024). Using crowdsourced data to estimate passenger vehicle travel delays from nuisance flooding. Transportation Research Part D: Transport and Environment, 133, 104307. https://doi.org/10.1016/j.trd.2024.104307

Chen, A. B., Goodall, J. L., & Quinn, J. D. (2023). Exploring the relationship between flood insurance claims, crowdsourced rainfall, and tide levels for coastal urban communities: Case study for the mid-Atlantic United States. Journal of Hydrology, 625, 130123. https://doi.org/10.1016/j.jhydrol.2023.130123

Choi, Y. D., Roy, B., Nguyen, J., Ahmad, R., Maghami, I., Nassar, A., Li, Z., Castronova, A. M., Malik, T., Wang, S., & Goodall, J. L. (2023). Comparing containerization-based approaches for reproducible computational modeling of environmental systems. Environmental Modelling & Software, 167, 105760. https://doi.org/10.1016/j.envsoft.2023.105760

Leal Sobral, V. A., Nelson, J., Asmare, L., Mahmood, A., Mitchell, G., Tenkorang, K., Todd, C., Campbell, B., & Goodall, J. L. (2023). A Cloud-Based Data Storage and Visualization Tool for Smart City IoT: Flood Warning as an Example Application. Smart Cities, 6(3), 1109–1123. https://doi.org/10.3390/smartcities6030068

Maghami, I., Van Beusekom, A., Hay, L., Li, Z., Bennett, A., Choi, Y., Nijssen, B., Wang, S., Tarboton, D., & Goodall, J. L. (2023). Building cyberinfrastructure for the reuse and reproducibility of complex hydrologic modeling studies. Environmental Modelling & Software, 164, 105689. https://doi.org/10.1016/j.envsoft.2023.105689

Rimer, S. P., Mullapudi, A., Troutman, S. C., Ewing, G., Bowes, B. D., Akin, A. A., Sadler, J., Kertesz, R., McDonnell, B., Montestruque, L., & Hathaway, J. (2023). pystorms: A simulation sandbox for the development and evaluation of stormwater control algorithms. Environmental Modelling & Software, 162, 105635. https://doi.org/10.1016/j.envsoft.2023.105635

Saby, L., Herbst, R. S., Goodall, J. L., Nelson, J. D., Culver, T. B., Stephens, E., Marquis, C. M., & Band, L. E. (2023). Assessing and improving the outcomes of nonpoint source water quality trading policies in urban areas: A case study in Virginia. Journal of Environmental Management, 345(1), 118724. https://doi.org/10.1016/j.jenvman.2023.118724

Bowes, B. D., Wang, C., Ercan, M. B., Culver, T. B., Beling, P. A., & Goodall, J. L. (2022). Reinforcement learning-based real-time control of coastal urban stormwater systems to mitigate flooding and improve water quality. Environmental Science: Water Research & Technology, 8(10). https://doi.org/10.1039/D1EW00582K

Chen, A. B., Goodall, J. L., Chen, T. D., & Zhang, Z. (2022). Flood resilience through crowdsourced rainfall data collection: Growing engagement faces non-uniform spatial adoption. Journal of Hydrology, 609, 127724. https://doi.org/10.1016/j.jhydrol.2022.127724

Raney, A., Maghami, I., Feng, Y., Mandli, K., Cohen, S., & Goodall, J. (2022). An Open‐Source Python Library for Varying Model Parameters and Automating Concurrent Simulations of the National Water Model. Journal of the American Water Resources Association, 58(1). https://doi.org/10.1111/1752-1688.12973

Saby, L., McKee, K. L., Kansara, P., Goodall, J. L., Band, L. E., & Lakshmi, V. (2022). Sensitivity of Remotely Sensed Vegetation to Hydrologic Predictors across the Colorado River Basin, 2001-2019. Journal of the American Water Resources Association, 58(6). https://doi.org/10.1111/1752-1688.12965

Shen, Y., Tahvildari, N., Morsy, M. M., Huxley, C., Chen, T. D., & Goodall, J. L. (2022). Dynamic Modeling of Inland Flooding and Storm Surge on Coastal Cities under Climate Change Scenarios: Transportation Infrastructure Impacts in Norfolk, Virginia USA as a Case Study. Geosciences, 12(6), 224. https://doi.org/10.3390/geosciences12060224

Tahvildari, N., Abi Aad, M., Sahu, A., Shen, Y., Morsy, M., Murray-Tuite, P., Goodall, J. L., Heaslip, K., & Cetin, M. (2022). Quantification of compound flooding over roadway network during extreme events for planning emergency operations. Natural Hazards Review, 23(2). https://doi.org/10.1061/(ASCE)NH.1527-6996.0000524

Van Beusekom, A. E., Hay, L. E., Bennett, A. R., Choi, Y.-D., Clark, M. P., Goodall, J. L., Li, Z., Maghami, I., Nijssen, B., & Wood, A. W. (2022). Hydrologic Model Sensitivity to Temporal Aggregation of Meteorological Forcing Data: A Case Study for the Contiguous United States. Journal of Hydrometeorology, 23(2). https://doi.org/10.1175/JHM-D-21-0111.1

Zahura, F. T., & Goodall, J. L. (2022). Predicting combined tidal and pluvial flood inundation using a machine learning surrogate model. Journal of Hydrology: Regional Studies, 41, 101087. https://doi.org/10.1016/j.ejrh.2022.101087

Allen, T., Behr, J., Bukvic, A., Calder, R. S., Caruson, K., Connor, C., D’Elia, C., Dismukes, D., Ersing, R., Franklin, R., & Goldstein, J. (2021). Anticipating and Adapting to the Future Impacts of Climate Change on the Health, Security and Welfare of Low Elevation Coastal Zone (LECZ) Communities in Southeastern USA. Journal of Marine Science and Engineering, 9(11), 1196. https://doi.org/10.3390/jmse9111196

Bowes, B. D., Tavakoli, A., Wang, C., Heydarian, A., Behl, M., Beling, P. A., & Goodall, J. L. (2021). Flood mitigation in coastal urban catchments using real-time stormwater infrastructure control and reinforcement learning. Journal of Hydroinformatics, 23(3), 529–547. https://doi.org/10.2166/hydro.2020.080

Chen, A. B., Behl, M., & Goodall, J. L. (2021). Assessing the trustworthiness of crowdsourced rainfall networks: a reputation system approach. Water Resources Research, 57(12). https://doi.org/10.1029/2021WR029721

Choi, Y. D., Goodall, J. L., Sadler, J. M., Castronova, A. M., Bennett, A., Li, Z., Nijssen, B., Wang, S., Clark, M. P., Ames, D. P., Horsburgh, J. S., Yi, H., Bandaragoda, C., Seul, M., Hooper, R., & Tarboton, D. G. (2021). Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming Interfaces. Environmental Modelling & Software, 135, 104888. https://doi.org/10.1016/j.envsoft.2020.104888

Helmrich, A. M., Ruddell, B. L., Bessem, K., Chester, M. V., Chohan, N., Doerry, E., Eppinger, J., Garcia, M., Goodall, J. L., Lowry, C., & Zahura, F. T. (2021). Opportunities for crowdsourcing in urban flood monitoring. Environmental Modelling & Software, 143, 105124. https://doi.org/10.1016/j.envsoft.2021.105124

Maghami, I., Sobral, V. A., Morsy, M. M., Lach, J. C., & Goodall, J. L. (2021). Exploring the complementary relationship between solar and hydro energy harvesting for self-powered water monitoring in low-light conditions. Environmental Modelling & Software, 140, 105032. https://doi.org/10.1016/j.envsoft.2021.105032

Morsy, M. M., Lerma, N. R., Shen, Y., Goodall, J. L., Huxley, C., Sadler, J. M., Voce, D., O’Neil, G. L., Maghami, I., & Zahura, F. T. (2021). Impact of geospatial data enhancements for regional-scale 2D hydrodynamic flood modeling: Case study for the Coastal Plain of Virginia. Journal of Hydrologic Engineering, 26(4), 05021002. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002065

Praharaj, S., Chen, T. D., Zahura, F. T., Behl, M., & Goodall, J. L. (2021). Estimating impacts of recurring flooding on roadway networks: a Norfolk, Virginia case study. Natural Hazards, 107(3), 2363–2387. https://doi.org/10.1007/s11069-020-04427-5

Praharaj, S., Zahura, F. T., Chen, T. D., Shen, Y., Zeng, L., & Goodall, J. L. (2021). Assessing trustworthiness of crowdsourced flood incident reports using Waze data: A Norfolk, Virginia case study. Transportation Research Record, 2675(12). https://doi.org/10.1177/03611981211031212

Saby, L., Goodall, J. L., Band, L. E., Bowes, B. D., & Fults, M. (2021). Enhancing Efficacy of Water Quality Trading with Automation: A Case Study in Virginia’s Nutrient Trading Program. Journal of the American Water Resources Association, 57(3). https://doi.org/10.1111/1752-1688.12903

Saby, L., Nelson, J. D., Band, L. E., & Goodall, J. L. (2021). Nonpoint Source Water Quality Trading outcomes: Landscape-scale patterns and integration with watershed management priorities. Journal of Environmental Management, 294, 112914. https://doi.org/10.1016/j.jenvman.2021.112914

Stankovic, J. A., Alemzadeh, H., Campbell, B., Lach, J., Feng, L., Fleming, C., Goodall, J., Odumosu, T., Quinn, D., Tian, Y., & Tobler, K. (2021). A graduate curriculum in cyber-physical systems. IEEE Design & Test, 38(3), 112–120. https://doi.org/10.1109/MDAT.2020.3043376

Chen, M., Voinov, A., Ames, D. P., Kettner, A. J., Goodall, J. L., Jakeman, A. J., Barton, M., Harpham, Q., Cuddy, S. M., DeLuca, C., Yue, S., Wang, J., Zhang, F., Wen, Y., & Lu, G. (2020). Position paper: Open web-distributed integrated geographic modelling and simulation to enable broader participation and applications. Earth-Science Reviews. https://doi.org/10.1016/j.earscirev.2020.103223

Ercan, M. B., Maghami, I., Bowes, B. D., Morsy, M. M., & Goodall, J. L. (2020). Estimating potential climate change effects on the Upper Neuse Watershed water balance using the SWAT model. Journal of the American Water Resources Association, 56(1). https://doi.org/10.1111/1752-1688.12813

Essawy, B. T., Goodall, J. L., Voce, D., Morsy, M. M., Sadler, J. M., Choi, Y. D., Tarboton, D. G., & Malik, T. (2020). A taxonomy for reproducible and replicable research in environmental modelling. Environmental Modelling & Software. https://doi.org/10.1016/j.envsoft.2020.104753

O’Neil, G. L., Goodall, J. L., Behl, M., & Saby, L. (2020). Deep learning using physically-informed input data for wetland identification. Environmental Modelling & Software. https://doi.org/10.1016/j.envsoft.2020.104665

Sadler, J. M., Goodall, J. L., Behl, M., Bowes, B. D., & Morsy, M. M. (2020). Exploring real-time control of stormwater systems for mitigating flood risk due to sea level rise. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2020.124571

Saliba, A. M., Bowes, B. D., Adams, S., Beling, P. A., & Goodall, J. L. (2020). Deep reinforcement learning with uncertain data for real-time stormwater system control and flood mitigation. Water. https://doi.org/10.3390/w12113222

Zahura, F. T., Goodall, J. L., Sadler, J. M., Shen, Y., Morsy, M. M., & Behl, M. (2020). Training machine learning surrogate models from a high-fidelity physics‐based model: Application for real-time street-scale flood prediction in an urban coastal community. Water Resources Research. https://doi.org/10.1029/2019WR027038

Zell, W., Culver, T. B., Sanford, W., & Goodall, J. L. (2020). Quantifying background nitrate removal mechanisms in an agricultural watershed with contrasting subcatchment base-flow concentrations. Journal of Environmental Quality. https://doi.org/10.2134/jeq2018.11.0408

Bowes, B. D., Sadler, J. M., Morsy, M. M., Behl, M., & Goodall, J. L. (2019). Forecasting Groundwater Table in a Flood Prone Coastal City with Long Short-term Memory and Recurrent Neural Networks. Water, 11(5), 1098. https://doi.org/10.3390/w11051098

Felton, B. R., O’Neil, G. L., Robertson, M. M., Fitch, G. M., & Goodall, J. L. (2019). Using Random Forest Classification and Nationally Available Geospatial Data to Screen for Wetlands over Large Geographic Regions. Water, 11(6), 1158. https://doi.org/10.3390/w11061158

O’Neil, G. L., Saby, L., Band, L. E., & Goodall, J. L. (2019). Effects of LiDAR DEM Smoothing and Conditioning Techniques on a Topography‐Based Wetland Identification Model. Water Resources Research, 55(5). https://doi.org/10.1029/2019WR024784

Sadler, J. M., Goodall, J. L., Behl, M., Morsy, M. M., Culver, T., & Bowes, B. D. (2019). Leveraging open source software and parallel computing for model predictive control of urban drainage systems using EPA-SWMM5. Environmental Modelling & Software, 104518. https://doi.org/10.1016/j.envsoft.2019.07.009

Shen, Y., Goodall, J. L., & Chase, S. B. (2019). Condition State Based Civil infrastructure deterioration model on a structure system level. Journal of Infrastructure Systems, 25(1). https://doi.org/10.1061/(ASCE)IS.1943-555X.0000459

Shen, Y., Morsy, M. M., Huxley, C., Tahvildari, N., & Goodall, J. L. (2019). Flood risk assessment and increased resilience for coastal urban watersheds under the combined impact of storm tide and heavy rainfall. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2019.124159

Sridhar, V., Modi, P., Billah, M. M., Valayamkunnath, P., & Goodall, J. L. (2019). Precipitation Extremes and Flood Frequency in a Changing Climate in Southeastern Virginia. Journal of the American Water Resources Association, 55(4). https://doi.org/10.1111/1752-1688.12752

Alam, M. J., Ercan, M. B., Zahura, F. T., & Goodall, J. L. (2018). Using Geospatial Analysis and Hydrologic Modeling to Estimate Climate Change Impacts on Nitrogen Export - Case Study for a Forest and Pasture Dominated Watershed in North Carolina. ISPRS International Journal of Geo-Information, 7(7), 280–297. https://doi.org/10.3390/ijgi7070280

Essawy, B., Goodall, J. L., Zell, W., Voce, D., Morsy, M. M., Sadler, J. M., Yuan, Z., & Malik, T. (2018). Integrating scientific cyberinfrastructure to improve reproducibility in computational hydrology - Example using HydroShare and GeoTrust. Environmental Modelling & Software, 105, 217–229. https://doi.org/10.1016/j.envsoft.2018.03.025

Morsy, M. M., Goodall, J. L., O’Neil, G. L., Sadler, J. M., Voce, D., Hassan, G., & Huxley, C. (2018). A cloud-based flood warning system for forecasting impacts to transportation infrastructure systems. Environmental Modelling & Software, 107, 231–244. https://doi.org/10.1016/j.envsoft.2018.05.007

O’Neil, G. L., Goodall, J. L., & Watson, L. T. (2018). Evaluating the potential for site-specific modification of LiDAR DEM derivatives to improve environmental planning-scale wetland identification using Random Forest classification. Journal of Hydrology, 559, 192–208. https://doi.org/10.1016/j.jhydrol.2018.02.009

Sadler, J. M., Goodall, J. L., & Spencer, K. (2018). Modeling urban coastal flood severity from crowd-sourced flood reports using Poisson regression and Random Forest. Journal of Hydrology, 559, 43–55. https://doi.org/10.1016/j.jhydrol.2018.01.044

Sheffield, S. F., Goodall, J. L., Morsy, M. M., & Chen, A. B. (2018). Feasibility of using existing web services for on-demand data access within distributed environmental decision support systems. Journal of Hydroinformatics. https://doi.org/10.2166/hydro.2017.092

Alam, M. J., Goodall, J. L., Bowes, B. D., & Girvetz, E. H. (2017). The Impact of Projected Climate Change Scenarios on Nitrogen Yield at a Regional-Scale for the Contiguous United States. Journal of the American Water Resources Association, 53(4), 854–870. https://doi.org/10.1111/1752-1688.12537

Essawy, B. T., Goodall, J. L., Xu, H., & Gil, Y. (2017). Evaluation of the OntoSoft Ontology for describing metadata for legacy hydrologic modeling software. Environmental Modelling & Software, 92, 317–329. https://doi.org/10.1016/j.envsoft.2017.01.024

Morsy, M. M., Goodall, J. L., Castronova, A. M., Dash, P., Merwade, V., Sadler, J. M., Rajib, M. A., Horsburgh, J. S., & Tarboton, D. G. (2017). Design of a metadata framework for environmental models with an example hydrologic application in HydroShare. Environmental Modelling & Software, 93, 13–28. https://doi.org/10.1016/j.envsoft.2017.02.028

Nobles, A. L., Goodall, J. L., & Fitch, G. M. (2017). Comparing Costs of Onsite Best Management Practices to Nutrient Credits for Stormwater Management - A Case Study in Virginia. JAWRA Journal of the American Water Resources Association, 53(1), 131–143. https://doi.org/10.1111/1752-1688.12487

Sadler, J. M., Goodall, J. L., & Morsy, M. M. (2017). Effect of Rain Gauge Proximity on Rainfall Estimation for Problematic Urban Coastal Watersheds in Virginia Beach, VA USA. Journal of Hydrologic Engineering, 22(9). https://doi.org/10.1061/(ASCE)HE.1943-5584.0001563

Sadler, J. M., Haselden, N., Mellon, K., Hackel, A., Son, V., Mayfield, J., Blase, A., & Goodall, J. L. (2017). Impact of Sea Level Rise on Roadway Flooding in the Hampton Roads Region of Virginia. Journal of Infrastructure Systems, 23(4). https://doi.org/10.1061/(ASCE)IS.1943-555X.0000397

Shen, Y., Goodall, J. L., & Chase, S. B. (2017). A Method for Rapidly Assessing the Overtopping Risk of Bridges due to Flooding over a Large Geographic Region. Journal of the American Water Resources Association. https://doi.org/10.1111/1752-1688.12583

Billah, M. M., Goodall, J. L., Narayan, U., Essawy, B. T., Lakshmi, V., Rajasekar, A., & Moore, R. (2016). Using a data grid to automate data preparation pipelines required for regional-scale hydrologic modeling. Environmental Modelling & Software, 78, 31–39. https://doi.org/10.1016/j.envsoft.2015.12.010

Ercan, M. B., & Goodall, J. L. (2016). Design and implementation of a general software library for using NSGA-II with SWAT for multi-objective model calibration. Environmental Modelling & Software, 84, 112–120. https://doi.org/10.1016/j.envsoft.2016.06.017

Essawy, B. T., Goodall, J. L., Xu, H., Rajasekar, A., Myers, J. D., Kugler, T. A., Billah, M. M., Whitton, M. C., & Moore, R. W. (2016). Server-side workflow execution using data grid technology for reproducible analyses of data-intensive hydrologic systems. Earth and Space Science, 3(4), 163–175. https://doi.org/10.1002/2015EA000139

Gil, Y., David, C. H., Demir, I., Essawy, B. T., Fulweiler, R. W., Goodall, J. L., Karlstrom, L., Lee, H., Mills, H. J., Oh, J. H., & Pierce, S. A. (2016). Toward the Geoscience Paper of the Future - Best practices for documenting and sharing research from data to software to provenance. Earth and Space Science, 3(10), 388–415. https://doi.org/10.1002/2015EA000136

Resort, J. S., Morsy, M. M., Castronova, A. M., Goodall, J. L., Gan, T., Yi, H., Stealey, M. J., & Tarboton, D. G. (2016). Hydroshare - Sharing Diverse Environmental Data Types and Models as Social Objects with Application to the Hydrology Domain. Journal of the American Water Resources Association, 52(4), 873–889. https://doi.org/10.1111/1752-1688.12363

Horsburgh, J. S., Tarboton, D. G., Idaszak, R., Ames, D. P., Goodall, J. L., Merwade, V., Couch, A., Hooper, R. P., Dash, P. M., Stealey, M. J., & Yi, H. (2016). HydroShare - Promoting Collaborative Publication, Interoperability, and Reuse of Hydrologic Data and Research Products. Conference Proceedings Papers. International Environmental Modelling and Software Society (iEMSs) 8th Intl. Congress on Env. Modelling and Software.

Morsy, M. M., Goodall, J. L., Shatnawi, F., & Meadows, M. E. (2016). Distributed Stormwater Controls for Flood Mitigation within Urbanized Watersheds - Case Study of Rocky Branch Watershed in Columbia, South Carolina. Journal of Hydrologic Engineering, 05016025. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001430

Parmar, R., Wolfe, K., Whelan, G., Laniak, G. F., Galvin, M., & Goodall, J. L. (2016). Documenting Models for Interoperability and Reusability. Conference Proceedings Papers. International Environmental Modelling and Software Society (iEMSs) 8th Intl. Congress on Env. Modelling and Software.

Billah, M. M., Goodall, J. L., Narayan, U., Reager, J. T., Lakshmi, V., & Famiglietti, J. S. (2015). A methodology for evaluating evapotranspiration estimates at the watershed-scale using GRACE. Journal of Hydrology, 574–586. https://doi.org/10.1016/j.jhydrol.2015.01.066

Goodall, J. L., Castronova, A. M., Huynh, N. N., Caicedo, J. M., & Hall, R. (2015). Simulation of integrated urban infrastructure systems - A service-oriented approach. Journal of Computing in Civil Engineering, 29(5). https://doi.org/10.1061/(ASCE)CP.1943-5487.0000364

Castronova, A. M., & Goodall, J. L. (2014). A hierarchical network-based algorithm for multi-scale watershed delineation. Computers & Geosciences, 72, 156–166. https://doi.org/10.1016/j.cageo.2014.07.014

Ercan, M. B., & Goodall, J. L. (2014). A Python Tool for Multi-Gage Calibration of SWAT Models using the NSGA-II Algorithm. Conference Proceedings Papers. International Environmental Modelling and Software Society (iEMSs) 7th Intl. Congress on Env. Modelling and Software.

Ercan, M. B., Goodall, J. L., Castronova, A. M., Humphrey, M., & Beekwilder, N. (2014). Calibration of SWAT models using the cloud. Environmental Modelling & Software, 62, 188–196. https://doi.org/10.1016/j.envsoft.2014.09.002

Morsy, M. M., Goodall, J. L., Bandaragoda, C., Castronova, A., & Greenberg, J. (2014). Metadata for Describing Water Models. Conference Proceedings Papers. International Environmental Modelling and Software Society (iEMSs) 7th Intl. Congress on Env. Modelling and Software.

Castronova, A. M., Goodall, J. L., & Elag, M. M. (2013). Models as Web services using the Open Geospatial Consortium (OGC) Web Processing Service (WPS) standard. Environmental Modelling & Software, 41, 72–83. https://doi.org/10.1016/j.envsoft.2012.11.010

Castronova, A. M., Goodall, J. L., & Ercan, M. (2013). Integrated modeling within a Hydrologic Information System - An OpenMI based approach. Environmental Modelling & Software, 39, 263–273. https://doi.org/10.1016/j.envsoft.2012.02.011

Castronova, A. M., & Goodall, J. L. (2013). Simulating watersheds using loosely integrated model components - Evaluation of computational scaling using OpenMI. Environmental Modelling & Software, 39, 304–313. https://doi.org/10.1016/j.envsoft.2012.01.020

Elag, M., & Goodall, J. L. (2013). An ontology for component-based models of water resource systems. Water Resources Research, 49(8), 5077–5091. https://doi.org/10.1002/wrcr.20401

Ercan, M. B., & Goodall, J. L. (2013). Estimating watershed-scale precipitation by combining gauge and radar derived observations. Journal of Hydrologic Engineering, 18(8), 983–994. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000687

Goodall, J. L., Saint, K. D., Ercan, M. B., Baily, L. J., Murphy, S., DeLuca, C., & Rood, B. B. (2013). Coupling climate and hydrological models - Interoperability through Web services. Environmental Modelling & Software, 46, 250–259. https://doi.org/10.1016/j.envsoft.2013.03.019

Laniak, G. F., Olchin, G., Goodall, J. L., Voinov, A., Hill, M., Glynn, P., Geller, G., Quinn, N., Blind, M., Peckham, S., Reaney, S., Gaber, N., Kennedy, R., & Hughes, A. (2013). Integrated environmental modeling - A vision and roadmap for the future. Environmental Modelling & Software, 39, 3–23. https://doi.org/10.1016/j.envsoft.2012.09.006

Peckham, S. D., & Goodall, J. L. (2013). Driving plug-and-play models with data from Web services - A demonstration of interoperability between CSDMS and CUAHSI-HIS. Computers & Geosciences, 53, 154–161. https://doi.org/10.1016/j.cageo.2012.04.019

Alam, M. J., & Goodall, J. L. (2012). Toward disentangling the effect of hydrologic and nitrogen source changes from 1992 to 2001 on incremental nitrogen yield in the contiguous United States. Water Resources Research, 48(4), W04507. https://doi.org/10.1029/2011WR010967

Humphrey, M., Beekwilder, N., Goodall, J. L., & Ercan, M. B. (2012). Calibration of watershed models using Cloud Computing. Conference Proceedings Papers. 8th IEEE International Conference on eScience 2012.

Billah, M. M., & Goodall, J. L. (2011). Annual and interannual variations in terrestrial water storage during and following a period of drought in South Carolina, USA. Journal of Hydrology, 409(1-2), 472–482. https://doi.org/10.1016/j.jhydrol.2011.08.045

Elag, M. M., Goodall, J. L., & Castronova, A. M. (2011). Feedback loops and temporal misalignment in component-based hydrologic modeling. Water Resources Research, 47(12), W12520. https://doi.org/10.1029/2011WR010792

Goodall, J. L., Robinson, B. F., & Castronova, A. M. (2011). Modeling water resource systems using a service oriented computing paradigm. Environmental Modelling & Software, 26(5), 573–582. https://doi.org/10.1016/j.envsoft.2010.11.013

Castronova, A. M., & Goodall, J. L. (2010). A generic approach for developing process-level hydrologic modeling components. Environmental Modelling & Software, 25(7), 819–825. https://doi.org/10.1016/j.envsoft.2010.01.003

Goodall, J. L., Fay, J. P., & Bollinger, D. L., Jr. (2010). A software library for quantifying regional-scale nitrogen transport within river basin systems. Environmental Modelling & Software, 25(12), 1713–1721. https://doi.org/10.1016/j.envsoft.2010.04.007

Shatnawi, F. M., & Goodall, J. L. (2010). Comparison of flood top width predictions using surveyed and LiDAR-derived channel geometries. Journal of Hydrologic Engineering, 15(2), 97–106. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000161

Goodall, J. L., & Maidment, D. R. (2009). A spatiotemporal data model for river basin-scale hydrologic systems. International Journal of Geographical Information Science, 23(2), 233–247. https://doi.org/10.1080/13658810802032193

Poulter, B., Goodall, J. L., & Halpin, P. H. (2008). Applications of network analysis for adaptive management of artificial drainage systems in landscapes vulnerable to sea level rise. Journal of Hydrology, 357(3-4), 207–217. https://doi.org/10.1016/j.jhydrol.2008.05.022