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  1. Diagnosing Cryospheric Runoff Dynamics: A Distributed Differentiable Hydrological Model With Global Transfer Learning

    Article • Water Resources Research, August 2026, American Geophysical Union (AGU)

    Dr Gerald A. Corzo

  2. A Machine Learning Approach to Hydrological Event Detection from News-Informed Social Media Alerts

    Article • Water, July 2026, MDPI AG

    Dr Gerald A. Corzo

  3. Hybrid Approach for Flood Forecasting in Urban Innovation Districts (HIDS–Unicamp): Integrating PCSWMM, Neural Networks, and Explainable Artificial Intelligence

    Article • March 2026, Copernicus GmbH

    Dr Gerald A. Corzo

  4. Improving Soil Moisture and Evapotranspiration Simulations in an Intensively Irrigated Arid Region Using Noah-MP

    Article • March 2026, Copernicus GmbH

    Dr Gerald A. Corzo

  5. Integrating Machine Learning and Large Language Models for Next-Generation Water & Environmental Intelligence

    Article • March 2026, Copernicus GmbH

    Dr Gerald A. Corzo

  6. Machine Learning–Based Attribution of Hydroclimatic Extremes and Agricultural Yield Risk in the Brahmaputra Basin, Assam, India under CMIP6 Scenarios

    Article • March 2026, Copernicus GmbH

    Dr Gerald A. Corzo

  7. Spatiotemporal dynamics of pedestrian flood hazard in urban areas: beyond peak inundation maps

    Article • March 2026, Copernicus GmbH

    Dr Gerald A. Corzo

  8. Toward trustworthy AI in systematic reviews: a statistically validated AI-augmented framework for analysing knowledge transfer strategies in urban water management

    Article • March 2026, Copernicus GmbH

    Dr Gerald A. Corzo

  9. Unsupervised Machine Learning to Quantify Climate-Model Uncertainty for Resilient Water Resources Planning

    Article • March 2026, Copernicus GmbH

    Dr Gerald A. Corzo

  10. Use of Machine Learning techniques to identify scenarios for implementing Nature-based Solutions that best prevent flooding

    Article • March 2026, Copernicus GmbH

    Dr Gerald A. Corzo

  11. Assessing the Impact of Spatiotemporal Representation on Agricultural Water Accounting Using Satellite Data

    Article • March 2026, Copernicus GmbH

    Dr Gerald A. Corzo

  12. Spatiotemporal changes of drought area as input for a machine-learning approach for crop yield prediction

    Article • Hydrology Research, January 2026, IWA Publishing

    Dr Gerald A. Corzo

  13. Spatiotemporal urban flood expansion and propagation by the percentage of nodes in flood assessment (PNFA)

    Article • Hydrology Research, January 2026, IWA Publishing

    Dr Gerald A. Corzo

  14. Combining data augmentation and hybrid modeling approaches for deep learning-based monthly streamflow forecasting

    Article • Journal of Hydrology, October 2025, Elsevier

    Dr Gerald A. Corzo

  15. Diagnosing Spatiotemporal Urban Flood Responses Under Shift Rainfall Variabilities

    Article • September 2025, Wiley

    Dr Gerald A. Corzo

  16. Analyzing the influence of spatial rainfall variability on reservoir outflow through interpretable data-driven modelling: an application in Tropical mountain basin

    Article • May 2025, Copernicus GmbH

    Dr Gerald A. Corzo

  17. Forecasting water levels using the ConvLSTM algorithm in the Everglades, USA

    Article • Journal of Hydrology, May 2025, Elsevier

    Dr Gerald A. Corzo

  18. Enhancing Reservoir Management for Sustainable Hydropower Generation: A Machine Learning-Driven Approach in Response to Increasing Extreme Events in Ecuador

    Article • January 2025, Copernicus GmbH

    Dr Gerald A. Corzo

  19. Spatial-temporal analysis of the impact of deforestation on the hydrological variability of the Amazon basin.

    Article • January 2025, Copernicus GmbH

    Dr Gerald A. Corzo

  20. Understanding the Amazon's Atmospheric Hydrology: Insights from ERA5 Data and Directional Transport Analysis 

    Article • January 2025, Copernicus GmbH

    Dr Gerald A. Corzo

  21. Machine Learning Analysis of Precipitation as Trigger for Shallow Landslides: Ometepe Island, Nicaragua

    Article • September 2024, MDPI AG

    Dr Gerald A. Corzo

  22. Coupling Deep Learning and Physically Based Hydrological Models for Monthly Streamflow Predictions

    Article • Water Resources Research, February 2024, American Geophysical Union (AGU)

    Dr Gerald A. Corzo

  23. Development of a hazard risk map for assessing pedestrian risk in urban flash floods: A case study in Cúcuta, Colombia

    Article • River, February 2024, Wiley

    Dr Gerald A. Corzo

  24. Improved drought forecasting in Kazakhstan using machine and deep learning: a non-contiguous drought analysis approach

    Article • Hydrology Research, January 2024, IWA Publishing

    Dr Gerald A. Corzo

  25. Assessing Cavitation Erosion on Solid Surfaces Using a Cavitation Jet Apparatus

    Article • HOLOS - ISSN 1807-1600, December 2023, Instituto Federal de Educacao, Ciencia e Tecnologia do Rio Grande do Norte (IFRN)

    Dr Gerald A. Corzo

  26. Multivariate regression trees as an “explainable machine learning” approach to explore relationships between hydroclimatic characteristics and agricultural and hydrological drought severity: case of study Cesar River basin

    Article • Natural Hazards and Earth System Science, December 2023, Copernicus GmbH

    Dr Gerald A. Corzo

  27. Locating Multiple Leaks in Water Distribution Networks Combining Physically Based and Data-Driven Models and High-Performance Computing

    Article • Journal of Water Resources Planning and Management, December 2023, American Society of Civil Engineers (ASCE)

    Dr Leonardo Alfonso, Dr Gerald A. Corzo

  28. Evaluating the impact of ponds on flood and drought mitigation in the Bagmati River Basin, Nepal

    Article • Hydrology Research, September 2023, IWA Publishing

    Dr Gerald A. Corzo

  29. A Spatiotemporal hydrological response of extreme urban floods in Ha Noi – Vietnam.

    Article • May 2023, Copernicus GmbH

    Dr Gerald A. Corzo

  30. Comparative performance of recently introduced Deep Learning models for Rainfall-Runoff Modelling

    Article • May 2023, Copernicus GmbH

    Dr Gerald A. Corzo

  31. Deep Learning for Probabilistic Forecasts Using Features from Rainfall Objects:  A Case Study in the Amazon Basin

    Article • May 2023, Copernicus GmbH

    Dr Gerald A. Corzo

  32. Evaluation of regional Rainfall-Runoff modelling using convolutional long short-term memory:  CAMELS dataset in US as a case study.

    Article • May 2023, Copernicus GmbH

    Dr Gerald A. Corzo

  33. Feature engineering strategies based on GIS and the SCS-CN method for improving hydrological forecasting in a complex mountain basin

    Article • May 2023, Copernicus GmbH

    Dr Gerald A. Corzo

  34. Multivariate regression tree approach to evaluate relationship between hydroclimatic characteristics and agricultural and hydrological droughts

    Article • May 2023, Copernicus GmbH

    Dr Gerald A. Corzo

  35. Spatio-temporal analysis of extreme hydrological events in a joint framework and its relationship with land-use land-cover change

    Article • May 2023, Copernicus GmbH

    Dr Gerald A. Corzo

  36. Spatiotemporal Identification and Characterization of Extreme Hydrometeorological Events Patterns in the Magdalena River Basin

    Article • May 2023, Copernicus GmbH

    Dr Gerald A. Corzo

  37. Sub-seasonal daily precipitation forecasting based on Long Short-Term Memory (LSTM) models

    Article • May 2023, Copernicus GmbH

    Dr Gerald A. Corzo

  38. Machine Learning and Committee Models for Improving ECMWF Subseasonal to Seasonal (S2S) Precipitation Forecast

    Article • April 2023, Copernicus GmbH

    Dr Gerald A. Corzo

  39. Multivariate regression trees as an ‘explainable machine learning’ approach to exploring relationships between hydroclimatic characteristics and agricultural and hydrological drought severity

    Article • April 2023, Copernicus GmbH

    Dr Gerald A. Corzo

  40. Model-Based Assessment of Preventive Drought Management Measures’ Effect on Droughts Severity

    Article • Water, April 2023, MDPI AG

    Dr Gerald A. Corzo

  41. Machine learning models to predict nitrate concentration in a river basin

    Article • Environmental Research Communications, December 2022, Institute of Physics Publishing

    Dr Gerald A. Corzo

  42. Machine Learning and Committee Models for Improving ECMWF Subseasonal to Seasonal (S2S) Precipitation Forecast

    Article • November 2022, Copernicus GmbH

    Dr Gerald A. Corzo

  43. Wet-environment Evapotranspiration and Precipitation Standardized Index (WEPSI) for drought assessment and monitoring

    Article • Hydrology Research, October 2022, IWA Publishing

    Dr Gerald A. Corzo

  44. Multi-Objective Optimization of Reservoir Operation using Machine Learning Models. Case study: Hatillo Reservoir in the Dominican Republic

    Article • September 2022, Wiley

    Dr Gerald A. Corzo

  45. Spatiotemporal changes of drought area as input for a machine-learning approach for crop yield prediction

    Article • August 2022, Copernicus GmbH

    Dr Gerald A. Corzo

  46. AI-enhanced drought forecasting: a case study in the Netherlands

    Article • March 2022, Copernicus GmbH

    Dr Gerald A. Corzo

  47. Analysis of spatiotemporal rainfall objects in hydrological ensemble forecast predictions 

    Article • March 2022, Copernicus GmbH

    Dr Gerald A. Corzo

  48. Bidimensional Spatiotemporal analysis of local atmospherically fluxes and regional moisture budgets in river basins

    Article • March 2022, Copernicus GmbH

    Dr Gerald A. Corzo

  49. Exploratory analysis of Sub-seasonal to Seasonal precipitation forecasting using Machine Learning Techniques

    Article • March 2022, Copernicus GmbH

    Dr Gerald A. Corzo

  50. Machine Learning Model to Reproduce Nature-Based Solutions for Flood and Drought Mitigation

    Article • March 2022, Copernicus GmbH

    Dr Gerald A. Corzo

  51. Machine Learning Techniques for Spatiotemporal drought patterns forecasting

    Article • March 2022, Copernicus GmbH

    Dr Gerald A. Corzo

  52. A framework for smart assessment of river health using machine learning

    Article • March 2022, Copernicus GmbH

    Dr Gerald A. Corzo

  53. Optimization of preventive drought management measures to alleviate the severity of agricultural and hydrological droughts

    Article • March 2022, Copernicus GmbH

    Dr Gerald A. Corzo

  54. Estimation of Hydropower Potential Using Bayesian and Stochastic Approaches for Streamflow Simulation and Accounting for the Intermediate Storage Retention

    Article • Energies, February 2022, MDPI AG

    Dr Gerald A. Corzo

  55. Machine-learning approach to crop yield prediction with the spatial extent of drought

    Article • November 2021, Copernicus GmbH

    Dr Gerald A. Corzo

  56. Fuzzy-Committees of Conceptual distributed Models

    Article • November 2021, Wiley

    Dr Gerald A. Corzo

  57. Use of near-real-time satellite precipitation data and machine learning to improve extreme runoff modeling

    Article • November 2021, Wiley

    Dr Gerald A. Corzo

  58. Three-dimensional clustering in the characterization of spatiotemporal drought dynamics: cluster size filter and drought indicator threshold optimization

    Article • November 2021, Wiley

    Dr Gerald A. Corzo

  59. Fuzzy-Committees of Conceptual distributed Model

    Article • November 2021, Wiley

    Dr Gerald A. Corzo

  60. Three-dimensional clustering in the characterization of spatiotemporal drought dynamics: cluster size filter and drought indicator threshold optimization

    Article • November 2021, Wiley

    Dr Gerald A. Corzo

  61. Wet-environment Evapotranspiration and Precipitation Standardized Index (WEPSI) for drought assessment and monitoring

    Article • September 2021, Wiley

    Dr Gerald A. Corzo

  62. Wet-environment Evapotranspiration and Precipitation Standardized Index (WEPSI) for drought assessment and monitoring

    Article • September 2021, Wiley

    Dr Gerald A. Corzo

  63. Spatio-Temporal Hydrological Model Structure and Parametrization Analysis

    Article • Journal of Marine Science and Engineering, April 2021, MDPI AG

    Dr Gerald A. Corzo

  64. Spatiotemporal Drought Risk Assessment Considering Resilience and Heterogeneous Vulnerability Factors: Lempa Transboundary River Basin in The Central American Dry Corridor

    Article • Journal of Marine Science and Engineering, April 2021, MDPI AG

    Dr Gerald A. Corzo

  65. A Machine Learning Sustainable Development Goals Model for Water Resources Serious Gaming. Case Study:  Combeima River, Colombia.

    Article • March 2021, Copernicus GmbH

    Dr Gerald A. Corzo

  66. Active Moving Area Identification using Machine Learning. Case study: Ometepe Island, Nicaragua

    Article • March 2021, Copernicus GmbH

    Dr Gerald A. Corzo

  67. Application of tree modeling techniques using Weka for the analysis of records of an erosion experiment on cohesive soils carried out by the Federal Highway Administration

    Article • March 2021, Copernicus GmbH

    Dr Gerald A. Corzo

  68. Evaluation of agricultural drought changes due to implementation of preventive drought management measures. Study case Torola basin

    Article • March 2021, Copernicus GmbH

    Dr Gerald A. Corzo

  69. Identification of Synchronicity in Deterministic Chaotic Attractors for the Downscaling Process in the Bogotá River Basin

    Article • March 2021, Copernicus GmbH

    Dr Gerald A. Corzo

  70. Natural Language Processing In Integrated Water Resources Management. Case Study: Three Bolivian River Basins

    Article • March 2021, Copernicus GmbH

    Dr Gerald A. Corzo

  71. Spatiotemporal and Synchronous Monitoring of Drought in the Dry Corridor of Central America

    Article • March 2021, Copernicus GmbH

    Dr Gerald A. Corzo

  72. An integrated method to study and plan aquifer recharge

    Article • March 2021, Copernicus GmbH

    Dr Gerald A. Corzo

  73. Impact of the Mean Areal Rainfall Calculation on a Modular Rainfall-Runoff Model

    Article • Journal of Marine Science and Engineering, December 2020, MDPI AG

    Dr Gerald A. Corzo

  74. ST-CORAbico: A Spatiotemporal Object-Based Bias Correction Method for Storm Prediction Detected by Satellite

    Article • Remote Sensing, October 2020, MDPI AG

    Dr Gerald A. Corzo

  75. Sensitivity analysis of data-driven groundwater forecasts to hydroclimatic controls in irrigated croplands

    Article • Journal of Hydrology, August 2020, Elsevier

    Dr Gerald A. Corzo

  76. Determination Of The Optimal Guide Curve For A Reservoir, Case Study Copa Dam, Boyacá

    Article • March 2020, Copernicus GmbH

    Dr Gerald A. Corzo

  77. Determination of particle transport patterns in a high mountain river influenced by the construction of reservoirs, using particle tracking techniques and hydrodynamic modeling, case study: Río La Miel.

    Article • March 2020, Copernicus GmbH

    Dr Gerald A. Corzo

  78. Dynamic assessment of flood inundation based on a spatiotemporal hydrological model feed by a dynamic representation of human activities

    Article • March 2020, Copernicus GmbH

    Dr Gerald A. Corzo

  79. Evaluation of the spatio-temporal development of hydrological droughts and its sensitivity to the choice of different parameters of the hydrological model. Case study: Magdalena-Cauca River basin – Colombia

    Article • March 2020, Copernicus GmbH

    Dr Gerald A. Corzo

  80. Forecasting landslides using a spatiotemporal analysis of remote sensing data

    Article • March 2020, Copernicus GmbH

    Dr Gerald A. Corzo

  81. Modelling the responses of extreme events hydrometeorological events in the landslides and floods of the Combeima river basin.

    Article • March 2020, Copernicus GmbH

    Dr Gerald A. Corzo

  82. Review, mathematical representation and classification of preventive drought management measures

    Article • March 2020, Copernicus GmbH

    Dr Gerald A. Corzo

  83. Spatio temporal visualization of soil critical sources areas to assess the dynamics of source pollution in agricultural management practices

    Article • March 2020, Copernicus GmbH

    Dr Gerald A. Corzo

  84. Interesting paper however there are some important questions

    Article • August 2019, Copernicus GmbH

    Dr Gerald A. Corzo

  85. A spatially enhanced data-driven multi-model to improve semi-seasonal groundwater forecasts in the High Plains aquifer, USA

    Article • Water Resources Research, June 2019, American Geophysical Union (AGU)

    Dr Gerald A. Corzo

  86. A Temperature-Scaling Approach for Projecting Changes in Short Duration Rainfall Extremes from GCM Data

    Article • Water, February 2019, MDPI AG

    Dr Gerald A. Corzo

  87. Impact of conservation tillage on nitrogen and phosphorus runoff losses in a potato crop system in Fuquene watershed, Colombia

    Article • Agricultural Water Management, October 2018, Elsevier

    Dr Gerald A. Corzo

  88. Hydrological Modeling of Climate Change Impacts in a Tropical River Basin: A Case Study of the Cauto River, Cuba

    Article • Water, August 2018, MDPI AG

    Dr. Enrique Vivoni, Dr Gerald A. Corzo

  89. Optimal Operation of the Eastern Nile System Using Genetic Algorithm, and Benefits Distribution of Water Resources Development

    Article • Water, July 2018, MDPI AG

    Dr Gerald A. Corzo

  90. Assessing the performance of near real-time rainfall products to represent spatiotemporal characteristics of extreme events: case study of a subtropical catchment in south-eastern Brazil

    Article • International Journal of Remote Sensing, June 2018, Taylor & Francis

    Dr Gerald A. Corzo

  91. Development and testing of a river basin management simulation game for integrated management of the Magdalena-Cauca river basin

    Article • Environmental Modelling & Software, April 2017, Elsevier

    Dr Gerald A. Corzo

  92. Data-driven techniques for modelling the gross primary production of the páramo vegetation using climate data: Application in the Ecuadorian Andean region

    Article • Ecological Informatics, December 2016, Elsevier

    Dr Gerald A. Corzo

  93. Nile River Basin modelling for water resources management – a literature review

    Article • International Journal of River Basin Management, October 2016, Taylor & Francis

    Dr Gerald A. Corzo

  94. Simulating Gross Primary Production and Stand Hydrological Processes of páramo Grasslands in the Ecuadorian Andean Region Using the Biome-BGC Model

    Article • Soil Science, July 2016, Wolters Kluwer Health

    Dr Gerald A. Corzo

  95. Altitudinal analysis of carbon stocks in the Antisanapáramo, Ecuadorian Andes

    Article • Journal of Plant Ecology, November 2015, Oxford University Press (OUP)

    Dr Gerald A. Corzo

  96. Measuring domain decomposition effect in estuary model parallelization using high performance computer

    Article • October 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Gerald A. Corzo

  97. On the spatio-temporal analysis of hydrological droughts from global hydrological models

    Article • Hydrology and Earth System Sciences, September 2011, Copernicus GmbH

    Dr Gerald A. Corzo

  98. Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 1: Concepts and methodology

    Article • Hydrology and Earth System Sciences, October 2010, Copernicus GmbH

    Dr Gerald A. Corzo

  99. Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 2: Application

    Article • Hydrology and Earth System Sciences, October 2010, Copernicus GmbH

    Dr Gerald A. Corzo

  100. Rainfall–interception–evaporation–runoff relationships in a semi-arid catchment, northern Limpopo basin, Zimbabwe

    Article • Hydrological Sciences Journal, July 2010, Taylor & Francis

    Dr Gerald A. Corzo

  101. Baseflow separation techniques for modular artificial neural network modelling in flow forecasting

    Article • Hydrological Sciences Journal, June 2007, Taylor & Francis

    Dr Gerald A. Corzo

  102. Knowledge-based modularization and global optimization of artificial neural network models in hydrological forecasting

    Article • Neural Networks, May 2007, Elsevier

    Dr Gerald A. Corzo