| Abdelkader | Mohamed | Investigating river ice climatology using in situ and remote sensing observations to support operational streamflow forecast using the NWM |
| Abdallah | Adel | The Western States Water Data Access and Analysis Tool (WestDAAT) |
| Ames | Daniel P. | Leveraging Google Cloud Data Services for Improving Access to Current and Historical National Water Model Forecasts |
| Anshuman | Aatish | Estimation of episodic recharge in snow-dominated regions |
| Beck | John | Adapt Precipitation Super-Resolution Techniques for Operational Flood Forecasting |
| Balachandran | Shivakumar | Numerical and Machine Learning Models for the Study of Dam Break Waves |
| Bindas | Tadd | Improving Large-basin Streamflow Simulation Using a Modular, Differentiable, Learnable Graph Model for Routing |
| Butters | Rebecca | Nutrients in Utah Lake Behave as a Buffered System: Suspended Sediments and Sorption Impacts on Water Column Phosphate Concentrations |
| Bryant | Seth | Resolution Enhancement of Flood Inundation Grids |
| Carter | Andy | TX-Bridge: Flood Warnings for Bridges |
| Casson | David | Mountainous Snow and Rain Forecasting Testbed (MSRFT) |
| Chaudhari | Pratiksha | Deep Learning for Real-Time Microplastic Detection in Environmental Samples |
| Clemins | Patrick | Northeast Evaluation Testbeds |
| Erazo | Carlos | HydroLang Compute Framework: A Suite of Libraries for Client-Side Hydrological Analyses |
| Erfani | Mohammad | A Large Dataset of Fluvial Hydraulic and Geometry Attributes Derived from Cross Section Observations Across the U.S.A. |
| Frame | Jonathan | Machine Learning for the Next-Generation Water Resources Modeling Framework |
| Ghosh | Mousumi | Influence of loss function on prediction accuracy of soil temperature in cold regions |
| Gupta | Aniket | Challenges in Simulating the Zero Flows: An Example from the Sacramento and San Joaquin Watershed |
| Johnson | Ryan | The National Snow Model: Machine Learning Snow Water Equivalent Inference Model |
| Khan | Masood | An Objective Framework for Location Based Assessment of Flood Risk Resilience in USA |
| Kilicarslan | Berina | High-resolution flood inundation mapping at the block-scale level in the New York City metropolitan area |
| Klenk | Kyle | Using Actors to increase scalability and fault tolerance of SUMMA |
| Knoben | Wouter | Streamlining large-domain terrestrial system model use through model configuration workflows and targeted model evaluation |
| Lesmes | Darlly Rojas | Improving the Accuracy of GEOGloWS ECMWF Global Hydrologic Model using a Bias Correction Methodology based on Quantile-Matching Approach |
| Liu | Hongli | pyVISCOUS: An open-source tool for computationally frugal global sensitivity analysis |
| Maghami | Iman | Preliminary Results of a Multi-Year Multi-Region Analysis of Flood Timing, Magnitude and Severity Using the National Water Model |
| Mahmoudikouhi | Sadaf | Future Tidal Level Exceeding the High Tide Flooding Threshold: A High Spatial Resolution Case Study of the US Coastlines |
| McDermott | Riley | Determination of Bankfull Channel Conditions Using Percentile Estimation and Regression |
| Mehedi | Md Abdullah Al | Predicting the Performance of Green Stormwater Infrastructure Using Multivariate Physics-Informed Long Short-Term Memory (LSTM) Neural Network |
| Miskin | Taylor | Flood Mapping using TDX-Hydro, AutoRoute, and FabDEM |
| Ramirez Molina | Abel Andres | Exploring Low-Code AI Techniques for Streamflow Reconstruction in the Po River Basin, Italy |
| Munasinghe | Dinuke | An Algorithm for Extraction of River Width from Harmonized Multi-platform Spaceborne Sensors |
| Najafi | Roja | Initial Design and Deployment of a Web Environment Portal for NOAA and CIROH Research |
| Nearing | Grey | Google’s Flood Forecasting System |
| Nikrou | Parvaneh | River Flood Mapping and Validation Using Observational Data |
| Oliveira | Gabriel de | Partnerships Welcome: Designing a Network of Eddy Covariance Flux Towers in the Mobile-Tensaw Delta |
| Philippus | Daniel | Near-Term, Seasonal, and Long-Term River Temperature Forecasting with the National Water Model |
| Tyler | Travis | Real-Time Water Forecasts on the Go: Development of a Mobile App for the National Water Model |
| Sohrabi | Meraj | Efficient Tropical Cyclone Scenario Selection Based on Cumulative Likelihood of Impacts |
| Song | Yalan | When ancient numerical demons meet physics-informed machine learning: Impacts of numerical accuracy on adjoint-based differentiable modeling |
| Tounsi | Achraf | Towards an operational early warning system for precipitation and flood nowcasting |
| White | Steven | Upscaling: Cross-Sectional Topographic Survey to Representative River Channels |
| Wu | Wei | Impact of Hydrological Extremes on Aboveground Biomass of Coastal Wetlands |
| Zarrabi | Reihaneh | Bankfull Channel Geometry Estimation over the Continental United States (CONUS) |
| Cardall | Anna C. | Google Earth Engine Notebooks for remote sensing models to generate coincident samples, perform feature engineering, and generate models using L1 regularization |
| Tanner | Kaylee B. | GEE Tools for Coincident Data Sampling, Feature Engineering, and Model development using L1-Regularization for Remote Sensing Data |
| Arnal | Louise | A reproducible data-driven workflow for probabilistic seasonal streamflow forecasting over North America |
| Barbosa | Sergio | GRACE Groundwater Subsetting Tool |
| Grunes | Anna | Summit-to-Shore Snow Observatory Network in Vermont |
| Hales | Riley Chad | Real time bias correction post processing for large hydrologic models |
| Holifield | Jennifer | Using the EPA Stormwater Management Model to Evaluate Efficacy of Green Infrastructure on Mitigating Flooding in an Underrepresented Coastal Community |
| Huber | Rachel | Improving the Accessibility of Climate Data |
| Larco | Karina | Enhancing Flood Inundation Mapping through Standardized Databases and Model Collaboration |
| Lee | Anzy | Characterizing channel variability functions using spectral analysis |
| Lozano | Jorge Sanchez | Improving the Accuracy of GEOGloWS ECMWF Global Hydrologic Model using a Bias Correction Methodology based on Quantile-Matching Approach |
| Niu | Guo-Yue | Representing preferential flow in macroscale hydrological models |
| San Antonio | Kelly | The impact of inundation and nitrogen on common saltmarsh species using marsh organ experiments |
| Sermet | Muhammed Yusuf | Development of an Intelligent Hydroinformatics Chatbot and Virtual Educational Assistant for Enhancing Learning and Research in the Hydrological Domain |
| Syner | Megan | Collaboration Across the Miles During Western Atmospheric River Events |
| Wood | Andrew | Development of a testbed for assessment and benchmarking of hydrologic prediction capabilities |
| Jamal | Jani Fathima | Incorporating an efficient dynamic routing model for rivers to predict dam break flows during floods |
| Dey | Hemal | Towards a more comprehensive assessment of flood risk: Mapping flood susceptibility and social vulnerability |
| Quebbeman | Jonathan A. | Extended Hydrologic Prediction Project (EHP) – a multi-model sub-seasonal forecasting system in India |
| Frame | Jonathan M. | Machine learning for a heterogeneous water modeling framework |
| Wolvin | Savanna | Evaluation of a Convolutional Neural Network to Predict Wintertime Orographic Precipitation Gradients of the Western CONUS |
| van der Heijden | Ryan | Variable Drought Threshold Method for Low-Flow Behavior Reveals Distinct Clustering Across the Continental United States |
| Myers | Molly | Unraveling Public Evacuation Likelihood: Structural Equation Models and the Extended Parallel Process Model in Focus |
| Lewis | Gabriel | Novel Approaches to Improving Operational Flood and Water Supply Forecasting Across the Sierra Nevada |
| Neisary | Savalan | Accounting for the impacts of Reservoir Operations, Diversions, and Unaccounted for Water Losses on NWM flows with Machine Learning: Towards Season-to-Season Water Supply Forecasting with the NWM |
| Arnal | Louise | FROSTBYTE: A reproducible data-driven workflow for probabilistic seasonal streamflow forecasting in snow-fed river basins across North America |
| Amanambu | Amobichukwu C. | U-NETwet : A Deep Learning Approach for Predicting River Depth and Floodplain Inundation |
| Hughes | Mimi | Improving NOAA’s water tools through physically motivated, data-driven, and hybrid modeling techniques |
| Balerna | Jessica | Community perceptions and preferences for mitigating flood risk via nature-based solutions |
| Wilkie | Lylie | Air flow modeling in Stormwater Collection Networks. Comparison of modeling approaches |
| Neisary | Savalan Naser | Accounting for the impacts of Reservoir Operations, Diversions, and Unaccounted for Water Losses on NWM flows with Machine Learning: Towards Season-to-Season Water Supply Forecasting with the NWM |
| Torkomany | Mohamed R. | Pressurization of Stormwater Mains: Comparison between Simulation and Real-World Data |
| Rosales-Lagarde | Laura | Open-source data loggers as a research and teaching tool to explore Lake Mead water temperature responses to weather events |
| Taylor | Lakelyn E. | Analyzing Flood Warning Communication in Local Communities Using the IDEA Model |
| Ames | Daniel P. | Channelling the Data Deluge – A New CIROH API for Near-Instant Access to Any Historical NWM Streamflow Forecast. |
| Quainoo | Ruth | A National Survey of Flood Hazard Crisis and Risk Perceptions in the United States |
| Habib | Emad | Supporting CIROH Workforce Development Needs with HydroLearn |
| Battula | Suma B. | Characteristics and skill of extreme precipitation related to atmospheric rivers and non-atmospheric rivers over the Southeast U.S. |
| Alam | Md. Shahabul | Community Streamflow Evaluation System: Developing a Python-based tool and Tethys-based web app |
| Jones | Norm | Advancing Science to Better Characterize Drought and Groundwater-Driven Low-Flow Conditions in NOAA and USGS National-Scale Models |
| Alam | Md. Shahabul | Strategies for evaluating the performance of NHDPlus-based continental-scale hydrologic models in predicting flood and drought events |
| Ramirez | Carlos Erazo | HydroSuite: Open-Source Community-Oriented Software Suite for Hydrological Research and Education |
| Rosenhoover | Marshall | Super-Resolution of Radar-Based Precipitation Data using Ground Sensors |
| Oldham | Sam | Expanding the Impact of the NWM FIM Capability by Adding Other Hydraulic Model Outputs |
| Burakowski | Elizabeth | Northeast Snow Survey (NESS): A feasibility study to develop an automated snowpack and climate monitoring network in the northeast United States |
| Larco | Karina | Driving Impact in Hydrologic Modeling and Forecasting |
| Kemper | John T. | Forecasting water quality from National Water Model outputs at actionable scales |
| Scamardo | Juli | Incorporating Floodplain Topographic Features to Improve Channel Routing |
| Towler | Erin | Enhancing ensemble streamflow predictions using post-processed precipitation forecasts |
| Soares | Rodrigo | The Great Vermont Floods of 2023: A communication assessment. Stakeholders perceptions and lessons learned. |
| Lamont | Sam | Benchmarking open-source technologies for storing and querying time series data at scale |
| Vora | Anav | Changes in Regional Water Availability Resulting from Human Interferences in Hydrology |
| Henein | Moheb M. R. | A Framework for Restoring and Processing Degraded Images from USGS Hydrologic Imagery Visualization and Information System |
| Morales-Velazquez | Mirce | A Machine Learning Approach for Enhancing National Water Model Streamflow Forecasts in Montane Headwater Catchments |
| Maghami | Iman | A Multi-Year Multi-Region Analysis of Flood Timing, Magnitude and Severity in Comparison to the National Water Model Forecasts |
| Najafi | Roja | Improving the NWM Streamflow Predictions Using a Hybrid LSTM Model Across Climatic Regions |
| Hales | Riley | Technologies from NASA, NOAA, and International Hydrology Projects with applications in CIROH |
| Phillips | Colin | Leveraging high-resolution topography to quantify the variable nature of river width |
| McDermott | Riley | Estimation of River Channel Shape Using Regression and Machine Learning Approaches |
| Ebrahimi | Ehsan | Enhancing Water Management Modelling through Extended Hydrofabric |
| Aghababaei | Amin | Nationwide Identification of Baseflow Dominant Periods: Integrating Manual Expertise into Machine Learning |
| Masood | Ali Khan | Quantifying and Mapping Biases in Flood Risk Perceptions: Findings from a US National Survey. |
| Nikrou | Parvaneh | Flood Inundation Mapping Analysis for the Neuse River in North Carolina: Intercomparison of Hydrodynamic and Topography-Based Models for Improved Accuracy and Computational Efficiency |
| Falck | Aline | Assessing the National Water Model for flood forecasting in tropical islands |
| Markert | Kel N. | Design and Implementation of a Big Query Dataset and Application Programmer Interface (API) for the U.S. National Water Model |
| Seyvani | Sadra | Assessing Accuracy and Limitations: Current InSAR-Based Flood Inundation Mapping Algorithms Across Diverse Terrains Characteristics and Conditions |
| Gupta | Aniket | Developing a plant hydraulics module compatible with BMI of the NextGen Framework |
| Jawad | Muhammad | Identifying the HUC-12 scale potential recharge area in the San Pedro basin using the NextGen Framework |
| Abdelkader | Mohamed | A Framework for Forecasting Streamflow Temperature and Ice Phenology Utilizing the NOAA National Water Model |
| Li | Xueyi | BASEFLOW: A Python package for digital baseflow separation and analysis |
| Chapagain | Abin Raj | Evaluation of the National Water Model’s Retrospective Evapotranspiration Using Eddy-Covariance Flux Tower Measurements across the Continental United States |
| Sermet | Yusuf | Enhancing Hydroinformatics Research, Operation, and Education through Virtual Reality, Artificial Intelligence, and Gaming |
| Balachandran | Shivakumar | Machine Learning Models for Levee Breach Flow Estimation |
| Demir | Ibrahim | Conversational AI, Digital Twins, and Metaverse in Water Resources Research, Education and Operations |
| Lee | Anzy | The invisible HAND: Assessing HAND across channel settings, terrain resolutions and flow stages |
| Cho | Huidae | Memory Efficiency in Parallel Computation of Continental-Scale Hydrologic Parameters |
| Cho | Huidae | Open-Source Hydrology Using GRASS GIS |
| Castejon | Jose | Can a single rating curve really capture the complexity of a river reach? Yes. |
| Dhital | Supath | A Detailed Comparison between OWP HAND-FIM and HEC-RAS Predictions |
| Perez | Alessandra | Leveraging Hydroclimatic Forecasts and Policy Design for Reservoir Reoperation |
| Zarrabi | Reihaneh | Bankfull and Mean Flow River Channel Geometry Estimation for the CONtiguous United States (CONUS) using Machine Learning for Hydrological Applications |
| Hong | Yi | Challenges and Opportunities for the National Water Model applications Over the Laurentian Great Lakes Region |
| Webster-Esho | Eniola | Gradient-based Method for Automatically Generating Labelled Baseflow Dataset |
| Knoben | Wouter | Developing perceptual models of hydrologic behavior across the North American continent |
| Anderson | Jacob | Streamlining Streamflow: Post-Processing National Water Model Long-Range Forecasts with Machine Learning |
| DiPietro | Thomas | Modeling of Snowpack in The Northeast Using iSnobal |
| Horsburgh | Jeffery S. | Advancing HydroServer for Collecting, Managing, and Sharing Operational Hydrologic Monitoring Data |
| Thébault | Cyril | Large-sample hydrology across North America within a spatially distributed framework |
| Sturtevant | Josh | Experimental Use of the NextGen Water Resources Modeling Framework for Streamflow Prediction in Clear Creek, Colorado |
| Clemins | Patrick J. | Computational Workflow Design for a Cyanobacterial Harmful Algal Bloom (CyanoHAB) Forecast Skill Elasticity Experiment |
| Beckage | Noah B. | Data Acquisition Framework Design for Model Input Data |
| Zhang | Wei | Modeling the Great Salt Lake with VIC and WRF-Lake |
| Mehan | Sushant | Surface soil moisture simulations for crop lands using Remote Sensing and Machine Learning Approaches |
| Dhondia | Juzer | Towards the Integration of NextGen Water Prediction Tools into Operational Forecasting Systems at NWS River Forecast Centers |
| Chaudhari | Pratiksha | Using Deep Learning for Detection of environmental samples of Microplastic in Real-Time |
| Sthapit | Engela | LSTM Shows Promise in Estimating Snow Water Equivalent in Sierra Nevada |
| Khan | Masood Ali | Quantifying and Mapping Biases in Flood Risk Perceptions: Findings from a US National Survey |
| Lee | Anzy | Probabilistic quantification of within-reach hydraulic geometry variability to support probabilistic HAND FIM |
| Abdelkader | Mohamed | Precipitation Frequency and Storm Analysis in Operational Hydrology |
| Philippus | Daniel | Daily Stream Temperature Predictions for Ungaged Watersheds with NextGen |
| Bravo Mendez | Jorge | Assessing streamflow forecast over the Hackensack River Watershed using physics- and AI-driven weather prediction models |
| Krewson | Corey | TethysDash: A User Driven Customizable Data Viewer |
| Swain | Nathan | Why 2025 Is the Year to Go All-In on Tethys at CIROH Dev Con |
| Rosales-Lagarde | Laura | Hurricanes, floods and groundwater HydroLearn Module |
| Baude | David | Classification of Optimal Channel Routing Method for Improved Streamflow Prediction |
| Jennings | Keith | Can We Improve Precipitation Phase Partitioning in the National Water Model and NextGen Formulations? (Yes) |
| Maiorca | Cathrine | HydroLearn Module Development: Advancing CIROH’s Research-to-Operations Pipeline Through Virtual Hackathon and Workshop Innovation |
| Mondol | Sujan Chandra | New CIROH REST API: Fast and Flexible NWM Data Access |
| Quainoo | Ruth | Gaps in Public and Emergency Manager Flood Communications and Perceptions |
| Shi | Jianting | Drag and Drop Data Visualization with Tethys Dash |
| Arnal | Louise | Improving Operational Ensemble Hydrologic Forecasting in the USA with NextGen Capabilities |
| Castejon | Jose | Quantifying topographic variability as a key indicator of HAND-FIM performance |
| Clark | Martyn | Probabilistic predictions across large geographical domains |
| Corona | Claudia | Evaluation of Machine Learning Applications and Assessment Metrics in Stream Water Temperatures Models |
| Demir | Ibrahim | AI, Digital Twins, and Metaverse in Hydrology Research, Education and Operations |
| Ebrahimi | Ehsan | Enhancing Water Management Modelling through Extended Hydrofabric |
| Garcia | Jerson | A Cross-Platform Mobile App for Visualizing U.S. River Flow Using the National Water Model |
| Johnson | Ryan | Combining Large-Domain meteorological datasets and remote sensing products in a Machine Learning framework to create high spatial resolution snow-water-equivalent maps |
| Liljestrand | Dane | Snow-Probe Measurements, LiDAR, and Machine Learning for Modeling Snow Distribution in Complex Terrain |
| Mahjarin | Tasfia | Introducing Tethys Dash: Low-Code/No-Code Interactive Dashboards for Water Resources Management |
| Men | Jilin | Quickly Mapping Water Quality Parameters with Google Earth Engine |
| Morrow | Nolan | Leveraging Time-Series UAV LiDAR to Uncover Microtopographic Drivers of Snow Accumulation and Melt |
| Mukangango | Juliette | Benchmarking the relative quality of available meteorological input datasets for large domain streamflow and snow (hence, hydrology) modeling |
| Tarboton | David | Enabling collaboration through data and model sharing with CUAHSI HydroShare |
| Wallace | Ryan | HydroLearn Module: Real-time spatial-temporal assessments of Harmful Algae Blooms (HABs) |
| Zhang | Wei | Quantifying the impacts of climate forcing on water availability |
| Mathews | Ian | An Alternative Method to Calibration for Improving Large-Scale Models Locally |
| Bano | Rakhshinda | What Limits Our Forecasts? Input Variable Sensitivity in 30-Day HABs Predictions |
| Baruah | Anupal | FIMserv v.1.0: A Tool for Streamlining Flood Inundation Mapping (FIM) Using the United States Operational Hydrological Forecasting Framework |
| Battula | Suma Bhanu | Forecast Uncertainty in Extreme Precipitation Caused by an Atmospheric River and Mesoscale Convective Systems over the Southeastern United States in March 2021 |
| Chaudhari | Pratiksha | Integrating ML Algorithms for Hydrological Workflow Optimization |
| Chen | Yixian | Improved River Slope Datasets for the United States Operational Flood Inundation Mapping Hydrofabic and Next Generation Water Resources Modeling Hydrofabric |
| Cho | Huidae | Longest Flow Paths, Shortest Compute Times |
| Cossey | Adam | Optimizing Snow Monitoring in Complex Terrain with Low-Cost Sensor Systems and Machine Learning |
| Devi | Dipsikha | Evaluating Flood Inundation Mapping Predictions Using Large-Scale Benchmark Datasets |
| Dhital | Hari | Investigating Scale-dependent Performance of Hydrologic Simulations Using the Hillslope-Link Model |
| Dhital | Supath | Towards post processing enhancement of NOAA operational Flood Inundation Mapping (OWP HAND-FIM) through Surrogate Modeling |
| Falck | Aline | Applying the NextGen National Water Model to Improve Flood Forecasting Across the Hawaiian Islands |
| Gul | Ismail | Advancing the Monitoring of Pluvial Flood Inundation Using Low-Cost IoT-based Rainfall and Water Level Sensor Network |
| Kemper | John | Forecasting water quality in gaged and ungaged watersheds using the National Water Model |
| Laser | Jordan | NextGen National Water Model Framework DataStream |
| Lawson | Scott | Ripple1D: Repurposing FEMA’s inventory of HEC-RAS models for use in Operational Flood Inundation Mapping |
| Li | Ziyu | Incorporating a differentiable version of CFE into Neural Hydrology to train CFE parameters for use in NextGen |
| Lonzarich | Leo | Harmonizing Differentiable Hydrologic Modeling: From Development to NextGen Deployment with δMG |
| Maghsoodifar | Faezeh | Establishing a Flood Threshold-Based Framework for Resilient Coastal Transportation Infrastructure |
| Marasini | Ujjwal | Snow Water Equivalent Prediction for Northern New Mexico Using the Convolutional LSTM Machine Learning Method |
| Moon | Cooper | Informing Post-Wildfire Hydrologic Modeling with LSTM-Based Streamflow Models |
| Muxworthy | Madison | Snow to Flow: Coupling iSnobal-HRRR and Sac-SMA in the Upper Colorado River Basin |
| Naser Neisary | Savalan | Improving NextGen Streamflow Simulations Using a Post-Processing Machine Learning-based Framework |
| Park | John | Integrated Hydrologic Ensemble Forecast Evaluation System |
| Pulling | Rhys | A working basin-scale evaluation of the pros and cons of a using heterogeneous multi-model mosaics for streamflow simulation |
| Quansah | Joseph | The Development of An Agricultural Water Risk Assessment and Management System Utilizing National Water Model (NWM) Forecast and Soil Moisture Products |
| Roe | William | Prototype of a snow energy and mass balance monitoring system to support distributed observations and modeling in headwater catchments |
| Rosenhoover | Marshall | Fusing Radar and Personal Weather Station Data for Spatial Rain Rate Field Generation Using Machine Learning |
| Saleh Alipour | Reza | Sensitivity of Flood Inundation Mapping to Digital Elevation Data, Building Footprints, and Land Use/Land Cover |
| Schreiber | Nadia | Leveraging Probabilistic Forecasting in NextGen: Evaluating GEFS-Based Streamflow Predictions Across Hydrologic Models |
| Sigman | Aaron | High-Resolution Suspended Sediment Concentration Dynamics along River Corridors |
| Sturtevant | Josh | A Community Protocol for Short-Range Streamflow Forecast Evaluation across CONUS Headwater Catchments: Examples from the CIROH Hydrologic Prediction Testbed |
| Williams | Garnet | Integrating terrestrial, snowpack, and meteorological drivers of runoff generation during winter thaws in a montane catchment of the Northeastern U.S. |
| Wood | Andy | Never train a process-based hydrology model on a single basin? Applying lessons from deep learning in hydrology to the calibration of traditional land/hydrology models. |
| Yavari | Fatemeh | Recent trends in the frequency and duration of flash floods in the United States |
| Zand | Saide | GEE-FMF: A Google Earth Engine-Based Machine Learning Framework for Efficient Regional Flood Mapping |
| Kemper | John | Forecasting water quality in gaged and ungaged watersheds using the National Water Model |
| Wagle | Pitamber | A Collaborative Approach for National-Scale FLood Mapping Using Multiple FIM Sources |
| Ritchie | Ethan | Development of a CIROH testbed for benchmarking snow water equivalent models and products |
| Cho | Huidae | HydroLearn Module: CIROH CE483 – Flood Inundation Mapping Using Machine Learning for Sustainable vs. Resilient Design |
| Seyvani | Sadra | FIM-Combinator: A Neural Network-Based Integration of HEC-RAS, LISFLOOD-FP, and OWP-HAND-FIM for Enhanced Flood Inundation Mapping |
| Nikrou | Parvaneh | Low-Complexity, DEM-Based Flood Inundation Modeling for Near Real-Time Dam Failure |
| Khan | Masood Ali | Emergency Managers’ Practices and Social Vulnerability Trends in U.S. Flood-Affected Counties: A Decade-Long Mixed-Methods Study (2014–2024) |
