CIROH Developers Conference 2026 Abstracts

Abstracts 

Lead Author Last Name	Lead Author First Name
McDermott	Riley	Determination of Bankfull Channel Conditions Using Percentile Estimation and Regression
Zarrabi	Reihaneh	Bankfull Channel Geometry Estimation over the Continental United States (CONUS)
Abualqumboz	Motasem	Componentizing the HBV Hydrological Model Using the Basic Model Interface: Integration and Multi-Model Applications in the NextGen Framework
Adil	Muhammad	Reliability Aware Multi-Source Fusion for QPE Bias Correction in Radar-Blocked and Gauge-Sparse Regions
Aghababaei	Amin	Low Flow Analyst: A Web-Based Application for Baseflow Analysis and Low-Flow Forecasting
Agrawal	Tarun	A physics informed machine learning framework for baseflow separation
Alaya	Rabi	Browser-Native Radar Visualization: Three Open Web Tools for NEXRAD and MRMS Data Exploration
Nyambega	Ann	Co-Developing an Integrated Evaluation Toolkit for Nature-Based Solutions in Hawaii
Alexander	Brodie	MoltenFIL: Memory-efficient, parallelized Fill Sinks to enable large-scale terrain processing
Saleh Alipour	Reza	A Multi-Scale Comparison of Hydrodynamic and Terrain-Based Models for Operational Flood Inundation Mapping
Ames	Dan	CIROH NWM API 2.0: Retrospective Data, Flow Statistics, and Geographic Query
Ayyad	Mahmoud	Forecasting River Ice Breakup in the Northeast RFC Domain using Machine Learning
Baruah	Anupal	Forecast-Horizon Based Probabilistic Approach for Communicating Uncertainty in Operational Flood Inundation Mapping
Bhanu Battula	Suma	Ensemble Streamflow Forecasting Using Deep Learning: A Case Study of Tropical Cyclone Helene
Diehl	Rebecca	Assessing Where HAND-Based Approaches Are Suitable for Flood Inundation Mapping
Beckage	Noah B.	Back-end Design of the Next Generation QPE Workflow for RFC Operations
Chaudhari	Pratiksha	Scalable Preprocessing and Visualization of NWM Retrospective Data for Basin-Scale Streamflow Modeling
Chen	Yixian	Spatial and Temporal Variability in Global River Slopes from the Surface Water and Ocean Topography (SWOT) Satellite
Cherif	Baya	A SLSTR-Based Framework for Operational Monitoring of River Ice and Surface Conditions
Corrigan	Rachel	Assessing the effects of uncertainty in windspeed and precipitation forcings on lateral snow redistribution in mountainous basins
Currier	William	Does Deep Learning Absorb Ensemble Forecast Post-Processing Benefits for Probabilistic Streamflow Prediction?
DeBree	Schuyler	Visualizing audience insights: How lead time, certainty, and severity of forecasts impact flash flood decision making.
Demir	Ibrahim	Flood Risk Management in the Age of AI: Towards an AI-Augmented Training, Communication, and Decision Support
Devi	Dipsikha	FIMbench: A Benchmark Database of Multi-Tier Flood Inundation Maps for Large-Scale Evaluation
Dhital	Hari	Evaluation of Deep Learning-Based Short-Term Rainfall Forecasting for Streamflow Prediction
Dhital	Supath	A CIROH flood inundation mapping (FIM) ecosystem: towards a unified framework for flood mapping, evaluation, and dissemination
Dhondia	Juzer	Research to Operations – Current work to bring CIROH Research to Operations
Dondeti	Vamsi	GUI Design of the Next Generation QPE Workflow for RFC Operations
Farmani	Mohammad	Scoring Rule-Based LSTM Model for Flow Forecasting
Farmani	Mohammad	Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints
Frame	Jonathan	CIROH AI Strategy
Golitzin	Emily	Integrating Diverse Meteorological Inputs for Machine Learning-Based SWE Estimation in Complex Catchments
Grunes	Anna	Improved Snowmelt Modeling in the Northeastern United States
Hong	Yi	Towards a better development and application of the National Water Model in support of transboundary water prediction in the Laurentian Great Lakes region
Huang	Yu-Fen	What drives flash flooding in mountainous watersheds? A case-study approach from Hawaiʻi to Vermont
Hutchins	Christina	Evaluating National Water Model Performance in Regulated River Systems
Jawad	Muhammad	A Modified KGE Metric for Improved Training (information Extraction) and Evaluation of Dynamical Systems Models
Jiang	Peishi	Learning Watershed Memory: Coupling LSTMs with Differentiable SAS Functions for Transport Process Discovery
Johnson	Ryan	Collaborations with the APRFC and field campaigns to develop data-driven streamflow and stream temperature models for Alaska
Kaddour	Hamza	Deep Learning-Based Segmentation of Sentinel-1 SAR satellite imagery for River Ice detection with Weak Optical Supervision
Koriche	Sifan A.	HydroMORPH: Merging and Optimizing Resolutions for Predictive Hydrology via Hydrofabric and HRU Discretization
Lama	Sonam	Parallel Calibration Tool
Laser	Jordan	CIROH Community Forecast Testbed: NextGen Research Datastream
Lee	Anzy	Revising stream segmentation in the hydrofabric to improve OWP flood inundation mapping
Lemasters	Chris	Developing a Flash Flood Forecasting Protocol to Standardize Flash Flood Forecast Evaluations
Li	Xingong	Kansas Operational Flood Inundation Mapping System
Li	Ziyu	Training a differentiable CFE to estimate static parameters for use in NextGen
Li	Xueyi	GWBASE: A Scalable Framework to Quantify Groundwater–Baseflow Correlations Using Paired Well and Streamflow Observations
Liljestrand	Dane	Advancing Proglacial Soil Moisture Prediction in the Arctic Using LSTM Networks
Liu	Jiangtao	Geospatial Foundation Embeddings as Transferable Catchment Descriptors for Rainfall-Runoff Modeling
Lonzarich	Leo	Unified Advances in Differentiable Modeling for High-Performance Operational Streamflow Forecasting
Maghami	Iman	Toward a Modular RFC Application Framework for Hydrologic Decision Support within the TethysDash Ecosystem
Mahjarin	Tasfia	Basin-Scale Flood Inundation Mapping Web Application Using a FIMserve, HAND-Based Inundation and NWM Retrospective Discharge
Mandal	Tantu	Improving River Channel Morphological and Hydraulic Representation within the OWP Hydrofabric using High-Resolution SAR, LiDAR, and Deep Learning
Maughan	Brian	Creating a Flood Impact Model for a Global Flood Early Warning System
McLatchy	Liza	Hourly Stream Temperature Prediction with LSTMs: From CAMELS Basins Toward Southern Alaska
Bravo	Jorge	Assessing the use of the Model for Prediction Across Scales Atmosphere (MPAS) forecasts for Streamflow Prediction Using the NextGen in a Box
Modi	Parthkumar	Investigating the Impacts of Forcing Heterogeneities in the Next Generation Water Resources Modeling Framework
Mondol	Sujan Chandra	Empowering Decision-Making through LLM-Driven Autonomous Hydrologic Data Science
Munasinghe	Dinuke	A Scalable Framework for Generating Flood Inundation Maps from High-Water Marks
Neisary	Savalan Naser	Assessing the Relationship Between Reservoir Operations and Hydrological Drought Severity
Nikrou	Parvaneh	Transferable Deep Learning Flood Inundation Mapping Trained on LISFLOOD-FP Simulations
Olaseinde	Adeyinka	Hydrologic Dependence of AI Data Centers Across U.S. River Basins
Pathak	Sudip	Multi-Metric Evaluation of NWM Medium-Range and GEOGLOWS Streamflow Forecasts for Peak Events Across Lead Times in Humid Subtropical (Cfa) Regions
Philippus	Daniel	Large-Domain Coastal and Estuarine Water Temperature Prediction in NextGen
Phillips	Colin	Leveraging River Channel Geometry to Enable Probabilistic Flood Inundation Forecasts
Preucil	Anthony	Large-Scale calibration workflows within the SYMFLUENCE Modeling Platform
Raghav	Pushpendra	Dynamic Parameterization of the Priestley–Taylor Coefficient for Improved PET Estimation Using FluxNet Observations
Rosas	Louis	Global Riverine Flood Inundation Maps for the GEOGLOWS River Forecast System Using ARC and Curve2Flood with Ensembles of DEMs
Lee Russell	Quinn	CIROH’s Community Water Modeling Capabilities
Saberian	Mostafa	Uncertainty Quantification of Deep Neural Networks for Flood Prediction
Sauda	Samrin	Detection, Classification, and Characterization of Compound Coastal Flooding along the Gulf and Southeastern U.S. Coasts
Schuster-Wallace	Corinne	Results from a Coupled Human-Water Systems Modeling Think Tank for Advancing Social Models in Parallel with the NextGen Model
Seo	Jihee	Near-Real-Time Monitoring of Reservoir across the CONUS Using Multi-Sensor Satellite Observations and Deep Learning Techniques
Seyvani	Sadra	Deep-Learning-Based Benchmark Flood Inundation Mapping Using RGB Aerial Imagery
Hussain Shah	Majid	Sequence free LSTM training for long-term hydrological states
Sigman	Aaron	Suspended Sediment Concentration Dynamics along River Corridors
Stieve	Jared	How do adjusted rating curves improve flood inundation mapping following changes in hydraulic geometry?
Sturtevant	Josh	Building a Community Testbed for Hydrologic Prediction: Examples from CIROH Benchmarking Protocols
Teklu	Henok	Liquid Neural Network–Based Imputation of Missing Groundwater Time Series Under Sparse Observations
Liu	Hongxing	Rapid Automated Flood Extent and Depth Mapping with SAR and Optical Remote Sensing Imagery: Toolsets and Flood Map Products
Towler	Erin	Innovations toward enhanced ensemble streamflow predictions in NOAA’s HEFS and NextGen frameworks
Triana	Enrique	MODSIM-NextGen Integration via BMI: Architecture and Upper Colorado River Basin Pilot
Morales-Velazquez	Mirce	Drivers of poor National Water Model streamflow estimation performance during flood events in mountainous catchments across the Northeastern US
Castejon Villalobos	Jose	A terrain-based metric for predicting HAND Flood Inundation Mapping Skill
Di Vittorio	Courtney	HydroLearn: 2026 Hackathon and Community Engagement
Van Werkhoven	Katie	Pathways to improve the effectiveness of flash flood forecasts in mountain regions
Wolvin	Savanna	Prediction of Derived and Crowdsourced Precipitation Phase Observations of the Western CONUS via Machine Learning
Ye	Fei	From Watershed to Coast: Representing Flow Pathways in Coastal Transition Zones for Compound Flooding
Yin	Lirong	A Python version of the restructured NOAA-OWP Module (NOM) for swapping alternative models and AI applications
Zarrabi	Reihaneh	Improving Operational Flood Mapping Across the CONUS Using Machine Learning and Bathymetric Adjustment
Zhang	Wei	When Bias Correction Helps and When It Hurts: WRF-Hydro Streamflow Sensitivity to CONUS404-Based Forcing in Snow-Dominated and Convective Flood Regimes
Agonafer	Leul	Benchmarking Meteorological Forcing Datasets for Hydrologic Applications using LSTM-based Streamflow and Snow Modeling
Shi	Jian	Identifying Dominant Hydrologic Processes Across Large Domains via Sensitivity Analysis
Shi	Zhennan	Assessing the impact of dynamic versus static parameters on short-range ensemble streamflow forecasts in a hybrid differentiable modeling framework
Sui	Xinxin	A long-term baseline testbed dataset for benchmarking snow model performance in the western United States
Quintana	Kenneth	Nationwide Screening Method for Submerged Hydraulic Jumps at Low-Head Dams
Li	Zhi	Agentic AI in Hydrologic Modeling: Where do we stand?
Harsha Vemula	Sai	Research Cyberinfrastructure at CIROH: A Multi-Hybrid Cloud and HPC Platform for Advancing Hydrologic Science
Chowdhury	Kamal	Portable Reproducibility for NextGen Water Modeling Using Containerized HPC and Cloud Workflows
Patel	Arpita	CIROH’s Hub Poised to Power Research Community Engagement
Di Vittorio	Courtney	HydroLearn: Collaborative Module Development for CIROH Educational Outreach
Patel	Arpita	CIROH Cyberinfrastructure and CIROH Hub
Swain	Nathan	CIROH Hub: A Unified Gateway to Hydrologic Research Resources
Bryant	Seth	Bridging Global Flood Models and Local Decision-Making with Automated 2 m DEM-Consistent Mapping
Nassa	Ayman	HydroShare and CIROH Computing, Lowering the Barriers to Data Access and Modeling
Gehr	Landon	Scalable NextGen Model Parameter Optimization using Containerized Distributed Computing
Falck	Aline	Probabilistic Flood Forecasting for Tropical Islands Using the NextGen NWM and Downscaled Ensemble Forcing Data
Gu	Hongping	Quantifying Sensitivity of 2025 Texas Flood in WRF-Hydro to Forcing Uncertainties
Wood	Andy	Assessing a large-sample emulator strategy for calibrating the NextGen CFE+ model in CAMELS US watersheds
Andrus	Caitlyn	Improving NOAA tools to communicate and manage risks of water shortages