CIROH Developers Conference 2025 Abstracts

Abstracts 

Lead Author Last Name	Lead Author First Name
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)