CIROH Developers Conference 2024 Abstracts

Abstracts 

Lead Author Last Name	Lead Author First Name	Title
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