CIROH Developers Conference 2024 Abstracts

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Lead Author Last Name	Lead Author First Name
Abdelkader	Mohamed	A Framework for Forecasting Streamflow Temperature and Ice Phenology Utilizing the NOAA National Water Model
Aghababaei	Amin	Nationwide Identification of Baseflow Dominant Periods: Integrating Manual Expertise into Machine Learning
Alam	Md. Shahabul	Community Streamflow Evaluation System: Developing a Python-based tool and Tethys-based web app
Alam	Md. Shahabul	Strategies for evaluating the performance of NHDPlus-based continental-scale hydrologic models in predicting flood and drought events
Amanambu	Amobichukwu C.	U-NETwet : A Deep Learning Approach for Predicting River Depth and Floodplain Inundation
Ames	Daniel P.	Channelling the Data Deluge – A New CIROH API for Near-Instant Access to Any Historical NWM Streamflow Forecast.
Anderson	Jacob	Streamlining Streamflow: Post-Processing National Water Model Long-Range Forecasts with Machine Learning
Arnal	Louise	FROSTBYTE: A reproducible data-driven workflow for probabilistic seasonal streamflow forecasting in snow-fed river basins across North America
Balachandran	Shivakumar	Machine Learning Models for Levee Breach Flow Estimation
Balerna	Jessica	Community perceptions and preferences for mitigating flood risk via nature-based solutions
Battula	Suma B.	Characteristics and skill of extreme precipitation related to atmospheric rivers and non-atmospheric rivers over the Southeast U.S.
Beckage	Noah B.	Data Acquisition Framework Design for Model Input Data
Burakowski	Elizabeth	Northeast Snow Survey (NESS): A feasibility study to develop an automated snowpack and climate monitoring network in the northeast United States
Castejon	Jose	Can a single rating curve really capture the complexity of a river reach? Yes.
Chapagain	Abin Raj	Evaluation of the National Water Model’s Retrospective Evapotranspiration Using Eddy-Covariance Flux Tower Measurements across the Continental United States
Chaudhari	Pratiksha	Using Deep Learning for Detection of environmental samples of Microplastic in Real-Time
Cho	Huidae	Memory Efficiency in Parallel Computation of Continental-Scale Hydrologic Parameters
Cho	Huidae	Open-Source Hydrology Using GRASS GIS
Clemins	Patrick J.	Computational Workflow Design for a Cyanobacterial Harmful Algal Bloom (CyanoHAB) Forecast Skill Elasticity Experiment
Demir	Ibrahim	Conversational AI, Digital Twins, and Metaverse in Water Resources Research, Education and Operations
Dhital	Supath	A Detailed Comparison between OWP HAND-FIM and HEC-RAS Predictions
Dhondia	Juzer	Towards the Integration of NextGen Water Prediction Tools into Operational Forecasting Systems at NWS River Forecast Centers
DiPietro	Thomas	Modeling of Snowpack in The Northeast Using iSnobal
Ebrahimi	Ehsan	Enhancing Water Management Modelling through Extended Hydrofabric
Falck	Aline	Assessing the National Water Model for flood forecasting in tropical islands

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