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Cooperative Institute for Research to Operations in Hydrology

CIROH Developers Conference 2024 Abstracts

Abstracts 

Lead Author Last NameLead Author First NameTitle
FrameJonathan M.Machine learning for a heterogeneous water modeling framework
WolvinSavannaEvaluation of a Convolutional Neural Network to Predict Wintertime Orographic Precipitation Gradients of the Western CONUS
van der HeijdenRyanVariable Drought Threshold Method for Low-Flow Behavior Reveals Distinct Clustering Across the Continental United States
MyersMollyUnraveling Public Evacuation Likelihood: Structural Equation Models and the Extended Parallel Process Model in Focus
LewisGabrielNovel Approaches to Improving Operational Flood and Water Supply Forecasting Across the Sierra Nevada
NeisarySavalanAccounting 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
ArnalLouiseFROSTBYTE: A reproducible data-driven workflow for probabilistic seasonal streamflow forecasting in snow-fed river basins across North America
AmanambuAmobichukwu C.U-NETwet : A Deep Learning Approach for Predicting River Depth and Floodplain Inundation
HughesMimiImproving NOAA’s water tools through physically motivated, data-driven, and hybrid modeling techniques
BalernaJessicaCommunity perceptions and preferences for mitigating flood risk via nature-based solutions
WilkieLylieAir flow modeling in Stormwater Collection Networks. Comparison of modeling approaches
NeisarySavalan NaserAccounting 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
TorkomanyMohamed R.Pressurization of Stormwater Mains: Comparison between Simulation and Real-World Data
Rosales-LagardeLauraOpen-source data loggers as a research and teaching tool to explore Lake Mead water temperature responses to weather events
TaylorLakelyn E.Analyzing Flood Warning Communication in Local Communities Using the IDEA Model
AmesDaniel P.Channelling the Data Deluge – A New CIROH API for Near-Instant Access to Any Historical NWM Streamflow Forecast.
QuainooRuthA National Survey of Flood Hazard Crisis and Risk Perceptions in the United States
HabibEmadSupporting CIROH Workforce Development Needs with HydroLearn
BattulaSuma B.Characteristics and skill of extreme precipitation related to atmospheric rivers and non-atmospheric rivers over the Southeast U.S.
AlamMd. ShahabulCommunity Streamflow Evaluation System: Developing a Python-based tool and Tethys-based web app
JonesNormAdvancing Science to Better Characterize Drought and Groundwater-Driven Low-Flow Conditions in NOAA and USGS National-Scale Models
AlamMd. ShahabulStrategies for evaluating the performance of NHDPlus-based continental-scale hydrologic models in predicting flood and drought events
RamirezCarlos ErazoHydroSuite: Open-Source Community-Oriented Software Suite for Hydrological Research and Education
RosenhooverMarshallSuper-Resolution of Radar-Based Precipitation Data using Ground Sensors
OldhamSamExpanding the Impact of the NWM FIM Capability by Adding Other Hydraulic Model Outputs
BurakowskiElizabethNortheast Snow Survey (NESS): A feasibility study to develop an automated snowpack and climate monitoring network in the northeast United States
LarcoKarinaDriving Impact in Hydrologic Modeling and Forecasting
KemperJohn T.Forecasting water quality from National Water Model outputs at actionable scales
ScamardoJuliIncorporating Floodplain Topographic Features to Improve Channel Routing
TowlerErinEnhancing ensemble streamflow predictions using post-processed precipitation forecasts
SoaresRodrigoThe Great Vermont Floods of 2023: A communication assessment. Stakeholders perceptions and lessons learned.
LamontSamBenchmarking open-source technologies for storing and querying time series data at scale
VoraAnavChanges in Regional Water Availability Resulting from Human Interferences in Hydrology
HeneinMoheb M. R.A Framework for Restoring and Processing Degraded Images from USGS Hydrologic Imagery Visualization and Information System
Morales-VelazquezMirceA Machine Learning Approach for Enhancing National Water Model Streamflow Forecasts in Montane Headwater Catchments
MaghamiImanA Multi-Year Multi-Region Analysis of Flood Timing, Magnitude and Severity in Comparison to the National Water Model Forecasts
NajafiRojaImproving the NWM Streamflow Predictions Using a Hybrid LSTM Model Across Climatic Regions
HalesRileyTechnologies from NASA, NOAA, and International Hydrology Projects with applications in CIROH
PhillipsColinLeveraging high-resolution topography to quantify the variable nature of river width
McDermottRileyEstimation of River Channel Shape Using Regression and Machine Learning Approaches
EbrahimiEhsanEnhancing Water Management Modelling through Extended Hydrofabric
AghababaeiAminNationwide Identification of Baseflow Dominant Periods: Integrating Manual Expertise into Machine Learning
MasoodAli KhanQuantifying and Mapping Biases in Flood Risk Perceptions: Findings from a US National Survey.
NikrouParvanehFlood Inundation Mapping Analysis for the Neuse River in North Carolina: Intercomparison of Hydrodynamic and Topography-Based Models for Improved Accuracy and Computational Efficiency
FalckAlineAssessing the National Water Model for flood forecasting in tropical islands
MarkertKel N.Design and Implementation of a Big Query Dataset and Application Programmer Interface (API) for the U.S. National Water Model
SeyvaniSadraAssessing Accuracy and Limitations: Current InSAR-Based Flood Inundation Mapping Algorithms Across Diverse Terrains Characteristics and Conditions
GuptaAniketDeveloping a plant hydraulics module compatible with BMI of the NextGen Framework
JawadMuhammadIdentifying the HUC-12 scale potential recharge area in the San Pedro basin using the NextGen Framework
AbdelkaderMohamedA Framework for Forecasting Streamflow Temperature and Ice Phenology Utilizing the NOAA National Water Model
LiXueyiBASEFLOW: A Python package for digital baseflow separation and analysis
ChapagainAbin RajEvaluation of the National Water Model’s Retrospective Evapotranspiration Using Eddy-Covariance Flux Tower Measurements across the Continental United States
SermetYusufEnhancing Hydroinformatics Research, Operation, and Education through Virtual Reality, Artificial Intelligence, and Gaming
BalachandranShivakumarMachine Learning Models for Levee Breach Flow Estimation
DemirIbrahimConversational AI, Digital Twins, and Metaverse in Water Resources Research, Education and Operations
LeeAnzyThe invisible HAND: Assessing HAND across channel settings, terrain resolutions and flow stages
ChoHuidaeMemory Efficiency in Parallel Computation of Continental-Scale Hydrologic Parameters
ChoHuidaeOpen-Source Hydrology Using GRASS GIS
CastejonJoseCan a single rating curve really capture the complexity of a river reach? Yes.
DhitalSupathA Detailed Comparison between OWP HAND-FIM and HEC-RAS Predictions
PerezAlessandraLeveraging Hydroclimatic Forecasts and Policy Design for Reservoir Reoperation
ZarrabiReihanehBankfull and Mean Flow River Channel Geometry Estimation for the CONtiguous United States (CONUS) using Machine Learning for Hydrological Applications
HongYiChallenges and Opportunities for the National Water Model applications Over the Laurentian Great Lakes Region
Webster-EshoEniolaGradient-based Method for Automatically Generating Labelled Baseflow Dataset
KnobenWouterDeveloping perceptual models of hydrologic behavior across the North American continent
AndersonJacobStreamlining Streamflow: Post-Processing National Water Model Long-Range Forecasts with Machine Learning
DiPietroThomasModeling of Snowpack in The Northeast Using iSnobal
HorsburghJeffery S.Advancing HydroServer for Collecting, Managing, and Sharing Operational Hydrologic Monitoring Data
ThébaultCyrilLarge-sample hydrology across North America within a spatially distributed framework
SturtevantJoshExperimental Use of the NextGen Water Resources Modeling Framework for Streamflow Prediction in Clear Creek, Colorado
CleminsPatrick J.Computational Workflow Design for a Cyanobacterial Harmful Algal Bloom (CyanoHAB) Forecast Skill Elasticity Experiment
BeckageNoah B.Data Acquisition Framework Design for Model Input Data
ZhangWeiModeling the Great Salt Lake with VIC and WRF-Lake
MehanSushantSurface soil moisture simulations for crop lands using Remote Sensing and Machine Learning Approaches
DhondiaJuzerTowards  the Integration of NextGen Water Prediction Tools into Operational Forecasting Systems at NWS River Forecast Centers
ChaudhariPratikshaUsing Deep Learning for Detection of environmental samples of Microplastic in Real-Time
SthapitEngelaLSTM Shows Promise in Estimating Snow Water Equivalent in Sierra Nevada
KhanMasood AliQuantifying and Mapping Biases in Flood Risk Perceptions: Findings from a US National Survey