IBM New York
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Affiliated Works
sorted by decreasing year, and then by display-name
- A system for environmental model coupling and code reuse: The Great Rivers Project
- Calibration and Verification of a Hydrometeorological System for Urban Flash Flood Forecasting
- Collaboration in River Basin Management: The Great Rivers Project
- Analysis of winter weather conditions and their potential impact on wind farm operations
- Real-Time Wastewater System Operational Strategy Adaptation for Rainfall Variability
- Spatial-temporal causal modeling: a data centric approach to climate change attribution (Invited)
- A new framework to study convective transport of non-conserved quantities using stochastic Lagrangian particles
- Creating a Standard Set of Metrics to Assess Accuracy of Solar Forecasts: Preliminary Results
- A Two-Dimensional Gridded Solar Forecasting System using Situation-Dependent Blending of Multiple Weather Models
- A big data geospatial analytics platform - Physical Analytics Integrated Repository and Services (PAIRS)
- Analyzing the Response of Climate Perturbations to (Tropical) Cyclones using the WRF Model
- Introducing MERGANSER: A Flexible Framework for Ecological Niche Modeling
- The Jefferson Project: Large-eddy simulations of a watershed
- Graph Theory-Based Technique for Isolating Corrupted Boundary Conditions in Continental-Scale River Network Hydrodynamic Simulation
- IBM Demonstrates a General-Purpose, High-Performance, High-Availability Cloud-Hosted Data Distribution System With Live GOES-16 Weather Satellite Data
- Role of Topography on the MJO in the Maritime Continent: A Numerical Case Study
- Where Does Road Salt Go - a Static Salt Model
- A Coupled Modelling and Observing System to Assess Water Quality in the Lake George, New York Watershed
- A Deep Learning Framework for Vegetation Management for Electrical Utilities Using Multispectral High-Resolution Satellite Imagery
- Dynamic fugitive methane leaks monitoring on natural gas well pads
- Implementing the new WRF-Hydro v5.0 model for operational, highly localized land surface and streamflow predictions
- Integrated Photonic On-chip Sensor for Methane Fugitive Emissions Monitoring
- The Application of an Internet of Things Cyber-Infrastructure for the Study of Ecology of Lake George in the Jefferson Project
- The impact of weather model resolution on a coupled model of lake circulation
- Using the Pseudo-Global Warming Method for Dynamic Downscaling to Evaluate the Interaction between Heat Waves and Urban Heat Islands in a Future Warmer Climate
- A Coupled Modelling and Observing System Testbed to Assess Water Quality in the Lake George, New York Watershed
- Exploration of artificial intelligence approaches to Earth observing remote sensing
- Retrospective Seasonal Streamflow Simulations using WRF-Hydro at Lake George, New York
- Weather model resolution and orographic impacts on a sudden downwelling event in a lake hydrodynamics model
- An Operational Coupled Modelling and Observing System Testbed to Assess Water Quality in the Lake George, New York Watershed
- Ensemble Streamflow Simulations using WRF-Hydro at Lake George, New York
- The African Rainfall Project: High resolution (1km) weather modeling at continental scale thanks to the World Community Grid
- Matryoshka Neural Operators: Learning Fast PDE solvers with Limited Training Data
- A toolbox for weather and climate data discovery and extreme event analysis
- AI at Edge: Operationalizing Foundation Models in Space
- Accelerated Discovery of Crop Yield Responses to Climate Change by Combining Machine Learning and Process-based Modeling
- Centering Justice in Cross-Sector Environmental Research Collaborations
- Generating Physically-Consistent High-Resolution Climate Data with Hard-Constrained Neural Networks
- HLSTimeSformer: A Self-Supervised Approach to Analyze Geospatial Imagery
- Improved Seasonal Prediction of Harmful Algal Blooms using Large-scale Climate Indices
- Improving extreme weather generation and spatial variability of weather generators based on resampling using the Direct Sampling algorithm
- Improving sub-seasonal to seasonal forecast using a time-series transformer
- Should we build Foundation AI models for Earth Science?
- The Fire Index Risk Optimizer (FIRO)
- Towards Accelerated Discovery Services for Geospatio-temporal Foundation Models
- Towards a Federated "Climate Network" through the Efficient Federation of Geospatial Data and Analytics
- Using Large Scale Language Models for Enabling NLP Abilities Within Earth Sciences
- Using Temporal Graph Neural Networks to Leverage High Fidelity Observation Data for Improving Generalizability of Hydrological Models