HelioWebInternational Business Machines Corporation
flowchart
I[International Business Machines Corporation]
PI["Parent Institutions (0)"]
CI["Child Institutions (10)"]
AW["Affiliated Works (31)"]
CA["Linked Collaborating Authors (5)"]
I== skos:broader ==>PI
CI== skos:broader ==>I
AW== affil ==>I
AW== author ==>CA
click PI "#parent-institutions"
click CI "#child-institutions"
click AW "#affiliated-works"
click CA "#collaborating-authors"
Parent Institutions [?]
Child Institutions [?]
- IBM Almaden Research Center
- IBM California
- IBM Colorado
- IBM Germany
- IBM Minnesota
- IBM New York
- IBM Switzerland
- IBM Texas
- IBM Vermont
- IBM Virginia
Affiliated Works
sorted by decreasing year, and then by display-name
- A system for environmental model coupling and code reuse: The Great Rivers Project
- Collaboration in River Basin Management: The Great Rivers Project
- Multiple Observation Types Jointly Constrain Terrestrial Carbon and Water Cycles
- Smartphones for urban hydrology: an analysis of Creekwatch observations
- Parametrization of turbulence models using 3DVAR data assimilation in laboratory conditions
- Analyzing the Response of Climate Perturbations to (Tropical) Cyclones using the WRF Model
- Enabling Philippine Farmers to Adapt to Climate Variability Using Seasonal Climate and Weather Forecast with a Crop Simulation Model in an SMS-based Farmer Decision Support System
- Small-scale farming optimization using frugal plant-based irrigation scheduling in Kenya
- Digital Aquifer - Integrating modeling, technical, software and policy aspects to develop a groundwater management tool
- Source Attribution of Tropospheric Ozone using a Global Model
- A Machine LearningFramework to Forecast Wave Conditions
- Improving wave forecasting by integrating ensemble modelling and machine learning
- Leveraging Open Software and Open Data to Transform Environmental Management
- Machine Learning Classification of Heterogeneous Fields to Estimate Physical Responses
- Modeling Geomagnetic Variations using a Machine Learning Framework
- Tropospheric ozone using an emission tagging technique in the CAM-Chem and WRF-Chem models
- A Coupled Modelling and Observing System to Assess Water Quality in the Lake George, New York Watershed
- A Parameter Fusion Technique to Estimate Soil Moisture from Remote Satellite Data
- A Coupled Modelling and Observing System Testbed to Assess Water Quality in the Lake George, New York Watershed
- Retrospective Seasonal Streamflow Simulations using WRF-Hydro at Lake George, New York
- Using Cutting-Edge Science and Technology to Improve Wildfire Mitigation Policy
- Precipitation forecasting using machine-learning-based ensemble aggregation with Wasserstein-guided weighting
- Climate extremes on Crop Yield: A Case Study for USA Corn Belt
- A toolbox for weather and climate data discovery and extreme event analysis
- Generating Physically-Consistent High-Resolution Climate Data with Hard-Constrained Neural Networks
- Hierarchical Weather Generators: A Comparison of Different Design Structures on Precipitation Simulation Performance
- 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
- The Fire Index Risk Optimizer (FIRO)
- Towards Accelerated Discovery Services for Geospatio-temporal Foundation Models
- Using Temporal Graph Neural Networks to Leverage High Fidelity Observation Data for Improving Generalizability of Hydrological Models