A Self-Evolution Data Fusion Platform for Large-Scale Water Models
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Focal Area: Data acquisition and assimilation enabled by machine learning (ML), artificial intelligence (AI), and advanced methods including experimental/network design/optimization, unsupervised learning (deep learning), leveraging advanced hardware (e.g., edge computing). This development is to enable solving the science questions regarding the human and climatic factors that interact with and drive global water scarcity.
- Research Organization:
- Artificial Intelligence for Earth System Predictability (AI4ESP) Collaboration (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI ID:
- 1769652
- Report Number(s):
- AI4ESP--1078
- Country of Publication:
- United States
- Language:
- English
Similar Records
Integrating Models with Real-time Field Data for Extreme Events: From Field Sensors to Models and Back with AI in the Loop
AI-Based Integrated Modeling and Observational Framework for Improving Seasonal to Decadal Prediction of Terrestrial Ecohydrological Extremes
Machine Learning to Enable Efficient Uncertainty Quantification, Data Assimilation, and Informed Data Acquisition
Technical Report
·
Thu Apr 15 00:00:00 EDT 2021
·
OSTI ID:1769727
AI-Based Integrated Modeling and Observational Framework for Improving Seasonal to Decadal Prediction of Terrestrial Ecohydrological Extremes
Technical Report
·
Thu Apr 15 00:00:00 EDT 2021
·
OSTI ID:1769666
Machine Learning to Enable Efficient Uncertainty Quantification, Data Assimilation, and Informed Data Acquisition
Technical Report
·
Thu Apr 15 00:00:00 EDT 2021
·
OSTI ID:1769743