Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

AI-Constrained Bottom-Up Ecohydrology and Improved Prediction of Seasonal, Interannual, and Decadal Flood and Drought Risks

Technical Report ·
DOI:https://doi.org/10.2172/1769668· OSTI ID:1769668
 [1];  [1];  [1];  [1];  [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [10];  [10];  [11];  [12];  [1];  [1];  [1] more »;  [13];  [13];  [9];  [14];  [1];  [1];  [1];  [1];  [15];  [16] « less
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Univ. of Tennessee, Knoxville, TN (United States)
  3. Univ. of Washington, Seattle, WA (United States)
  4. Univ. of California, Irvine, CA (United States)
  5. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
  6. Univ. of Georgia, Athens, GA (United States)
  7. Univ. of Tokyo (Japan)
  8. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  9. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  10. National Center for Atmospheric Research (NCAR), Boulder, CO (United States)
  11. Univ. of New South Wales, Sydney, NSW (Australia)
  12. Univ. of Western Sydney, NSW (Australia)
  13. Brookhaven National Lab. (BNL), Upton, NY (United States)
  14. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  15. Florida State Univ., Tallahassee, FL (United States)
  16. Argonne National Lab. (ANL), Argonne, IL (United States)
Focal Areas: (2) Predictive modeling through the use of AI techniques and AI-derived model components; the use of AI and other tools to design a prediction system composed of a hierarchy of models (3)Insight gleaned from complex data (both observed & simulated) using AI, big data analytics, and other advanced methods, including explainable AI and physics- or knowledge-guided AI
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:
1769668
Report Number(s):
AI4ESP--1060
Country of Publication:
United States
Language:
English