Projects per year
Fingerprint
Dive into the research topics where Computational Earth Sciences Group is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Researcher collaborations from the last five years
Based on publications and projects (not datasets). Dive into details by clicking on the dots or
Profiles
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Understand and Reduce Uncertainty in E3SM's Land-Atmosphere Feedbacks on Carbon, Water, and Energy in Response to Wildfire Disturbance
Chen, M. (PI), Zhu, Q. (CoPI) & Hoffman, F. (CoPI)
Biological and Environmental Research
09/1/24 → 08/31/27
Project: Research
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Experimental-data-informed, machine-learning-enabled benchmarking and development of land carbon cycle in Earth system models
Shi, Z. (PI), Zhou, J. J. (CoPI), Hoffman, F. (CoPI) & Collier, N. (CoPI)
Biological and Environmental Research
09/1/24 → 08/31/27
Project: Research
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An Integrated artificial intelligence and E3SM hierarchal modeling framework for elucidating environmental responses of soil carbon and nutrients dynamics
Song, Y. Y. (PI), Hoffman, F. (CoPI), Collier, N. (CoPI) & Mishra, U. (CoPI)
Biological and Environmental Research
09/1/24 → 08/31/27
Project: Research
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A U.S. scientific community review of carbon cycle science gaps and opportunities to better support earth system science and carbon management
Parazoo, N. C., Carroll, D., Abshire, J. B., Bar-On, Y. M., Birdsey, R. A., Bloom, A. A., Bowman, K. W., Braghiere, R. K., Bruhwiler, L. M., Byrne, B., Chatterjee, A., Crisp, D., Duncanson, L., Feldman, A. F., Fox, A. M., Frankenberg, C., Gay, B. A., Hopkins, F., Hoffman, F. M. & Holmquist, J. R. & 26 others, , Jul 2026, In: Earth-Science Reviews. 278, 105493.Research output: Contribution to journal › Review article › peer-review
Open Access -
Automated, reliable, and efficient continental-scale replication of 7.3 petabytes of computational simulation data: A case study
Lacinski, L., Liming, L., Turoscy, S., Harr, C., Chard, K., Dart, E., Durack, P. J., Ames, S., Hoffman, F. M. & Foster, I. T., May 1 2026, In: International Journal of High Performance Computing Applications. 40, 3, p. 421-433 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Bayesian Physics Informed Spatio-Temporal Network for Streamflow Data Imputation
Ambika, A. K., Tharzeen, A., Natarajan, B., Lu, D. & Hoffman, F. M., 2026, International Conference on Artificial Intelligence, Computer, Data Sciences, and Applications, ACDSA 2026. Institute of Electrical and Electronics Engineers Inc., (International Conference on Artificial Intelligence, Computer, Data Sciences, and Applications, ACDSA 2026).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Datasets
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Improving the Estimation of the Atmospheric Water Vapor Pressure Using Interpretable Long Short-Term Memory Networks: Dataset, Python code, and trained models
Gao, B. (Creator), Coon, E. (Creator), Thornton, P. (Creator) & Lu, D. (Creator), Environmental System Science Data Infrastructure for a Virtual Ecosystem; Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE), Jan 1 2023
DOI: 10.15485/2229439
Dataset
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CMIP6-based Multi-model Hydroclimate Projection over the Conterminous US, Version 1.1
Kao, S.-C. (Creator), Ashfaq, M. (Creator), Rastogi, D. (Creator) & Gangrade, S. (Creator), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), Feb 29 2024
Dataset
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International land Model Benchmarking (ILAMB) Package v002.00
Collier, N. (Creator), Hoffman, F. (Creator), Mu, M. (Creator), Randerson, J. T. (Creator) & Riley, W. J. (Creator), Reducing Uncertainties in Biogeochemical Interactions through Synthesis and Computation Science Focus Area (RUBISCO SFA) , May 9 2016
DOI: 10.18139/ILAMB.v002.00/1251621
Dataset