Projects per year
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Dive into the research topics where Computational Hydrology and Atmospheric 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
Projects
- 3 Active
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AI-enabled subsurface biogeochemical modeling
Sulman, B. B. (PI), Le, P. P. (CoPI), Fan, M. (CoPI), Aronson, E. L. (PI), Yang, Y. Y. (PI) & Molins, S. (PI)
Biological and Environmental Research
08/1/26 → 04/30/27
Project: Research
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Physics-Informed AI for Accelerated Discovery of Ion-Adsorption-Type Rare Earth Element Resources in Granitic Systems
Gu, X. X. (PI), Lu, D. (CoPI), Chai, C. C. (CoPI), Zhu, M. (PI), Li, L. L. (PI) & Wen, T. (PI)
Biological and Environmental Research
08/1/26 → 04/30/27
Project: Research
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AGFormer: Adaptive Spatiotemporal graph informed transformer for multi-reservoir inflow forecasting
Fan, M., Hu, P., Han, X., Zhang, W., Kang, H., Ning, Y. & Lu, D., Apr 2026, In: Environmental Modelling and Software. 199, 106938.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
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
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Beyond better predictions: reflections on the growth, rigor, and impact of AI/ML in hydrology
Lu, D., 2026, (Accepted/In press) In: Journal of Hydrology. 136211.Research output: Contribution to journal › Editorial
Datasets
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Five years of quality-controlled meteorological surface data at Oak Ridge Reserve in Tennessee
Steckler, M. (Creator), Yu, X.-Y. (Creator), Birdwell, K. (Creator) & xu, H. (Creator), ZENODO, Apr 21 2025
Dataset
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Improving the Abdul-Razzak & Ghan (2000) aerosol activation parameterization impacts simulated cloud radiative effects (shown in the Unified Model, version 13.0)
Ghosh, P. (Creator), Evans, K. J. (Creator), Grosvenor, D. P. (Creator), Kang, H.-G. (Creator), Mahajan, S. (Creator), Xu, M. (Creator), Zhang, W. (Creator) & Gordon, H. (Creator), ZENODO, Jul 31 2024
Dataset
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Adiabatic and radiative cooling are both important causes of aerosol activation in simulated fog events in Europe
Ghosh, P. (Creator), Boutle, I. (Creator), Field, P. (Creator), Hill, A. (Creator), Mazoyer, M. (Creator), Evans, K. (Creator), Mahajan, S. (Creator), Kang, H.-G. (Creator), Xu, M. (Creator), Zhang, W. (Creator) & Gordon, H. (Creator), ZENODO, Oct 29 2024
DOI: 10.5281/zenodo.14005081, https://zenodo.org/doi/10.5281/zenodo.14005081
Dataset