| Physically interpretable neural networks for the geosciences: Applications to earth system variability BA Toms, EA Barnes, I Ebert‐Uphoff Journal of Advances in Modeling Earth Systems 12 (9), e2019MS002002, 2020 | 241 | 2020 |
| Indicator patterns of forced change learned by an artificial neural network EA Barnes, B Toms, JW Hurrell, I Ebert‐Uphoff, C Anderson, D Anderson Journal of Advances in Modeling Earth Systems 12 (9), e2020MS002195, 2020 | 79 | 2020 |
| ClimateNet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather K Kashinath, M Mudigonda, S Kim, L Kapp-Schwoerer, A Graubner, ... Geoscientific Model Development 14 (1), 107-124, 2021 | 57* | 2021 |
| The Global Teleconnection Signature of the Madden‐Julian Oscillation and Its Modulation by the Quasi‐Biennial Oscillation BA Toms, EA Barnes, ED Maloney, SC van den Heever Journal of Geophysical Research: Atmospheres 125 (7), e2020JD032653, 2020 | 40 | 2020 |
| Testing the Reliability of Interpretable Neural Networks in Geoscience Using the Madden-Julian Oscillation BA Toms, K Kashinath, D Yang Geoscientific Model Development Discussions, 1-22, 2020 | 36* | 2020 |
| The Colorado State University Convective CLoud Outflows and UpDrafts Experiment (C3LOUD-Ex) SC van den Heever, LD Grant, SW Freeman, PJ Marinescu, J Barnum, ... Bulletin of the American Meteorological Society, 1-61, 2021 | 29 | 2021 |
| Topographic Effects on the Luzon Diurnal Cycle During the BSISO EM Riley Dellaripa, ED Maloney, BA Toms, SM Saleeby, ... Journal of the Atmospheric Sciences 2019 (77), 3-30, 2019 | 25 | 2019 |
| Analysis of a lower-tropospheric gravity wave train using direct and remote sensing measurement systems BA Toms, JM Tomaszewski, DD Turner, SE Koch Monthly Weather Review 145 (7), 2791-2812, 2017 | 24 | 2017 |
| Assessing Decadal Predictability in an Earth‐System Model Using Explainable Neural Networks BA Toms, EA Barnes, JW Hurrell Geophysical Research Letters, e2021GL093842, 2021 | 21 | 2021 |
| Usage of existing meteorological data networks for parameterized road ice formation modeling BA Toms, JB Basara, Y Hong Journal of Applied Meteorology and Climatology 56 (7), 1959-1976, 2017 | 14 | 2017 |
| Identifying Opportunities for Skillful Weather Prediction with Interpretable Neural Networks EA Barnes, K Mayer, B Toms, Z Martin, E Gordon arXiv preprint arXiv:2012.07830, 2020 | 7 | 2020 |
| The boreal summer Madden–Julian oscillation and moist convective morphology over the Maritime Continent BA Toms, SC van den Heever, EM Riley Dellaripa, SM Saleeby, ... Journal of the Atmospheric Sciences 77 (2), 647-667, 2020 | 7 | 2020 |
| Towards Using Neural Networks for Geoscientific Discovery B Toms 2020-CSU Theses and Dissertations, 2020 | | 2020 |
| Interactions between the Madden-Julian oscillation and mesoscale to global scale phenomena BA Toms 2000-2019-CSU Theses and Dissertations, 2019 | | 2019 |
Elizabeth BarnesProfessor, Colorado State UniversityGeverifieerd e-mailadres voor colostate.edu
