| Astrophysical fluid dynamics via direct statistical simulation SM Tobias, K Dagon, JB Marston The Astrophysical Journal 727 (2), 127, 2011 | 101 | 2011 |
| Comparing Surface and Stratospheric Impacts of Geoengineering With Different SO2 Injection Strategies B Kravitz, DG MacMartin, S Tilmes, JH Richter, MJ Mills, W Cheng, ... Journal of Geophysical Research: Atmospheres 124 (14), 7900-7918, 2019 | 74 | 2019 |
| ClimateNet: An expert-labelled open dataset and Deep Learning architecture for enabling high-precision analyses of extreme weather Prabhat, K Kashinath, M Mudigonda, S Kim, L Kapp-Schwoerer, ... Geoscientific Model Development Discussions 2020, 1-28, 2020 | 55 | 2020 |
| Soil moisture and other hydrological changes in a stratospheric aerosol geoengineering large ensemble W Cheng, DG MacMartin, K Dagon, B Kravitz, S Tilmes, JH Richter, ... Journal of Geophysical Research: Atmospheres 124 (23), 12773-12793, 2019 | 48 | 2019 |
| A machine learning approach to emulation and biophysical parameter estimation with the Community Land Model, version 5 K Dagon, BM Sanderson, RA Fisher, DM Lawrence Advances in Statistical Climatology, Meteorology and Oceanography 6 (2), 223-244, 2020 | 44 | 2020 |
| Exploring the Effects of Solar Radiation Management on Water Cycling in a Coupled Land-Atmosphere Model K Dagon, DP Schrag Journal of Climate 29 (2016), 2635-2650, 2016 | 33 | 2016 |
| Quantifying the effects of solar geoengineering on vegetation K Dagon, DP Schrag Climatic Change 153 (1), 235-251, 2019 | 32 | 2019 |
| Regional climate variability under model simulations of solar geoengineering K Dagon, DP Schrag Journal of Geophysical Research: Atmospheres 122 (22), 12,106-12,121, 2017 | 16 | 2017 |
| Indices of extremes: geographic patterns of change in extremes and associated vegetation impacts under climate intervention MR Tye, K Dagon, MJ Molina, JH Richter, D Visioni, B Kravitz, S Tilmes Earth System Dynamics 13 (3), 1233-1257, 2022 | 14 | 2022 |
| A review of recent and emerging machine learning applications for climate variability and weather phenomena MJ Molina, TA O’Brien, G Anderson, M Ashfaq, KE Bennett, WD Collins, ... Artificial Intelligence for the Earth Systems 2 (4), 220086, 2023 | 10 | 2023 |
| Machine Learning‐Based Detection of Weather Fronts and Associated Extreme Precipitation in Historical and Future Climates K Dagon, J Truesdale, JC Biard, KE Kunkel, GA Meehl, MJ Molina Journal of Geophysical Research: Atmospheres 127 (21), e2022JD037038, 2022 | 9 | 2022 |
| Climate engineering to mitigate the projected 21st-century terrestrial drying of the Americas: a direct comparison of carbon capture and sulfur injection Y Xu, L Lin, S Tilmes, K Dagon, L Xia, C Diao, W Cheng, Z Wang, ... Earth System Dynamics 11 (3), 673-695, 2020 | 8 | 2020 |
| Subseasonal representation and predictability of North American weather regimes using cluster analysis MJ Molina, JH Richter, AA Glanville, K Dagon, J Berner, A Hu, GA Meehl Artificial Intelligence for the Earth Systems 2 (2), e220051, 2023 | 5 | 2023 |
| Climate engineering to mitigate the projected 21st-century terrestrial drying of the Americas: a direct comparison of carbon capture and sulfur injection, Earth Syst. Dynam … Y Xu, L Lin, S Tilmes, K Dagon, L Xia, C Diao, W Cheng, Z Wang, ... | 4 | 2020 |
| Moving land models toward more actionable science: A novel application of the Community Terrestrial Systems Model across Alaska and the Yukon River Basin Y Cheng, KN Musselman, S Swenson, D Lawrence, J Hamman, K Dagon, ... Water Resources Research 59 (1), e2022WR032204, 2023 | 2 | 2023 |
| Climate engineering to mitigate the projected 21st‐century terrestrial drying of the Americas: Carbon Capture vs. Sulfur Injection Y Xu, L Lin, S Tilmes, K Dagon, L Xia, C Diao, W Cheng, D MacMartin, ... Earth System Dynamics, 2020 | 2 | 2020 |
| The impact of stratospheric aerosol injection on extreme fire weather risk D Touma, JW Hurrell, MR Tye, K Dagon Earth's Future 11 (6), e2023EF003626, 2023 | 1 | 2023 |
| Implementing a New Rubber Plant Functional Type in the Community Land Model (CLM5) Improves Accuracy of Carbon and Water Flux Estimation AA Ali, Y Fan, MD Corre, MM Kotowska, E Preuss-Hassler, AN Cahyo, ... Land 11 (2), 183, 2022 | 1 | 2022 |
| The Community Land Model (CLM5) Parameter Perturbation Ensemble Project: Towards Comprehensive Understanding of Parametric Uncertainty on the Global Terrestrial Carbon Cycle DM Lawrence, K Dagon, D Kennedy, R Fisher, BM Sanderson, ... AGU Fall Meeting Abstracts 2020, B019-0011, 2020 | 1 | 2020 |
| When Machine Learning Objectives Compete for Improved Subseasonal Bias Correction, Who Wins? MJ Molina, K Dagon, J Schreck, JS Perez-Carrasquilla, KJ Mayer, ... 104th AMS Annual Meeting, 2024 | | 2024 |
Isla SimpsonNational Center for Atmospheric ResearchE-mail megerősítve itt: ucar.edu
