
Atmospheric River Tracking Method Intercomparison Project Tier 1 Source Data and Catalogues
d651012
| DOI: 10.5065/D62R3QFS

Citation Statistics for this Dataset:
This dataset has been cited 13 times. See a list of published works that have cited this dataset Published works that have cited this dataset:
2025
Kamnani, D., T. A. O'Brien, S. Smith, P. W. Staten, and C. A. Shields, 2025: Regional and Temporal Variability of Atmospheric River Seasonality: Influences of Detection Algorithms and Moisture Transport Dynamics. Journal of Geophysical Research: Atmospheres, 130(14), https://doi.org/10.1029/2024jd043032
Rush, W. D., J. M. Lora, C. B. Skinner, S. A. Menemenlis, C. A. Shields, P. Ullrich, T. A. O'Brien, S. Brands, B. Guan, K. S. Mattingly, E. McClenny, K. Nardi, A. Nellikkattil, A. M. Ramos, K. J. Reid, E. Shearer, R. Tomé, J. D. Wille, L. R. Leung, F. M. Ralph, J. J. Rutz, M. Wehner, Z. Zhang, M. Lu, and K. T. Quagraine, 2025: Atmospheric River Detection Under Changing Seasonality and Mean-State Climate: ARTMIP Tier 2 Paleoclimate Experiments. Journal of Geophysical Research: Atmospheres, 130(1), https://doi.org/10.1029/2024JD042222
2024
Baiman, R., A. C. Winters, B. Pohl, V. Favier, J. D. Wille, and K. R. Clem, 2024: Synoptic and planetary-scale dynamics modulate antarctic atmospheric river precipitation intensity. Communications Earth and Environment, 5, https://doi.org/10.1038/s43247-024-01307-9
Lapere, R., J. L. Thomas, V. Favier, H. Angot, J. Asplund, A. M. Ekman, L. Marelle, J. Raut, A. Da Silva, J. D. Wille, and P. Zieger, 2024: Polar Aerosol Atmospheric Rivers: Detection, Characteristics, and Potential Applications. Journal of Geophysical Research: Atmospheres, 129(2), https://doi.org/10.1029/2023jd039606
Li, H., C. Ke, X. Shen, Q. Zhu, Y. Cai, and L. Luo, 2024: The Varied Role of Atmospheric Rivers in Arctic Snow Depth Variations. Geophysical Research Letters, 51(14), https://doi.org/10.1029/2024gl110163
Mahesh, A., T. A. O'Brien, B. Loring, A. Elbashandy, W. Boos, and W. D. Collins, 2024: Identifying atmospheric rivers and their poleward latent heat transport with generalizable neural networks: ARCNNv1. Geoscientific Model Development, 17, 3533-3557, https://doi.org/10.5194/gmd-17-3533-2024
O'Brien, T. A., B. Loring, A. S. Dufek, M. R. Islam, D. Kamnani, K. T. Quagraine, and C. Kirkpatrick, 2024: Atmospheric Rivers in the Eastern and Midwestern United States Associated With Baroclinic Waves. Geophysical Research Letters, 51(8), https://doi.org/10.1029/2023GL107236
Wang, H., F. Li, G. V. Grigorev, Z. Yao, D. Ge, G. Wang, and J. Qiu, 2024: Occurrence Frequency of Global Atmospheric River (AR) Events: A Data Fusion Analysis of 12 Identification Data Sets. Journal of Geophysical Research: Atmospheres, 129, https://doi.org/10.1029/2023JD039730
2023
Higgins, T. B., A. C. Subramanian, A. Graubner, L. Kapp-Schwoerer, P. A. Watson, S. Sparrow, K. Kashinath, S. Kim, L. Delle Monache, and W. Chapman, 2023: Using Deep Learning for an Analysis of Atmospheric Rivers in a High-Resolution Large Ensemble Climate Data Set. Journal of Advances in Modeling Earth Systems, 15(4), https://doi.org/10.1029/2022ms003495
Maclennan, M. L., J. T. Lenaerts, C. A. Shields, A. O. Hoffman, N. Wever, M. Thompson-Munson, A. C. Winters, E. C. Pettit, T. A. Scambos, and J. D. Wille, 2023: Climatology and surface impacts of atmospheric rivers on West Antarctica. The Cryosphere, 17(2), 865-881, https://doi.org/10.5194/tc-17-865-2023
Zhang, C., W. Tung, and W. S. Cleveland, 2023: Climatology and decadal changes of Arctic atmospheric rivers based on ERA5 and MERRA-2. Environmental Research: Climate, 2(3), https://doi.org/10.1088/2752-5295/acdf0f
2021
Zhang, C., W. Tung, and W. S. Cleveland, 2021: In Search of the Optimal Atmospheric River Index for US Precipitation: A Multifactorial Analysis. Journal of Geophysical Research: Atmospheres, 126(10), https://doi.org/10.1029/2020JD033667
2018
Shields, C. A., J. J. Rutz, L. Leung, F. M. Ralph, M. Wehner, B. Kawzenuk, J. M. Lora, E. McClenny, T. Osborne, A. E. Payne, P. Ullrich, A. Gershunov, N. Goldenson, B. Guan, Y. Qian, A. M. Ramos, C. Sarangi, S. Sellars, I. Gorodetskaya, K. Kashinath, V. Kurlin, K. Mahoney, G. Muszynski, R. Pierce, A. C. Subramanian, R. Tome, D. Waliser, D. Walton, G. Wick, A. Wilson, D. Lavers, A. Collow, H. Krishnan, H. Magnusdottir, G. Magnusdottir, and P. Nguyen, 2018: Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design. Geoscientific Model Development, 11(6), 2455-2474, https://doi.org/10.5194/gmd-11-2455-2018
