Published Articles
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2026
18. Ocasio, K. M. N., Dougherty, E. M., Xue, L., Moon, Z. L., Núñez, A. R., Morrison, M., Quagraine, K. T., Mu, Y., Martinez, C., Narinesingh, V., Cavazos, T., Rios, G., Bacmeister, J., Amador, J. A., Herrera, D. A., He, C., Maloney, E. D., Rasmussen, K., Reed, K. A., … Anderson, T. G. (2026). Advancing weather and climate science in Mesoamerica and the Caribbean: A novel regional multi-week convection-permitting simulation. Bulletin of the American Meteorological Society, BAMS-D-25-0023.1. https://doi.org/10.1175/bams-d-25-0023.1 2025 17. Mu, Y., Jones, C., Carvalho, L. M. V., Kukulies, J., Prein, A. F., Xue, L., & Liu, C. (2025). Impacts of northerly low‐level jets on mesoscale convective systems east of the Andes. Journal of Geophysical Research: Atmospheres, 130, e2025JD043842. https://doi.org/10.1029/2025JD043842. 16. Mu, Y., Hu, Y., Jones, C., Biggs, T., Domingues, T., Funk, C., Peterson, P. (2025). Increasing Dry-Season Vapor Pressure Deficit in the Amazon Basin: Historical Trends, Future Projections, and Links to Deforestation. Environmental Research Communications, 7(10), 101001. https://doi.org/10.1088/2515-7620/ae0c5b. 15. Chun, K.P., Octavianti, T., Dogulu, N., Tyralis, H., Papacharalampous, G., Rowberry, R., Fan, P., Everard, M., Francesch-Huidobro, M., Migliari, W., Hannah, D.M., Marshall, J.T., Calasanz, R.T., Staddon, C., Ansharyani, I., Dieppois, B., Lewis, T.R., Ponce, J., Ibrean, S., Ferreira, T.M., Peliño-Golle, C., Mu, Y., Delgado, M.D., Espinoza, E.S., Keulertz, M., Gopinath, D. and Li, C. (2025), Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives. WIREs Data Mining and Knowledge Discovery, 15: e70011. https://doi.org/10.1002/widm.70011. 14. Wille, J., Favier, V., Gorodetskaya, I., Agosta, C., Baiman, R., Barrett, J., Barthelemy, L., Boza, B., Bozkurt, D., Casado, M., Chyhareva, A., Clem, K., Codron, F., Datta, R., Durán-Alarcón, C., Francis, D., Hoffman, A., Kolbe, M., Krakovska, S., Linscott, G., Maclennan, M., Mattingly, K., Mu, Y., Pohl, B., Santos, C., Shields, C., Toker, E., Winters, A., Yin, Z., Zou, X., Zhang, C., & Zhang, Z. (2025). Atmospheric rivers in Antarctica. Nature Reviews Earth & Environment. https://doi.org/10.1038/s43017-024-00638-7. [PDF] 2024 13. Mu, Y., Jones, C., Carvalho, L. M. V., Xue, L., Liu, C., & Ding, Q. (2024). Pacific decadal oscillation and ENSO forcings of northerly low-level jets in South America. npj Clim Atmos Sci , 7, 297. https://doi.org/10.1038/s41612-024-00852-6. [PDF] 12. Prein, A. F., Feng, Z., Fiolleau, T., Moon, Z. L., Núñez Ocasio, K. M., Kukulies, J., Roca, R., Varble, A. C., Rehbein, A., Liu, C., Ikeda, K., Mu, Y., & Rasmussen, R. M. (2024). Kmscale simulations of mesoscale convective systems over south America—A feature tracker intercomparison. Journal of Geophysical Research Atmospheres, 129(8). https://doi.org/10.1029/2023jd040254. 11. Tsitelashvili, N., Biggs, T., Mu, Y., & Trapaidze, V. (2024). Regional precipitation regimes and evaluation of national precipitation datasets against satellite-based precipitation estimates, Republic of Georgia. Journal of Hydrometeorology, 25, 591–600. https://doi.org/10.1175/JHM-D-23-0116.1 2023 10. Jones, C., Mu, Y., Carvalho, L.M.V. & Ding, Q. (2023). The South America Low-Level Jet: form, variability and large-scale forcings. Nature Climate and Atmospheric Sciences, 6, 175. https://doi.org/10.1038/s41612-023-00501-4. [PDF] 9. Dominguez, F., R. Rasmussen, C. Liu, K. Ikeda, A. Prein, A. Varble, P. A. Arias, J. Betancourt,M. L. Bettolli, P. Callaghan, L. M. V. Carvalho, C. L. Castro, F. Chen, D. Chug, K. P. Chun, A. Dai, L. Danaila, R. Porfírio da Rocha, E. Nascimento, E. Dougherty, J. Dudhia, T. Eidhammer, Z. Feng, L. Fita, R. Fu, J. Giles, H. Gilmour, K. Halladay, Y. Huang, A. Wong, M. Lagos-Zúñiga, C. Jones, J. Llamocca, M. Llopart, J. A. Martinez, J. C. Martinez, J. R. Minder, M. Morrison, Z. L. Moon, Y. Mu, R. B. Neale, K.M. Núñez Ocasio, S. Pal, E. Potter, G. Poveda, F. Puhales, K. L. Rasmussen, A. Rehbein, R. Rios-Berrios, C. B. Risanto, A. Rosales,L. Scaff, A. Seimon, M. Somos-Valenzuela, Y. Tian, P. Van Oevelen, D. Veloso-Aguila, L. Xue, and T. Schneider. (2023). Advancing South American Water and Climate Science Through Multi-Decadal Convection-Permitting Modeling. Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-22-0226.1. [PDF] 8. Mu, Y., Biggs, T. W., & Jones, C. (2023). Importance in shifting circulation patterns for dry season moisture sources in the Brazilian Amazon. Geophysical Research Letters, 50, e2023GL103167. https://doi.org/10.1029/2023gl103167. [PDF] 7. Araki, R., Mu, Y., & McMillan, H. (2023). Evaluation of GLDAS soil moisture seasonality in arid climates. Hydrological Sciences Journal. https://doi.org/10.1080/02626667.2023.2206032. 2022 6. Burberry, C. M., Flatley, A., Gray, A. B., Gulinger, J. J., Hamshaw, S. D., Hill, K., Mu, Y., & Rowland, J. C. (2022). Earth and Planetary Surface Processes Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science. Earth and Space Science, 9, e2022EA002414. https://doi.org/10.1029/2022EA002414. [PDF] 5. Mu, Y., & Jones, C. (2022), An observational analysis of precipitation and deforestation age in the Brazilian Legal Amazon, Atmospheric Research, 271, 106122, https://doi.org/10.1016/j.atmosres.2022.106122. 4. Blanken, P. D., Brunet, D., Dominguez, C., Goursaud Oger, S., Hussain, S., Jain, M., Koren, G., & Mu, Y., et al. (2022). Atmospheric sciences perspectives on integrated, coordinated, open, networked (ICON) science. Earth and Space Science, 9, e2021EA002204. https://doi.org/10.1029/2021EA002204 [PDF] 2021
3. Mu, Y., Biggs, T., & Shen, S. S. P. (2021). Satellite-based precipitation estimates using a dense rain gauge network over the Southwestern Brazilian Amazon: Implication for identifying trends in dry season rainfall. Atmospheric Research, 261, 105741. https://doi.org/10.1016/j.atmosres.2021.105741 [PDF] 2. Mu, Y., Biggs, T. W., & De Sales, F. (2021). Forests mitigate drought in an agricultural region of the Brazilian Amazon: Atmospheric moisture tracking to identify critical source areas. Geophysical Research Letters, 48, e2020GL091380. https://doi.org/10.1029/2020GL091380 [PDF] 2020
1. Mu, Y., Biggs, T., Stow, D., & Numata, I. (2020). Mapping heterogeneous forest-pasture mosaics in the Brazilian Amazon using a spectral vegetation variability index, band transformations and random forest classification. International Journal of Remote Sensing, 41(22), 8682-8692. https://doi.org/10.1080/2150704X.2020.1802529 |
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