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                Published Articles

2025
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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.
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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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