Published Articles
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2023
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.2021.10574 [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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