23. Tang, R., J. Mao, M. Jin, A. Chen, Y. Yu, S. Shi, Y. Zhang, F.M. Hoffman, M. Xu, and Y. Wang (2021) Interannual variability and climatic sensitivity of global wildfire activity, Advances in Climate Change Research, 12 (2021), 686-695.
22. Yu, Y., and P. Ginoux (2021), Assessing the contribution of ENSO and MJO to Australian dust activity based on satellite and ground-based observations, Atmospheric Chemistry and Physics, 21, 8511–8530, https://doi.org/10.5194/acp-21-8511-2021.
21. Yu, Y., O. V. Kalashnikova, M. J. Garay, H. Lee, M. Choi, G. S. Okin, J. E. Yorks, J. R. Campbell, and J. Marquis (2021), A Global Analysis of Dust and Dust Mixture Diurnal Variability Using CATS Observations, Atmospheric Chemistry and Physic, 21, 1427-1447, https://doi.org/10.5194/acp-21-1427-2021.
20. Yu, Y., J. P. Dunne, E. Shevliakova, P. Ginoux, S. Malyshev, J. G. John, and J. P. Krasting (2021), Increased risk of the 2019 Alaskan July fires due to anthropogenic activity [in “Explaining Extremes of 2019 from a Climate Perspective”], Bulletin of American Meteorological Society, 102 (1), S1-S7.
(GFDL Research Highlight https://www.gfdl.noaa.gov/research_highlight/increased-risk-of-the-2019-alaskan-july-fires-due-to-anthropogenic-activity/)
2020
19. Yu, Y., O. V. Kalashnikova, M. J. Garay, H. Lee, M. Notaro, J. R. Campbell, J. Marquis, P. Ginoux, and G. S. Okin (2020), Disproving the Bodélé depression as the primary source of dust fertilizing the Amazon Rainforest, Geophysical Research Letters, 47 (13), https://doi.org/10.1029/2020GL088020
(Editors' Highlight https://eos.org/editor-highlights/saharan-dust-reaching-the-americas-comes-from-el-djouf).
18. Yu, Y., J. Mao, P. E. Thornton, M. Notaro, S. D. Wullschleger, X. Shi, H. Forrest, and Y. Wang (2020), Quantifying the drivers and predictability of the wildfire variability in Africa, Nature Communications, 11, 2893, https://doi.org/10.1038/s41467-020-16692-w.
17. Notaro, M., F. Wang, Y. Yu, and J. Mao (2020), Projected Changes in the Terrestrial and Oceanic Regulators of Climate Variability Across Sub-Saharan Africa, Climate Dynamics, 55, 1031-1057, 10.1007/s00382-020-05308-0.
16. Garay, M. J., M. Witek, R. Kahn, F. Seidel, J. Limbacher, M. Bull, D. Diner, E. Hansen, O. Kalashnikova, H. Lee, A. Nastan, and Y. Yu (2020), Introducing the 4.4 km Spatial Resolution MISR Aerosol Product, Atmospheric Measurement Technique, 13, 593–628, https://doi.org/10.5194/amt-13-593-2020.
15. Yu, Y. and M. Notaro (2020), Observed land surface feedbacks on the Australian Monsoon system, Climate Dynamics, 54, 3021-2040, https://doi.org/10.1007/s00382-020-05154-0.
2019
14. Notaro, M., F. Wang, and Y. Yu (2019), Elucidating observed land surface feedbacks across sub-Saharan Africa, Climate Dynamics, 53, 1741-1763, https://doi.org/10.1007/s00382-019-04730-3.
13. Yu, Y., O. V. Kalashnikova, M. J. Garay, and M. Notaro (2019), Climatology of Asian dust activation and transport potential based on MISR satellite observations and trajectory analysis, Atmos. Chem. Phys., 19, 363-378.
2018
12. Yu, Y., O. V. Kalashnikova, M.J. Garay, H. Lee, and M. Notaro (2018), Identification and characterization of dust source regions across North Africa and the Middle East using MISR satellite observations, Geophysical Research Letters, 45, 6690–6701.
11. Lee, H., Garay, M., Kalashnikova, O., Yu, Y., and Gibson, P. (2018), How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models? Remote Sensing, 10(9), 1326.
10. Yu, Y., Notaro, M., Wang, F., Mao, J., Shi, X., and Wei, Y. (2018), Validation of a statistical methodology for extracting vegetation feedbacks: focus on North African ecosystems in the Community Earth System Model. Journal of Climate, 31(4), 1565-1586.
2017
9. Yu, Y., Notaro, M., Wang, F., Mao, J., Shi, X., and Wei, Y. (2017), Observed positive vegetation-rainfall feedbacks in the Sahel dominated by a moisture recycling mechanism. Nature communications, 8(1), 1873.
8. Wang, F., Yu, Y., Notaro, M., Mao, J., Shi, X., and Wei, Y. (2017), Advancing a model-validated statistical method for decomposing the key oceanic drivers of regional climate: Focus on northern and tropical African climate variability in the Community Earth System Model (CESM). Journal of Climate, 30(21), 8517-8537.
7. Notaro, M., Chen, G., Yu, Y., Wang, F., and Tawfik, A. (2017), Regional climate modeling of vegetation feedbacks on the Asian–Australian monsoon systems. Journal of Climate, 30(5), 1553-1582.
2016 and prior
6. Wen, Z., Yu, Y., and Yan, J. (2016), Best available techniques assessment for coal gasification to promote cleaner production based on the ELECTRE-II method. Journal of cleaner production, 129, 12-22.
5. Yu, Y., Notaro, M., Kalashnikova, O. V., and Garay, M. J. (2016), Climatology of summer Shamal wind in the Middle East. Journal of Geophysical Research: Atmospheres, 121(1), 289-305.
4. Yu, Y., Notaro, M., Liu, Z., Wang, F., Alkolibi, F., Fadda, E., and Bakhrjy, F. (2015), Climatic controls on the interannual to decadal variability in Saudi Arabian dust activity: Toward the development of a seasonal dust prediction model. Journal of Geophysical Research: Atmospheres, 120(5), 1739-1758.
3. Notaro, M., Yu, Y., and Kalashnikova, O. V. (2015), Regime shift in Arabian dust activity, triggered by persistent Fertile Crescent drought. Journal of Geophysical Research: Atmospheres, 120(19).
2. Yu, Y., Notaro, M., Liu, Z., Kalashnikova, O., Alkolibi, F., Fadda, E., and Bakhrjy, F. (2013), Assessing temporal and spatial variations in atmospheric dust over Saudi Arabia through satellite, radiometric, and station data. Journal of Geophysical Research: Atmospheres, 118(23), 13-253.
1. Yu, Y., and Wen, Z. (2010), Evaluating China's urban environmental sustainability with Data Envelopment Analysis. Ecological Economics, 69(9), 1748-1755.
Google Scholar: scholar.google.com/citations?user=yHdUcFcAAAAJ&hl=en