Publication list:
Peer-reviewed publications:
[13] Lou, J., Joh, Y., & Delworth, T. L. (2025). Identifying common precursors of decadal vapor pressure deficit variability in the southwestern United States. J. Climate (In press). 10.1175/JCLI-D-24-0296.1
[12] Lou, J., Joh, Y., Delworth, T. L., & Jia, L. (2025). Identifying source of predictability for vapor pressure deficit variability in the southwestern United States. Npj Climate and Atmospheric Science, 8(1), 1–14. https://doi.org/10.1038/s41612-025-01028-6
[11] Amaya, D. J., Maher, N., Deser, C., Jacox, M. G., Alexander, M. A., Newman, M., Dias, J., & Lou, J. (2025). Linking Projected Changes in Seasonal Climate Predictability and ENSO Amplitude. Journal of Climate, https://doi.org/10.1175/JCLI-D-23-0648.1
[10] Anderson, W, S. Shukla, J. Verdin, A. Hoell, C. Justice, B. Barker, K. Slinski, N. Lenssen, J. Lou, B. Cook, and A. McNally. (2024). Preseason maize and wheat yield forecasts for early warning of crop failure. Nature Communications, 15(1), 7262. https://doi.org/10.1038/s41467-024-51555-8.
[9] Lou, J., M. Newman, & A. Hoell, 2023: Multi-decadal variation of ENSO forecast skill since the late 1800s. Npj Clim. Atmospheric Sci. 6, 1–14.
[8] Di Lorenzo E. and coauthors, 2023: Modes and mechanisms of Pacific decadal-scale variability. Annual Review of Marine Science. 15, 249-275.
[7] Albers, J. R., M. Newman, A. Hoell, M. L. Breeden, Y. Wang, and J. Lou, 2022: The February 2021 Cold Air Outbreak in the United States: a Subseasonal Forecast of Opportunity. Bull. Am. Meteorol. Soc. E2887–E2904
[6] Lou, J., T. J. O’Kane, and N. J. Holbrook, 2021: Linking the atmospheric Pacific-South American mode with oceanic variability and predictability. Comm. Earth Environ., 2.
[5] Lou, J., T. J. O’Kane and N. J. Holbrook, 2021: A Linear Inverse Model of Tropical and South Pacific Climate Variability: Optimal Structure and Stochastic Forcing. J. Climate, 34, 143-155.
[4] Lou, J., T. J. O’Kane and N. J. Holbrook, 2020: A Linear Inverse Model of Tropical and South Pacific Seasonal Predictability. J. Climate. 33, 4537-4554. doi:10.1175/jcli-d-19-0548.1
[3] Lou, J., N. J. Holbrook, and T. J. O’Kane, 2019: South Pacific Decadal Climate Variability and Potential Predictability. J. Climate, 32, 6051-6069.
[2] Ying, K., C. S. Frederiksen, X. Zheng, J. Lou, and T. Zhao, 2018: Variability and predictability of decadal mean temperature and precipitation over China in the CCSM4 last millennium simulation. Clim. Dyn. 51, 2989-3008.
[1] Lou, J., X. Zheng, C. S. Frederiksen, H. Liu, S. Grainger, and K. Ying, 2016: Simulated decadal modes of the NH atmospheric circulation arising from intra-decadal variability, external forcing and slow-decadal climate processes. Climate Dyn., 48, 2635–2652.
In preparation:
1. Lou, J., Joh, Y., & Delworth, T. L., Changes of extreme fire weather conditions in the contiguous United States.
2. Lou, J., Newman, M., Hoell, A., & Wittenberg, A. L., ENSO forecast skill in a changing climate.
3. Lou, J., Wittenberg, A.L., Joh, Y., & Wu, X., Is ENSO becoming more asymmetric under a changing climate?