Books, Websites, Apps, and Datasets

1. Bui, T.Q., M. Ramirez, D. Lafarga, E. Foufoula-Georgiou, Y.T. Song, and S.S.P. Shen, 2025: XSLICE Technology: Computer code, data and tutorial resources, for "XSLICE: An efficient visualization and dissection tool for diagnosing 4-dimensional oceanic and atmospheric dynamics".


2. Khadir, I., S. Stevenson, H. Li, K. Krick, A. Burrows, D. Hall, S. Posey, and S.S.P. Shen, 2025: SDSU FourCastNet: Computer code, data and tutorial resources, for "Democracy of AI numerical weather models: An example of global forecasting with FourCastNetv2 made by a university research lab using GPU".


3. Shen, S.S.P., and G.R. North, 2025: A Solutions Manual for Statistics and Data Visualization in Climate Science with R and Python, Version 2. Cambridge University Press, Cambridge, United Kingdom, 367pp. Available upon a request and approval procedure.


4. Shen, S.S.P, J. Stawsky and M. Sayd, 2024: Computer code, data and educational resources website, for "An Interative Textbook: Mathematicsl Modeling with R and Python".


5. Shen, S.S.P, and G.R. North, 2024: Solutions Manual, for "Statistics and Data Visualization in Climate Science with R and Python"Cambridge University Press, 116pp.


6. SDSU Climate Informatics Lab, 2023: Computer code, data and educational resources website for the book entitled "Statistics and Data Visualization in Climate Science with R and Python," by S.S.P. Shen and G.R. North, Cambridge University Press.


7. Shen, S.S.P, and G.R. North, 2023: Statistics and Data Visualization in Climate Science with R and Python, Cambridge University Press, 391pp, ISBN 978-1-108-84257-0.

Papers in Journals

1. Bui, T.Q., M. Ramirez, D. Lafarga, Y.T. Song, E. Foufoula-Georgiou, and S.S.P. Shen, 2025: XSLICE: An efficient visualization and dissection tool for diagnosing 4-dimensional oceanic and atmospheric dynamics. Journal of Atmospheric and Oceanic Technology, DOI: 10.1175/JTECH-D-24-0113.


2. Gao, Y., E. Foufoula-Georgiou, and J.A. Vrugt, 2025: Functional data decomposition reveals unexpectedly strong soil moisture-precipitation coupling over the Great Plains. arXiv post: https://doi.org/10.48550/arXiv.2506.13939.


3. Gao, Y., C. Guilloteau, E. Foufoula‐Georgiou, C. Xu, X. Sun, X., and J.A. Vrugt, 2024: Soil moisture‐cloud‐precipitation feedback in the lower atmosphere from functional decomposition of satellite observations. Geophysical Research Letters, 51(22), e2024GL110347, doi:10.1029/2024GL110347.


4. Guilloteau, C., X. Chen, R. Leung, and E. Foufoula-Georgiou, 2025: Amplified mesoscale and sub-mesoscale variability and increased concentration of precipitation under global warming over Western North America. Journal of Climate, 38(11), 2525–2542, doi:10.1175/JCLI-D-24-0343.1.


5. Guilloteau, C., and E. Efi Foufoula-Georgiou, 2024: Life cycle of precipitating cloud systems from synergistic satellite observations: geostationary cloud tracking and GPM microwave measurements. Journal of Hydrometeorology, 25(5), 789–805, doi:10.1175/JHM-D-23-0185.1.


6. Guilloteau, C., G. Kerrigan, K. Nelson, G. Migliorini, P. Smyth, R. Li, and E. Foufoula-Georgiou, 2025: A generative diffusion model for probabilistic ensembles of precipitation maps conditioned on multisensor satellite observations. IEEE Transactions in Geoscience and Remote Sensing, 63, 1-15 doi:10.1109/TGRS.2025.3548518.


7. Khadir, I., S. Stevenson, H. Li, K. Krick, A. Burrows, D. Hall, S. Posey, and S.S.P. Shen, 2025: Democracy of AI numerical weather models: An example of global forecasting with FourCastNetv2 made by a university research lab using GPU. arXiv post: https://doi.org/10.48550/arXiv.2504.17028


8. Li, R., C. Guilloteau, and E. Foufoula-Georgiou, 2025: Added value of environmental variables for satellite precipitation retrieval: a temporal coevolution perspective and a machine learning integration assessment. Geophysical Research Letters, 52(11), e2025GL116048, doi:10.1029/2025GL116048.


9. Li, R., C. Guilloteau, P.E. Kirstetter, and E. Foufoula-Georgiou, 2024: Understanding the error patterns of multi-satellite precipitation products during the lifecycle of precipitation events for diagnostics and algorithm improvement. Journal of Hydrology, doi:10.1016/j.jhydrol.2024.132610.


10. Maneenoi, N., L. M. Russell, S. Han, J. L. Dedrick, A. S. Williams, V. Z. Berta, C. Pelayo, M. A. Zawadowicz, A. J. Sedlacek III, I. Silber, M. Thieman, D. Painemal, and S.S. P. Shen, 2025: Photochemical and cloud and aerosol aqueous contributions to regionally-emitted shipping and biogenic non-sea-salt sulfate aerosol in coastal California, Environmental Science & Technology Air. DOI: https://doi.org/10.1021/acsestair.4c00352


11. Mohammed, A., A. Ebtehaj, E. J. Cohen, & E. Foufoula-Georgiou, 2025: On risk of rain on snow over high-latitude coastal areas of North America, Geophysical Research Letters, doi:10.1029/2025GL114775.


12. Parajuli, S., T. Biggs, N. Galvez, P. Quintana, H. Ciborowski, F. De Sales, M. Zavala, C. Jones, C. Thompson, S. Hurtado-Gonzalez, S. Madonia, and S.S.P. Shen, 2025: Heat-related rest-break recommendations for farmworkers in California based on wet-bulb globe temperature. Communications Earth & Environment, 6, 359. https://doi.org/10.1038/s43247-025-02327-9


13. Page, E., S.S.P. Shen, and R.C.J. Somerville, 2024: Can we do better at teaching mathematics to undergraduate atmospheric science students? Bulletin of the American Meteorological Society. DOI: https://doi.org/10.1175/BAMS-D-22-0245.1


14. Desai, A., C. Guilloteau, W.E. Heilman, J.J. Charney, N.S. Skowronski, K.L. Clark, M.R. Gallagher, E. Foufoula-Georgiou & T. Banerjee, 2024: Investigating fire-atmosphere interaction in a forest canopy using wavelets, Boundary Layer Meteorology, 190(21), https://doi.org/10.1007/s10546-024-00862-0


15. Guilloteau, C. and E. Foufoula-Georgiou, 2024: Life cycle of precipitating cloud systems from synergistic satellite observations: geostationary cloud tracking and GPM microwave measurements, Journal of Hydrometeorology, doi:10.1175/JHM-D-23-0185.1.


16. Liu, T., J. Randerson, Y. Chen, D. Morton, E. Wiggins, P. Smythe, E. Foufoula-Georgiou, R. Nadler, and O. Nevo, 2024: Systematically tracking the hourly progression of large wildfires using GOES satellite observations, Earth System Science Data, doi:10.5194/essd-16-1395-2024.


17. Engsig, M., A. Tejedor, Y. Moreno, E. Foufoula-Georgiou and C. Kasmi, 2024: DomiRank centrality reveals structural fragility of complex networks via node dominance, Nature Communications, 15,56, doi:10.1038/s41467-023-44257-0.


18. Li, R., C. Guilloteau, P.E. Kirstetter and E. Foufoula-Georgiou, 2024: A new event-based error decomposition scheme for satellite precipitation products, Geophysical Research Letters, doi:10.1029/2023GL105343.