Stefano Alessandrini

Peer-reviewed Journal Articles (41, published, in press, accepted)

1. Alessandrini, S., Delle Monache, L., Rozoff, C. M., & Lewis, W. E. (2018). Probabilistic Prediction of Tropical Cyclone Intensity with an Analog Ensemble. Monthly Weather Review, 146(6), 1723-1744.
2. Jang, J., Astitha, M., Delle Monache, L., Alessandrini S. (2018) An analog technique to improve storm wind-speed prediction using a dual NWP model approach. Accepted by Monthly Weather Review.
3. Ferrero, E., Alessandrini, S. and Vandenberghe, F., 2018. Assessment of Planetary-Boundary-Layer Schemes in the Weather Research and Forecasting Model Within and Above an Urban Canopy Layer. Boundary-Layer Meteorology, pp.1-31.
4. Cervone, G., Clemente-Harding, L., Alessandrini, S., & Delle Monache, L. (2017). Short-term photovoltaic power forecasting using Artificial Neural Networks and an Analog Ensemble. Renewable Energy, 108, 274-286.
5. Sperati, S., Alessandrini, S., & Delle Monache, L. (2017). Gridded probabilistic weather forecasts with an analog ensemble. Quarterly Journal of the Royal Meteorological Society, 143(708), 2874-2885.
6. Keller, J. D., Delle Monache, L., & Alessandrini, S. (2017). Statistical downscaling of a high-resolution precipitation reanalysis using the analog ensemble method. Journal of Applied Meteorology and Climatology, 56(7), 2081-2095.
7. Alessandrini, S., Vandenberghe, F., & Hacker, J. P. (2017). Definition of typical-day dispersion patterns as a consequence of a hazardous release. International Journal of Environment and Pollution, 62(2-4), 305-318.
8. Amicarelli, A., Leuzzi, G., Monti, P., Alessandrini, S., & Ferrero, E. (2017). A stochastic Lagrangian micromixing model for the dispersion of reactive scalars in turbulent flows: role of concentration fluctuations and improvements to the conserved scalar theory under non-homogeneous conditions. Environmental Fluid Mechanics, 17(4), 715-753.
9. Ferrero, E., Alessandrini, S., & Anfossi, D. (2017). Lagrangian simulations of the plume rise in strong capping inversion. International Journal of Environment and Pollution, 62(2-4), 184-199.
10. Bisignano, A., Mortarini, L., Ferrero, E., & Alessandrini, S. (2017). Model chain for buoyant plume dispersion. International Journal of Environment and Pollution, 62(2-4), 200-213.
11. Jiménez, P. A., Alessandrini, S., Haupt, S. E., Deng, A., Kosovic, B., Lee, J. A., & Delle Monache, L. (2016). The role of unresolved clouds on short-range global horizontal irradiance predictability. Monthly Weather Review, 144(9), 3099-3107.
12. Davò, F., Alessandrini, S., Sperati, S., Delle Monache, L., Airoldi, D., & Vespucci, M. T. (2016). Post-processing techniques and principal component analysis for regional wind power and solar irradiance forecasting. Solar Energy, 134, 327-338.
13. Sperati, S., Alessandrini, S., & Delle Monache, L. (2016). An application of the ECMWF Ensemble Prediction System for short-term solar power forecasting. Solar Energy, 133, 437-450.
14. Ferrero, E., Alessandrini, S., & Balanzino, A. (2016). Impact of the electric vehicles on the air pollution from a highway. Applied Energy, 169, 450-459.
15. Alessandrini, S., Delle Monache, L., Sperati, S., & Cervone, G. (2015). An analog ensemble for short-term probabilistic solar power forecast. Applied energy, 157, 95-110.
16. Sperati, S., Alessandrini, S., Pinson, P., & Kariniotakis, G. (2015). The “weather intelligence for renewable energies” benchmarking exercise on short-term forecasting of wind and solar power generation. Energies, 8(9), 9594-9619.
17. Junk, C., Delle Monache, L., & Alessandrini, S. (2015). Analog-based ensemble model output statistics. Monthly Weather Review, 143(7), 2909-2917.
18. Michiorri, A., Nguyen, H. M., Alessandrini, S., Bremnes, J. B., Dierer, S., Ferrero, E., ... & Uski, S. (2015). Forecasting for dynamic line rating. Renewable and Sustainable Energy Reviews, 52, 1713-1730.
19. Alessandrini, S., Delle Monache, L., Sperati, S., & Nissen, J. N. (2015). A novel application of an analog ensemble for short-term wind power forecasting. Renewable Energy, 76, 768-781.
20. Dinku, T., Alessandrini, S., Evangelisti, M., & Rojas, O. (2015). A description and evaluation of FAO satellite rainfall estimation algorithm. Atmospheric Research, 163, 48-60.
21. Junk, C., Delle Monache, L., Alessandrini, S., Cervone, G., & von Bremen, L. (2015). Predictor-weighting strategies for probabilistic wind power forecasting with an analog ensemble. Meteorologische Zeitschrift, 24(4), 361-379.
22. Alessandrini, S., Davò, F., Sperati, S., Benini, M., & Delle Monache, L. (2014). Comparison of the economic impact of different wind power forecast systems for producers. Advances in Science and Research, 11, 49.
23. Bisignano, A., Mortarini, L., Ferrero, E., & Alessandrini, S. (2014). Analytical offline approach for concentration fluctuations and higher order concentration moments. International Journal of Environment and Pollution, 55(1-4), 58-66.
24. Alessandrini, S., Sperati, S., & Pinson, P. (2013). A comparison between the ECMWF and COSMO Ensemble Prediction Systems applied to short-term wind power forecasting on real data. Applied energy, 107, 271-280.
25. Alessandrini, S., Ferrero, E., & Anfossi, D. (2013). A new Lagrangian method for modelling the buoyant plume rise. Atmospheric environment, 77, 239-249.
26. Ferrero, E., Mortarini, L., Alessandrini, S., & Lacagnina, C. (2013). Application of a bivariate gamma distribution for a chemically reacting plume in the atmosphere. Boundary-layer meteorology, 147(1), 123-137.
27. Ferrero, E., Mortarini, L., Alessandrini, S., & Lacagnina, C. (2012). A fluctuating plume model for pollutants dispersion with chemical reactions. International Journal of Environment and Pollution, 48(1-4), 3-12.
28. Alessandrini, S., Balanzino, A., Ferrero, E., & Riva, M. (2012). Lagrangian modelling evaluation of the NO x pollution reduction due to electric vehicles introduction. International Journal of Environment and Pollution, 50(1-4), 200-208.
29. S Alessandrini, P Pinson, R Hagedorn, G Decimi, S Sperati, “An application of ensemble/multi model approach for wind power production forecasting”, Adv. Sci. Res., 5–37, 2011
30. Alessandrini, S., Pinson, P., Hagedorn, R., Decimi, G., & Sperati, S. (2011). An application of ensemble/multi model approach for wind power production forecasting. Advances in Science and Research, 6, 35.
31. Alessandrini, S., & Ferrero, E. (2011). A Lagrangian particle model with chemical reactions: application in real atmosphere. International Journal of Environment and Pollution, 47(1-4), 97-107.
32. Balanzino, A., Ferrero, E., Pirovano, G., Pertot, C., Causa, M., Alessandrini, S., & Costa, M. P. (2011). Annual simulation of secondary pollution over northern Italy. International Journal of Environment and Pollution, 45(4), 353-384.
33. Alessandrini, S., Ferrero, E., & Belfiore, G. (2011). A Lagrangian dispersion model with chemical reactions. International Journal of Environment and Pollution, 44(1-4), 182-189.
34. Alessandrini, S., Ferrero, E., Pertot, C., Trini Castelli, S., & Orlandi, E. (2010). Turbulence closure in atmospheric circulation model and its influence on the dispersion. International Journal of Environment and Pollution, 40(1-3), 36-48.
35. Alessandrini, S., & Ferrero, E. (2009). A hybrid Lagrangian–Eulerian particle model for reacting pollutant dispersion in non-homogeneous non-isotropic turbulence. Physica A: Statistical Mechanics and its Applications, 388(8), 1375-1387.
36. Pirovano, G., Coll, I., Bedogni, M., Alessandrini, S., Costa, M. P., Gabusi, V., Lasry, R., Menut, L., Vautard, R. (2007). On the influence of meteorological input on photochemical modelling of a severe episode over a coastal area. Atmospheric Environment, 41(30), 6445-6464.
37. Anfossi, D., Alessandrini, S., Castelli, S. T., Ferrero, E., Oettl, D., & Degrazia, G. (2006). Tracer dispersion simulation in low wind speed conditions with a new 2D Langevin equation system. Atmospheric Environment, 40(37), 7234-7245.
38. Alessandrini, S., Ferrero, E., Pertot, C., & Orlandi, E. (2005). Comparison of different dispersion models with tracer experiment. Nuovo Cimento C Geophysics Space Physics C, 28, 141.
39. Alessandrini, S., Ferrero, E., Castelli, S. T., & Anfossi, D. (2005). Influence of turbulence closure on the simulation of flow and dispersion in complex terrain. International journal of environment and pollution, 24(1-4), 154-170.
40. Ferrero, E., Anfossi, D., Brusasca, G., Tinarelli, G., Alessandrini, S., & Castelli, S. T. (1997). Simulation of atmospheric dispersion in the convective boundary layer: comparison between two Lagrangian particle models. International Journal of Environment and Pollution, 8(3-6), 315-323.
41. Anfossi, D., Ferrero, E., Tinarelli, G., & Alessandrini, S. (1997). A simplified version of the correct boundary conditions for skewed turbulence in Lagrangian particle models. Atmospheric Environment, 31(2), 301-308.