Peer-reviewed Journal Articles (55, published, in press, accepted)
1. Zardi, D.; Falocchi, M.; Giovannini, L.; Tirler, W.; Tomasi, E.; Antonacci, G.; Ferrero, E.; Alessandrini, S.; Jimenez, P.A.; Kosovic, B.; et al. The Bolzano Tracer Experiment (BTEX). Bull. Am. Meteorol. Soc. 2020, doi:10.1175/bams-d-19-0024.1.
2. Kumar, R.; Ghude, S.D.; Biswas, M.; Jena, C.; Alessandrini, S.; Debnath, S.; Kulkarni, S.; Sperati, S.; Soni, V.K.; Nanjundiah, R.S.; et al. Enhancing Accuracy of Air Quality and Temperature Forecasts During Paddy Crop Residue Burning Season in Delhi Via Chemical Data Assimilation. J. Geophys. Res. Atmos. 2020, doi:10.1029/2020JD033019.
3. Kumar, R.; Lee, J.A.; Delle Monache, L.; Alessandrini, S. Effect of Meteorological Variability on Fine Particulate Matter Simulations Over the Contiguous United States. J. Geophys. Res. Atmos. 2019, 124, doi:10.1029/2018JD029637.
4. Alessandrini, S.; Mccandless, T. energies The Schaake Shu ffl e Technique to Combine Solar and Wind Power Probabilistic Forecasting. 2020.
5. Haupt, S.E.; McCandless, T.C.; Dettling, S.; Alessandrini, S.; Lee, J.A.; Linden, S.; Petzke, W.; Brummet, T.; Nguyen, N.; Kosović, B.; et al. Combining Artificial Intelligence with Physics-Based Methods for Probabilistic Renewable Energy Forecasting. Energies 2020, doi:10.3390/en13081979.
6. Kosovic, B.; Haupt, S.E.; Adriaansen, D.; Alessandrini, S.; Wiener, G.; Monache, L.D.; Liu, Y.; Linden, S.; Jensen, T.; Cheng, W.; et al. A comprehensive wind power forecasting system integrating artificial intelligence and numerical weather prediction. Energies 2020, 16, doi:10.3390/en13061372.
7. Lewis, W.E.; Rozoff, C.; Alessandrini, S.; Delle Monache, L. Performance of the HWRF Rapid Intensification Analog Ensemble (HWRF RI-AnEn) during the 2017 and 2018 HFIP Real-Time Demonstrations. Weather Forecast. 2020, 841–856, doi:10.1175/waf-d-19-0037.1.
8. Delle Monache, L.; Alessandrini, S.; Djalalova, I.; Wilczak, J.; Knievel, J.C.; Kumar, R. Improving Air Quality Predictions over the United States with an Analog Ensemble. Weather Forecast. 2020, 1–49, doi:10.1175/waf-d-19-0148.1.
9. Cloud, K.A.; Reich, B.J.; Rozoff, C.M.; Alessandrini, S.; Lewis, W.E.; Delle Monache, L. A Feed Forward Neural Network Based on Model Output Statistics for Short-Term Hurricane Intensity Prediction. Weather Forecast. 2019, doi:10.1175/waf-d-18-0173.1.
10. Alessandrini, S.; Sperati, S.; Delle Monache, L. Improving the Analog Ensemble Wind Speed Forecasts for Rare Events. Mon. Weather Rev. 2019, 147, 2677–2692, doi:10.1175/mwr-d-19-0006.1.
11. Ferrero, E.; Alessandrini, S.; Anderson, B.; Tomasi, E.; Jimenez, P.; Meech, S. Lagrangian simulation of smoke plume from fire and validation using ground-based lidar and aircraft measurements. Atmos. Environ. 2019, doi:10.1016/j.atmosenv.2019.06.049.
12. Tomasi, E.; Giovannini, L.; Falocchi, M.; Antonacci, G.; Jiménez, P.A.; Kosovic, B.; Alessandrini, S.; Zardi, D.; Delle Monache, L.; Ferrero, E. Turbulence parameterizations for dispersion in sub-kilometer horizontally non-homogeneous flows. Atmos. Res. 2019, doi:10.1016/j.atmosres.2019.05.018.
13. Yang, D.; Alessandrini, S. An ultra-fast way of searching weather analogs for renewable energy forecasting. Sol. Energy 2019, 185, 255–261, doi:10.1016/j.solener.2019.03.068.
14. Kumar, R.; Delle Monache, L.; Bresch, J.; Saide, P.E.; Tang, Y.; Liu, Z.; da Silva, A.M.; Alessandrini, S.; Pfister, G.; Edwards, D.; et al. Toward Improving Short-Term Predictions of Fine Particulate Matter Over the United States Via Assimilation of Satellite Aerosol Optical Depth Retrievals. J. Geophys. Res. Atmos. 2019, 124, 2753–2773, doi:10.1029/2018JD029009.
15. Kumar, R.; Lee, J.A.; Delle Monache, L.; Alessandrini, S. Effect of Meteorological Variability on Fine Particulate Matter Simulations Over the Contiguous United States. J. Geophys. Res. Atmos. 2019, doi:10.1029/2018JD029637.
16. Yang, J.; Astitha, M.; Delle Monache, L.; Alessandrini, S. An Analog Technique to Improve Storm Wind Speed Prediction Using a Dual NWP Model Approach. Mon. Weather Rev. 2018, 146, 4057–4077, doi:10.1175/MWR-D-17-0198.1.
17. Alessandrini, S.; Monache, L.D.; Rozoff, C.M.; Lewis, W.E. Probabilistic prediction of tropical cyclone intensity with an analog ensemble. Mon. Weather Rev. 2018, 146, 1723–1744, doi:10.1175/MWR-D-17-0314.1.
18. Ferrero, E.; Alessandrini, S.; Vandenberghe, F. Assessment of Planetary-Boundary-Layer Schemes in the Weather Research and Forecasting Model Within and Above an Urban Canopy Layer. Boundary-Layer Meteorol. 2018, doi:10.1007/s10546-018-0349-3.
19. Cervone, G.; Clemente-Harding, L.; Alessandrini, S.; Delle Monache, L. Short-term photovoltaic power forecasting using Artificial Neural Networks and an Analog Ensemble. Renew. Energy 2017, 108, doi:10.1016/j.renene.2017.02.052.
20. Sperati, S.; Alessandrini, S.; Delle Monache, L. Gridded probabilistic weather forecasts with an analog ensemble. Q. J. R. Meteorol. Soc. 2017, 143, doi:10.1002/qj.3137.
21. Keller, J.D.; Monache, L.D.; Alessandrini, S. Statistical downscaling of a high-resolution precipitation reanalysis using the analog ensemble method. J. Appl. Meteorol. Climatol. 2017, 56, doi:10.1175/JAMC-D-16-0380.1.
22. Alessandrini, S.; Vandenberghe, F.; Hacker, J.P. Definition of typical-day dispersion patterns as a consequence of a hazardous release. Int. J. Environ. Pollut. 2017, 62, doi:10.1504/IJEP.2017.089416.
23. Amicarelli, A.; Leuzzi, G.; Monti, P.; Alessandrini, S.; Ferrero, E. 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. Environ. Fluid Mech. 2017, doi:10.1007/s10652-017-9516-1.
24. Ferrero, E.; Alessandrini, S.; Anfossi, D. Lagrangian simulations of the plume rise in strong capping inversion. Int. J. Environ. Pollut. 2017, 62, 184–199, doi:10.1504/IJEP.2017.089405.
25. Bisignano, A.; Mortarini, L.; Ferrero, E.; Alessandrini, S. Model chain for buoyant plume dispersion. Int. J. Environ. Pollut. 2017, 62, doi:10.1504/IJEP.2017.089406.
26. Jiménez, P.A.; Alessandrini, S.; Haupt, S.E.; Deng, A.; Kosovic, B.; Lee, J.A.; Monache, L.D. The role of unresolved clouds on short-range global horizontal irradiance predictability. Mon. Weather Rev. 2016, 144, doi:10.1175/MWR-D-16-0104.1.
27. Davò, F.; Alessandrini, S.; Sperati, S.; Delle Monache, L.; Airoldi, D.; Vespucci, M.T. Post-processing techniques and principal component analysis for regional wind power and solar irradiance forecasting. Sol. Energy 2016, 134, doi:10.1016/j.solener.2016.04.049.
28. Sperati, S.; Alessandrini, S.; Delle Monache, L. An application of the ECMWF Ensemble Prediction System for short-term solar power forecasting. Sol. Energy 2016, 133, doi:10.1016/j.solener.2016.04.016.
29. Ferrero, E.; Alessandrini, S.; Balanzino, A. Impact of the electric vehicles on the air pollution from a highway. Appl. Energy 2016, 169, doi:10.1016/j.apenergy.2016.01.098.
30. Alessandrini, S.; Delle Monache, L.; Sperati, S.; Cervone, G. An analog ensemble for short-term probabilistic solar power forecast. Appl. Energy 2015, 157, doi:10.1016/j.apenergy.2015.08.011.
31. Sperati, S.; Alessandrini, S.; Pinson, P.; Kariniotakis, G. The “Weather intelligence for renewable energies” benchmarking exercise on short-term forecasting of wind and solar power generation. Energies 2015, 8, doi:10.3390/en8099594.
32. Junk, C.; Monache, L.D.; Alessandrini, S. Analog-based ensemble model output statistics. Mon. Weather Rev. 2015, 143, 2909–2917, doi:10.1175/MWR-D-15-0095.1.
33. Michiorri, A.; Nguyen, H.M.; Alessandrini, S.; Bremnes, J.B.; Dierer, S.; Ferrero, E.; Nygaard, B.E.; Pinson, P.; Thomaidis, N.; Uski, S. Forecasting for dynamic line rating. Renew. Sustain. Energy Rev. 2015, 52, 1713–1730, doi:10.1016/j.rser.2015.07.134.
34. Alessandrini, S.; Delle Monache, L.; Sperati, S.; Nissen, J.N. A novel application of an analog ensemble for short-term wind power forecasting. Renew. Energy 2015, 76, doi:10.1016/j.renene.2014.11.061.
35. Dinku, T.; Alessandrini, S.; Evangelisti, M.; Rojas, O. A description and evaluation of FAO satellite rainfall estimation algorithm. Atmos. Res. 2015, 163, doi:10.1016/j.atmosres.2015.01.020.
36. Junk, C.; Monache, L.D.; Alessandrini, S.; Cervone, G.; Von Bremen, L. Predictor-weighting strategies for probabilistic wind power forecasting with an analog ensemble. Meteorol. Zeitschrift 2015, 24, 361–379, doi:10.1127/metz/2015/0659.
37. Alessandrini, S.; Davò, F.; Sperati, S.; Benini, M.; Delle Monache, L. Comparison of the economic impact of different wind power forecast systems for producers. Adv. Sci. Res. 2014, 11, 49–53, doi:10.5194/asr-11-49-2014.
38. Bisignano, A.; Mortarini, L.; Ferrero, E.; Alessandrini, S. Analytical offline approach for concentration fluctuations and higher order concentration moments. Int. J. Environ. Pollut. 2014, 55, 58–66, doi:10.1504/IJEP.2014.065905.
39. Alessandrini, S.; Sperati, S.; Pinson, P. A comparison between the ECMWF and COSMO Ensemble Prediction Systems applied to short-term wind power forecasting on real data. Appl. Energy 2013, 107, 271–280, doi:10.1016/j.apenergy.2013.02.041.
40. Alessandrini, S.; Ferrero, E.; Anfossi, D. A new Lagrangian method for modelling the buoyant plume rise. Atmos. Environ. 2013, 77, doi:10.1016/j.atmosenv.2013.04.070.
41. Ferrero, E.; Mortarini, L.; Alessandrini, S.; Lacagnina, C. Application of a Bivariate Gamma Distribution for a Chemically Reacting Plume in the Atmosphere. Boundary-Layer Meteorol. 2013, 147, doi:10.1007/s10546-012-9775-9.
42. Ferrero, E.; Mortarini, L.; Alessandrini, S.; Lacagnina, C. A fluctuating plume model for pollutants dispersion with chemical reactions. Int. J. Environ. Pollut. 2012, 48, doi:10.1504/IJEP.2012.049646.
43. Alessandrini, S.; Balanzino, A.; Ferrero, E.; Riva, M. Lagrangian modelling evaluation of the NOx pollution reduction due to electric vehicles introduction. Int. J. Environ. Pollut. 2012, 50, doi:10.1504/IJEP.2012.051193.
44. Alessandrini, S.; Pinson, P.; Hagedorn, R.; Decimi, G.; Sperati, S. An application of ensemble/multi model approach for wind power production forecasting. Adv. Sci. Res 2011, 6, 2010, doi:10.5194/asr-6-35-2011.
45. Alessandrini, S.; Ferrero, E. A Lagrangian particle model with chemical reactions: application in real atmosphere. Int. J. Environ. Pollut. 2011, 47, 97, doi:10.1504/IJEP.2011.047350.
46. Balanzino, A.; Ferrero, E.; Pirovano, G.; Pertot, C.; Causà, M.; Alessandrini, S.; Costa, M.P. Annual simulation of secondary pollution over northern Italy. Int. J. Environ. Pollut. 2011, 45, doi:10.1504/IJEP.2011.040280.
47. Alessandrini, S.; Ferrero, E.; Belfiore, G. A Lagrangian dispersion model with chemical reactions. Int. J. Environ. Pollut. 2011, 44, doi:10.1504/IJEP.2011.038417.
48. Alessandrini, S.; Ferrero, E.; Pertot, C.; Castelli, S.T.; Orlandi, E. Turbulence closure in atmospheric circulation model and its influence on the dispersion. Int. J. Environ. Pollut. 2010, 40, 36–48, doi:10.1504/IJEP.2010.030881.
49. Alessandrini, S.; Ferrero, E. A hybrid Lagrangian-Eulerian particle model for reacting pollutant dispersion in non-homogeneous non-isotropic turbulence. Phys. A Stat. Mech. its Appl. 2009, 388, doi:10.1016/j.physa.2008.12.015.
50. Pirovano, G.; Coll, I.; Bedogni, M.; Alessandrini, S.; Costa, M.P.; Gabusi, V.; Lasry, F.; Menut, L.; Vautard, R. On the influence of meteorological input on photochemical modelling of a severe episode over a coastal area. Atmos. Environ. 2007, 41, doi:10.1016/j.atmosenv.2007.04.011.
51. Anfossi, D.; Alessandrini, S.; Trini Castelli, S.; Ferrero, E.; Oettl, D.; Degrazia, G. Tracer dispersion simulation in low wind speed conditions with a new 2D Langevin equation system. Atmos. Environ. 2006, 40, doi:10.1016/j.atmosenv.2006.05.081.
52. Alessandrini, S.; Ferrero, E.; Pertot, C.; Orlandi, E. Comparison of different dispersion models with tracer experiment. Nuovo Cim. della Soc. Ital. di Fis. C 2005, 28, doi:10.1393/ncc/i2005-10187-0.
53. Alessandrini, S.; Ferrero, E.; Castelli, S.T.; Anfossi, D. Influence of turbulence closure on the simulation of flow and dispersion in complex terrain. Int. J. Environ. Pollut. 2005, 24, doi:10.1504/IJEP.2005.007391.
54. Ferrero, E.; Anfossi, D.; Brusasca, G.; Tinarelli, G.; Alessandrini, S.; Trini Castelli, S. Simulation of atmospheric dispersion in the convective boundary layer: Comparison between two Lagrangian particle models. Int. J. Environ. Pollut. 1997, 8.
55. Anfossi, D.; Ferrero, E.; Tinarelli, G.; Alessandrini, S. A simplified version of the correct boundary conditions for skewed turbulence in Lagrangian particle models. Atmos. Environ. 1997, 31, doi:10.1016/1352-2310(96)00140-9.