Peer-reviewed Journal Articles (68, published, in press, accepted)
1. Ferrero, E.; Alessandrini, S.; Meech, S.; Rozoff, C. A 3D Lagrangian Stochastic Particle Model for the Concentration Variance Dispersion. Bulletin of Atmospheric Science and Technology 2022, 3, doi:10.1007/s42865-022-00045-0.
2. Alessandrini, S. Predicting Rare Events of Solar Power Production with the Analog Ensemble. Solar Energy 2022, 231, doi:10.1016/j.solener.2021.11.033.
3. Rozoff, C.M.; Alessandrini, S. A Comparison between Analog Ensemble and Convolutional Neural Network Empirical-Statistical Downscaling Techniques for Reconstructing High-Resolution Near-Surface Wind. Energies (Basel) 2022, 15, doi:10.3390/en15051718.
4. Golbazi, M.; Archer, C.L.; Alessandrini, S. Surface Impacts of Large Offshore Wind Farms. Environmental Research Letters 2022, 17, 064021, doi:10.1088/1748-9326/ac6e49.
5. Chapman, W.E.; Monache, L.D.; Alessandrini, S.; Subramanian, A.C.; Martin Ralph, F.; Xie, S.P.; Lerch, S.; Hayatbini, N. Probabilistic Predictions from Deterministic Atmospheric River Forecasts with Deep Learning. Mon Weather Rev 2022, 150, doi:10.1175/MWR-D-21-0106.1.
6. Hung, W.T.; Lu, C.H. (Sarah); Alessandrini, S.; Kumar, R.; Lin, C.A. The Impacts of Transported Wildfire Smoke Aerosols on Surface Air Quality in New York State: A Multi-Year Study Using Machine Learning. Atmos Environ 2021, 259, doi:10.1016/j.atmosenv.2021.118513.
7. Lewis, W.E.; Olander, T.L.; Velden, C.S.; Rozoff, C.; Alessandrini, S. Analog Ensemble Methods for Improving Satellite-Based Intensity Estimates of Tropical Cyclones. Atmosphere (Basel) 2021, 12, doi:10.3390/atmos12070830.
8. Bodini, N.; Hu, W.; Optis, M.; Cervone, G.; Alessandrini, S. Assessing Boundary Condition and Parametric Uncertainty in Numerical-Weather-Prediction-Modeled, Long-Term Offshore Wind Speed through Machine Learning and Analog Ensemble. Wind Energy Science 2021, 6, doi:10.5194/wes-6-1363-2021.
9. Raman, A.; Arellano, A.F.; Delle Monache, L.; Alessandrini, S.; Kumar, R. Exploring Analog-Based Schemes for Aerosol Optical Depth Forecasting with WRF-Chem. Atmos Environ 2021, 246, 118134, doi:10.1016/j.atmosenv.2020.118134.
10. Amicarelli, A.; Alessandrini, S.; Agate, G.; Ferrero, E.; Pirovano, G.; Tinarelli, G.L.; Trini Castelli, S. A Dry Deposition Scheme for Particulate Matter Coupled with a Well-Known Lagrangian Stochastic Model for Pollutant Dispersion. Environmental Fluid Mechanics 2021, 1–31, doi:10.1007/s10652-021-09780-y.
11. Meech, S.; Alessandrini, S.; Chapman, W.; Delle Monache, L. Post-Processing Rainfall in a High-Resolution Simulation of the 1994 Piedmont Flood. Bulletin of Atmospheric Science and Technology 2020, 1, 373–385, doi:10.1007/s42865-020-00028-z.
12. Hung, W.-T.; Lu, C.-H. (Sarah); Alessandrini, S.; Kumar, R.; Lin, C.-A. Estimation of PM2.5 Concentrations in New York State: Understanding the Influence of Vertical Mixing on Surface PM2.5 Using Machine Learning. Atmosphere (Basel) 2020, 11, 1303, doi:10.3390/atmos11121303.
13. Yang, D.; Alessandrini, S.; Antonanzas, J.; Antonanzas-Torres, F.; Badescu, V.; Beyer, H.G.; Blaga, R.; Boland, J.; Bright, J.M.; Coimbra, C.F.M.; et al. Verification of Deterministic Solar Forecasts. Solar Energy 2020, 210, 20–37, doi:10.1016/j.solener.2020.04.019.
14. 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.
15. 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. Journal of Geophysical Research: Atmospheres 2020, doi:10.1029/2020JD033019.
16. Kumar, R.; Alessandrini, S.; Hodzic, A.; Lee, J.A. A Novel Ensemble Design for Probabilistic Predictions of Fine Particulate Matter Over the Contiguous United States (CONUS). Journal of Geophysical Research: Atmospheres 2020, doi:10.1029/2020JD032554.
17. Alessandrini, S.; McCandless, T. The Schaake Shuffle Technique to Combine Solar and Wind Power Probabilistic Forecasting. Energies (Basel) 2020, 13, 2503, doi:10.3390/en13102503.
18. 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 (Basel) 2020, doi:10.3390/en13081979.
19. 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 (Basel) 2020, 16, doi:10.3390/en13061372.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. Yang, D.; Alessandrini, S. An Ultra-Fast Way of Searching Weather Analogs for Renewable Energy Forecasting. Solar Energy 2019, 185, 255–261, doi:10.1016/j.solener.2019.03.068.
27. 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. Journal of Geophysical Research: Atmospheres 2019, 124, 2753–2773, doi:10.1029/2018JD029009.
28. Kumar, R.; Lee, J.A.; Delle Monache, L.; Alessandrini, S. Effect of Meteorological Variability on Fine Particulate Matter Simulations Over the Contiguous United States. Journal of Geophysical Research: Atmospheres 2019, doi:10.1029/2018JD029637.
29. 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.
30. 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.
31. 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.
32. 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.
33. Sperati, S.; Alessandrini, S.; Delle Monache, L. Gridded Probabilistic Weather Forecasts with an Analog Ensemble. Quarterly Journal of the Royal Meteorological Society 2017, 143, doi:10.1002/qj.3137.
34. 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.
35. 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.
36. 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. Environmental Fluid Mechanics 2017, doi:10.1007/s10652-017-9516-1.
37. 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.
38. 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.
39. 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.
40. 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. Solar Energy 2016, 134, doi:10.1016/j.solener.2016.04.049.
41. Sperati, S.; Alessandrini, S.; Delle Monache, L. An Application of the ECMWF Ensemble Prediction System for Short-Term Solar Power Forecasting. Solar Energy 2016, 133, doi:10.1016/j.solener.2016.04.016.
42. 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.
43. 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.
44. 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 (Basel) 2015, 8, doi:10.3390/en8099594.
45. 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.
46. 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. Renewable and Sustainable Energy Reviews 2015, 52, 1713–1730, doi:10.1016/j.rser.2015.07.134.
47. 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.
48. 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.
49. Junk, C.; Monache, L.D.; Alessandrini, S.; Cervone, G.; Von Bremen, L. Predictor-Weighting Strategies for Probabilistic Wind Power Forecasting with an Analog Ensemble. Meteorologische Zeitschrift 2015, 24, 361–379, doi:10.1127/metz/2015/0659.
50. Alessandrini, S.; Davò, F.; Sperati, S.; Benini, M.; Delle Monache, L. Comparison of the Economic Impact of Different Wind Power Forecast Systems for Producers. Advances in Science and Research 2014, 11, 49–53, doi:10.5194/asr-11-49-2014.
51. 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.
52. 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.
53. 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.
54. 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.
55. 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.
56. 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.
57. 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.
58. 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.
59. 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.
60. 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.
61. 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.
62. Alessandrini, S.; Ferrero, E. A Hybrid Lagrangian-Eulerian Particle Model for Reacting Pollutant Dispersion in Non-Homogeneous Non-Isotropic Turbulence. Physica A: Statistical Mechanics and its Applications 2009, 388, doi:10.1016/j.physa.2008.12.015.
63. 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.
64. 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.
65. Alessandrini, S.; Ferrero, E.; Pertot, C.; Orlandi, E. Comparison of Different Dispersion Models with Tracer Experiment. Nuovo Cimento della Societa Italiana di Fisica C 2005, 28, doi:10.1393/ncc/i2005-10187-0.
66. 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.
67. 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.
68. 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.
