Stefano Alessandrini

Proj Scientist III

Information

Bio

Stefano Alessandrini is currently a Project Scientist III and science deputy director of the Weather System Assessment Program (WSAP) with the National Center for Atmospheric Research (NCAR), Boulder, Colorado. His main research areas of interest are wind and solar energy probabilistic forecasting, application of air pollution models, environmental physics, turbulence, mesoscale modeling. He has published more than 50 articles regarding probabilistic forecasting of renewable energies and stochastic Lagrangian particle models. He earned a Laurea (M.S.) in Physics with Summa Cum Laude from the University of Milano, Italy (1996), and his Ph.D. at the University of Piemonte Orientale (Italy) (2011) with a topic regarding Lagrangian particle models. Before joining NCAR, he has worked for 12 years in Italy at RSE (Ricerca sul Sistema Energetico) carrying out research activities on mesoscale modeling and probabilistic forecasting of renewable energies. in 2013, he has been the Italian representative for the European Cost action “WIRE” (Weather Intelligence for Renewable Energies).

Publications

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.

Publications and Presentations (53)
Title	Source	Date
Comparison of two turbulence parameterisations for the simulation of the concentration variance dispersion	Air Quality, Atmosphere & Health	2022-10-11
Surface impacts of large offshore wind farms	Environmental Research Letters	2022-06-01
A comparison between Analog Ensemble and convolutional Neural Network Empirical-Statistical Downscaling techniques for reconstructing high-resolution near-surface wind	Energies	2022-02-25
The WRF-solar ensemble prediction system to provide solar irradiance probabilistic forecasts	IEEE Journal of Photovoltaics	2022-01-01
Predicting rare events of solar power production with the analog ensemble	Solar Energy	2022-01-01
Probabilistic predictions from deterministic Atmospheric River forecasts with Deep Learning	Monthly Weather Review	2022-01-01
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	2021-11-03
The impacts of transported wildfire smoke aerosols on surface air quality in New York State: A multi-year study using machine learning	Atmospheric Environment	2021-08-01
Analog ensemble methods for improving satellite-based intensity estimates of tropical cyclones	Atmosphere	2021-06-28
The Bolzano Tracer Experiment (BTEX)	Bulletin of the American Meteorological Society	2021-05-01
A dry deposition scheme for particulate matter coupled with a well-known Lagrangian Stochastic model for pollutant dispersion	Environmental Fluid Mechanics	2021-03-08
Exploring analog-based schemes for aerosol optical depth forecasting with WRF-Chem	Atmospheric Environment	2021-02-01
Estimation of PM2.5 concentrations in New York State: Understanding the influence of vertical mixing on surface PM2.5 using machine learning	Atmosphere	2020-11-30
Verification of deterministic solar forecasts	Solar Energy	2020-11-01
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	2020-09-16
A novel ensemble design for probabilistic predictions of fine particulate matter over the contiguous United States (CONUS)	Journal of Geophysical Research: Atmospheres	2020-08-27
Evaluation of PM2.5 forecast using chemical data assimilation in the WRF-CHEM model: A novel initiative under the ministry of earth sciences air quality early warning system for Delhi, India	Current Science	2020-06-01
The Schaake Shuffle technique to combine solar and wind power probabilistic forecasting	Energies	2020-05-15
Performance of the HWRF rapid intensification analog ensemble (HWRF RI-AnEn) during the 2017 and 2018 HFIP real-time demonstrations	Weather and Forecasting	2020-04-15
Combining artificial intelligence with physics-based methods for probabilistic renewable energy forecasting	Energies	2020-04-02
A comprehensive wind power forecasting system integrating artificial intelligence and numerical weather prediction	Energies	2020-03-16
Turbulence parameterizations for dispersion in sub-kilometer horizontally non-homogeneous flows	Atmospheric Research	2019-11-01
Lagrangian simulation of smoke plume from fire and validation using ground-based lidar and aircraft measurements	Atmospheric Environment	2019-09-01
A feed forward neural network based on model output statistics for short-term hurricane intensity prediction	Weather and Forecasting	2019-08-01
Improving the analog ensemble wind speed forecasts for rare events	Monthly Weather Review	2019-07-01
An ultra-fast way of searching weather analogs for renewable energy forecasting	Solar Energy	2019-06-01
Effect of meteorological variability on fine particulate matter simulations over the contiguous United States	Journal of Geophysical Research: Atmospheres	2019-05-27
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	2019-03-16
A Lagrangian dispersion model with a stochastic equation for the temperature fluctuations	International Journal of Environment and Pollution	2019-01-01
Atmospheric chemistry: A quiet revolution helping people mitigate risks of air pollution	14th iCACGP Symposium and 15th IGAC Science Conference	2018-09-24
Assessment of planetary-boundary-layer schemes in the Weather Research and Forecasting Model within and above an urban canopy layer	Boundary-Layer Meteorology	2018-08-01
Probabilistic prediction of tropical cyclone intensity with an analog ensemble	Monthly Weather Review	2018-06-01
Gridded probabilistic weather forecasts with an analog ensemble	Quarterly Journal of the Royal Meteorological Society	2017-10-11
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	2017-08-04
Short-term photovoltaic power forecasting using Artificial Neural Networks and an Analog Ensemble	Renewable Energy	2017-08-01
Statistical downscaling of a high-resolution precipitation reanalysis using the analog ensemble method	Journal of Applied Meteorology and Climatology	2017-07-01
Lagrangian simulations of the plume rise in strong capping inversion	International Journal of Environment and Pollution	2017-03-01
Definition of typical-day dispersion patterns as a consequence of a hazardous release	International Journal of Environment and Pollution	2017-03-01
Model chain for buoyant plume dispersion	International Journal of Environment and Pollution	2017-03-01
The role of unresolved clouds on short-range global horizontal irradiance predictability	Monthly Weather Review	2016-09-01
An application of the ECMWF Ensemble Prediction System for short-term solar power forecasting	Solar Energy	2016-08-01
The Sun4Cast® Solar Power Forecasting System: The Result of the Public-Private-Academic Partnership to Advance Solar Power Forecasting	NCAR Technical Note	2016-06-16
Post-processing techniques and principal component analysis for regional wind power and solar irradiance forecasting	Solar Energy	2016-05-18
Impact of the electric vehicles on the air pollution from a highway	Applied Energy	2016-05-01
Forecasting for dynamic line rating	Renewable and Sustainable Energy Reviews	2015-12-01
An analog ensemble for short-term probabilistic solar power forecast	Applied Energy	2015-11-01
A description and evaluation of FAO satellite rainfall estimation algorithm	Atmospheric Research	2015-09-15
The "weather intelligence for renewable energies" benchmarking exercise on short-term forecasting of wind and solar power generation	Energies	2015-09-03
Predictor-weighting strategies for probabilistic wind power forecasting with an analog ensemble	Meteorologische Zeitschrift	2015-07-21
Analog-based ensemble model output statistics	Monthly Weather Review	2015-07-01
A novel application of an analog ensemble for short-term wind power forecasting	Renewable Energy	2015-04-01
Comparison of the economic impact of different wind power forecast systems for producers	Advances in Science and Research	2014-05-19
Probabilistic wind and solar power predictions	Renewable Energy Integration	2014-01-01

Curriculum Vitae

StefanoAlessandrini_CV.docx

Education

Degree	School Name	Country	Field of Study
PhD	Università degli Studi del Piemonte Orientale Amedeo Avogadro	Italy	Geophysics
MS	Universita' Statale	Italy	Physics

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