1. Lewis, W., Rozoff, C., Alessandrini, S., and Delle Monache, L., 2019. Performance of the HWRF Rapid Intensification Analog Ensemble (HWRF RI-AnEn) during the 2017 and 2018 HFIP Real-Time Demonstrations. Accepted to appear on Weather and Forecasting
  2. DeFlorio, M. J., Waliser, D. E., Ralph, F. M., Guan, B., Goodman, A., Gibson, P. B., Asharaf, S., Delle Monache, L., Zhang, Z., Subramanian, A. C., Vitart, F., Lin, H., and Kumar , A., 2019. Experimental Subseasonal‐to‐Seasonal (S2S) Forecasting of Atmospheric Rivers Over the Western United States. Journal of Geophysical Research, 124, 11242–11265
  3. Chapman, W. E., Subramanian, A. C., Delle Monache, L., Xie, S. P., and Ralph, F. M., 2019. Improving Atmospheric River Forecasts With Machine Learning. Geophysical Research Letters, 46, 10627–10635
  4. Shahriaria, M., Cervone, G., Clemente-Harding, L., and Delle Monache, L., 2019. Using the analog ensemble method as a proxy measurement for wind power predictability. Accepted to appear on Renewable Energy
  5. Cloud, K. A., Reich, B. J., Rozoff, C. M., Alessandrini, S., Lewis, W. E., and Delle Monache, L., 2019. A feed forward neural network based on model output statistics for short-term hurricane intensity prediction. Weather and Forecasting,
  6. Kumar, R., Delle Monache, L., Bresch, J., Saide, P. E., Tang, Y., Liu, Z., da Silva, A. M., Alessandrini, S., Pfister, G., Edwards, D., Lee, P., and Djalalova, I., 2019. 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, 10.1029/2018JD029009
  7. Kumar, R., Lee, J. A., Delle Monache, L., and Alessandrini, S., 2019. Effect of meteorological variability on fine particulate matter simulations over the contiguous United States. Journal of Geophysical Research,
  8. Tomasi, E., Giovannini, L., Falocchi, M., Antonacci, G., Jiménez, P. A., Kosovic, B., Alessandrini, S., Zardi, D., Delle Monache, L., and Ferrero, E., 2019. Turbulence parameterizations for dispersion in sub-kilometer horizontally non-homogeneous flows. Atmospheric Research, 228, 122–126
  9. Saide, P. E., Steinhoff, D. F., Kosovic, B., Weil, J., Downey, N., Blewitt, D., Hanna, S. R., and Delle Monache, L., 2018. Evaluating methods to estimate methane emissions from oil and gas production facilities using LES simulations. Sci. Technol., 52, 19, 11206-11214
  10. Gant, S., Weil, J., Delle Monache, L., McKenna, B., Garcia, M. M., Tickle, G., Tucker, H., Stewart, J., Kelsey, A., McGillivray, A., Batt, R., Witlox, H., and Wardman, M., 2018. Dense gas dispersion model development and testing for the Jack Rabbit II phase 1 chlorine release experiments. Atmospheric Environment, 192, 218-240
  11. Yang, J., Astitha, M., Delle Monache, L., and Alessandrini, A., 2018. An analog technique to improve storm wind speed prediction using a dual NWP model approach. Monthly Weather Review, 146, 4057–4077
  12. Pan, L., Liu, Y., Knievel, J., Delle Monache, L., and Roux, G., 2018. Evaluations of WRF sensitivities in surface simulations with an ensemble prediction system. Atmosphere, 9, 106, doi:10.3390/atmos9030106
  13. Alessandrini, S., Delle Monache, L., Rozoff, C., and Lewis, W., 2018. Probabilistic prediction of tropical cyclone intensity with an analog ensemble. Monthly Weather Review, 146, 1723–1744
  14. Odak Plenkovic, I., Delle Monache, L., Horvarth, K., and Hrastinski, M., 2018. Deterministic wind speed predictions with analog-based methods over complex topography. Journal of Applied meteorology and Climatology, 57, 2047–2070
  15. Kumar, R., Barth, M., Pfister, G., Delle Monache, L., Lamarque, J. F., Archer-Nicholas, S., Tilmes, S. Ghude, D., Wiedinmyer, C., Jones, B., Neill, B. O., Naja, M., and Walters, S., 2018. How will air quality change by 2050 in South Asia? Journal of Geophysical Research, 123, 1840–1864
  16. Tang, Y., Pagowski, M., Chai, T., Pan, L., Lee, P., Baker, B., Kumar, R., Delle Monache, L., Tong, D., and Kim, H.-C., 2018. A Case study of aerosol data assimilation with the Community Multi-Scale Air Quality model over the contiguous United States using 3D-Var and optimal interpolation methods. Geoscientific Model Development, 10, 4743–4758
  17. Frediani, M., Hopson, T., Hacker., J., Anagnostou, E., Delle Monache, L., and Vandenberghe, F., 2017. Object-based analog forecasts for surface wind speed. Monthly Weather Review, 145, 5083–5102
  18. Sperati, S., Alessandrini, S., and Delle Monache, L., 2017. Gridded probabilistic forecasts with an analog ensemble. Quarterly Journal of the Royal Meteorological Society, 143, 2874–2885
  19. Cervone, G., Clemente-Harding, L., Alessandrini, S., Delle Monache, L., 2017. Short-term photovoltaic power forecasts using Artificial Neural Networks and an analog ensemble. Renewable Energy, 108, 274–286
  20. Huang, J., McQueen, J., Wilczak, J., Djalalova, I., Stajner, I., Shafran, P., Allured, D., Lee, P., Pan, L., Tong, D., Huang, H.-C., DiMego, G., Upadhayay, S., and Delle Monache, L., 2017. Improving NOAA NAQFC PM5 predictions with a bias correction approach. Weather and Forecasting, 32, 407–421
  21. Keller, J., Delle Monache, L., and Alessandrini, S., 2017. Statistical downscaling of a high-resolution precipitation reanalysis using the analog ensemble method. Journal of Applied Meteorology and Climatology, 56, 2081–2095
  22. Lee, J., Hacker, J., Delle Monache, L., Kosovic, B., Clifton, A., Vandenberghe, F., and Sanz Rodrigo, J., 2017. Improving wind predictions in the marine atmospheric boundary layer through parameter estimation in a single-column model. Monthly Weather Review, 145, 5–24
  23. Jimenez, P., Alessandrini, S., Haupt, S., Deng, A., Kosovic, B., Lee, J., and Delle Monache, L., 2016. The role of unresolved clouds on short-range global horizontal irradiance predictability. Monthly Weather Review, 144, 3099–3107
  24. Davo’, F., Alessandrini, S., Sperati, S., and Delle Monache, L., Airoldi, D., and Vespucci, M., 2016. Post-processing techniques and principal component analysis for regional wind power and solar irradiance forecasting. Solar Energy, 134, 327–338
  25. Sperati, S., Alessandrini, S., and Delle Monache, L., 2016. An application of the ECMWF Ensemble Prediction System for short-term solar power forecasting Solar Energy. Conditionally accepted on Solar Energy, 133, 437–450
  26. Ferruzzi, G., Cervone, G., Delle Monache, L., Graditi, G., and Jacobone, F., 2016. Optimal bidding in a day-ahead energy market for micro grid under uncertainty in renewable energy production. Energy, 106, 194–202
  27. Che, Y., Peng, X., Delle Monache, L., Kawaguchi, T., and Xiao, F, 2016. A wind power forecasting system based on the WRF model and Kalman filtering over a wind farm in in Japan. Journal of Renewable and Sustainable Energy, 8, 013302-1–013302-17
  28. Eckel, F. A., and Delle Monache, L., 2016. A Hybrid NWP-Analog Ensemble. Monthly Weather Review, 144, 897–911
  29. Junk, C., Delle Monache, L., and Alessandrini, S., 2015. Analog-based ensemble model output statistics. Monthly Weather Review, 143, 2909–2917
  30. Zhang, J., Draxl, C., Hopson, T., Delle Monache, L., and Hodge, B.-M., 2015. Comparison of numerical weather prediction based deterministic and probabilistic wind resource assessment methods. Applied Energy, 156, 528–541
  31. Tushaus, S., Posselt, D., Miglietta, M., Rotunno, R., and Delle Monache, L., 2015. Bayesian exploration of multivariate orographic precipitation sensitivity for moist stable and neutral flows. Monthly Weather Review, 143, 4459–4475
  32. Alessandrini, S., Delle Monache, L., Sperati, S., and Cervone, G., 2015. An analog ensemble for short-term probabilistic solar power forecast. Applied Energy, 157, 95–110
  33. Junk, C., Späth, S., von Bremen, L., Delle Monache, L., 2015. Comparison and combination of regional and global ensemble prediction systems for probabilistic predictions of hub-height wind speed. Weather and Forecasting, 30, 1234–1253
  34. Djalalova, I., Delle Monache, L., and Wilczak, J., 2015. PM2.5 analog forecast and Kalman filtering post-processing for the Community Multiscale Air Quality (CMAQ) model. Atmospheric Environment, 119, 431–442
  35. Junk, C., Delle Monache, L., Alessandrini, S., von Bremen, L., and Cervone, G., 2015. Predictor-weighting strategies for probabilistic wind power forecasting with an analog ensemble. Meteorologische Zeitschrift, 24, 361-379
  36. Nagarajan, B., Delle Monache, L., Hacker, J., Rife, D., Searight, K., Knievel, J., and Nipen, T., 2015. An evaluation of analog-based post-processing methods across several variables and forecast models. Weather and Forecasting, 30, 1623–1643
  37. Alessandrini, S., Delle Monache, L., Sperati, S., and Nissen, J, 2015. A novel application of an analog ensemble for short-term wind power forecasting. Renewable Energy, 76, 768-781
  38. Vanvyve, E., Delle Monache, L., Rife, D., Monaghan, A., Pinto, J., 2015. Wind resource estimates with an analog ensemble approach. Renewable Energy, 74, 761-773
  39. Alessandrini, S., Davo’, F., Sperati, S., Benini, M., Delle Monache, L., 2014. Comparison of the economic impact of different wind power forecast systems for producers. Advance in Science and Research, 11, 49-53
  40. Archer, C., Delle Monache, L., and Rife, D., 2014. Airborne wind energy: Optimal locations and variability. Renewable Energy, 64, 180-186
  41. Pinto, J., Monaghan, A., Vanvyve, E., Delle Monache, L., and Rife, D., 2014. Regional assessment of a targeted random sampling technique for more efficient dynamical climate downscaling. Journal of Climate, 27, 1524-1538
  42. Archer, C. L., Colle, B., Delle Monache, L., Dvorak, M., Lundquist, J., Bailey, B. H., Beaucage, P., Churchfield, M. J., Fitch, A. C., Kosovic, B., Lee, S., Moriarty, P. J., Simao, H., Stevens, R. J. A. M., Veron, D., and Zack, J., 2014. Meteorology for coastal/offshore wind energy in the United States: Recommendations and research needs for the next 10 years. Bulletin of the American Meteorological Society, 95, 515-519
  43. Williams, J., Maxwell, R., Delle Monache, L., 2013. Improving wind energy forecasts using an Ensemble Kalman Filter data assimilation technique in a fully coupled hydrologic and atmospheric model. Journal of Advances in Modeling Earth Systems, 5, 1-16
  44. Delle Monache, L., Eckel, T., Rife, D., Nagarajan, B., and Searight, K., 2013. Probabilistic weather prediction with an analog ensemble. Monthly Weather Review, 141, 3498-3516
  45. Lozano-Fuentes, S., Hayden, M.-H., Welsh-Rodriguez, C., Ochoa-Martinez, C., Tapia-Santos, B., Kobylinski, K. C., Uejio, C. K., Zielinski-Gutierrez, E., Delle Monache, L., Monaghan, A. J., Steinhoff, D. F., and Eisen, 2012: Dengue virus mosquito vectors at high elevation in Mexico. J. Trop. Med. Hyg., 87, 902-909
  46. Lozano-Fuentes, S., Welsh-Rodriguez, C., Hayden, M. H., Tapia-Santos, B., Ochoa-Martinez, C., Kobylinski, K. C., Uejio, C. K., Zielinski-Gutierrez, E., Delle Monache, L., Monaghan, A. J., Steinhoff, D. F., Eisen, L., 2012. Aedes (Ochlerotatus) epactius Dyar & Knab along an elevation and climate gradient in Veracruz and Puebla States, México. Journal of Medical Entomology, 49, 1244-1253
  47. Mahoney, B., Parks, K., Wiener, G., Liu, Y., Myers, W., Sun, Juanzhen, Delle Monache, L., Hopson, T., Johnson, D., Haupt, S., 2012. A wind power forecasting system to optimize grid integration. IEEE Transactions on Sustainable Energy, 3, 670-682
  48. Hirschberg , P., Abrams, E., Bleistein, A., Bua, W., Delle Monache, , Dulong, T., Gaynor, J., Glahn, B., Hamill, T., Hansen, J., Hilderbrand, D., Hoffman, R., Morrow, B., Philips, B., Sokich, J., Stuart, N., 2011. A weather and climate enterprise strategic implementation plan for generating and communicating forecast uncertainty information. Bulletin of the American Meteorological Society, 92, 1651-1666
  49. Delle Monache, L., Nipen, T., Liu, Y., Roux, G., Stull, R., 2011. Kalman filter and analog schemes to post-process numerical weather predictions. Monthly Weather Review, 139, 3554-3570
  50. Djalalova, I., Wilczak, J., McKeen, S., Grell, G., Peckham, S., Pagowski, M., Delle Monache, L., McQueen, J., Lee, P., Tang, Y., McHenry, J., Gong, W., Bouchet, V., Marthur, R., 2010. Ensemble and bias-correction techniques for probabilistic forecast of surface O3 and PM2.5 during the TEXAQS-II experiment of 2006. Atmospheric Environment, 44, 455-467
  51. Delle Monache, L., Weil, J., Simpson, M., Leach, M., 2009. A new urban boundary layer and dispersion parameterization for the LLNL modeling system: tests with the Joint Urban 2003 data set. Atmospheric Environment, 43, 5807-5821
  52. Delle Monache, L., 2009. Reconstruction of an atmospheric source from downwind measurements: a method based on Bayesian inference and Markov Chain Monte Carlo sampling. Rivista di Meteorologia (in Italian), 1, 12-21
  53. Delle Monache, L., Lundquist, J., Kosovic, B., Johannesson, G., Dyer, K., Aines, R., Chow, F., Belles, R., Hanley, W., Larsen, S., Loosmore, G., Nitao, J., Sugiyama, G., Vogt, P., 2008. Bayesian inference and Markov Chain Monte Carlo to reconstruct a contaminant source at continental scale. Journal of Applied Meteorology and Climatology, 47, 2600-2613
  54. Pryor, S. C., Barthelmie, R. J., Schoof, J. T., Binkowski, F. S., Delle Monache, L., and Stull, R. B., 2008. Modeling the impact of sea-spry on particle concentrations in a coastal city. Science of the Total Environment, 391, 132-142
  55. Delle Monache, L., Wilczak, J., McKeen, S., Grell, G., Pagowski, M., Peckham, S., Stull, R., McHenry, J., and McQueen,,, 2008. A Kalman-filter bias correction of ozone deterministic, ensemble-averaged, and probabilistic forecasts. Tellus B, 60, 238-249
  56. Monforti, F., Vitali, L., Pagnini, G., Lorenzini, R., Delle Monache, L., and Zanini, G., 2006. Testing Kernel density reconstruction in Lagrangian photochemical modelling. Atmospheric Environment, doi:10.1016/j.atmosenv. 2006.07.046
  57. Delle Monache, L., Hacker, J. P., Zhou, Y., Deng, X., and Stull, R. B., 2006. Probabilistic aspects of meteorological and ozone regional ensemble forecasts. Journal of Geophysical Research, 111, D24307, doi:10.1029/ 2005JD006917
  58. Pagowski, M., Grell, G. A., Devenyi, D., Peckham, S. E., McKeen, S. A., Gong, W., Delle Monache, L., McHenry, J. N., McQueen, J., and Lee, P., 2006. Application of dynamic linear regression to improve the skill of ensemble-based deterministic ozone forecasts. Atmospheric Environment, doi:10.1016/j.atmosenv. 2006.02.006
  59. Delle Monache, L., Deng, X., Zhou, Y., and Stull, R. B., 2006. Ozone ensemble forecasts: 1. A new ensemble design. Journal of Geophysical Research, 111, D05307, doi:10.1029/2005JD006310
  60. Delle Monache, L., Nipen, T., Deng, X., Zhou, Y., and Stull, R. B., 2006. Ozone ensemble forecasts: 2. A Kalman filter predictor bias-correction. Journal of Geophysical Research, 111, D05308, doi:10.1029/2005JD006311
  61. Delle Monache, L., Perry, K. D., Cederwall, R. T., and Ogren, J. A., 2004. In situ aerosol profiles over the Southern Great Plains CART site. Part II: effects of mixing height on aerosol properties. Journal of Geophysical Research, 109, D06209, doi:10.1029/2003JD004024
  62. Delle Monache, L., Stull, R. B., 2003. An ensemble air-quality forecast over Western Europe during an Ozone episode. Atmospheric Environment, 37, 3469-3474
  63. Campanelli, M., Delle Monache, L., Malvestuto, V., and Olivieri, B., 2003. On the correlation between the depth of the boundary layer and the columnar aerosol size distribution. Atmospheric Environment, 37, 4483-4492