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Publications

  1. Giani, P. and Crippa, P. (2024): On the Sensitivity of Large Eddy Simulations of the Atmospheric Boundary Layer Coupled with Realistic Large Scale Dynamics, Monthly Weather Review, 152, 1057–1075, doi:10.1175/MWR-D-23-0101.1.

  2. De Moliner, G., Giani, P., Lonati, G. and Crippa, P. (2024): Sensitivity of multiscale large Eddy simulations for wind power calculations in complex terrain. Applied Energy, 2024. 364: p. 123195.

  3. Giani, P., Katia Lamer, Crippa, P. and Michael J. Brown (2024): Formulation, Implementation and Validation of a 1D RANS Inflow Scheme for the QUIC Modeling System, Boundary Layer Meteorology, 190, 17 (2024). doi:10.1007/s10546-024-00860-2.
  4. Zhang, J., Crippa, P., Genton, M.G. and Castruccio, S. (2024). Sensitivity Analysis of Wind Energy Resources with Bayesian non-Gaussian and nonstationary Functional ANOVA, Annals of Applied Statistics, 18 (1), 23-41, doi: 10.1214/23-AOAS1770.
  5. Alifa, M., S. Castruccio, D. Bolster, M.A. Bravo, and P. Crippa, (2023). Uncertainty reduction and environmental justice in air pollution epidemiology: the importance of minority representation, GeoHealth, 7(10): p. e2023GH000854.

  6. Giani, P., Genton, M.G., Crippa, P. (2022). Modeling the convective boundary layer in the Terra Incognita: Evaluation of different strategies with real-case simulations. Monthly Weather Review, doi.org/10.1175/MWR-D-21-0216.1.

  7. Alifa, M., Castruccio, S., Diogo, B., Bravo, M., Crippa, P., (2022). Information entropy tradeoffs for efficient uncertainty reduction in estimates of air pollution mortality, Environmental Research, 212: 113587, doi.org/10.1016/j.envres.2022.113587.

  8. Zhang, J., Crippa P., Genton, M.G. and Castruccio, S. (2021): Assessing the reliability of wind power operations under a changing climate with a non-Gaussian bias correction, Annals of Applied Statistics, 15 (4) 1831 - 1849, doi:10.1214/21-AOAS1460.

  9. Shen, P., Crippa, P. and Castruccio, S. (2021). Assessing Urban Mortality from Wildfires with a Citizen Science Network, Air Quality, Atmosphere & Health, doi.org/10.1007/s11869-021-01072-0.

  10. Crippa, P., Alifa M., Bolster, D., Genton, M.G. and Castruccio, S. (2021): A temporal model for vertical extrapolation of wind speed and wind energy assessment, Applied Energy, 301, 117378, doi.org/10.1016/j.apenergy.2021.117378.

  11. Guo Y., Crippa P., Thota A. and Pryor S.C. (2021): Extreme aerosol events over eastern North America. Part 2: Responses to changing emissions, Journal of Geophysical Research-Atmospheres, 126, e2020JD033759, doi:10.1029/2020JD033759.

  12. Guo Y., Crippa P., Thota A. and Pryor S.C. (2021): Extreme aerosol events over eastern North America. Part 1: Characterizing and simulating historical events, Journal of Geophysical Research-Atmospheres, 126, e2020JD033758, doi:10.1029/2020JD033758.

  13. Sicard, P., Crippa, P., De Marco, A., Castruccio, S., Giani, P., Cuesta, J., Paoletti, E., Feng, Z. and Anav, A. (2020), High spatial resolution WRF-Chem model over Asia: Physics and chemistry evaluation, Atmospheric Environment, 118004, doi:https://doi.org/10.1016/j.atmosenv.2020.118004.

  14. Giani, P., S. Castruccio, A. Anav, D. Howard, W. Hu, and Crippa, P. (2020), Short-term and long-term health impacts of air pollution reductions from COVID-19 lockdowns in China and Europe: a modelling study, The Lancet Planetary Health, doi:10.1016/S2542-5196(20)30224-2.

  15. Bruni Zani, N., Lonati, G., Mead, M.I., Latif, M.T., and Crippa, P. (2020), Long-term satellite-based estimates of air quality and premature mortality in Equatorial Asia through Deep Neural Networks, Environmental Research Letters, https://doi.org/10.1088/1748-9326/abb733.

  16. Jin, Q., Crippa, P. and Pryor, S.C. (2020): Spatial characteristics and temporal evolution of the relationship between PM2.5 and aerosol optical depth over the eastern USA during 2003-2017, Atmospheric Environment, 117718, doi:10.1016/j.atmosenv.2020.117718.
  17. Alifa M., Bolster, D., Mead, M.I., Latif, M.T. and Crippa, P. (2020): The influence of meteorology and emissions on the spatio-temporal variability of PM10 in Malaysia, Atmospheric Research, 246, 105107, doi:10.1016/j.atmosres.2020.105107.
  18. Giani, P., Tagle, F., Genton, M.G., Castruccio, C. and Crippa, P. (2020): Closing the gap between wind energy targets and implementation for emerging countries, Applied Energy, 269, 115085, doi:10.1016/j.apenergy.2020.115085.
  19. Giani P., Anav A., De Marco A., Zhaozhong F. and Crippa, P. (2020): Exploring sources of uncertainty in premature mortality estimates from fine particulate matter: the case of China, Environmental Research Letters, doi:10.1088/1748-9326/ab7f0f.
  20. Crippa, P., Sullivan, R.C., Thota, A., Pryor, S.C. (2019): Sensitivity of simulated aerosol properties over eastern North America to WRF-Chem parameterizations, Journal of Geophysical Research - Atmospheres,124, doi: 10.1029/2018JD029900.
  21. Porcu E., Castruccio S., Alegría, A. and Crippa P. (2019). Axially Symmetric Models for Global Data: a Journey between Geostatistics and Stochastic Generators, Environmetrics,30:e2555, doi:10.1002/env.2555.
  22. Tagle, F., Castruccio, S., Crippa, P., and Genton, M.G., (2019): A Non-Gaussian Spatio-Temporal Model for Daily Wind Speeds Based on a Multivariate Skew-t Distribution, Journal of Time Series Analysis, 40: 312-326, doi: 10.1111/jtsa.12437.
  23. Yu, C., Li, Z., Penna, N., Crippa, P. (2018): Generic atmospheric correction model for Interferometric Synthetic Aperture Radar observations, Journal of Geophysical Research-Solid Earth, 123, 9202–9222, doi:10.1029/2017JB015305.
  24. Chen, W., Castruccio, S., Genton, M.G., Crippa, P. (2018): Current and Future Estimates of Wind Energy Potential over Saudi Arabia, Journal of Geophysical Research-Atmospheres, 123, doi: 10.1029/2017JD028212.
  25. Mead, M.I., Castruccio, S., Latif, M.T., Nadzir, M.S.M., Dominick, D., Thota, A., Crippa, P. (2018): Impact of the 2015 Wildfires on Malaysian Air Quality and Exposure: A Comparative Study of Observed and Modeled Data, Environmental Research Letters, 13 044023.
  26. Sullivan, R.C., Crippa, P. , Matsui, I., Leung, R.L., Zhao, C., Thota, A., and Pryor, S.C. (2018): New particle formation leads to cloud dimming, Nature Partner Journals: Climate and Atmospheric Science, 1(1), 9, doi:10.1038/s41612-018-0019-7.
  27. Jeong, J., Castruccio S., Crippa, P., and Genton, M.G (2018), Reducing storage of global wind ensembles with stochastic generators, Annals of Applied Statistics, 12, 1, 490-509.
  28. Crippa, P., Castruccio, S., Pryor, S.C. (2017), Forecasting Ultrafine Particle Concentrations from Satellite and In-Situ Observations, Journal of Geophysical Research-Atmospheres, 122, 1828-1837, doi:10.1002/2016JD026021.
  29. Crippa, P., Castruccio, S., Archer-Nicholls, S., Lebron, G.B., Kuwata, M., Thota, A., Sumin, S., Butt, E., Wiedinmyer, C., Spracklen, D.V. (2016): Population exposure to hazardous air quality due to the 2015 fires in Equatorial Asia, Nature Scientific Reports, 6, 37074, doi:10.1038/srep37074.
  30. Crippa, P., Sullivan, R.C., Thota, A., Pryor, S.C. (2016), The impact of resolution on meteorological, chemical and aerosol properties in regional simulations with WRF-Chem, Atmospheric Chemistry and Physics, 17, 1511-1528, doi:10.5194/acp-2016-453.
  31. Sullivan, R.C., Crippa, P., Hallar A.G., Clarisse, L., Whitburn, S., Van Damme, M., Leaitch, W.R., Walker, J.T., Khlystov, A., and Pryor S.C. (2016), Using satellite-based measurements to explore spatiotemporal scales and variability of drivers of new particle formation, Journal of Geophysical Research- Atmospheres, 121, doi:10.1002/2016JD025568.
  32. Crippa, P., Sullivan, R.C., Thota, A., Pryor, S.C. (2016), Evaluating the skill of high-resolution WRFChem simulations in describing drivers of aerosol direct climate forcing on the regional scale, Atmospheric Chemistry and Physics, 16, 397-416, doi:10.5194/acp-16-397-2016.
  33. Li, Z., Wright, T., Hooper, A., Crippa, P., Gonzalez, P., Walters, R., Elliott, J., Ebmeier, S., Hatton, E. and Parsons, B. (2016),Towards InSAR everywhere, all the time, with Sentinel-1, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B4, 763-766, doi:10.5194/isprs-archives-XLI-B4-763-2016.
  34. Genton, M. G., Castruccio, S., Crippa, P., Dutta, S., Huser, R., Sun, Y., Vettori, S. (2015), Visuanimation in Statistics, Stat, 4(1), 81-96.
  35. Wang, H., Barthelmie, R.J., Crippa, P., Doubrawa, P., Pryor, S.C. (2014), Profiles of Wind and Turbulence in the Coastal Atmospheric Boundary Layer of Lake Erie, Journal of Physics: Conference Series 524 012117, Lyngby.
  36. Barthelmie, R.J., Crippa, P., Wang, H., Smith, C. M., Krishnamurthy, R., Calhoun, R., Valyou, D., Marzocca, P., Matthiesen, D., Brown, G., and Pryor, S. C. (2014), 3D wind and turbulence characteristics or the atmospheric boundary-layer, Bulletin of the American Meteorological Society, 95, 743-756.
  37. Crippa, P., Spracklen, D., and Pryor, S. C. (2013), Satellite derived estimates of ultrafine particle concentrations over eastern North America, Journal of Geophysical Research-Atmospheres, 118, 9968- 9981. ;
  38. Crippa, P. and Pryor, S. C. (2013), Spatial and temporal scales of new particle formation events in eastern North America, Atmospheric Environment, 75, 257-264.
  39. Crippa, P., Petäjä, T., Korhonen, H., El Afandi, G. S., and Pryor, S. C. (2012) Evidence of an elevated source of nucleation based on model simulations and data from the NIFTy experiment, Atmospheric Chemistry and Physics, 12, 8021-8036.