Weather forecasting

Marra, A. C., Federico, S., Montopoli, M., Avolio, E., Baldini, L., Casella, D., et al. (2019). The precipitation structure of the Mediterranean tropical-like cyclone numa: Analysis of GPM observations and numerical weather prediction model simulations. Remote Sensing. http://doi.org/10.3390/rs11141690
Di Paola, F., Ricciardelli, E., Cimini, D., Cersosimo, A., Di Paola, A., Gallucci, D., et al. (2018). MiRTaW: An algorithm for atmospheric temperature and water vapor profile estimation from ATMS measurements using a random forests technique. Remote Sensing. http://doi.org/10.3390/rs10091398
Zecchetto, S. (2018). Wind direction extraction from SAR in coastal areas. Remote Sensing. http://doi.org/10.3390/rs10020261
Sun, F., Ma, Y., Hu, Z., Li, M., Tartari, G., Salerno, F., et al. (2018). Mechanism of daytime strong winds on the northern slopes of Himalayas, near Mount Everest: Observation and simulation. Journal Of Applied Meteorology And Climatology. http://doi.org/10.1175/JAMC-D-16-0409.1
Tomasi, E., Giovannini, L., Falocchi, M., Antonacci, G., Jiménez, P. A., Kosovic, B., et al. (2019). Turbulence parameterizations for dispersion in sub-kilometer horizontally non-homogeneous flows. Atmospheric Research. http://doi.org/10.1016/j.atmosres.2019.05.018
Federico, S., Torcasio, C., Avolio, E., Caumont, O., Montopoli, M., Baldini, L., et al. (2019). The impact of lightning and radar reflectivity factor data assimilation on the very short-term rainfall forecasts of RAMS@ISAC: Application to two case studies in Italy. Natural Hazards And Earth System Sciences. http://doi.org/10.5194/nhess-19-1839-2019
Ricchi, A., Miglietta, M. M., Bonaldo, D., Cioni, G., Rizza, U., & Carniel, S. (2019). Multi-Physics ensemble versus atmosphere-ocean coupled model simulations for a tropical-like cyclone in the Mediterranean Sea. Atmosphere. http://doi.org/10.3390/ATMOS10040202
Rizza, U., Canepa, E., Ricchi, A., Bonaldo, D., Carniel, S., Morichetti, M., et al. (2018). Influence of wave state and sea spray on the roughness length: Feedback on medicanes. Atmosphere. http://doi.org/10.3390/atmos9080301
Tateo, A., Miglietta, M. M., Fedele, F., Menegotto, M., Pollice, A., & Bellotti, R. (2019). A statistical method based on the ensemble probability density function for the prediction of “Wind Days”. Atmospheric Research. http://doi.org/10.1016/j.atmosres.2018.10.001
Tateo, A., Miglietta, M. M., Fedele, F., Menegotto, M., Pollice, A., & Bellotti, R. (2019). A statistical method based on the ensemble probability density function for the prediction of “Wind Days”. Atmospheric Research. http://doi.org/10.1016/j.atmosres.2018.10.001