quantitative analysis

Gasbarra, D., Toscano, P., Famulari, D., Finardi, S., Di Tommasi, P., Zaldei, A., et al. (2019). Locating and quantifying multiple landfills methane emissions using aircraft data. Environmental Pollution. http://doi.org/10.1016/j.envpol.2019.112987
Gasbarra, D., Toscano, P., Famulari, D., Finardi, S., Di Tommasi, P., Zaldei, A., et al. (2019). Locating and quantifying multiple landfills methane emissions using aircraft data. Environmental Pollution. http://doi.org/10.1016/j.envpol.2019.112987
Capozzi, V., Montopoli, M., Bracci, A., Adirosi, E., Baldini, L., Vulpiani, G., & Budillon, G. (2020). Retrieval of snow precipitation rate from polarimetric X-band radar measurements in Southern Italy Apennine mountains. Atmospheric Research. http://doi.org/10.1016/j.atmosres.2019.104796
Skofronick-Jackson, G., Kulie, M., Milani, L., Munchak, S. J., Wood, N. B., & Levizzani, V. (2019). Satellite estimation of falling snow: A global precipitation measurement (GPM) core observatory perspective. Journal Of Applied Meteorology And Climatology. http://doi.org/10.1175/JAMC-D-18-0124.1
Dionisi, D., Barnaba, F., Diémoz, H., Di Liberto, L., & Gobbi, G. P. (2018). A multiwavelength numerical model in support of quantitative retrievals of aerosol properties from automated lidar ceilometers and test applications for AOT and PM10 estimation. Atmospheric Measurement Techniques. http://doi.org/10.5194/amt-11-6013-2018
Furlanetto, G., Ravazzi, C., Pini, R., Vallè, F., Brunetti, M., Comolli, R., et al. (2018). Holocene vegetation history and quantitative climate reconstructions in a high-elevation oceanic district of the Italian Alps. Evidence for a middle to late Holocene precipitation increase. Quaternary Science Reviews. http://doi.org/10.1016/j.quascirev.2018.10.001
Pisano, A., Nardelli, B., Tronconi, C., & Santoleri, R. (2016). The new Mediterranean optimally interpolated pathfinder AVHRR SST Dataset (1982-2012). Remote Sensing Of Environment. http://doi.org/10.1016/j.rse.2016.01.019
Pisano, A., Nardelli, B., Tronconi, C., & Santoleri, R. (2016). The new Mediterranean optimally interpolated pathfinder AVHRR SST Dataset (1982-2012). Remote Sensing Of Environment. http://doi.org/10.1016/j.rse.2016.01.019