Uncertainty analysis

Yang, C., Storto, A., & Masina, S. (2019). Quantifying the effects of observational constraints and uncertainty in atmospheric forcing on historical ocean reanalyses. Climate Dynamics. http://doi.org/10.1007/s00382-018-4331-z
Thorne, P. W., Diamond, H. J., Goodison, B., Harrigan, S., Hausfather, Z., Ingleby, N. B., et al. (2018). Towards a global land surface climate fiducial reference measurements network. International Journal Of Climatology. http://doi.org/10.1002/joc.5458
Corazza, M., Sacchetti, D., Antonelli, M., & Drofa, O. (2018). The ARPAL operational high resolution Poor Man s Ensemble, description and validation. Atmospheric Research. http://doi.org/10.1016/j.atmosres.2017.11.031
Merico, E., Cesari, D., Dinoi, A., Gambaro, A., Barbaro, E., Guascito, M. R., et al. (2019). Inter-comparison of carbon content in PM10 and PM2.5 measured with two thermo-optical protocols on samples collected in a Mediterranean site. Environmental Science And Pollution Research. http://doi.org/10.1007/s11356-019-06117-7
Crespi, A., Brunetti, M., Lentini, G., & Maugeri, M. (2018). 1961–1990 high-resolution monthly precipitation climatologies for Italy. International Journal Of Climatology. http://doi.org/10.1002/joc.5217
Adirosi, E., Roberto, N., Montopoli, M., Gorgucci, E., & Baldini, L. (2018). Influence of disdrometer type on weather radar algorithms from measured DSD: Application to Italian climatology. Atmosphere. http://doi.org/10.3390/atmos9090360
Adirosi, E., Roberto, N., Montopoli, M., Gorgucci, E., & Baldini, L. (2018). Influence of disdrometer type on weather radar algorithms from measured DSD: Application to Italian climatology. Atmosphere. http://doi.org/10.3390/atmos9090360
Derin, Y., Anagnostou, E., Anagnostou, M. N., Kalogiros, J., Casella, D., Marra, A. C., et al. (2018). Passive microwave rainfall error analysis using high-resolution X-band dual-polarization radar observations in complex terrain. Ieee Transactions On Geoscience And Remote Sensing. http://doi.org/10.1109/TGRS.2017.2763622
Iermano, I., Moore, A. M., & Zambianchi, E. (2016). Impacts of a 4-dimensional variational data assimilation in a coastal ocean model of southern Tyrrhenian Sea. Journal Of Marine Systems. http://doi.org/10.1016/j.jmarsys.2015.09.006
Brando, V. E., Lovell, J. L., King, E. A., Boadle, D., Scott, R., & Schroeder, T. (2016). The potential of autonomous ship-borne hyperspectral radiometers for the validation of ocean color radiometry data. Remote Sensing. http://doi.org/10.3390/rs8020150