sea surface temperature

Mavilia, I., Bellucci, A., Athanasiadis, P. J., Gualdi, S., Msadek, R., & Ruprich-Robert, Y. (2018). On the spectral characteristics of the Atlantic multidecadal variability in an ensemble of multi-century simulations. Climate Dynamics. http://doi.org/10.1007/s00382-018-4093-7
Zappa, G., Ceppi, P., & Shepherd, T. G. (2020). Time-evolving sea-surface warming patterns modulate the climate change response of subtropical precipitation over land. Proceedings Of The National Academy Of Sciences Of The United States Of America. http://doi.org/10.1073/pnas.1911015117
Blondeau-Patissier, D., Brando, E., Lønborg, C., Leahy, S. M., & Dekker, A. G. (2018). Phenology of trichodesmium spp. Blooms in the great barrier reef lagoon, Australia, from the ESA-MERIS 10-year mission. Plos One. http://doi.org/10.1371/journal.pone.0208010
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
Ndomeni, W., Cattani, E., Merino, A., & Levizzani, V. (2018). An observational study of the variability of East African rainfall with respect to sea surface temperature and soil moisture. Quarterly Journal Of The Royal Meteorological Society. http://doi.org/10.1002/qj.3255
Manzo, C., Braga, F., Zaggia, L., Brando, V. E., Giardino, C., Bresciani, M., & Bassani, C. (2018). Spatio-temporal analysis of prodelta dynamics by means of new satellite generation: the case of Po river by Landsat-8 data. International Journal Of Applied Earth Observation And Geoinformation. http://doi.org/10.1016/j.jag.2017.11.012
Rio, M. -H., & Santoleri, R. (2018). Improved global surface currents from the merging of altimetry and Sea Surface Temperature data. Remote Sensing Of Environment. http://doi.org/10.1016/j.rse.2018.06.003
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
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
Prodhomme, C., Batté, L., Massonnet, F., Davini, P., Bellprat, O., Guemas, V., & Doblas-Reyes, F. J. (2016). Benefits of increasing the model resolution for the seasonal forecast quality in EC-earth. Journal Of Climate. http://doi.org/10.1175/JCLI-D-16-0117.1