A. Riccio

First name
A.
Last name
Riccio
Camastra, F., Capone, V., Ciaramella, A., Landi, T. C., Riccio, A., & Staiano, A. (2021). Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction (Vol. 12666 LNCS, pp. 26-33, ). Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103275576&doi=10.1007%2f978-3-030-68780-9_3&partnerID=40&md5=5dd5ad9e398a3e44dc944bdf4148c0e0
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Batchvarova, E., Calidonna, C., Kolarova, M., Ammoscato, I., Barantiev, D., Hristova, E., et al. (2019). Meteorology and aerosol studies at a Black Sea coastal site. In 19th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Harmo 2019. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080608168&partnerID=40&md5=636ee551763b6858ef23a824dfb6016d
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Ferrero, L., Riccio, A., Ferrini, B. S., Angelo, L. D., Rovelli, G., Casati, M., et al. (2019). Satellite AOD conversion into ground PM10, PM2.5 and PM1 over the Po valley (Milan, Italy) exploiting information on aerosol vertical profiles, chemistry, hygroscopicity and meteorology. Atmospheric Pollution Research. http://doi.org/10.1016/j.apr.2019.08.003
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Rea, G., Riccio, A., Fierli, F., Cairo, F., & Cagnazzo, C. (2018). Stratosphere-resolving CMIP5 models simulate different changes in the Southern Hemisphere. Climate Dynamics. http://doi.org/10.1007/s00382-017-3746-2
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Palacios-Penã, L., Jiménez-Guerrero, P., Baró, R., Balzarini, A., Bianconi, R., Curci, G., et al. (2019). Aerosol optical properties over Europe: An evaluation of the AQMEII Phase 3 simulations against satellite observations. Atmospheric Chemistry And Physics. http://doi.org/10.5194/acp-19-2965-2019
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Batchvarova, E., Calidonna, C., Kolarova, M., Ammoscato, I., Barantiev, D., Hristova, E., et al. (2019). Meteorology and air pollution experiment at the Black Sea coastal site Ahtopol - 2017. In AIP Conference Proceedings. http://doi.org/10.1063/1.5091259
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Chianese, E., Camastra, F., Ciaramella, A., Landi, T. C., Staiano, A., & Riccio, A. (2019). Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron. Ecological Informatics. http://doi.org/10.1016/j.ecoinf.2018.12.001
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Chianese, E., Galletti, A., Giunta, G., Landi, T. C., Marcellino, L., Montella, R., & Riccio, A. (2018). Spatiotemporally resolved ambient particulate matter concentration by fusing observational data and ensemble chemical transport model simulations. Ecological Modelling. http://doi.org/10.1016/j.ecolmodel.2018.07.019
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Serva, F., Cagnazzo, C., Riccio, A., & Manzini, E. (2018). Impact of a Stochastic Nonorographic Gravity Wave Parameterization on the Stratospheric Dynamics of a General Circulation Model. Journal Of Advances In Modeling Earth Systems. http://doi.org/10.1029/2018MS001297
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