Bio-optical and radiative transfer modeling


- D. D'Alimonte and T. Kajiyama, “Monte Carlo Simulations for Investigating Uncertainty Budgets of  Above-Water Radiometric Measurements,” Opt. Express, 2015, in preparation.

- D. D'Alimonte, T. Kajiyama and A. Saptawijaya, “Ocean Color Remote Sensing of Atypical Marine Optical Cases,” IEEE Trans. Geosc. Rem. Sens., 2015, under revision.

T. Kajiyama, D. D’Alimonte, and J. C. Cunha, “A high-performance computing framework for Monte Carlo ocean color simulations,” Concurrency and Computation: Practice and Experience, 2015, under revision.


B. Bulgarelli and D. D’Alimonte, Optical Radiometry for Oceans Climate Measurements, ser. Experimental Methods in Physical Sciences. Elsevier, 2014, ch. 4.1 Simulation of in situ visible radiometric measurements, p. 43, ISBN-10:0124170110.

- T. Kajiyama, D. D Alimonte, and G. Zibordi, “Match-up analysis of MERIS radiometric data in the Northern Adriatic Sea,” IEEE Geosci. Remote Sens. Lett., vol. 11, no. 1, pp. 19–23, 2014. Available: http://­­10.1109/­LGRS.2013.2244844

D. D Alimonte, G. Zibordi, T. Kajiyama, and J.-F. Berthon, “Comparison between MERIS and regional high-level products in European seas,” Remote Sens. Environ., vol. 140, pp. 378-395, 2014, Available:


- D. D Alimonte, E. B. Shybanov, G. Zibordi, and T. Kajiyama, “Regression of in-water radiometric profile data,” Opt. Express, vol. 21, no. 23, pp. 27, 2013, Available:

T. Kajiyama, D. D Alimonte, and G. Zibordi, “Match-up analysis of MERIS radiometric data in the Northern Adriatic Sea,” IEEE Geosci. Remote Sens. Lett., 2013, Available:

T. Kajiyama, D. D Alimonte, and G. Zibordi, “Regional algorithms for European seas: a case study based on MERIS data,” IEEE Geosci. Remote Sens. Lett., vol. 10, no. 2, pp. 283–287, March 2013, available:


- D. D Alimonte, G. Zibordi, J.-F. Berthon, E. Canuti, and T. Kajiyama, “Performance and applicability of bio-optical algorithms in different European seas,” Remote Sens. Environ., vol. 124, no. 0, pp. 402–412, 2012, Available:

- T. Kajiyama, D. D Alimonte, and J. C. Cunha, “Statistical performance tuning of parallel Monte Carlo ocean color simulations,” in Parallel and Distributed Computing, Applications and Technologies 2012, Beijing, China, December 2012,  Available: 


- D. D Alimonte, G. Zibordi, J.-F. Berthon, E. Canuti, and T. Kajiyama, “Bio-optical algorithms for european seas: Performance and applicability of neural-net inversion schemes,” JRC-IES Scientific and Technical Reports, Tech. Rep. JRC66326, 2011. Available: http://­­repository/­handle/­111111111/­22406 

- T. Kajiyama, D. D Alimonte, and J. C. Cunha, “Performance prediction of ocean color monte carlo simulations using multi-layer perceptron neural networks,” vol. 4, 2011, pp. 2186–2195, proceedings of the International Conference on Computational Science, ICCS 2011.Available:

- F. Mélin, V. Vantrepotte, M. Clerici, D. D Alimonte, G. Zibordi, J. F. Berthon, and E. Canuti, “Multi-sensor satellite time series of optical properties and chlorophyll-a concentration in the adriatic sea,” Progress in Oceanography, vol. 91, no. 3, pp. 229–244, NOV 2011. Available:

- G. Zibordi, J.-F. Berthon, F. Mélin, and D. D Alimonte, “Cross-site consistent in situ measurements for satellite ocean color applications: the biomap radiometric dataset,” Remote Sens. Environ., vol. 115, no. 8, pp. 2104–2115, AUG 15 2011. Available:


- D. D Alimonte, G. Zibordi, T. Kajiyama, and J. C. Cunha, “Monte carlo code for high spatial resolution ocean color simulations,” Appl. Opt., vol. 49, no. 26, pp. 4936–4950, 2010. Available:

- T. Kajiyama, D. D Alimonte, J. Cunha, and G. Zibordi, “High-performance ocean color monte carlo simulation in the geo-info project,” in Parallel Processing and Applied Mathematics, ser. Lecture Notes in Computer Science, R. Wyrzykowski, J. Dongarra, K. Karczewski, and J. Wasniewski, Eds., vol. 6068. Springer Berlin / Heidelberg, 2010, pp. 370–379. Available: http://­­10.1007/­978-3-642-14403-5_39

- G. Zibordi, B. Holben, F. Mélin, D. D Alimonte, J.-F. Berthon, I. Slutsker, and D. Giles, “AERONET-OC: An Overview,” Can. J. Remote. Sens., vol. 36, no. 5, pp. 488–497, 2010. Available:


- D. D Alimonte, “Detection of Mesoscale Eddy-related Structures Through Iso-SST Patterns,” IEEE Geosc. Rem. Sens. Lett., vol. 6, no. 2, pp. 189–193, 2009. Available:

- G. Zibordi, J.-F. Berthon, and D. D Alimonte, “An Evaluation of Radiometric Products from Fixed-Depth and Continuous In-Water Profile Data from Moderately Complex Waters,” J. Atmos. Oceanic Technol., vol. 26, pp. 91–106, 2009. Available: http://­­10.1175/­2008JTECHO619.1

- G. Zibordi, J.-F. Berthon, F. Mélin, D. D Alimonte, and S. Kaitala, “Validation of Satellite Ocean Color Primary Products at Optically Complex Coastal Sites: Northern Adriatic Sea, Northern Baltic Proper and Gulf of Finland,” Remote Sens. Environ., vol. 113, no. 12, pp. 2574–2591, 2009. Available: http://­­10.1016/­j.rse.2009.07.013

- G. Zibordi, B. Holben, I. Slutsker, D. Giles, D. D Alimonte, F. Mélin, J.-F. Berthon, D. Vandemark, H. Feng, G. Schuster, B. E. Fabbri, S. Kaitala, and J. Seppälä, “AERONET-OC: A Network for the Validation of Ocean Color Primary Radiometric Products,” J. Atmos. Oceanic Technol., vol. 26, no. 8, pp. 1634–1651, 2009. Available: http://­­10.1175/­2009JTECHO654.1


- D. D Alimonte and D. Cornford, “Outlier Detection with Partial Information: Application to Emergency Mapping,” Stoch. Env. Res. Risk. A., vol. 22, no. 5, pp. 613–620, 2008. Available:

- D. D Alimonte, G. Zibordi, and F. Mélin, “Statistical Method for Generating Cross-Mission Consistent Normalized Water-Leaving Radiances,” IEEE Trans. Geosc. Rem. Sens., vol. 46, no. 12, pp. 4075–4093, December 2008. Available: http://­­10.1109/­TGRS.2008.2001819



Tamito Kajiyama

Tamito Kajiyama joined the Geo-Info project of the Center of Informatics and Information Technology, New University of Lisbon, in April 2008. His current research interest focuses on the design and implementation of a high-performance computing (HPC) solutions for Monte Carlo ocean color simulation.


Centre for Marine and Environmental Research (CIMA)

By nature, CIMA a multi­disciplinary unit that explores the connections between environments, processes and human populations using scientific methods coupled with state­of­the­art modelling techniques. Apart from research, CIMA places a strong emphasis on training and education, as well as providing consultation services, digital applications and scientific information to the scientific and public domains. CIMA activity is focused on 3 general aims: 1. scientific research; 2. training at Masters and PhD level and 3.

Faculty of Science and Technology (FCT)

Faculdade de Ciências e Tecnologia (Faculty of Science and Technology; FCT) is one of the nine academic units of Universidade Nova de Lisboa (UNL). The FCT/UNL campus is located in Monte de Caparica and covers approximately 30 ha, with additional capacity expansion to 60 ha.  Founded in 1977, FCT/UNL is one of the most prestigious Portuguese public schools of science and engineering today, with a total enrolment of ca. 7500 students, of which nearly 1400 are postgraduate students (MSc and PhD).