"Merging ocean biogeochemistry models and observations is the way forward to understand better our ecosystems and deliver model data products that are most useful to our stakeholders."
Stefano leads the “Marine Biogeochemical Data Assimilation” team of Plymouth Marine Laboratory (PML) and UK National Centre for Earth Observations (NCEO). He has 20 years of experience in developing and using marine ecosystem models to investigate: the ocean biogeochemical cycles, the predictability of marine ecosystem indicators and the functioning of marine food webs.
He is an advanced developer and user of several ensemble data assimilation methods, applied with shelf-sea and global ecosystem models. He applies assimilation of ocean colour (including optical data and phytoplankton functional types) and in situ data (including continuous, real-time biogeochemical data) for both model state and parameter estimation. He has tracked expertise in: sensitivity/uncertainty analysis of environmental models, time series analysis, spatial analysis of water quality monitoring data and pollutant bioaccumulation modelling.
International projects. Stefano is the coordinator of the European H2020 SEAMLESS project, which aims at advancing the current capability of operational system to predict ocean ecosystem indicators. He is co-investigator of the CMEMS NOWMAPS project and provides expertise on biogeochemical data assimilation to the CMEMS Ocean Colour - Thematic Assembly Centre.
In the past, Stefano was principal investigator of the CMEMS Service Evolution TOSCA and OPTIMA projects. He was co-investigator in the projects: H2020 TAPAS (Tools for Assessment and Planning of Aquaculture Sustainability); FP7 OPEC (Operational Ecology) and FP7 MEDINA (Marine Ecosystem Dynamics and Indicators for North Africa),
National projects. Stefano is the principal investigator of the UK NERC CAMPUS project. In the “Global and Regional Carbon Cycle” programme of the UK National Centre for Earth Observations, he is developing a data assimilation system for global biogeochemical models (NEMO-MEDUSA and NEMO-ERSEM) to better simulate global carbon fluxes and their feed-backs on climate.
- Ciavatta, S., Torres, R., Saux‐Picart, S. and Allen, J.I., 2011. Can ocean color assimilation improve biogeochemical hindcasts in shelf seas? Journal of Geophysical Research: Oceans, 116(C12).
- Ciavatta, S., Kay, S., Saux‐Picart, S., Butenschön, M. and Allen, J.I., 2016. Decadal reanalysis of biogeochemical indicators and fluxes in the North West European shelf‐sea ecosystem. Journal of Geophysical Research: Oceans, 121(3), pp.1824-1845.
- Ciavatta, S., Torres, R., Martinez-Vicente, V., Smyth, T., Dall’Olmo, G., Polimene, L. and Allen, J.I., 2014. Assimilation of remotely-sensed optical properties to improve marine biogeochemistry modelling. Progress in Oceanography, 127, pp.74-95.
- Ciavatta, S., Lovato, T., Ratto, M. and Pastres, R., 2009. Global uncertainty and sensitivity analysis of a food‐web bioaccumulation model. Environmental Toxicology and Chemistry: An International Journal, 28(4), pp.718-732.
- Butenschön, M., Clark, J., Aldridge, J.N., Allen, J.I., Artioli, Y., Blackford, J., Bruggeman, J., Cazenave, P., Ciavatta, S., Kay, S. and Lessin, G., 2016. ERSEM 15.06: a generic model for marine biogeochemistry and the ecosystem dynamics of the lower trophic levels. Geoscientific Model Development, 9(4), pp.1293-1339.
- Ciavatta, S., Kay, S., Brewin, R.J., Cox, R., Di Cicco, A., Nencioli, F., Polimene, L., Sammartino, M., Santoleri, R., Skakala, J. and Tsapakis, M., 2019. Ecoregions in the Mediterranean Sea through the reanalysis of phytoplankton functional types and carbon fluxes. Journal of Geophysical Research: Oceans, 124(10), pp.6737-6759.
- Shu, C; Xiu, P; Xing, X; Qiu, G; Ma, W; Brewin, RJW; Ciavatta, S; 2022. Biogeochemical Model Optimization by Using Satellite-Derived Phytoplankton Functional Type Data and BGC-Argo Observations in the Northern South China Sea. Remote Sensing.
- Skákala, J; Bruggeman, J; Ford, D; Wakelin, S; Akpınar, A; Hull, T; Kaiser, J; Loveday, BR; O’Dea, E; Williams, CAJ; Ciavatta, S; 2022. The impact of ocean biogeochemistry on physics and its consequences for modelling shelf seas. Ocean Modelling.
- Baatz, R; Hendricks Franssen, HJ; Euskirchen, E; Sihi, D; Dietze, M; Ciavatta, S; Fennel, K; Beck, H; De Lannoy, G; Pauwels, VRN; Raiho, A; Montzka, C; Williams, M; Mishra, U; Poppe, C; Zacharias, S; Lausch, A; Samaniego, L; Van Looy, K; Bogena, H; Adamescu, M; Mirtl, M; Fox, A; Goergen, K; Naz, BS; Zeng, Y; Vereecken, H; 2021. Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis. Reviews of Geophysics.
- Brewin, RJW; Sathyendranath, S; Platt, T; Bouman, H; Ciavatta, S; Dall'Olmo, G; Dingle, J; Groom, SB; Jonsson, B; Kostadinov, TS; Kulk, G; Laine, M; Martinez-Vicente, V; Psarra, S; Raitsos, DE; Richardson, K; Rio, MH; Rousseaux, CS; Salisbury, J; Shutler, JD; Walker, P; 2021. Sensing the ocean biological carbon pump from space: A review of capabilities, concepts, research gaps and future developments. Earth-Science Reviews.
- Skákala, J; Ford, D; Bruggeman, J; Hull, T; Kaiser, J; King, RR; Loveday, BR; Palmer, MR; Smyth, TJ; Williams, CAJ; Ciavatta, S; 2021. Towards a multi‐platform assimilative system for North Sea biogeochemistry. Journal of Geophysical Research: Oceans.