Services based on Ecosystem data AssiMiLation: Essential Science and Solutions

Risultati finali

Roadmap for the transfer of the SEAMLESS Prototype to CMEMS MFCs for the operational production of the target indicators

Guidelines on space-in situ data assimilation and data requirements
Report on the prototype BGC models and their 1D simulations in CMEMS MFC sites
Guidelines on strongly coupled assimilation
Guidelines on weakly coupled assimilation
Observability of the target indicators in the 3D CMEMS MFC systems (twin experiments)

Observability of the target indicators in the 3D CMEMS MFC systems twin experiments

Summary and overall achievement of Dissemination, Exploitation and Communication activities
Observability of the target indicators and parameter sensitivity in the 1D CMEMS sites
Plan for Exploitation, Dissemination and Communication of results

Plan for Exploitation Dissemination and Communication of results

Target indicator quality in CMEMS MFCs - report with guidelines

Public release and full documentation of the SEAMLESS prototype
Code for ensemble evaluation in prototype
Code for stochastic parameterizations to generate ensembles in 1D or 3D MFC configurations
Prototype core system
"SEAMLESS prototype ""ready-to-transfer"" to CMEMS MFCs"

SEAMLESS prototype “ready-to-transfer” to CMEMS MFCs

Project Website

Final Data Management
Initial Data Management Plan

Pubblicazioni

Ensemble analysis and forecast of ecosystem indicators in the North Atlantic using ocean colour observations and prior statistics from a stochastic NEMO–PISCES simulator

Autori: Popov M, Brankart J-M, Capet A, Cosme E, and Brasseur P
Pubblicato in: Ocean Science, Numero 20 (1), 2024, ISSN 1812-0784
Editore: Copernicus Gesellschaften
DOI: 10.5194/os-20-155-2024

Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis

Autori: R. Baatz, H. J. Hendricks Franssen, E. Euskirchen, D. Sihi, M. Dietze, S. Ciavatta, K. Fennel, H. Beck, G. De Lannoy, V. R. N. Pauwels, A. Raiho, C. Montzka, M. Williams, U. Mishra, C. Poppe, S. Zacharias, A. Lausch, L. Samaniego, K. Van Looy, H. Bogena, M. Adamescu, M. Mirtl, A. Fox, K. Goergen, B. S. Naz, Y. Zeng, H. Vereecken
Pubblicato in: Reviews of Geophysics, 2021, ISSN 1944-9208
Editore: Wiley online library
DOI: 10.1029/2020rg000715

Biogeochemical Model Optimization by Using Satellite-Derived Phytoplankton Functional Type Data and BGC-Argo Observations in the Northern South China Sea

Autori: Chan Shu, Peng Xiu, Xiaogang Xing, Guoqiang Qiu, Wentao Ma, Robert J. W. Brewin andStefano Ciavatta
Pubblicato in: Remote Sensing, 2022, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14051297

Chromophoric dissolved organic matter dynamics revealed through the optimization of an optical-biogeochemical model in the NW Mediterranean Sea

Autori: Álvarez, Eva; Cossarini, Gianpiero; Teruzzi, Anna; Bruggeman, Jorn; Bolding, Karsten; Ciavatta, Stefano; Vellucci, Vincenzo; D’Ortenzio, Fabrizio; Antoine, David; Lazzari, Paolo
Pubblicato in: Biogeosciences, Numero 15, 2023, ISSN 1726-4189
Editore: Göttingen: Copernicus Publ.
DOI: 10.5194/bg-2023-48

GHOSH v1.0.0: a novel Gauss-Hermite High-Order Sampling Hybrid filter for computationally efficient data assimilation in geosciences

Autori: Spada S, Teruzzi A, Maset S, Salon S, Solidoro C, and Cossarini G
Pubblicato in: Geoscientific Model Development, 2023, ISSN 1991-9603
Editore: Online
DOI: 10.5194/gmd-2023-170

Partitioning climate uncertainty in ecological projections: Pacific oysters in a hotter Europe

Autori: Robert J. Wilson, Susan Kay, Stefano Ciavatta
Pubblicato in: Ecological Informatics, 2024, ISSN 1574-9541
Editore: Elsevier BV
DOI: 10.1016/j.ecoinf.2024.102537

How uncertain and observable are marine ecosystem indicators in shelf seas?

Autori: Skákala J, Ford D, Fowler A, Lea D, Martin M, Ciavatta S
Pubblicato in: Progress in Oceanography, Numero 224, 2024, ISSN 0079-6611
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.pocean.2024.103249

A solution for autonomous, adaptive monitoring of coastal ocean ecosystems: Integrating ocean robots and operational forecasts

Autori: Ford, David A.; Grossberg, Shenan; Rinaldi, Gianmario; Menon, Prathyush P.; Palmer, Matthew R.; Skákala, Jozef; Smyth, Tim; Williams, Charlotte A. J.; Lorenzo Lopez, Alvaro; Ciavatta, Stefano
Pubblicato in: Frontiers, Numero 1, 2022, ISSN 1664-3224
Editore: Frontiers Media SA
DOI: 10.3389/fmars.2022.1067174

Towards a Multi-Platform Assimilative System for North Sea Biogeochemistry

Autori: Jozef Skákala, David Ford, Jorn Bruggeman, Tom Hull, Jan Kaiser, Robert R. King, Benjamin Loveday, Matthew R. Palmer, Tim Smyth, Charlotte A. J. Williams, Stefano Ciavatta
Pubblicato in: JGR Oceans, 2021, ISSN 2169-9291
Editore: Wiley online
DOI: 10.1029/2020jc016649

The impact of ocean biogeochemistry on physics and its consequences for modelling shelf seas

Autori: Jozef Skákala; Jorn Bruggeman; David Ford; Sarah Wakelin; Anıl Akpınar; Tom Hull; Jan Kaiser; Benjamin R. Loveday; Enda O’Dea; Charlotte A.J. Williams; Stefano Ciavatta
Pubblicato in: Ocean Modelling, Numero 1, 2022, ISSN 1463-5003
Editore: Elsevier BV
DOI: 10.1016/j.ocemod.2022.101976

Marine ecosystem models of realistic complexity rarely exhibits significant endogenous non-stationary dynamics

Autori: Occhipinti G, Solidoro C, Grimaudo R, Valenti D, Lazzari P
Pubblicato in: Chaos, Solitons & Fractals, Numero 175 (1), 2023, ISSN 0960-0779
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.chaos.2023.113961

SEAMLESS Roadmap towards a transfer to CMEMS (D7.3)

Autori: Bertino L., Teruzzi, A., Nerger L., Brasseur P., Wakamatsu T., Skakala J., Heard J., and Ciavatta S
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/zenodo.10471589

Ecosystem connections in the shelf sea environment using complex networks

Autori: Ieuan Higgs; Jozef Skákala; Ross Bannister; Alberto Carrassi; Stefano Ciavatta
Pubblicato in: egusphere-2023-475, Numero 2, 2023
Editore: egusphere
DOI: 10.5194/egusphere-2023-475

SEAMLESS Public release and full documentation of the SEAMLESS prototype. D2.4

Autori: Bruggeman, J., Bolding, K., Nerger, L., Teruzzi, A., Spada, S., Wakamatsu, T., Çağlar Yumruktepe, V., Skákala, J., & Ciavatta, S
Pubblicato in: SEAMLESS, 2024
Editore: Zenodo
DOI: 10.5281/zenodo.10581313

Observability of the target indicators in the 3D CMEMS MFC systems

Autori: Brasseur, P, Brankart, J.M., Popov, M, Skakala, J, Teruzzi, A, Spada, S, Cossarini, G, Wakamatsu, T, Bertino, L, Sun, Y, Nerger, L
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/zenodo.7584865

EAT v0.9.6: a 1D testbed for physical-biogeochemical data assimilation in natural waters

Autori: Jorn Bruggeman; Karsten Bolding; Lars Nerger; Anna Teruzzi; Simone Spada; Jozef Skákala; Stefano Ciavatta
Pubblicato in: eISSN: 1991-9603, Numero 1, 2023
Editore: European Geosciences Union
DOI: 10.5194/gmd-2023-238

Recommendations for weakly coupled physical- biogeochemical data assimilation. Deliverable report 4.1

Autori: Nerger, Lars, Brasseur, Pierre, Popov, Michail, Skakala, Jozef, Teruzzi, Anna, Cossarini, Gianpiero
Pubblicato in: Zenodo, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8167672

D3.2 Observability of the target indicators and parameter sensitivity in the 1D CMEMS sites. Deliverable report of project H2020 SEAMLESS (grant 101004032)

Autori: Stefano Ciavatta; Paolo Lazzari; Eva Álvarez; Jorn Bruggeman; Arthur Capet; Gianpiero Cossarini; Farshid Daryabor; Lars Nerger; Jozef Skakala; Anna Teruzzi; Tsuyoshi Wakamatsu; Çağlar Yumruktepe
Pubblicato in: 2022
Editore: Zenodo
DOI: 10.5281/zenodo.6580236

SEAMLESS Final Data Management Plan

Autori: Skakala J, Brasseur P, Bertino L, Cossarini G and L Nerger
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/zenodo.10405912

Guidelines on space-in situ data assimilation (D5.1). Deliverable report of project H2020 SEAMLESS

Autori: Cossarini, Gianpiero; Skakala, Jozef; Wakamatsu, Tsuyoshi; Terruzzi, Ana; Spada, Simone; Yumruktepe, Caglar
Pubblicato in: Numero 1, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.7684591

"SEAMLESS prototype ""ready-to-transfer"" to CMEMS MFCs"

Autori: Nerger, Lars, Bolding, Karsten, Bruggeman, Jorn
Pubblicato in: Zenodo, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.7781264

SEAMLESS Target indicator quality in CMEMS MFCs (D6.1)

Autori: Skakala, J., Wakamatsu, T., Bertino, L., Teruzzi, A., Lazzari, P., Alvarez, E., Cossarini, G., Spada, S., Nerger, L., Vliegen, S., Brankart, & Brasseur, P
Pubblicato in: SEAMLESS, 2024
Editore: Zenodo
DOI: 10.5281/zenodo.10522305

D4.2 Recommendations for strongly coupled physical-biogeochemical data assimilation

Autori: Bertino, L, Brasseur, P, Popov, M, Skakala, J, Wakamatsu, T, Yumruktepe, C
Pubblicato in: 2022
Editore: Zenodo
DOI: 10.5281/zenodo.7432230

D3.1 Code for ensemble evaluation in prototype V2

Autori: Brasseur P, Brankart J.M, Popov M
Pubblicato in: 2021
Editore: Zenodo
DOI: 10.5281/zenodo.6390306

Code for stochastic parameterizations to generate ensembles in 1D or 3D MFC configurations (D3.3)

Autori: Brasseur P; Bertino L; Brankart J.M; Popov M; Ciavatta S
Pubblicato in: 2022
Editore: Zenodo
DOI: 10.5281/zenodo.6352585

SEAMLESS: Report on the prototype BGC models and their 1D simulations in CMEMS MFC sites (D2.2)

Autori: Lazzari P; Cossarini G; Bruggeman J; Álvarez E; Teruzzi A; Daryabor F; Nerger L; Capet A; Brasseur P; Skakala J; Ciavatta S; Wakamatsu T; Yumruktepe C; L, Bertino
Pubblicato in: Numero 1, 2022
Editore: Zenodo
DOI: 10.5281/zenodo.6401394

Implementing Operational Ocean Monitoring and Forecasting Systems; IOC-UNESCO, GOOS-275, 2022. Chapter: Biogeochemical Modelling

Autori: Bertino, L., Brasseur, P., Ciavatta, S., Cossarini, G., Fennel, K., Ford, D., Grégoire, M., Lavoie, D., and Lehodey, P
Pubblicato in: ETOOFS EXPERT TEAM ON OPERATIONAL OCEAN FORECASTING SYSTEMS, Numero GOOS-275, 2022
Editore: IOC-UNESCO
DOI: 10.48670/etoofs

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