Actions
  • shareshare
  • link
  • cite
  • add
add
Other research product . 2019

Requirements for an Integrated in situ Atlantic Ocean Observing System From Coordinated Observing System Simulation Experiments.

Gasparin, Florent; Guinehut, Stephanie; Mao, Chongyuan; Mirouze, Isabelle; Rémy, Elisabeth; King, Robert R.; Hamon, Mathieu; +5 Authors
Open Access
English
Published: 01 Jan 2019
Abstract

A coordinated effort, based on observing system simulation experiments (OSSEs), has been carried out by four European ocean forecasting centers for the first time, in order to provide insights on the present and future design of the in situ Atlantic Ocean observing system from a monitoring and forecasting perspective. This multi-system approach is based on assimilating synthetic data sets, obtained by sub-sampling in space and time using an eddy-resolving unconstrained simulation, named the Nature Run. To assess the ability of a given Atlantic Ocean observing system to constrain the ocean model state, a set of assimilating experiments were performed using four global eddy-permitting systems. For each set of experiments, different designs of the in situ observing system were assimilated, such as implementing a global drifter array equipped with a thermistor chain down to 150 m depth or extending a part of the global Argo array in the deep ocean. While results from the four systems show similarities and differences, the comparison of the experiments with the Nature Run, generally demonstrates a positive impact of the different extra observation networks on the temperature and salinity fields. The spread of the multi-system simulations, combined with the sensitivity of each system to the evaluated observing networks, allowed us to discuss the robustness of the results and their dependence on the specific analysis system. By helping define and test future observing systems from an integrated observing system view, the present work is an initial step toward better-coordinated initiatives supporting the evolution of the ocean observing system and its integration within ocean monitoring and forecasting systems. Refereed 14.A Manual (incl. handbook, guide, cookbook etc) 2019-03-14

Subjects

OSSE (Observing System Simulation Experiment), AtlantOS Project, Argo floats, Drifter, Deep observations, Global monitoring and forecasting systems, :Physical oceanography [Parameter Discipline]

57 references, page 1 of 6

Atlas, R. (1997). Atmospheric observations and experiments to assess their usefulness in data assimilation. J. Meteorol. Soc. Jpn. 75, 111-130. doi: 10.2151/ jmsj1965.75.1B_111

Atlas, R., Kalnay, E., Baker, W. E., Susskind, J., Reuter, D. C., and Halem, M. (1985). “Simulation studies of the impact of future observing systems on weather prediction,” in Proceedings of the 7th Conference on Numerical Weather Prediction, Montreal, QC, 145-151.

Ballabrera-Poy, J., Hackert, E., Murtugudde, R., and Busalacchi, A. J. (2007). An observing system simulation experiment for an optimal moored instrument array in the tropical Indian Ocean. J. Clim. 20, 3249-3268. doi: 10.1175/ JCLI4149.1

Balmaseda, M. A., Hernandez, F., Storto, A., Palmer, M. D., Alves, O., Shi, L., et al. (2015). The ocean reanalyses intercomparison project (ORA-IP). J. Operat. Oceanogr. 8(Suppl. 1), s80-s97. doi: 10.1080/1755876X.2015.1022329 [OpenAIRE]

Bell, M. J., Schiller, A., Le Traon, P. Y., Smith, N. R., Dombrowsky, E., and WilmerBecker, K. (2015). An Introduction to GODAE OceanView. Abingdon: Taylor & Francis. [OpenAIRE]

Bonaduce, A., Benkiran, M., Remy, E., Le Traon, P. Y., and Garric, G. (2018). Contribution of future wide swath altimetry missions to ocean analysis and forecasting. Ocean Sci. 14, 1405-1421. doi: 10.5194/os-2018-58 [OpenAIRE]

Brankart, J. M., Candille, G., Garnier, F., Calone, C., Melet, A., Bouttier, P. A., et al. (2015). A generic approach to explicit simulation of uncertainty in the NEMO ocean model. Geosci. Model Dev. 8, 1285-1297. doi: 10.5194/gmd-8-1285-2015 [OpenAIRE]

Brasseur, P., and Verron, J. (2006). The SEEK filter method for data assimilation in oceanography: a synthesis. Ocean Dyn. 56, 650-661. doi: 10.1007/s10236-006- 0080-3

Cabanes, C., Grouazel, A., von Schuckmann, K., Hamon, M., Turpin, V., Coatanoan, C., et al. (2013). The CORA dataset: validation and diagnostics of in-situ ocean temperature and salinity measurements. Ocean Sci. 9, 1-18. doi: 10.5194/os-9-1-2013 [OpenAIRE]

Cravatte, S., Kessler, W. S., Smith, N., Wijffels, S. E., and Contributing Authors (2016). First Report of TPOS 2020. GOOS-215, 200. Available at: http://tpos2020. org/first-report/

Funded by
EC| AtlantOS
Project
AtlantOS
Optimizing and Enhancing the Integrated Atlantic Ocean Observing System
  • Funder: European Commission (EC)
  • Project Code: 633211
  • Funding stream: H2020 | RIA
Related to Research communities
European Marine Science Marine Environmental Science : Optimizing and Enhancing the Integrated Atlantic Ocean Observing System
moresidebar