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Journal of Operational Oceanogra- BEISL, C.; LOBÃO, M. M.; BIGNELLI, P. A.; J.; TANAJURA, C.A.S. Model sensitivity MIGNAC; L.N.LIMA; K. BELYAEV; X.P. XIE,.
phy, 8 (sup1), s28-s48, 2015. DOI: MOURA, N. de; GALVÃO, W. S.; POLITO, P. experiments on data assimilation, down- The REMO ocean data assimilation system
10.1080/1755876X.2015.1022055. S. The 2019 Northeast Brazil Oil Spill: Sce- scaling and tides for the representation of into HYCOM (RODAS_H): General description
MARTIN, M. J. Suitability of satellite sea narios. Anais da Academia Brasileira de the Cape São Tomé Eddies. 2020. Ocean and preliminary results. Atmospheric and
surface salinity data for use in assessing and Ciências – AABC, 2022 (no prelo). Dynamics, 70, 77–94. DOI: https://doi. Oceanic Science Letters, 7, 464-470. 2014.
correcting ocean forecasts. Remote Sensing OKE, P.R.; LARNICOL, G.; JONES, E. org/10.1007/s10236-019-01307-w. DOI: 10.3878/j.issn.1674-2834.14.0011.
of Environment, 180305-319, 2016. DOI: M.; KOURAFALOU, V.; SPERREVIK, A. SCHILLER, A.; DAVIDSON, F.; DIGIACOMO, TANAJURA C.A.S., A.N. SANTANA; F.B.
https://doi.org/10.1016/j.rse.2016.02.004. K.; CARSE, F.; TANAJURA, C. A. S.; P. M.; WILMER-BECKER, K. Better Informed COSTA; V.F.S. VIDAL; J. PEREIRA; A.T. MA-
MELLO, R. L.; FREITAS, A. C. N.; RUSSO, L.; MOURRE, B.; TONANI, M.; BRASSING- Marine Operations and Management: Mul- TIAS; GOMES, R. Assimilation of SMOS
OLIVEIRA, J. F.; TANAJURA, C. A. S.; ALVA- TON, G. B.; LE HENAFF, M.; HALLIWELL tidisciplinary Efforts in Ocean Forecasting SSS into HYCOM with the REMO Ocean
RENGA, J. B. R. Ocean forecasts in the South- JR., G. R.; ATLAS, R.; MOORE, A. M.; ED- Research for Socioeconomic Benefit. Bul. Data Assimilation System in the South
waestern Atlantic: Impact of diferent sources WARDS, C. A.; MARTIN, M. J.; SELLAR, A. Amer. Met. Soc. 2016. 97 (9), 1553- Atlantic. GODAE OceanView Sym-
of sea surface height in data assimilation. A.; ALVAREZ, A.; DE MEY, P.; ISKANDARA- 1559. DOI: 10.1175/bams-d-15-00102.1. posium OceanPredict’19, 6-10 May,
Rev. Bras. Geofis. 2013. 31, 243-255. NI, M. Assessing the impact of observa- SCHILLER, A.; MOURRE, B.; DRILLET, 2019. Halifax, Canada. 2019 Available
MIGNAC, D.; TANAJURA, C. A. S.; SAN- tions on ocean forecasts and reanalyses: Y.; BRASSINGTON, G. An Overview of at: https://www.godae.org/~godae-data/
TANA, A. N.; LIMA, L. N.; XIE, J. Argo data Part 2: Regional applications. J. of Oper. Operational Oceanography. GODAE OP19/4.3.6-Tanajura_etal_OP19_fiinal.pdf.
assimilation into HYCOM with an EnOI Oceanography. 8 (sup1): s63-s79, 2015. Oceanview International School in “New TANAJURA, C. A. S., D. MIGNAC, A. N.
method in the Atlantic Ocean. Ocean Sci- DOI: https://doi.org/10.1080/175587 Frontiers in Operational Oceanography”, de SANTANA, F. B. COSTA, L. N. LIMA, K.
ence, 11:195-213, 2015. DOI: https://doi. 6X.2015.1022080. E. P. CHASSIGNET, A. PASCUAL, J. TIN- P. BELYAEV, J. ZHU, 2020: Observing Sys-
org/10.5194/os-11-195-2015. PEARLMAN, J. et al. Evolving and Sus- TORÉ, J. VERRON, (eds.), 1-262018. DOI: tem Experiments over the Atlantic Ocean
MOLTMANN, T. et al. A Global Ocean Ob- taining Ocean Best Practices to Enable 10.17125/gov2018.ch01. with the REMO Ocean Data Assimilation
serving System (GOOS), Delivered Through Interoperability in the UN Decade of SOARES, M. O.; C. E. P. TEIXEIRA; L. E. A. System (RODAS) into HYCOM. Ocean
Enhanced Collaboration Across Regions, Ocean Science for Sustainable Develop- BEZERRA; E. F. RABELO; I. B. CASTRO; R. Dynamics, 52, 123-132. DOI: https://doi.
Communities, and New Technologies. ment. Frontiers in Marine Science, 8 M. CAVALCANTE. The most extensive oil org/10.1007/s10236-002-0013-8.
Frontiers in Marine Science, 6 (291). (458), 2021. DOI: https/doir.org/10.3389/ spill registered in tropical oceans (Brazil): TOZER, B.; D. T. SANDWELL; W. H. F.
2019: DOI: 10.3389/fmars.2019.00291. fmars.2021.619685 the balance sheet of a disaster. Environ SMITH; C. OLSON; J. R. BEALE; P. WESSEL.
MOORE, A. M. et al. Synthesis of Ocean PENNY, S. G. et al. Observational Needs for Sci Pollut Res, 29, 19869-198772022: Global Bathymetry and Topography at
Observations Using Data Assimilation for Improving Ocean and Coupled Reanalysis, DOI: 10.1007/s11356-022-18710-4. 15 Arc Sec: SRTM15+. Earth and Space
Operational, Real-Time and Reanalysis S2S Prediction, and Decadal Prediction. TRANCHANT, B.; TESTUT, C. E.; RENAULT, Science, 6 (10), 1847-1864. 2019. DOI:
Systems: A More Complete Picture of the Frontiers in Marine Science, 6 (391). L.; FERRY, N.; BIROL, F.; BRASSEUR, P. Ex- https://doi.org/10.1029/2019EA000658.
State of the Ocean. Frontiers in Marine 2019. DOI: 10.3389/fmars.2019.00391. pected impact of the future SMOS and TRANCHANT, B.; E. REMY, E. GREINER, O.
Science, 6 (90). 2019 DOI: 10.3389/ REUL, N. et al. Sea Surface Salinity Obser- Aquarius Ocean surface salinity missions in LEGALLOUDEC. Data assimilation of Soil
fmars.2019.00090. vations from Space with the SMOS Satel- the Mercator Ocean operational systems: Moisture and Ocean Salinity (SMOS) ob-
MORROW R. et al. Global Observations of lite: A New Means to Monitor the Marine New perspectives to monitor ocean circu- servations into the Mercator Ocean oper-
Fine-Scale Ocean Surface Topography with Branch of the Water Cycle. Surveys in lation. Remote Sensing of Environment, ational system: focus on the El Niño 2015
the Surface Water and Ocean Topography Geophysics, 35 (3), 681-722, 2014. DOI: 2008. 112(4), 1476-1487. event. Ocean Sci., 2019:15 (3), 543-563.
(SWOT) Mission. Front. Mar. Sci. 6:232, 10.1007/s10712-013-9244-0. TANAJURA, C. A. S.; F. COSTA, R. R. da DOI: 10.5194/os-15-543-2019.
2019. DOI: 10.3389/fmars.2019.00232. ROEMMICH, D. et al. On the Future of Argo: SILVA et al. Assimilation of sea surface VARONA, H. L.; D. VELEDA; M. SILVA;
NOBRE, P.; LEMOS, A. T.; GIAROLLA, E.; A Global, Full-Depth, Multi-Disciplinary Ar- height anomalies into HYCOM with an M. CINTRA; M. ARAÚJO. Amazon River
CAMAYO, R.; NAMIKAWA, L.; KAM- ray. Frontiers in Marine Science, 6 (439). optimal interpolation scheme over the plume influence on Western Tropical At-
PEL, M.; RUDORFF, N.; BEZERRA, D. X.; 2019: DOI: 10.3389/fmars.2019.00439. Atlantic Ocean Metarea V. Rev. Bras. lantic dynamic variability. Dynam. Atmos.
LORENZZETTI, J. A.; GOMES, J.; SILVA SANTANA, R.; COSTA, F. B.; MIGNAC, Geofis., 31, 257-270, 2013. Oceans, 2019. 851-15. DOI: 10.1016/j.
JR., M. B. da; LAGE, C. P. M.; PAES, R. L.; D.; SANTANA, A.N.; VIDAL,V. R. S.; ZHU TANAJURA C.A.S.; A.N. SANTANA; D. dynatmoce.2018.10.002.
456 BLUE ECONOMIY From Observation to Data Use 457

