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ciências marinhas é uma marca de sucesso feiçoar ainda mais as iniciativas brasileiras DRÉVILLON, M. et. al. Learning about S.; CAUD, N.; CHEN, Y.; GOLDFARB, L.;
para o surgimento de tais especialistas na que já estão em andamento, cujos exemplos Copernicus Marine Environment Mo- GOMIS, M. I.; HUANG, M.; LEITZELL, K.;
comunidade. Esta rede de pesquisadores, descritos neste capítulo provam que a Oce- nitoring Service « CMEMS »: A Practical LONNOY, E.; MATTHEWS, J. B. R.; MAY-
com o apoio de instituições públicas como anografia Operacional, que é fundamental Introduction to the Use of the European COCK, T. K.; WATERFIELD, T.; YELEKÇI, O.;
a Marinha do Brasil e de empresas privadas para o desenvolvimento da Economia Azul Operational Oceanography Service. GO- YU, R.; ZHOU, B. (eds.). Climate Change
como a Petrobras e a Vale S.A., pode aper- no Brasil, está ativa e é promissora. DAE Oceanview International School in 2021: The Physical Science Basis. Contri-
“New Frontiers in Operational Oceanogra- bution of Working Group I to the Sixth As-
Referências phy”, E. P. Chassignet, A. Pascual, J. Tin- sessment Report of the Intergovernmental
toré, and J. Verron, Eds., 695-712, 2018. Panel on Climate Change. Cambridge Uni-
BAHUREL, P. et. al. Ocean monitoring and J. Phys. Oceanogr, 47, 1999-2021, 2017. DOI: 10.17125/gov2018.ch25. versity Press. In: Press.
forecasting core services, the European DOI: 10.1175/JPO-D-17-0031.1. EDWARDS, C. A.; MOORE, A. M.; HOTEIT, JOHANNESSEN, J. A.; LE TRAON, P.-Y.;
MyOcean example. Oceanob’s 2009. A. CHASSIGNET, E.; VERRON, J. Ocean We- I.; CORNUELLE, B. D. Regional Ocean Data ROBINSON, I.; NITTIS, K.; BELL, M. J.;
S. Fischer, 2009. ather Forecasting: an Integrated View of Assimilation. Annual Review of Marine PINARDI, N.; BAHUREL, P. Marine Envi-
BELL, M. J.; LEFEBVRE, M.; LE TRAON, P-Y.; Oceanography. Springer, 577 p. 2006. Science, 7 (1), 21-42, 2015. DOI: 10.1146/ Ronment and Security for the European
SMITH, N.; WILMER-BECKER, K. GODAE: CUMMINGS, J. A.; BERTINO, L.; BRASSEUR, annurev-marine-010814-015821. Area: Toward Operational Oceanography.
The Global Ocean Data Assimilation Experi- P.; FUKUMORI, I.; KAMACHI, M.; MARTIN, EVENSEN, G. The ensemble Kalman filter: Bul. Amer. Met. Soc., 87 (8), 1081-1090,
ment. Oceanography, 22: 14-21, 2009. M. J.; MOGENSEN K.; OKE, P.; TESTUT, theoretical formulation and practical imple- 2006. DOI:10.1175/BAMS-87-8-1081.
BELL, M. J.; SCHILLER, A.; LE TRAON, C.E.; VERRON, J.; WEAVER, A. Ocean data mentation. Ocean Dyn, 53, 2003, 343-367. LEA, D. J.; MARTIN, M. J.; OKE, P. R.
P.-Y.; SMITH, N. R.; DOMBROWSKY, E.; assimilation systems for GODAE. Oceano- EVENSEN, G. Data assimilation: The en- Demonstrating the complementarity of
WILMER-BECKER, K. An introduction to graphy, 22, 96-109, 2009. semble Kalman filter. New York: Springer, observations in an operational ocean fore-
GODAE OceanView, J. of Oper. Ocea- DALEY, R. Atmospheric Data Analysis. 2006. 307 p. casting system. Quarterly Journal of the
nography, 8:sup1, s2-s11, 2015. DOI: Cambridge University Press, 1991. 450 p. FERREIRA, M. B. The ZOPACAS and the Royal Meteorological Society, 2013.
10.1080/1755876X.2015.1022041. DAVIDSON, F.; ALVERA-AZCÁRATE, A.; Maritime Safety in the South Atlantic. DOI: 10.1002/qj.2281.
BONADUCE, A.; BENKIRAN, M.; REMY, E.; BARTH, A.; BRASSINGTON, G. B. et. al. Joint Force Quarterly, NDUPress, 2022. LE TRAON, P.-Y. et al. Preparing the New
TRAON, P. Y. L.; GARRIC, G. Contribution Synergies in Operational Oceanography: (no prelo) Phase of Argo: Scientific Achievements of
of future wide-swath altimetry missions The Intrinsic Need for Sustained Ocean FOLTZ, G. R. BRANDT et al, 2019. The the NAOS Project. Frontiers in Marine
to ocean analysis and forecasting. Ocean Observations. Front. Mar. Sci. 6:450, Tropical Atlantic Observing System. FRON- Science, 7 (838), 2020. DOI: 10.3389/
Science, 14(6), 1405-1421, 2018. 2019. DOI: 10.3389/fmars.2019.00450. TIERS IN MARINE SCIENCE, doi: 10.3389/ fmars.2020.577408.
CARVALHO, J. P. S.; COSTA, F. B.; MIG- DAVIDSON, F. J. M.; ALLEN, A.; BRASSIN- fmars.2019.00206 LIMA, J. A.; MARTINS, R. P.; TANAJURA,
NAC, D.; TANAJURA, C. A. S. Assessing GTON, G.; BREIVIK, Ø.; DANIEL, P.; KAMA- FOX-KEMPER, B. et al. Challenges and C. A. S. et al. Design and implementation
the extended-range predictability of the CHI, M.; SATO, S.; KING, B.; LEFEVRE, F.; Prospects in Ocean Circulation Models. of the Oceanographic Modeling and Ob-
Ocean Model HYCOM with the REMO SUTTON, M.; KANEKO, H. Applications of Frontiers in Marine Science, 6 (65), servation Network (REMO) for operational
Ocean Data Assimilation System (RODAS) GODAE ocean current forecasts to search 2019. DOI: 10.3389/fmars.2019.00065. oceanography and ocean forecasting. Rev.
in the South Atlantic. J. of Oper. Oce- and rescue and ship routing. Oceanogra- FUJII Y.; RÉMY, E.; ZUO, H.; OKE, P. et al. Ob- Bras. Geofis., 2013, 31, 209-228.
anography, v.13, p.1-11. 2019: DOI: phy 22: 176-181, 2009. serving System Evaluation Based on Ocean MANSFIELD, K. L. et al. First satellite tracks of
10.1080/1755876x.2019.1606880. DORFSCHÄFER, G. S.; TANAJURA, C. A. Data Assimilation and Prediction Systems: South Atlantic sea turtle ‘lost years’: seaso-
CHASSIGNET, E. P. et al. US GODAE Global S.; COSTA, F. B.; SANTANA, R. C. A new On-Going Challenges and a Future Vision nal variation in trans-equatorial movement.
ocean prediction with the Hybrid Coordi- approach for estimating salinity in the for Designing and Supporting Ocean Obser- Proc. R. Soc. B, 284, 20171730, 2017. DOI:
nate Ocean Model (HYCOM). Oceano- Southwest Atlantic and its application in vational Networks. Front. Mar. Sci. 6:417, http://dx.doi.org/10.1098/rspb.2017.1730.
graphy, vol 22, 64-75, 2009. a data assimilation evaluation experiment. 2019. DOI: 10.3389/fmars.2019.00417. MARTIN, M. J. et al. Status and future of
CHASSIGNET, E. P.; XU, X. Impact of horizon- Journal of Geophysical Research: Oce- IPCC, 2021. Summary for Policymakers. In: data assimilation in operational oceano-
tal resolution (1/12 to 1/50 ) on Gulf Stre- ans, 125, e2020JC016428, 2020. DOI: MASSON-DELMOTTE, V.; ZHAI, P.; PIRANI, graphy. Journal of Operational Ocea-
o
o
am separation, penetration, and variability. https://doi.org/ 10.1029/2020JC016428. A.; CONNORS, S. L.; PÉAN, C.; BERGER, nography, 8 (sup1), s28-s48, 2015. DOI:

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