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Fingerprint Dive into the research topics where Hernan Arango is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 7 Similar Profiles
data assimilation Earth & Environmental Sciences
ocean Earth & Environmental Sciences
modeling Earth & Environmental Sciences
sea surface temperature Earth & Environmental Sciences
oceans Physics & Astronomy
prediction Earth & Environmental Sciences
sea surface height Earth & Environmental Sciences
forecasting Physics & Astronomy

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Research Output 1991 2019

  • 3920 Citations
  • 25 h-Index
  • 45 Article
  • 1 Chapter
  • 1 Comment/debate
  • 1 Short survey
5 Citations (Scopus)

Synthesis of ocean observations using data assimilation for operational, real-time and reanalysis systems: A more complete picture of the state of the ocean

on behalf of GODAE OceanView Data Assimilation Task Team, Jan 1 2019, In : Frontiers in Marine Science. 6, MAR, 90.

Rutgers, The State University

Research output: Contribution to journalShort survey

Open Access
data assimilation
oceans
synthesis
ocean
prediction
shelves
remote sensing
Remote sensing
oceans
sea surface height

Reduced-Rank Array Modes of the California Current Observing System

Moore, A. M., Arango, H. & Edwards, C. A., Jan 1 2018, In : Journal of Geophysical Research: Oceans. 123, 1, p. 452-465 14 p.

Rutgers, The State University

Research output: Contribution to journalArticle

oceans
Orthogonal functions
Coastal zones
coasts
orthogonal functions
6 Citations (Scopus)

A 4D-variational ocean data assimilation application for Santos Basin, Brazil

da Rocha Fragoso, M., de Carvalho, G. V., Soares, F. L. M., Faller, D. G., de Freitas Assad, L. P., Toste, R., Sancho, L. M. B., Passos, E. N., Böck, C. S., Reis, B., Landau, L., Arango, H. & Moore, A. M., Mar 1 2016, In : Ocean Dynamics. 66, 3, p. 419-434 16 p.

Rutgers, The State University

Research output: Contribution to journalArticle

data assimilation
ocean
basin
POES
ocean basin
1 Citation (Scopus)

Estimates of ocean forecast error covariance derived from Hessian Singular Vectors

Smith, K. D., Moore, A. M. & Arango, H., May 1 2015, In : Ocean Modelling. 89, p. 104-121 18 p.

Rutgers, The State University

Research output: Contribution to journalArticle

Orthogonal functions
ocean
Singular value decomposition
Covariance matrix
decomposition