@article{fdi:010060622,
  title = {{O}ceanic data assimilation study in northern {C}hile : use of a 3{DVAR} method},
  author = {{S}epulveda, {H}. {H}. and {M}archesiello, {P}atrick and {L}i, {Z}. {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{W}e report the use of a 3-dimensional variational (3{DVAR}) data assimilation method as part of a numerical model off northern {C}hile. {T}he numerical model is part of an ocean forecasting project that aims to understand the impact of environmental variability on the distribution of biological species in the area. {W}e assimilated data from a simulated ocean observing system to recover a known state, obtaining a significantly smaller error when compared to a numerical run with no assimilation. {O}ur results validate the computational implementation of the code, and allow us to evaluate the impact of the choice of data in the assimilation process: the assimilation of sea surface height being particularly important. {W}e note that the assimilation of surface data propagates properly to greater depths and reduces the error with reference to the known state. {T}his was possible by using covariance error matrices calculated previously for the {C}alifornia coastal area. {T}he implementation of the data assimilation module is relatively simple and permits its use in operational forecasting systems, and for the design and evaluation of future ocean observational systems.},
  keywords = {ocean forecast ; observational system simulation ; data assimilation ; northern {C}hile ; {CHILI}},
  booktitle = {},
  journal = {{L}atin {A}merican {J}ournal of {A}quatic {R}esearch},
  volume = {41},
  numero = {3},
  pages = {570--575},
  ISSN = {0718-560{X}},
  year = {2013},
  DOI = {10.3856/vol41-issue3-fulltext-18},
  URL = {https://www.documentation.ird.fr/hor/fdi:010060622},
}