Biblio
Filters: Author is Laurent Bertino [Clear All Filters]
Dynamical web-based visualization of ocean model data. Master Thesis No. 80 (2009).
Assimilation of sea surface salinities from SMOS in an Arctic coupled ocean and sea ice reanalysis. Ocean Science (2023).doi:10.5194/os-19-269-2023
Impact of assimilating altimeter data on eddy characteristics in the South China Sea. Ocean Modelling 155, (2020).
Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991-2013. Ocean Science 13, (2017).
An OSSE evaluation of the GNSS-R altimetry data for the GEROS-ISS mission as a complement to the existing observational networks. Remote Sensing of Environment 209, (2018).
Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis. The Cryosphere 12, (2018). Abstract
Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system. The Cryosphere 10, (2016).
An eddy resolving tidal-driven model of the South China Sea assimilating along-track SLA data using the EnOI. Ocean Science 7, 609 - 627 (2011).
Analysis of the northern South China Sea counter-wind current in winter using a data assimilation model. Ocean Dynamics (2015).doi:10.1007/s10236-015-0817-y
Towards a North Sea prediction system. Doctoral Thesis No. 54 (2005).
Wave–ice interactions in the marginal ice zone. Part 1: Theoretical foundations. Ocean Modelling 71, 81 - 91 (2013).
GEROS-ISS: GNSS REflectometry, Radio Occultation, and Scatterometry Onboard the International Space Station. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9, (2016).
Alleviating the bias induced by the linear analysis update with an isopycnal ocean model. Quarterly Journal of the Royal Meteorological Society 142, (2016). Abstract
Assimilating altimetry data into a HYCOM model of the Pacific: Ensemble Optimal Interpolation versus Ensemble Kalman Filter. Journal of Atmospheric and Oceanic Technology 27, 753-765 (2010). Abstract
Download: wan10.pdf (3.84 MB)
Initial ensemble generation and validation for ocean data assimilation using HYCOM in the Pacific. Ocean Dynamics 81-99 (2008).
A "Dressed" Ensemble Kalman Filter Using the Hybrid Coordinate Ocean Model in the Pacific. Advances in Atmospheric Sciences 26, 1042-1052 (2009). Abstract
Download: fulltext-26.pdf (974.65 KB)
Status and future of global and regional ocean prediction systems. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology 8, (2015).
A comparison of sequential assimilation schemes for ocean prediction with the HYbrid Coordinate Ocean Model (HYCOM): Twin experiments with static forecast error covariances. Ocean Modelling 37, (2011). Abstract
Download: sdarticle-4.pdf (3.72 MB)
Polar Ocean Observations: A critical gap in the observing system and its effect on environmental predictions from hours to a season. Frontiers in Marine Science (2019).doi:10.3389/fmars.2019.00429
