Biblio

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Counillon, F.S. & Bertino, L. High-resolution ensemble forecasting for the Gulf of Mexico eddies and fronts. Ocean Dynamics 59, 83-95 (2009). Abstract  Download: ODYN-D-08-00015-2.pdf (4.53 MB); fulltext-21.pdf (5.4 MB)
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Keghouche, I., Bertino, L. & Sandven, S. Iceberg modeling in the Barents Sea. Part I. Initial tests. (2007).
Xie, J., Counillon, F.S. & Bertino, L. Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis. The Cryosphere 12, (2018). Abstract
Xie, J., de Vos, M., Bertino, L., Zhu, J. & Counillon, F. Impact of assimilating altimeter data on eddy characteristics in the South China Sea. Ocean Modelling 155, (2020).
Chatterjee, S., et al. The impact of atmospheric and oceanic circulations on the Greenland Sea iceconcentration. The Cryosphere Discussions (2020).doi:10.5194/tc-2020-127
Samuelsen, A., Bertino, L. & Hansen, C. Impact of data assimilation of physical variables on the spring bloom from TOPAZ operational runs in the North Atlantic. Ocean Science 5, 13 (2009). Abstract
Leeuwenburgh, O., Evensen, G. & Bertino, L. The impact of ensemble filter definition on the assimilation of temperature profiles in the tropical Pacific. Quarterly Journal of the Royal Meteorological Society 131, 3291-3300 (2005). Abstract
Rabatel, M., Rampal, P., Carrassi, A., Bertino, L. & Jones, C.K.R.T. Impact of rheology on probabilistic forecasts of sea ice trajectories: Application for search and rescue operations in the Arctic. The Cryosphere 12, (2018).
Sandven, S., Drange, H., Lisæter, K.A., Bertino, L. & Shalina, L. Impact on changing ice and met-ocean conditions on offshore design and operation in Arctic regions. (2007).
Counillon, F.S., Bentsen, M. & Bertino, L. Implementing the EnKF into NorESM. NERSC Technical report no. 316 (2010). Download: NorEsm.pdf (4 MB)
Raanes, P. Improvements to Ensemble Methods for Data Assimilation in the Geosciences. 182 (2016).at <https://ora.ox.ac.uk/objects/uuid:9f9961f0-6906-4147-a8a9-ca9f2d0e4a12>
Gabarró, C., et al. Improving satellite-based monitoring of the polar regions: Identification of research and capacity gaps. Frontiers in Remote Sensing 4, (2023).
Wan, L., Zhu, J., Bertino, L. & Wang, H. Initial ensemble generation and validation for ocean data assimilation using HYCOM in the Pacific. Ocean Dynamics 81-99 (2008).
Yu, L.Q., Fennel, K., Bertino, L., Gharamti, M.E. & Thompson, K.R. Insights on multivariate updates of physical and biogeochemical ocean variables using an Ensemble Kalman Filter and an idealized model of upwelling. Ocean Modelling 126, (2018). Abstract
Sakov, P., Oliver, D. & Bertino, L. An Iterative EnKF for Strongly Nonlinear Systems. Monthly Weather Review 140, (2012). Abstract
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Simon, E. & Bertino, L. Joint state-parameter estimation in a 3-D coupled physical-ecosystem model of the North Atlantic: assimilation of SeaWiFS data with a non-Gaussian extension of an ESRF. ESA Living Planet Symposium (2010).at <http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html> Abstract  Download: 5_7_1_3simon.pdf (412.76 KB)
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Keghouche, I., Lisæter, K.A. & Bertino, L. KARBIAC JIP Phase 2, Hindcast of the Barents Sea, Progress report 1: Model Implementation. (2007).
Bertino, L., Keghouche, I. & Lisæter, K.A. KARIBIAC JIP Phase 2 Hindcast of the Barents Sea, April 1987 - May 1988. NERSC Technical report no. 283 (2007).
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Balibrea-Iniesta, F., et al. Lagrangian transport across the upper Arctic waters in the Canadian Basin. Quarterly Journal of the Royal Meteorological Society 145, (2018).
Gray, M., et al. Local ensemble transform Kalman filter, a fast non-stationary control law for adaptive optics on ELTs: theoretical aspects and first simulation results. Optics Express 22, (2014). Download: 
Samuelsen, A. & Bertino, L. Lofoten and Vesterålen currents (LOVECUR) mid-term report. NERSC Technical report no. 314 (2010). Download: Lovecur_report_midterm.pdf (7.5 MB)
Samuelsen, A. & Bertino, L. LOVECUR. NERSC Technical report no. 312 (2010). Download: rep312.doc (3.84 MB)
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Ardhuin, F., et al. Measuring currents, ice drift, and waves from space: the Sea Surface KInematics Multiscale monitoring (SKIM) concept. Ocean Science 14, (2018).
Nakanowatari, T., et al. Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system. The Cryosphere 12, (2018).
Bertino, L., Lisæter, K.A. & Keghouche, I. MERSEA TOP2 assessment report Arctic thematic portal. NERSC Technical Report No. 300 (2009). Download: rep300.doc (6.62 MB)
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