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Eksporter 55 resultater:

Filtre: Forfatter er Counillon, Francois [Slett Alle Filtre]

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Y

Yang, S., Gao, Y., Koenigk, T., Keenlyside, N. & Counillon, F. The Climate Model: An ARCPATH Tool to Understand and Predict Climate Change. Nordic Perspectives on the Responsible Development of the Arctic: Pathways to Action (2020).doi:10.1007/978-3-030-52324-4_8

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Xie, J., Counillon, F., Bertino, L., Tian-Kunze, X. & Kaleschke, L. Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system. The Cryosphere 10, (2016).

Xie, J., Zhu, J., Bertino, L. & Counillon, F. 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

Xie, J., Counillon, F., Zhu, J. & Bertino, L. 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).

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).

Xie, J., Counillon, F. & 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., Bertino, L., Lisæter, K.A., Counillon, F. & Sakov, P. Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991-2013. Ocean Science 13, (2017).

W

Wang, Y., mfl. Seasonal predictions initialised by assimilating sea surface temperature observations with the EnKF. Climate Dynamics 19, (2019).

Wang, Y., mfl. Optimising assimilation of hydrographic profiles into isopycnal ocean models with ensemble data assimilation. Ocean Modelling 114, (2017).

Wang, Y., Counillon, F. & Bertino, L. Alleviating the bias induced by the linear analysis update with an isopycnal ocean model. Quarterly Journal of the Royal Meteorological Society 142, (2016). Abstract

S

Storto, A., mfl. Ocean Reanalyses: Recent Advances and Unsolved Challenges. Frontiers in Marine Science 6, (2019).

Srinivasan, A., mfl. 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

Smith, D.M., mfl. North Atlantic climate far more predictable than models imply. Nature 583, (2020).

Silva, E., mfl. Twenty-One Years of Phytoplankton Bloom Phenology in the Barents, Norwegian, and North Seas. Frontiers in Marine Science 8, (2021).

Shah, A., Bertino, L., Counillon, F., Gharamti, M.E. & Xie, J. Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment. Tellus. Series A, Dynamic meteorology and oceanography 72, (2019). Abstract

Sakov, P., mfl. TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic. Ocean Science 8, (2012). Abstract

R

Renkl, C., Counillon, F. & Bertino, L. Validation of the 20-year TOPAZ4 Reanalysis. NERSC Technical Report (2014).

P

Petrenko, D., Pozdnyakov, D., Counillon, F. & Sychov, V. Spaceborne investigation of the long-term variability of primary productivity in the Arctic Basin. The international conference ”Climate Changes in Polar and Subpolar Regions" (2011).

Penny, S.G., mfl. Observational needs for improving ocean and coupled reanalysis, S2S Prediction, and decadal prediction. Frontiers in Marine Science 6:391, (2019).

Penny, S.G., mfl. Coupled Data Assimilation for Integrated Earth System Analysis and Prediction: Goals, Challenges and Recommendations. (2017).

N

Ness, B., Counillon, F. & Dumont, D. Sensitivity of the Arctic and North Atlantic Oceans to the Bering Strait inflow: A modeling study. NERSC Technical report no. 317 (2010).

M

Melsom, A., Counillon, F., Lacasce, J.H. & Bertino, L. Forecasting search areas using ensemble ocean circulation modeling. Ocean Dynamics 62, (2012). Abstract

L

Lien, V.S., mfl. An assessment of the added value from data assimilation on modelled Nordic Seas hydrography and ocean transports. Ocean Modelling 99, (2016).

Li, F., mfl. Impact of snow initialization in subseasonal-to-seasonal winter forecasts with the Norwegian Climate Prediction Model. Journal of Geophysical Research (JGR): Atmospheres 124, (2019). Abstract

Langehaug, H.R., mfl. Propagation of Thermohaline Anomalies and Their Predictive Potential along the Atlantic Water Pathway. Journal of Climate 35, (2021).

Nansen Environmental and Remote Sensing Center	Nansen-Bangladesh International Centre for Coastal, Ocean and Climate Studies	Nansen International Environmental and Remote Sensing Center
Nansen Environmental Research Center – India	Nansen–Zhu International Research Centre	Nansen-Tutu Centre for Marine Environmental Research