Search Results - "Counillon, F."

TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic by Sakov, P, Counillon, F, Bertino, L, Lisæter, K. A, Oke, P. R, Korablev, A

“…We present a detailed description of TOPAZ4, the latest version of TOPAZ – a coupled ocean-sea ice data assimilation system for the North Atlantic Ocean and…”
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Optimising assimilation of sea ice concentration in an Earth system model with a multicategory sea ice model by Kimmritz, M., Counillon, F., Bitz, C.M., Massonnet, F., Bethke, I., Gao, Y.

“…A data assimilation method capable of constraining the sea ice of an Earth system model in a dynamically consistent manner has the potential to enhance the…”
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Alleviating the bias induced by the linear analysis update with an isopycnal ocean model by Wang, Y., Counillon, F., Bertino, L.

“…This work is based on the Norwegian Climate Prediction Model (NorCPM), which applies the ensemble Kalman filter (EnKF) to a fully coupled Earth System Model…”
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Impact of Ocean and Sea Ice Initialisation On Seasonal Prediction Skill in the Arctic by Kimmritz, M., Counillon, F., Smedsrud, L. H., Bethke, I., Keenlyside, N., Ogawa, F., Wang, Y.

“…There is a growing demand for skillful prediction systems in the Arctic. Using the Norwegian Climate Prediction Model that combines the fully coupled Norwegian…”
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Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter by Massonnet, F., Goosse, H., Fichefet, T., Counillon, F.

“…The choice of parameter values is crucial in the course of sea ice model development, since parameters largely affect the modeled mean sea ice state. Manual…”
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Synoptic-scale analysis of mechanisms driving surface chlorophyll dynamics in the North Atlantic by Ferreira, A. S. A, Hátún, H, Counillon, F, Payne, M. R, Visser, A. W

“…Several hypotheses have been proposed for the onset of the spring phytoplankton bloom in the North Atlantic. Our main objective is to examine which bottom-up…”
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An eddy resolving tidal-driven model of the South China Sea assimilating along-track SLA data using the EnOI by Xie, J., Counillon, F., Zhu, J., Bertino, L.

“…The upper ocean circulation in the South China Sea (SCS) is driven by the Asian monsoon, the Kuroshio intrusion through the Luzon Strait, strong tidal…”
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Impact of Snow Initialization in Subseasonal‐to‐Seasonal Winter Forecasts With the Norwegian Climate Prediction Model by Li, F., Orsolini, Y. J., Keenlyside, N., Shen, M.‐L., Counillon, F., Wang, Y. G.

“…Snow initialization has been previously investigated as a potential source of predictability at the subseasonal‐to‐seasonal (S2S) timescale in winter and…”
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Modeling dynamics and thermodynamics of icebergs in the Barents Sea from 1987 to 2005 by Keghouche, I., Counillon, F., Bertino, L.

“…A modeling study of iceberg drift characteristics in the Barents and Kara seas for the period 1987–2005 is presented. Maps of iceberg density and potential…”
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Regional Coupled Model and Data Assimilation by Zhang, S., Xie, Y., Counillon, F., Ma, X., Yu, P., Jing, Z.

“…On the one hand, regional coupled model and data assimilation is an important means to understand the details of local mesoscale and submesoscale air-sea…”
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Annual and seasonal fCO2 and air–sea CO2 fluxes in the Barents Sea by Lauvset, S.K., Chierici, M., Counillon, F., Omar, A., Nondal, G., Johannessen, T., Olsen, A.

“…The Barents Sea is the strongest CO2 sink in the Arctic region, yet estimates of the air–sea CO2 flux in this area show a large span reflecting uncertainty as…”
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Toward Improved Estimation of the Dynamic Topography and Ocean Circulation in the High Latitude and Arctic Ocean: The Importance of GOCE by Johannessen, J. A., Raj, R. P., Nilsen, J. E. Ø., Pripp, T., Knudsen, P., Counillon, F., Stammer, D., Bertino, L., Andersen, O. B., Serra, N., Koldunov, N.

“…The Arctic plays a fundamental role in the climate system and shows significant sensitivity to anthropogenic climate forcing and the ongoing climate change…”
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Application of a hybrid EnKF-OI to ocean forecasting by Counillon, F., Sakov, P., Bertino, L.

“…Data assimilation methods often use an ensemble to represent the background error covariance. Two approaches are commonly used; a simple one with a static…”
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Interannual variations and trend of the production of inorganic carbon by coccolithophores in the arctic in 2002–2010 based on satellite data by Petrenko, D. A., Zabolotsikh, E. V., Pozdnyakov, D. V., Counillon, F., Karlin, L. N.

“…Based on MODIS data, a significant decline in the intensity and spatial extension of blooms of coccolithophore E. huxleyi in Arctic waters in 2002–2010 is…”
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A comparison of sequential assimilation schemes for ocean prediction with the HYbrid Coordinate Ocean Model (HYCOM): Twin experiments with static forecast error covariances by Srinivasan, A., Chassignet, E.P., Bertino, L., Brankart, J.M., Brasseur, P., Chin, T.M., Counillon, F., Cummings, J.A., Mariano, A.J., Smedstad, O.M., Thacker, W.C.

“…► Four covariance matrix approximations for data assimilation with HYCOM are compared. ► Assimilation into HYCOM is most effectively done in the native…”
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North Atlantic climate far more predictable than models imply by Smith, D. M., Scaife, A. A., Eade, R., Athanasiadis, P., Bellucci, A., Bethke, I., Bilbao, R., Borchert, L. F., Caron, L.-P., Counillon, F., Danabasoglu, G., Delworth, T., Doblas-Reyes, F. J., Dunstone, N. J., Estella-Perez, V., Flavoni, S., Hermanson, L., Keenlyside, N., Kharin, V., Kimoto, M., Merryfield, W. J., Mignot, J., Mochizuki, T., Modali, K., Monerie, P.-A., Müller, W. A., Nicolí, D., Ortega, P., Pankatz, K., Pohlmann, H., Robson, J., Ruggieri, P., Sospedra-Alfonso, R., Swingedouw, D., Wang, Y., Wild, S., Yeager, S., Yang, X., Zhang, L.

“…Quantifying signals and uncertainties in climate models is essential for the detection, attribution, prediction and projection of climate change 1 – 3 …”
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Impact of assimilating altimeter data on eddy characteristics in the South China Sea by Xie, J., De Vos, M., Bertino, L., Zhu, J., Counillon, F.

“…From satellite altimetry, it is known the benefit of assimilating sea level anomalies (SLA) has been shown in the context of operational ocean forecast…”
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Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis by Xie, Jiping, Counillon, Francois, Bertino, Laurent

“…Accurately forecasting the sea-ice thickness (SIT) in the Arctic is a major challenge. The new SIT product (referred to as CS2SMOS) merges measurements from…”
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NorCPM1 and its contribution to CMIP6 DCPP by Bethke, Ingo, Wang, Yiguo, Counillon, François, Keenlyside, Noel, Kimmritz, Madlen, Fransner, Filippa, Samuelsen, Annette, Langehaug, Helene, Svendsen, Lea, Chiu, Ping-Gin, Passos, Leilane, Bentsen, Mats, Guo, Chuncheng, Gupta, Alok, Tjiputra, Jerry, Kirkevåg, Alf, Olivié, Dirk, Seland, Ãyvind, Solsvik Vågane, Julie, Fan, Yuanchao, Eldevik, Tor

“…The Norwegian Climate Prediction Model version 1 (NorCPM1) is a new research tool for performing climate reanalyses and seasonal-to-decadal climate…”
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Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system by Xie, Jiping, Counillon, François, Bertino, Laurent, Tian-Kunze, Xiangshan, Kaleschke, Lars

“…An observation product for thin sea ice thickness (SMOS-Ice) is derived from the brightness temperature data of the European Space Agency's (ESA) Soil Moisture…”
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