Associated Projects

Data assimilation as a deep learning tool to infer ODE representations of dynamical models

Submitted by Laurent Bertino on 10 April, 2019 - 07:41

M. Bocquet, Brajard, J., Carrassi, A., and Bertino, L., “Data assimilation as a deep learning tool to infer ODE representations of dynamical models”, Nonlinear Processes in Geophysics Discussions, vol. Submitted, pp. 1 - 29, 2019.

Lagrangian transport across the upper Arctic waters in the Canada Basin

Submitted by Laurent Bertino on 10 April, 2019 - 07:38

F. Balibrea-Iniesta, Xie, J., García-Garrido, V. J., Bertino, L., Mancho, A. M., and Wiggins, S., “Lagrangian transport across the upper Arctic waters in the Canada Basin”, Quarterly Journal of the Royal Meteorological Society, vol. 145, no. 718, pp. 76 - 91, 2019.

Optimising assimilation of sea ice concentration in an Earth system model with a multicategory sea ice model

Submitted by Laurent Bertino on 10 April, 2019 - 07:33

M. Kimmritz, Counillon, F., Bitz, C. M., Massonnet, F., Bethke, I., and Gao, Y., “Optimising assimilation of sea ice concentration in an Earth system model with a multicategory sea ice model”, Tellus A: Dynamic Meteorology and Oceanography, vol. 70, no. 1, pp. 1 - 23, 2018.

OSSE for a sustainable marine observing network in the Sea of Marmara

Submitted by Laurent Bertino on 10 April, 2019 - 07:29

A. Aydoğdu, Hoar, T. J., Vukicevic, T., Anderson, J. L., Pinardi, N., Karspeck, A., Hendricks, J., Collins, N., Macchia, F., and Özsoy, E., “OSSE for a sustainable marine observing network in the Sea of Marmara”, Nonlinear Processes in Geophysics, vol. 25, no. 3, pp. 537 - 551, 2018.

Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error

Submitted by Laurent Bertino on 10 April, 2019 - 07:26

C. Grudzien, Carrassi, A., and Bocquet, M., “Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error”, Nonlinear Processes in Geophysics, vol. 25, no. 3, pp. 633 - 648, 2018.

Insights on multivariate updates of physical and biogeochemical ocean variables using an Ensemble Kalman Filter and an idealized model of upwelling

Submitted by Laurent Bertino on 10 April, 2019 - 07:25

L. Yu, Fennel, K., Bertino, L., Gharamti, M. El, and 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, vol. 126, pp. 13 - 28, 2018.

Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis

Submitted by Laurent Bertino on 10 April, 2019 - 07:24

J. Xie, Counillon, F., and Bertino, L., “Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis”, The Cryosphere, vol. 12, no. 11, pp. 3671 - 3691, 2018.

An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US

Submitted by Laurent Bertino on 10 April, 2019 - 07:23

J. Blyverket, Hamer, P., Bertino, L., Albergel, C., Fairbairn, D., and Lahoz, W., “An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US”, Remote Sensing, vol. 11, no. 5, p. 478, 2019.

Real-time simulation of surface water and groundwater with data assimilation

Submitted by Laurent Bertino on 10 April, 2019 - 07:22

X. He, Lucatero, D., Ridler, M. - E., Madsen, H., Kidmose, J., Hole, Ø., Petersen, C., Zheng, C., and Refsgaard, J. Christian, “Real-time simulation of surface water and groundwater with data assimilation”, Advances in Water Resources, vol. 127, pp. 13 - 25, 2019.

Data assimilation in integrated hydrological modeling using ensemble Kalman filtering: evaluating the effect of ensemble size and localization on filter performance

Submitted by Laurent Bertino on 20 March, 2018 - 16:37

J. Rasmussen, Madsen, H., Jensen, K. H., and Refsgaard, J. C., “Data assimilation in integrated hydrological modeling using ensemble Kalman filtering: evaluating the effect of ensemble size and localization on filter performance”, Hydrology and Earth System Sciences, vol. 19, no. 7, pp. 2999 - 3013, 2015.

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