Publications 2019

2024 / 2023 / 2022 / 2021 / 2020 / 2019

(Also see outreach for talks, posters, or browse by project )

• Paper by: Mannseth, T.

  Assimilation of multiple linearly dependent data vectors

  Computational Geosciences

• Paper by: Evensen, G. , Raanes, P.N. , Stordal, A.S. , Hove, J.

  Efficient Implementation of an Iterative Ensemble Smoother for Data Assimilation and Reservoir History Matching

  Frontiers in Applied Mathematics and Statistics

• Paper by: Chang, Y., Lorentzen, R.J. , Nævdal, G. , Feng, T.

  OLYMPUS optimization under geological uncertainty

  Computational Geosciences

• Paper by: Xie, J. , Raj, R.P., Bertino, L. , Samuelsen, A., Wakamatsu, T.

  Evaluation of Arctic Ocean surface salinities from the Soil Moisture and Ocean Salinity (SMOS) mission against a regional reanalysis and in situ data

  Ocean Science

• Paper by: Raanes, P.N. , Bocquet, M., Carrassi, A.

  Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures

  Quarterly Journal of the Royal Meteorological Society

• Paper by: Gasda, S.E., Aavatsmark, I., Bohloli, B., Hellevang, H., Nordbotten, J.M., Wangen, M., Bjørnarå, T.I., Boon, W., Fazeli, H., Mannseth, T. , Nooraiepour, M., Park, J., Skurtveit, E., Tveit, S., Van Noort, R., Varela, J., Viken, I., Thibeau, S.

  Protection of Caprock Integrity for Large-Scale CO2 Storage on the Norwegian Continental Shelf

  International Journal of Greenhouse Gas Control

• Paper by: Chen, F., Gao, Y., Wang, Y. , Li, X.

  A downscaling-merging method for high-resolution daily precipitation estimation

  Journal of Hydrology

• Paper by: Jackson, L.C., Dubois, C., Forget, G., Haines, K., Harrison, M., Iovino, D., Köhl, A., Mignac, D., Masina, S., Peterson, K.A., Piecuch, C.G., Roberts, C., Robson, J., Storto, A., Toyoda, T., Valdivieso, M., Wilson, C., Wang, Y. , Zuo, H.

  The mean state and variability of the North Atlantic circulation: A perspective from ocean reanalyses

  Journal of Geophysical Research (JGR): Oceans

• Conf-paper by: Ohm, K.S., Weibull, W.W., Luo, X.

  Uncertainty quantification in non-linear seismic inversion: A comparison of three different methods

  SEG Technical Program Expanded Abstracts 2019

• Conf-paper by: Ayed, I., de B'ezenac, E., Pajot, A., Brajard, J. , Gallinari, P.

  Learning the hidden dynamics of ocean temperature with neural networks

  Proceedings of the 9th International Workshop on Climate informatics: CI 2019

• Conf-paper by: Galmiche, N., Brajard, J. , Charantonis, A., Wakamatsu, T.

  Impact of sparse profile sampling on the reconstruction of subsurface ocean temperature from surface information

  Proceedings of the 9th International Workshop on Climate informatics: CI 2019

• Conf-paper by: Brajard, J. , Bocquet, M., Carrassi, A., Bertino, L.

  Connections between data assimilation and machine learning to emulate a numerical model

  Proceedings of the 9th International Workshop on Climate informatics: CI 2019

• Paper by: Luo, X.

  Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators

  PLOS ONE

• Paper by: Luo, X. , Bhakta, T.

  Automatic and adaptive localization for ensemble-based history matching

  Journal of Petroleum Science and Engineering

• Paper by: Alyaev, S. , Suter, E.C., Bratvold, R.B., Hong, A., Luo, X. , Fossum, K.

  A decision support system for multi-target geosteering

  Journal of Petroleum Science and Engineering

• Conf-paper by: Cayeux, E., Daireaux, B., Saadallah, N., Alyaev, S.

  Toward Seamless Interoperability between Real-Time Drilling Management and Control Applications

  Society of Petroleum Engineers

• Paper by: Sommer, M., Jakobsen, M., Alyaev, S.

  Inversion of electromagnetic data while drilling using a distorted Born iterative method for anisotropic conductive media

  SEG technical program expanded abstracts

• Paper by: Ambrus, A., Saadallah, N., Alyaev, S. , Iversen, F.

  Automatic detection of anomalous drilling operations using machine learning methods and drilling process simulations

  Oil, Gas

• Paper by: Hodneland, E., Hanson, E.A., Sævareid, O., Nævdal, G. , Lundervold, A., Solteszova, V., Zanna, A., Deistung, A., Reichenbach, J., Nordbotten, J.M.

  A new framework for assessing subject-specific whole brain circulation and perfusion using MRI-based measurements and a multi-scale continuous flow model

  PLoS Computational Biology

• Paper by: Huang, X., Jakobsen, M., Nævdal, G. , Eikrem, K.S.

  Target-oriented inversion of time-lapse seismic waveform data

  Communications in Computational Physics

• PhD-thesis by: Aalstad, K., Westermann, S., Bertino, L.

  Ensemble-based retrospective analysis of the seasonal snowpack

  University of Oslo

• PhD-thesis by: Shah, A., Bertino, L. , Skaug, H.J.

  Stochastic data assimilation of observations with a detection limit

  Universitetet i Bergen

• Review-paper by: Le Traon, P., Reppucci, A., Fanjul, E.A., Aouf, L., Behrens, A., Belmonte, M., Bentamy, A., Bertino, L. , Brando, V.E., Kreiner, M.B., Benkiran, M., Carval, T., Ciliberti, S.A., Claustre, H., Clementi, E., Coppini, G., Cossarini, G., de Alfonso Alonso-Muñoyerro, M., Delamarche, A., Dibarboure, G., Dinessen, F., Drevillon, M., Drillet, Y., Faugere, Y., Fernández, V., Fleming, A., Garcia-Hermosa, M.I., Sotillo, M.G., Garric, G., Gasparin, F., Giordan, C., Gehlen, M., Gregoire, M.L., Guinehut, S., Hamon, M., Harris, C., Hernandez, F., Hinkler, J.B., Hoyer, J., Karvonen, J., Kay, S., King, R., Lavergne, T., Lemieux-Dudon, B., Lima, L., Mao, C., Martin, M.J., Masina, S., Melet, A., Nardelli, B.B., Nolan, G., Pascual, A., Pistoia, J., Palazov, A., Piollé, J., Pujol, M.I., Pequignet, A.C., Peneva, E., Gómez, B.P., de la Villeon, L.P., Pinardi, N., Pisano, A., Pouliquen, S., Reid, R., Remy, E., Santoleri, R., Siddorn, J., She, J., Staneva, J., Stoffelen, A., Tonani, M., Vandenbulcke, L., von Schuckmann, K., Volpe, G., Wettre, C.D., Zacharioudaki, A.

  From observation to information and users: The Copernicus Marine Service Perspective

  Frontiers in Marine Science

• Review-paper by: Fujii, Y., Rémy, E., Hao, Z., Oke, P., Halliwell, G., Gasparin, F., Benkiran, M., Loose, N., Cummings, J., Xie, J. , Xue, Y., Masuda, S., Smith, G.C., Balmaseda, M., Germineaud, C., Lea, D.J., Larnicol, G., Bertino, L. , Bonaduce, A., Brasseur, P., Donion, C., Heimbach, P., Kim, Y., Kourafalou, V., Le Traon, P., Martin, M., Paturi, S., Tranchant, B., Usui, N.

  Observing system evaluation based on ocean data assimilation and prediction systems: On-going challenges and future vision for designing/supporting ocean observational networks

  Frontiers in Marine Science

• Paper by: Hanson, E.A., Hodneland, E., Lorentzen, R.J. , Nævdal, G. , Nordbotten, J.M., Sævareid, O., Zanna, A.

  Mathematics and Medicine: How mathematics, modelling and simulations can lead to better diagnosis and treatments

  Lecture Notes in Computational Science and Engineering

• Conf-paper by: Fossum, K. , Lorentzen, R.J.

  Assisted History Matching of 4Dseismic Data - A Comparative Study

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Luo, X. , Lorentzen, R.J. , Bhakta, T.

  Ensemble-based Kernel Learning to Handle Rock-physics-model Imperfection in Seismic History Matching: A Real Field Case Study

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Kimmritz, M., Counillon, F. , Smedsrud, L.H., Bethke, I., Keenlyside, N., Ogawa, F., Wang, Y.

  Impact of ocean and sea ice initialisation on seasonal prediction skill in the Arctic

  Journal of Advances in Modeling Earth Systems

• Paper by: Li, F., Orsolini, Y., Keenlyside, N., Shen, M., Counillon, F. , Wang, Y.

  Impact of snow initialization in subseasonal-to-seasonal winter forecasts with the Norwegian Climate Prediction Model

  Journal of Geophysical Research (JGR): Atmospheres

• Paper by: Wang, Y. , Counillon, F. , Keenlyside, N., Svendsen, L., Gleixner, S., Kimmritz, M., Dai, P., Gao, Y.

  Seasonal predictions initialised by assimilating sea surface temperature observations with the EnKF

  Climate Dynamics

• Paper by: Penny, S.G., Akella, S., Balmaseda, M.A., Browne, P., Carton, J.A., Chevallier, M., Counillon, F. , Domingues, C., Frolov, S., Heimbach, P., Hogan, P., Hoteit, I., Iovino, D., Laloyaux, P., Martin, M.J., Masina, S., Moore, A.M., de Rosnay, P., Schepers, D., Sloyan, B.M., Storto, A., Subramanian, A., Nam, S., Vitart, F., Yang, C., Fujii, Y., Zuo, H., O'Kane, T., Sandery, P., Moore, T., Chapman, C.C.

  Observational needs for improving ocean and coupled reanalysis, S2S Prediction, and decadal prediction

  Frontiers in Marine Science

• Paper by: Storto, A., Alvera-Azcarate, A., Balmaseda, M.A., Barth, A., Chevallier, M., Counillon, F. , Dominiques, C.M., Drevillon, M., Drillet, Y., Forget, G., Garric, G., Haines, K., Hernandez, F., Lovino, D., Jackson, L.C., Lellouche, J., Masina, S., Mayer, M., Oke, P.R., Penny, S.G., Peterson, K.A., Yang, C., Zuo, H.

  Ocean Reanalyses: Recent Advances and Unsolved Challenges

  Frontiers in Marine Science

• Paper by: Raanes, P.N. , Stordal, A.S. , Evensen, G.

  Revising the stochastic iterative ensemble smoother

  Nonlinear processes in geophysics

• Paper by: Evensen, G.

  Accounting for model errors in iterative ensemble smoothers

  Computational Geosciences

• Paper by: Blyverket, J., Hamer, P.D., Bertino, L. , Albergel, C., Fairbairn, D., Lahoz, W.A.

  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

• Paper by: Moore, A.M., Martin, M.J., Santha, A., Arango, H.G., Balmaseda, M., Bertino, L. , Ciavatta, S., Cornuelle, B., Cummings, J., Frolov, S., Lermusiaux, P., Oddo, P., Oke, P.R., Storto, A., Teruzzi, A., Vidard, A., Weaver, A.T.

  Synthesis of ocean observations using data assimilation for operational, real-time and reanalysis systems: a more complete picture of the state of the ocean

  Frontiers in Marine Science

• Paper by: 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

• Paper by: Bocquet, M., Brajard, J. , Carrassi, A., Bertino, L.

  Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models

  Nonlinear processes in geophysics

• Paper by: Lorentzen, R.J. , Luo, X. , Bhakta, T. , Valestrand, R.

  History Matching the Full Norne Field Model Using Seismic and Production Data

  SPE Journal

• Paper by: Lorentzen, R.J. , Bhakta, T. , Grana, D., Luo, X. , Valestrand, R. , Nævdal, G.

  Simultaneous assimilation of production and seismic data: application to the Norne field

  Computational Geosciences

Total: 40