Biblio

Export 2946 results:
Under review
(Under review).
Variability of Summer Monsoon Rainfall in India on Inter-Annual and Decadal Time Scales. (Under review).
In Press
Tjernström, M., et al. The Arctic Summer Cloud-Ocean Study (ASCOS): Overview and experimental design. Atmospheric Chemistry and Physics/ Ocean Science (In Press). Abstract
2019
Shah, A. Stochastic data assimilation of observations with a detection limit. 97 (2019).
Evensen, G. Accounting for model errors in iterative ensemble smoothers. Computational Geosciences 23, (2019).
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 145, (2019).
Saros, J.E., et al. Arctic climate shifts drive rapid ecosystem responses across the West Greenland landscape. Environmental Research Letters 14, (2019).
Soldal, I.H., Dierking, W.F.O., Korosov, A. & Marino, A. Automatic Detection of Small Icebergs in Fast Ice Using Satellite Wide-Swath SAR Images. Remote Sensing 11, (2019).
Chernokulsky, A. & Ezau, I. Cloud cover and cloud types in the Eurasian Arctic in 1936–2012. International Journal of Climatology (2019).doi:10.1002/joc.6187 Abstract
Danserau, V., Démery, V., Berthier, E., Weiss, J. & Ponson, L. Collective Damage Growth Controls Fault Orientation in Quasibrittle Compressive Failure. Physical Review Letters 122, (2019).
Ali, A., et al. A comparison of Langmuir turbulence parameterizations and key wave effects in a numerical model of the North Atlantic and Arctic Oceans. Ocean Modelling 137, (2019).
Xu, D., Zhuang, W. & Yan, Y. Could the two anticyclonic eddies during winter 2003/2004 be reproduced and predicted in the northern South China Sea?. Ocean Science 15, (2019).
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 26, (2019).
Aydogdu, A., Carrassi, A., Guider, C.T., Jones, C.K.R.T. & Rampal, P. Data assimilation using adaptive, non-conservative, moving mesh models. Nonlinear processes in geophysics 26, (2019).
Vihma, T., et al. Effects of the tropospheric large-scale circulation on European winter temperatures during the period of amplified Arctic warming. International Journal of Climatology (2019).doi:10.1002/joc.6225
Elias, S.A., et al. Encyclopedia of Ecology. Reference Module in Earth Systems and Environmental Sciences. (2019).
Heinze, C., et al. ESD Reviews: Climate feedbacks in the Earth system and prospects for their evaluation. 10, (2019).
Metref, S., et al. Estimating model evidence using ensemble‐based data assimilation with localization – The model selection problem. Quarterly Journal of the Royal Meteorological Society 145, (2019).
Hoke, W., et al. The European Climate Research Alliance (ECRA): Collaboration from bottom-up. Advances in Geosciences 46, (2019).
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 15, (2019).
Cancet, M., et al. Evaluation of GlobCurrent surface ocean current products: A case study in Australia. Remote Sensing of Environment 220, (2019).
Blyverket, J., et al. 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 11, (2019). Abstract
Sloyan, B.M., et al. Evolving the global ocean observing system for research and application services through international coordinatio. Frontiers in Marine Science 6, (2019).
Lee, C.M., et al. A Framework for the Development, Design and Implementation of a Sustained Arctic Ocean Observing System. Frontiers in Marine Science (2019).
Lee, C.M., et al. A framework for the development, design and implementation of a sustained Arctic ocean observing system. 6:451, (2019). Abstract
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