Biblio

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2020
Raj, R.P., et al. Arctic Sea level Budget Assessment During the GRACE/Argo Time Period. Remote Sensing 125, (2020).
Aalstad, K., Westermann, S. & Bertino, L. Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography. Remote Sensing of Environment 239, (2020).
Shepherd, A., et al. Mass balance of the Greenland Ice Sheet from 1992 to 2018. Nature 579, (2020).
Smith, D.M., et al. North Atlantic climate far more predictable than models imply. Nature 583, (2020).
Cheng, S., Stopa, J.E., Ardhuin, F. & Shen, H.H. Spectral attenuation of ocean waves in pack ice and its application in calibrating viscoelastic wave-in-ice models. The Cryosphere (2020).doi:10.5194/tc-14-2053-2020
2019
Saros, J.E., et al. Arctic climate shifts drive rapid ecosystem responses across the West Greenland landscape. Environmental Research Letters 14, (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).
Aaboe, S., et al. Copernicus Marine Service Ocean State Report, Issue 3. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology 12, (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).
Elias, S.A., et al. Encyclopedia of Ecology. Reference Module in Earth Systems and Environmental Sciences. (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
Traon, P.-Y.L., et al. From observation to information and users: The Copernicus Marine Service Perspective. 6:234, (2019).
Ayed, I., de B'ezenac, E., Pajot, A., Brajard, J. & Gallinari, P. Learning the hidden dynamics of ocean temperature with neural networks. (2019).doi:10.5065/y82j-f154
Paskyabi, M.B., Valinejad, A. & Azodi, H.D. Numerical solution of regularised long ocean waves using periodised scaling functions. Pramana (Bangalore) 92, (2019).
Penny, S.G., et al. Observational needs for improving ocean and coupled reanalysis, S2S Prediction, and decadal prediction. Frontiers in Marine Science 6:391, (2019).
Ardhuin, F., et al. Observing sea states. 6:124, (2019).
Storto, A., et al. Ocean Reanalyses: Recent Advances and Unsolved Challenges. Frontiers in Marine Science 6, (2019).
Smith, G.C., et al. Polar ocean observations: A critical gap in the observing system and its effect on environmental predictions from hours to a season. 6:429, (2019).
Smith, G.C., et al. Polar Ocean Observations: A critical gap in the observing system and its effect on environmental predictions from hours to a season. Frontiers in Marine Science (2019).doi:10.3389/fmars.2019.00429
Gommenginger, C., et al. SEASTAR: A Mission to Study Ocean Submesoscale Dynamics and Small-Scale Atmosphere-Ocean Processes in Coastal, Shelf and Polar Seas. Frontiers in Marine Science 6, (2019).
Ardhuin, F., et al. SKIM, a Candidate Satellite Mission Exploring Global Ocean Currents and Waves. Frontiers in Marine Science 6, (2019).
Moore, A.M., et al. 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 6, (2019).
Vihma, T., et al. Towards an advanced observation system for the marine Arctic in the framework of the Pan-Eurasian Experiment (PEEX). Atmospheric Chemistry and Physics 19, (2019).
Blöschl, G., et al. Twenty-three unsolved problems in hydrology (UPH) – a community perspective. Hydrological Sciences Journal 64, (2019). Abstract
Lavergne, T., et al. Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records. The Cryosphere 13, (2019).
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