Arctic System Reanalysis (ASR) Project
d631000
| DOI: 10.5065/D6K072B5
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Citation Statistics for this Dataset:
This dataset has been cited 12 times. See a list of published works that have cited this dataset Published works that have cited this dataset:
2024
Ridal, M., E. Bazile, P. Le Moigne, R. Randriamampianina, S. Schimanke, U. Andrae, L. Berggren, P. Brousseau, P. Dahlgren, L. Edvinsson, A. El-Said, M. Glinton, S. Hagelin, S. Hopsch, L. Isaksson, P. Medeiros, E. Olsson, P. Unden, and Z. Q. Wang, 2024: <scp>CERRA</scp>, the Copernicus European Regional Reanalysis system. Quarterly Journal of the Royal Meteorological Society, 150(763), 3385-3411, https://doi.org/10.1002/qj.4764
2020
Chanona, M., and S. Waterman, 2020: Temporal Variability of Internal Wave-Driven Mixing in Two Distinct Regions of the Arctic Ocean. Journal of Geophysical Research: Oceans, 125(10), https://doi.org/10.1029/2020JC016181
Cheng, S., A. Aydogdu, P. Rampal, A. Carrassi, and L. Bertino, 2020: Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion. Oceans-switzerland, 1(4), 326-342, https://doi.org/10.3390/oceans1040022
Edel, L., C. Claud, C. Genthon, C. Palerme, N. Wood, T. L'Ecuyer, and D. Bromwich, 2020: Arctic Snowfall from <i>CloudSat<\/i> Observations and Reanalyses. Journal of Climate, 33(6), 2093-2109, https://doi.org/10.1175/JCLI-D-19-0105.1
2019
Kaiser-Weiss, A. K., M. Borsche, D. Niermann, F. Kaspar, C. Lussana, F. A. Isotta, E. van den Besselaar, G. van der Schrier, and P. Undén, 2019: Added value of regional reanalyses for climatological applications. Environmental Research Communications, 1(7), https://doi.org/10.1088/2515-7620/ab2ec3
2018
Chanona, M., S. Waterman, and Y. Gratton, 2018: Variability of Internal Wave-Driven Mixing and Stratification in Canadian Arctic Shelf and Shelf-Slope Waters. Journal of Geophysical Research-oceans, 123(12), 9178-9195, https://doi.org/10.1029/2018JC014342
Gutjahr, O., G. Heinemann, and G. Heinemann, 2018: A model-based comparison of extreme winds in the Arctic and around Greenland. International Journal of Climatology, 38(14), 5272-5292, https://doi.org/10.1002/joc.5729
Rabatel, M., P. Rampal, A. Carrassi, L. Bertino, C. K. R. T. Jones, and C. K. Jones, 2018: Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic. The Cryosphere, 12(3), 935-953, https://doi.org/10.5194/tc-12-935-2018
2017
Kohnemann, S. H. E., G. Heinemann, D. H. Bromwich, and O. Gutjahr, 2017: Extreme Warming in the Kara Sea and Barents Sea during the Winter Period 2000-16. Journal of Climate, 30(22), 8913-8927, https://doi.org/10.1175/JCLI-D-16-0693.1
Kolstad, E. W., 2017: Higher ocean wind speeds during marine cold air outbreaks. Quarterly Journal of the Royal Meteorological Society, 143, 2084-2092, https://doi.org/10.1002/qj.3068
2016
Rampal, P., S. Bouillon, E. Ólason, and M. Morlighem, 2016: neXtSIM: a new Lagrangian sea ice model. The Cryosphere, 10(3), 1055-1073, https://doi.org/10.5194/tc-10-1055-2016
Wang, F., W. Li, and S. Wang, 2016: Polar cyclone identification from 4D climate data in a knowledge-driven visualization system. Climate, 4, https://doi.org/10.3390/cli4030043