Crossref Citations
This Book has been
cited by the following publications. This list is generated based on data provided by Crossref.
Zampieri, Lorenzo
Goessling, Helge F.
and
Jung, Thomas
2018.
Bright Prospects for Arctic Sea Ice Prediction on Subseasonal Time Scales.
Geophysical Research Letters,
Vol. 45,
Issue. 18,
p.
9731.
Cooke, Colin L. V.
and
Scott, K. Andrea
2019.
Estimating Sea Ice Concentration From SAR: Training Convolutional Neural Networks With Passive Microwave Data.
IEEE Transactions on Geoscience and Remote Sensing,
Vol. 57,
Issue. 7,
p.
4735.
Smith, Gregory C.
Allard, Richard
Babin, Marcel
Bertino, Laurent
Chevallier, Matthieu
Corlett, Gary
Crout, Julia
Davidson, Fraser
Delille, Bruno
Gille, Sarah T.
Hebert, David
Hyder, Patrick
Intrieri, Janet
Lagunas, José
Larnicol, Gilles
Kaminski, Thomas
Kater, Belinda
Kauker, Frank
Marec, Claudie
Mazloff, Matthew
Metzger, E. Joseph
Mordy, Calvin
O’Carroll, Anne
Olsen, Steffen M.
Phelps, Michael
Posey, Pamela
Prandi, Pierre
Rehm, Eric
Reid, Phillip
Rigor, Ignatius
Sandven, Stein
Shupe, Matthew
Swart, Sebastiaan
Smedstad, Ole Martin
Solomon, Amy
Storto, Andrea
Thibaut, Pierre
Toole, John
Wood, Kevin
Xie, Jiping
and
Yang, Qinghua
2019.
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,
Vol. 6,
Issue. ,
Asadi, Nazanin
Scott, Andrea
and
Clausi, David A.
2019.
Data fusion and data assimilation of ice thickness observations using a
regularisation framework.
Tellus A: Dynamic Meteorology and Oceanography,
Vol. 71,
Issue. 1,
p.
1564487.
Xu, Yan
and
Scott, K. Andrea
2019.
Impact of intermediate ice concentration training data on sea ice concentration estimates from a convolutional neural network.
International Journal of Remote Sensing,
Vol. 40,
Issue. 15,
p.
5799.
Melsom, Arne
Palerme, Cyril
and
Müller, Malte
2019.
Validation metrics for ice edge position forecasts.
Ocean Science,
Vol. 15,
Issue. 3,
p.
615.
Mile, Máté
Randriamampianina, Roger
Marseille, Gert‐Jan
and
Stoffelen, Ad
2021.
Supermodding – A special footprint operator for mesoscale data assimilation using scatterometer winds.
Quarterly Journal of the Royal Meteorological Society,
Vol. 147,
Issue. 735,
p.
1382.
Mile, Máté
Azad, Roohollah
and
Marseille, Gert‐Jan
2022.
Assimilation of Aeolus Rayleigh‐Clear Winds Using a Footprint Operator in AROME‐Arctic Mesoscale Model.
Geophysical Research Letters,
Vol. 49,
Issue. 10,
Asadi, Nazanin
Lamontagne, Philippe
King, Matthew
Richard, Martin
and
Scott, K. Andrea
2022.
Probabilistic spatiotemporal seasonal sea ice presence forecasting using sequence-to-sequence learning and ERA5 data in the Hudson Bay region.
The Cryosphere,
Vol. 16,
Issue. 9,
p.
3753.
Luo, Hao
Yang, Qinghua
Mazloff, Matthew
and
Chen, Dake
2023.
A Balanced Atmospheric Ensemble Forcing for Sea Ice Modeling in Southern Ocean.
Geophysical Research Letters,
Vol. 50,
Issue. 5,
Chen, Siwen
Li, Kehan
Fu, Hongpeng
Wu, Ying Cheng
and
Huang, Yiyi
2023.
Sea Ice Extent Prediction with Machine Learning Methods and Subregional Analysis in the Arctic.
Atmosphere,
Vol. 14,
Issue. 6,
p.
1023.
Mile, Máté
Guedj, Stephanie
and
Randriamampianina, Roger
2024.
Exploring the footprint representation of microwave radiance observations in an Arctic limited-area data assimilation system.
Geoscientific Model Development,
Vol. 17,
Issue. 17,
p.
6571.