4SICE

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Publications and outreach

Only lists those co-authored by our members:

• Paper by: Wang, Y., Li, X., Yang, Q., Yang, C., Yang, Y., Wang, Y. , Liu, J. (2026)

  The importance of dynamic preconditioning in predicting autumn Arctic sea ice

  Fundamental Research

• Paper by: Xiu, Y., Wang, Y. , Luo, H., Oliva, L.C.G., Yang, Q. (2025)

  Impact of Ocean, Sea Ice or Atmosphere Initialization on Seasonal Prediction of Regional Antarctic Sea Ice

  Journal of Advances in Modeling Earth Systems

• Lecture by: Wang, Y. (2025)

  Seasonal sea ice forecasting

  Nansen-Zhu summer school

• Paper by: Lin, Y., Yang, Q., Li, X., Dong, X., Luo, H., Nie, Y., Wang, J., Wang, Y. , Min, C. (2025)

  Ice-kNN-South: A Lightweight Machine Learning Model for Antarctic Sea Ice Prediction

  JGR Machine Learning & Computation

• Lecture by: Wang, Y. (2025)

  4SICE Progress Check Meeting

  4SICE meeting

• Paper by: Lin, Y., Min, C., Wang, Y. , Wang, K., Luo, H., Ali, A., Liu, J., Yang, Q. (2025)

  Improving Arctic Sea Ice Predictions of the Norwegian Climate Prediction Model Through Dynamical Downscaling

  Journal of Geophysical Research (JGR): Atmospheres

• Conf-paper by: Xiu, Y., Wang, Y. , Suo, L., Dalaiden, Q., Chiu, P., Nie, Y., Luo, H., Yang, Q. (2025)

  Influence of tropical Atlantic sea surface temperature on the sea ice variability in the Weddell Sea

  AOGS 2025

• Lecture by: Wang, Y. (2025)

  Seasonal sea ice forecasting

  Nanjing University summer school

• Paper by: He, Z., Wang, Y. , Brajard, J. , Wang, X., Shen, Z. (2025)

  Correcting errors in seasonal Arctic sea ice prediction of Earth system models with machine learning

  The Cryosphere

• Poster by: He, Z., Brajard, J. , Wang, Y. , Wang, X. (2025)

  Machine learning for bias correction of sea ice concentration prediction

  NERSC annual meeting

• Paper by: He, Z., Brajard, J. , Wang, Y. , Wang, X., Shen, Z. (2025)

  Improving dynamical climate predictions with machine learning: insights from a twin experiment framework

  Nonlinear processes in geophysics

• Lecture by: Wang, Y. , Counillon, F.S. (2025)

  Climate Reconstruction and Sea Ice Prediction Using NorCPM

  AOOS workshop

• Conf-paper by: Wang, Y. (2024)

  Impact of super resolution SIT data for seasonal sea ice predictions

  SuperIce workshop

• Conf-paper by: Xiu, Y., Wang, Y. , Suo, L., Chiu, P., Luo, H., Yang, Q. (2024)

  Influence of tropical Atlantic sea surface temperature on the sea ice variability in the Weddell Sea

  Chinese-Norwegian Collaboration Projects within Climate Systems

• Conf-paper by: Xiu, Y., Wang, Y. , Luo, H., Garcia-Oliva, L., Yang, Q. (2024)

  The variability and predictability of regional Antarctic sea ice on seasonal timescale

  EGU 2024

• Poster by: Xiu, Y., Wang, Y. , Luo, H., Oliva, L.C.G., Yang, Q. (2024)

  Impact of ocean, sea ice or atmosphere initialization on seasonal prediction of regional Antarctic sea ice in NorCPM

  IICWG 2024

• Conf-paper by: Wang, Y. , Williams, N., He, Z., Xiu, Y., Counillon, F.S. (2024)

  Recent developments of Norwegian Climate Prediction Model in seasonal sea ice forecasting 

  Chinese-Norwegian Collaboration Projects within Climate Systems

• Conf-paper by: Yang, Q., Min, C., Xiao, L., Liu, Y., Luo, H., Nie, Y., Nerger, L., Wang, Y. (2024)

  The Emerging Arctic Shipping Corridors

  Chinese-Norwegian Collaboration Projects within Climate Systems

• Conf-paper by: Wang, Y. (2024)

  Towards skillful subseasonal-to-seasonal sea ice prediction

  Digital workshop on China-Norway joint research projects

• Conf-paper by: Xiu, Y., Wang, Y. , Suo, L., Chiu, P., Luo, H., Yang, Q. (2024)

  Influence of tropical Atlantic sea surface temperature on the sea ice variability in the Weddell Sea

  BCPU meeting

• Conf-paper by: Wang, Y. (2024)

  Towards skillful subseasonal-to-seasonal sea ice prediction

  Chinese-Norwegian Collaboration Projects within Climate Systems

• Conf-paper by: He, Z., Brajard, J. , Wang, Y. , Wang, X., Shen, Z. (2024)

  Improving Seasonal Arctic Sea Ice Predictions with the Combination of Machine Learning and Earth System Model

  Chinese-Norwegian Collaboration Projects within Climate Systems

• Conf-paper by: He, Z., Brajard, J. , Wang, Y. , Wang, X., Shen, Z. (2024)

  Improving dynamical seasonal sea ice prediction in the Arctic with machine learning

  EGU 2024

• Conf-paper by: He, Z., Wang, Y. , Brajard, J. , Wang, X. (2024)

  Improving dynamical seasonal sea ice prediction in the Arctic with machine learning

  Workshop on Climate Prediction and Services over the Atlantic-Arctic region

• Conf-paper by: He, Z., Brajard, J. , Wang, Y. , Wang, X., Shen, Z. (2024)

  Improving dynamical prediction with machine learning

  NERSC internal seminar

• Poster by: He, Z., Wang, Y. , Brajard, J. (2024)

  Improving Seasonal Arctic Sea Ice Predictions with the Combination of Machine Learning and Earth System Model

  IICWG 2024

• Paper by: Bushuk, M., Ali, S., Bailey, D.A., Bao, Q., Batté, L., Bhatt, U.S., Blanchard-Wrigglesworth, E., Blockley, E., Cawley, G., Chi, J., Counillon, F.S. , Coulombe, P.G., Cullather, R.I., Diebold, F.X., Dirkson, A., Exarchou, E., Göbel, M., Gregory, W., Guemas, V., Hamilton, L., He, B., Horvath, S., Ionita, M., Kay, J.E., Kim, E., Kimura, N., Kondrashov, D., Labe, Z.M., Lee, W., Lee, Y.J., Liu, C., Liu, X., Lin, Y., Liu, Y., Maslowski, W., Massonnet, F., Meier, W.N., Merryfield, W.J., Myint, H., Navarro, J.C.A., Petty, A., Qiao, F., Schweiger, A., Shu, Q., Sigmond, M., Steele, M., Stroeve, J., Sun, N., Schröder, D., Tietsche, S., Tsamados, M., Wang, K., Wang, J., Wang, W., Wang, Y. , Williamson, J., Yang, Q., Yuan, X., Zhang, J., Zhang, Y. (2024)

  Predicting September Arctic Sea Ice: A Multi-Model Seasonal Skill Comparison

  Bulletin of The American Meteorological Society - (BAMS)

• Lecture by: Williams, N., Wang, Y. , Counillon, F.S. (2024)

  Enhancing sea ice prediction in NorCPM using assimilation of sea ice thickness from ENVISAT and C2SMOS

  Workshop on Climate Prediction and Services over the Atlantic-Arctic region

• Lecture by: Williams, N., Wang, Y. , Counillon, F.S. (2024)

  Enhancing sea ice prediction in NorCPM using assimilation of sea ice thickness from ENVISAT and C2SMOS

  4SICE Project Meeting 2024

• Lecture by: Williams, N., Wang, Y. , Counillon, F.S. (2024)

  Improving sea ice reanalysis and prediction in NorCPM using assimilation of sea ice thickness from ENVISAT and CS2SMOS

  SuperIce Webinar

• Lecture by: Wang, Y. , Counillon, F.S. (2024)

  Seasonal sea ice prediction

  Spring Meeting for NorESM/CMCC Collaboration

• Conf-paper by: Xiu, Y., Wang, Y. , Luo, H., Yang, Q. (2023)

  Seasonal prediction of NorCPM in the regional Antarctic sea ice

  11th International Workshop on Sea Ice Modelling, Assimilation, Observations, Predictions and Verification

• Conf-paper by: Wang, Y. (2023)

  Norwegian Climate Prediction Model development in sea ice forecasting

  Workshop focusing on Atmosphere-Ocean-Ice interactions

• Conf-paper by: Wang, Y. (2023)

  Norwegian Climate Prediction Model development in sea ice forecasting

  SYSU visit

• Conf-paper by: Xiu, Y., Wang, Y. , Luo, H., Yang, Q. (2023)

  Seasonal prediction of NorCPM in the regional Antarctic sea ice

  International Symposium on Sea Ice across Temporal and Spatial Scales

• Conf-paper by: Wang, Y. (2023)

  Seasonal sea ice forecasting

  NZC summer school

• Conf-paper by: Wang, Y. (2023)

  Key challenges in Arctic climate sciences and services

  Science Opportunities on Polar Connect workshop

• Conf-paper by: Wang, Y. (2023)

  Norwegian Climate Prediction Model development in sea ice forecasting

  IAP seminar

• Paper by: Min, C., Zhou, X., Luo, H., Yang, Y., Wang, Y. , Zhang, J., Yang, Q. (2023)

  Toward Quantifying the Increasing Accessibility of the Arctic Northeast Passage in the Past Four Decades

  Advances in Atmospheric Sciences

• Paper by: Lin, Y., Yang, Q., Li, X., Yang, C., Wang, Y. , Wang, J., Liu, J., Chen, S., Liu, J. (2023)

  Optimization of the k-nearest-neighbors model for summer Arctic Sea ice prediction

  Frontiers in Marine Science

• Conf-paper by: Wang, Y. , Yang, Q. (2023)

  Progress report on Towards skillful subseasonal-to-seasonal sea ice prediction

  4SICE project annual meeting

• Lecture by: Wang, Y. (2023)

  Seasonal sea ice prediction with NorCPM

  SuperIce project kickoff meeting

• Lecture by: Wang, Y. (2023)

  China-Norway co-funded research project on sea ice prediction

  Chinese ambassador visit

• Paper by: Yang, Q., Xiu, Y., Luo, H., Wang, J., Landy, J.C., Bushuk, M., Wang, Y. , Liu, J., Chen, D. (2023)

  Better synoptic and subseasonal sea ice thickness predictions are urgently required: a lesson learned from the YOPP data validation

  Environmental Research Letters

• Lecture by: He, Z., Brajard, J. , Wang, Y. , Wang, X. (2023)

  Machine learning for bias correction of sea ice concentration prediction

  BCCR annual meeting

• Conf-paper by: He, Z., Brajard, J. , Wang, Y. (2023)

  Combination of machine learning and dynamical prediction system for sea ice prediction: proof of concept

  4SICE project annual meeting

• Conf-paper by: He, Z., Brajard, J. , Wang, Y. (2023)

  Using machine learning to improve dynamical predictions in a coupled model

  EGU2023

• Conf-paper by: Counillon, F.S. (2023)

  Data assimilation methods for climate science

  9th Nansen-Zhu Summer School : Arctic-Eurasian Climate Change and Variability

• Conf-paper by: Counillon, F.S. , Wang, Y. , Bethke, I., Nair, A.S., Keenlyside, N.S., Garcia, L. (2023)

  Long coupled Earth System reanalysis with a focus on ocean and sea ice 

  2023 ECMWF Annual Seminar on Earth System Reanalysis

• Poster by: Wang, Y. , Counillon, F.S. , Williams, N. (2023)

  NorCPM’s new seasonal prediction skill in regional Arctic sea ice

  11th International Workshop on Sea Ice Modelling, Assimilation, Observations, Predictions and Verification

• Conf-paper by: Counillon, F.S. , Wang, Y. , Bethke, I., Keenlyside, N.S., Garcia, L. (2023)

  Climate prediction with the Norwegian Climate Prediction Model (NorCPM)

  Nansen-Zhu International Research Centre 20 year anniversary

• Conf-paper by: Williams, N., Wang, Y. , Counillon, F.S. (2023)

  Enhancing sea ice prediction in NorCPM using assimilation of sea ice thickness from ENVISAT and C2SMOS

  4SICE Annual Meeting

• Conf-paper by: Counillon, F.S. , Wang, Y. , Williams, N., Bethke, I., Keenlyside, N.S. (2023)

  Climate prediction in Norway “Bjerknes Climate Prediction Unit”

  2023 SASIP annual meeting took place in Bergen (27-30 June 2023)

• Paper by: Brajard, J. , Counillon, F.S. , Wang, Y. , Kimmritz, M. (2023)

  Enhancing Seasonal Forecast Skills by Optimally Weighting the Ensemble from Fresh Data

  Weather and forecasting

• Poster by: Williams, N., Wang, Y. , Counillon, F.S. (2023)

  Enhancing sea ice prediction in NorCPM using assimilation of sea ice thickness from ENVISAT and C2SMOS

  ISDA 2023

• Lecture by: Wang, Y. (2022)

  Towards skillful subseasonal-to-seasonal sea ice prediction (4SICE)

  Project kickoff meeting

• Lecture by: Wang, Y. (2022)

  NorCPM development in sea ice forecasting

  Digital Arctic Shipping –New data products and visualisation services

• Conf-paper by: Wang, Y. (2022)

  Towards skillful subseasonal-to-seasonal sea ice prediction (4SICE)

  NFR China-Norway pre-kickoff meeting

• Lecture by: Wang, Y. (2022)

  project progress

  4SICE Progress Check Meeting

• Lecture by: Counillon, F.S. , Brajard, J. , Wang, Y. (2022)

  Optimal-weight ensemble for a continuous sub-seasonal forecast

  Seamless seasonal-to-decadal predictions state

Total: 60

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