Hjem
Yiguo Wangs bilde

Yiguo Wang

Gjesteforsker
  • E-postyiguo.wang@uib.no
  • Besøksadresse
    Allégaten 70
    5007 Bergen
  • Postadresse
    Postboks 7803
    5020 Bergen
Vitenskapelig artikkel
  • Vis forfatter(e) (2024). A Data- and Knowledge-Driven Method for Fusing Satellite-Derived and Ground-Based Precipitation Observations. IEEE Transactions on Geoscience and Remote Sensing.
  • Vis forfatter(e) (2023). Toward Quantifying the Increasing Accessibility of the Arctic Northeast Passage in the Past Four Decades. Advances in Atmospheric Sciences.
  • Vis forfatter(e) (2023). Optimization of the k-nearest-neighbors model for summer Arctic Sea ice prediction. Frontiers in Marine Science.
  • Vis forfatter(e) (2023). How well do 13 satellite-derived precipitation products capture the temporal and spatial variations of precipitation over Chinese mainland? International Journal of Remote Sensing. 6981-7016.
  • Vis forfatter(e) (2023). Enhancing Seasonal Forecast Skills by Optimally Weighting the Ensemble from Fresh Data. Weather and forecasting. 1241-1252.
  • Vis forfatter(e) (2023). Better synoptic and subseasonal sea ice thickness predictions are urgently required: a lesson learned from the YOPP data validation. Environmental Research Letters.
  • Vis forfatter(e) (2022). WMO Global Annual to Decadal Climate Update A Prediction for 2021-25. Bulletin of The American Meteorological Society - (BAMS). E1117-E1129.
  • Vis forfatter(e) (2022). Reliability of satellite-derived precipitation data in driving hydrological simulations: a case study of the upper Huaihe River basin, China. Journal of Hydrology.
  • Vis forfatter(e) (2022). Estimation of Ocean Biogeochemical Parameters in an Earth System Model Using the Dual One Step Ahead Smoother: A Twin Experiment. Frontiers in Marine Science.
  • Vis forfatter(e) (2022). Benefit of vertical localization for sea surface temperature assimilation in isopycnal coordinate model. Frontiers in Climate. 1-15.
  • Vis forfatter(e) (2021). Relating model bias and prediction skill in the equatorial Atlantic. Climate Dynamics. 2617-2630.
  • Vis forfatter(e) (2021). Propagation of Thermohaline Anomalies and Their Predictive Potential along the Atlantic Water Pathway. Journal of Climate. 2111-2131.
  • Vis forfatter(e) (2021). NorCPM1 and its contribution to CMIP6 DCPP. Geoscientific Model Development. 7073-7116.
  • Vis forfatter(e) (2020). Seasonal to decadal predictions of regional Arctic sea ice by assimilating sea surface temperature in the Norwegian Climate Prediction Model. Climate Dynamics.
  • Vis forfatter(e) (2020). North Atlantic climate far more predictable than models imply. Nature.
  • Vis forfatter(e) (2019). The mean state and variability of the North Atlantic circulation: A perspective from ocean reanalyses. Journal of Geophysical Research (JGR): Oceans. 9141-9170.
  • Vis forfatter(e) (2019). Seasonal predictions initialised by assimilating sea surface temperature observations with the EnKF. Climate Dynamics. 5777-5797.
  • Vis forfatter(e) (2019). Impact of snow initialization in subseasonal-to-seasonal winter forecasts with the Norwegian Climate Prediction Model. Journal of Geophysical Research (JGR): Atmospheres. 10033-10048.
  • Vis forfatter(e) (2019). Impact of ocean and sea ice initialisation on seasonal prediction skill in the Arctic. Journal of Advances in Modeling Earth Systems. 4147-4166.
  • Vis forfatter(e) (2019). A downscaling-merging method for high-resolution daily precipitation estimation. Journal of Hydrology. 1-15.
  • Vis forfatter(e) (2018). Downscaling satellite-derived daily precipitation products with an integrated framework. International Journal of Climatology. 1-18.
  • Vis forfatter(e) (2017). Seasonal predictability of Kiremt rainfall in coupled general circulation models. Environmental Research Letters.
  • Vis forfatter(e) (2017). Optimising assimilation of hydrographic profiles into isopycnal ocean models with ensemble data assimilation. Ocean Modelling. 33-44.
  • Vis forfatter(e) (2016). Flow-dependent assimilation of sea surface temperature in isopycnal coordinates with the Norwegian climate prediction model . Tellus A: Dynamic Meteorology and Oceanography.
  • Vis forfatter(e) (2016). Alleviating the bias induced by the linear analysis update with an isopycnal ocean model. Quarterly Journal of the Royal Meteorological Society. 1064-1074.
  • Vis forfatter(e) (2014). Assimilation of lidar signals: Application to aerosol forecasting in the western Mediterranean basin. Atmospheric Chemistry and Physics (ACP). 12031-12053.
Rapport
  • Vis forfatter(e) (2017). Coupled Data Assimilation for Integrated Earth System Analysis and Prediction: Goals, Challenges, and Recommendations. .
Faglig foredrag
  • Vis forfatter(e) (2023). Seasonal sea ice prediction with NorCPM.
  • Vis forfatter(e) (2023). NorCPM – status and plans for CMIP7.
  • Vis forfatter(e) (2023). Machine learning for bias correction of sea ice concentration prediction.
  • Vis forfatter(e) (2023). China-Norway co-funded research project on sea ice prediction.
  • Vis forfatter(e) (2022). project progress.
  • Vis forfatter(e) (2022). Towards skillful subseasonal-to-seasonal sea ice prediction (4SICE).
  • Vis forfatter(e) (2022). Recent developments of NorCPM in climate reanalysis.
  • Vis forfatter(e) (2022). Recent developments of NorCPM in climate reanalysis.
  • Vis forfatter(e) (2022). Optimal-weight ensemble for a continuous sub-seasonal forecast.
  • Vis forfatter(e) (2022). NorCPM development in sea ice forecasting .
  • Vis forfatter(e) (2022). Benefit of vertical localisation for sea surface temperature assimilation in isopycnal coordinate ocean model for climate reconstruction.
  • Vis forfatter(e) (2019). Status of climate prediction and future challenges: a perspective from Norway.
  • Vis forfatter(e) (2019). Recent developments of the Norwegian Climate Prediction Model for seasonal to decadal predictions.
  • Vis forfatter(e) (2019). Enhancing the skill of dynamical climate prediction: Avenue explored with the NorCPM.
  • Vis forfatter(e) (2018). Enhanced skill of dynamical prediction in the Arctic.
  • Vis forfatter(e) (2018). Dynamical climate predictions at the Bjerknes Center.
  • Vis forfatter(e) (2018). Development and current S2D prediction skill of the Norwegian Climate Prediction Model .
  • Vis forfatter(e) (2018). Data assimilation for Earth System Model.
  • Vis forfatter(e) (2017). Initialized experiments for seasonal climate prediction at high latitudes.
  • Vis forfatter(e) (2017). Development of coupled data assimilation in Norwegian Climate Prediction Model.
  • Vis forfatter(e) (2016). Reanalysis and climate prediction with the Norwegian Climate Prediction Model .
  • Vis forfatter(e) (2016). Reanalysis and climate prediction with the Norwegian Climate Prediction Model .
  • Vis forfatter(e) (2016). Flow dependent assimilation of SST in isopycnal coordinate with the NorCPM.
Vitenskapelig foredrag
  • Vis forfatter(e) (2023). Using machine learning to improve dynamical predictions in a coupled model.
  • Vis forfatter(e) (2023). Seasonal sea ice forecasting.
  • Vis forfatter(e) (2023). Seasonal prediction of NorCPM in the regional Antarctic sea ice.
  • Vis forfatter(e) (2023). Seasonal prediction of NorCPM in the regional Antarctic sea ice.
  • Vis forfatter(e) (2023). Recent developments of NorCPM in long-coupled climate reanalysis.
  • Vis forfatter(e) (2023). Recent developments of NorCPM in climate reanalysis.
  • Vis forfatter(e) (2023). Progress report on Towards skillful subseasonal-to-seasonal sea ice prediction.
  • Vis forfatter(e) (2023). Offline ensemble Kalman smoother for climate reanalysis.
  • Vis forfatter(e) (2023). Novel data assimilation method for long-coupled reanalysis.
  • Vis forfatter(e) (2023). Norwegian Climate Prediction Model development in sea ice forecasting .
  • Vis forfatter(e) (2023). Norwegian Climate Prediction Model development in sea ice forecasting.
  • Vis forfatter(e) (2023). Norwegian Climate Prediction Model development in sea ice forecasting.
  • Vis forfatter(e) (2023). Long coupled Earth System reanalysis with a focus on ocean and sea ice .
  • Vis forfatter(e) (2023). Key challenges in Arctic climate sciences and services.
  • Vis forfatter(e) (2023). Hindcast drift in different model and assimilation versions: which version should be used for the CoRea project?
  • Vis forfatter(e) (2023). Enhancing sea ice prediction in NorCPM using assimilation of sea ice thickness from ENVISAT and C2SMOS.
  • Vis forfatter(e) (2023). Combination of machine learning and dynamical prediction system for sea ice prediction: proof of concept .
  • Vis forfatter(e) (2023). Climate prediction with the Norwegian Climate Prediction Model (NorCPM).
  • Vis forfatter(e) (2023). Climate prediction in Norway “Bjerknes Climate Prediction Unit”.
  • Vis forfatter(e) (2022). Towards skillful subseasonal-to-seasonal sea ice prediction (4SICE).
  • Vis forfatter(e) (2021). Relating model bias and prediction skill in the equatorial Atlantic.
  • Vis forfatter(e) (2021). Propagation of Thermohaline Anomalies and their predictive potential in the Northern North Atlantic.
  • Vis forfatter(e) (2020). CoRea project introduction.
  • Vis forfatter(e) (2020). Attribution of Predictive Skill Along the Atlantic Water Pathway.
  • Vis forfatter(e) (2019). Seasonal predictions initialised by assimilating SST data with the EnKF.
  • Vis forfatter(e) (2019). Norwegian Climate Prediction Model (NorCPM).
  • Vis forfatter(e) (2019). NorCPM1 and its contribution to CMIP6 DCPP.
  • Vis forfatter(e) (2019). Impact of Snow Initialization in Subseasonal-to-Seasonal (S2S) Winter Forecasts with the Norwegian Climate Prediction Model.
  • Vis forfatter(e) (2019). Empirical anisotropic multivariate localisation in the ensemble Kalman filter for Earth System models.
  • Vis forfatter(e) (2019). Development of ensemble-based data assimilation techniques for climate prediction .
  • Vis forfatter(e) (2019). Assessing the contribution of ocean and sea ice initialization for seasonal prediction in the Arctic.
  • Vis forfatter(e) (2018). Subtropical North Atlantic preconditioning key to skilful subpolar gyre prediction.
  • Vis forfatter(e) (2018). Seasonal prediction skill in the tropical Atlantic using anomaly coupling.
  • Vis forfatter(e) (2018). Optimised assimilation of sea ice concentration and implications for climate prediction.
  • Vis forfatter(e) (2018). Norwegian Climate Prediction Model.
  • Vis forfatter(e) (2018). Can we use flow dependent assimilation with a high resolution Earth System Model ?
  • Vis forfatter(e) (2017). Data assimilation of sea ice within NorCPM.
  • Vis forfatter(e) (2017). Climate prediction with the Norwegian model NorCPM.
  • Vis forfatter(e) (2017). Climate prediction with NorCPM.
  • Vis forfatter(e) (2017). Arctic Climate Predictions: Pathways to Resilient, Sustainable Societies .
  • Vis forfatter(e) (2016). Data assimilation of sea ice within the Norwegian Climate Prediction Model.
  • Vis forfatter(e) (2014). Seasonal-to-decadal prediction with NorCPM.
  • Vis forfatter(e) (2014). Seasonal to decadal prediction with NorCPM.
  • Vis forfatter(e) (2014). Seasonal to decadal prediction with NorCPM.
Leder
  • Vis forfatter(e) (2023). Editorial: Recent advances in climate reanalysis. Frontiers in Climate.
Intervju
  • Vis forfatter(e) (2016). Betydningen av en god start.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Vis forfatter(e) (2020). Basin Interactions and predictability. 35 sider.
Poster
  • Vis forfatter(e) (2023). NorCPM’s new seasonal prediction skill in regional Arctic sea ice.
  • Vis forfatter(e) (2023). Enhancing sea ice prediction in NorCPM using assimilation of sea ice thickness from ENVISAT and C2SMOS .
  • Vis forfatter(e) (2023). Decadal predictions initialised by assimilation of sea surface temperature observations.
  • Vis forfatter(e) (2022). Coupled reanalysis of the climate back to 1850 (CoRea).
  • Vis forfatter(e) (2022). Benefit of vertical localisation for sea surface temperature assimilation in isopycnal coordinate model.
  • Vis forfatter(e) (2021). Seasonal prediction in northern Atlantic Ocean and Norwegian Seas.
  • Vis forfatter(e) (2021). Coupled reanalyses of NorCPM1 contributed to CMIP6 DCPP.
  • Vis forfatter(e) (2021). Anomaly assimilation of hydrographic profile data with the Norwegian Climate Prediction Model (NorCPM).
  • Vis forfatter(e) (2019). Sensitivity of decadal climate predictions in the North Atlantic to anomaly initialisation choices.
  • Vis forfatter(e) (2019). Impact of snow initialisation in subseasonal-to-seasonal winter forecasts with the Norwegian Climate Prediction Model.
  • Vis forfatter(e) (2018). Seasonal-to-decadal prediction with the Norwegian Climate Prediction Model.
  • Vis forfatter(e) (2018). Relating model bias and prediction skill in the tropical Atlantic.
  • Vis forfatter(e) (2018). Assimilation of sea ice in an Earth system model and its impacts for climate prediction .
  • Vis forfatter(e) (2018). Assimilation of sea ice in an Earth system model and its impacts for climate prediction.
  • Vis forfatter(e) (2018). Assimilation of sea ice in an Earth system model and impacts for climate prediction.
  • Vis forfatter(e) (2018). Assimilation of sea ice in an Earth system model.
  • Vis forfatter(e) (2018). A minimalistic damped harmonic oscillator framework for assessing decadal climate predictability in the Subpolar North Atlantic.
Vitenskapelig oversiktsartikkel/review
  • Vis forfatter(e) (2018). Global sea-level budget 1993–present. Earth System Science Data. 1551-1590.

Se fullstendig oversikt over publikasjoner i CRIStin.