Yiguo Wang

Job Position: 
Senior Researcher
Research Group: 
E-mail: 
Phone: 
+47 466 36 012

Academic Degree:

Doctor in Assimilation of lidar observations, Ecole Polytechnique de Paris, 2013
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Research interests

Data assimilation, seasonal-to-decadal climate predictions, air quality forecast.

My main interest is to apply advanced data assimialtion methods into prediction systems (e.g. Norwegian Earth System Model) to enhance prediction skill of the systems.

Project leader of the following projects

  1. 4SICE: Towards skillful subseasonal-to-seasonal sea ice prediction
  2. CoRea: Coupled reanalysis of the climate back to 1850

Peer Review Publications and Books

19 total publications.

2022

  1. Singh T, Counillon F, Tjiputra J, Wang Y, Gharamti ME. Estimation of Ocean Biogeochemical Parameters in an Earth System Model Using the Dual One Step Ahead Smoother: A Twin Experiment. Frontiers in Marine Science. 2022;9.

2021

  1. Counillon F, Keenlyside NS, Toniazzo T, Koseki S, Demissie TD, Bethke I, et al. Relating model bias and prediction skill in the equatorial Atlantic. Climate Dynamics. 2021;56(7-8).
  2. Bethke I, Wang Y, Counillon F, Keenlyside NS, Kimmritz M, Fransner F, et al. NorCPM1 and its contribution to CMIP6 DCPP. Geoscientific Model Development. 2021;14(11).
  3. Langehaug HR, Ortega P, Counillon F, Matei D, Maroon EA, Keenlyside NS, et al. Propagation of Thermohaline Anomalies and Their Predictive Potential along the Atlantic Water Pathway. Journal of Climate. 2021;35(7).

2020

  1. Dai P, Gao Y, Counillon F, Wang Y, Kimmritz M, Langehaug HR. Seasonal to decadal predictions of regional Arctic sea ice by assimilating sea surface temperature in the Norwegian Climate Prediction Model. Climate Dynamics. 2020;
  2. Smith DM, Scaife AA, Eade R, Athanasiadis PJ, Bellucci A, Bethke I, et al. North Atlantic climate far more predictable than models imply. Nature. 2020;583.
  3. Keenlyside N, Kosaka Y, Vigaud N, Robertson A, Wang Y, Dommenget D, et al. Basin Interactions and predictability. In: Interacting Climates of Ocean Basins. 2020.

2019

  1. Jackson LC, Dubois C, Forget G, Haines K, Harrison M, Iovino D, et al. The mean state and variability of the North Atlantic circulation: A perspective from ocean reanalyses. Journal of Geophysical Research (JGR): Oceans. 2019;124(12).
  2. Li F, Orsolini Y, Keenlyside N, Shen M-L, Counillon F, Wang Y. Impact of snow initialization in subseasonal-to-seasonal winter forecasts with the Norwegian Climate Prediction Model. Journal of Geophysical Research (JGR): Atmospheres. 2019;124(17-18).
  3. Wang Y, Counillon F, Keenlyside N, Svendsen L, Gleixner S, Kimmritz M, et al. Seasonal predictions initialised by assimilating sea surface temperature observations with the EnKF. Climate Dynamics. 2019;19(9-10).
  4. Kimmritz M, Counillon F, Smedsrud LH, Bethke I, Keenlyside N, Ogawa F, et al. Impact of ocean and sea ice initialisation on seasonal prediction skill in the Arctic. Journal of Advances in Modeling Earth Systems. 2019;11.
  5. Chen F, Gao Y, Wang Y, Li X. A downscaling-merging method for high-resolution daily precipitation estimation. Journal of Hydrology. 2019;581.

2018

  1. Cazenave A, Meyssignac B, Balmaseda M, Bamber J, Barletta V, Beckley B, et al. Global sea-level budget 1993–present. Earth System Science Data. 2018;10(3).
  2. Chen F, Gao Y, Wang Y, Qin F, Li X. Downscaling satellite-derived daily precipitation products with an integrated framework. International Journal of Climatology. 2018;

2017

  1. Wang Y, Counillon F, Bethke I, Keenlyside N, Bocquet M, Shen M-L. Optimising assimilation of hydrographic profiles into isopycnal ocean models with ensemble data assimilation. Ocean Modelling. 2017;114.
  2. Gleixner SN, Keenlyside N, Demissie TD, Counillon F, Wang Y, Viste E. Seasonal predictability of Kiremt rainfall in coupled general circulation models. Environmental Research Letters. 2017;12(11).

2016

  1. Wang Y, Counillon F, Bertino L. Alleviating the bias induced by the linear analysis update with an isopycnal ocean model. Quarterly Journal of the Royal Meteorological Society. 2016;142(695).
  2. Counillon F, Keenlyside N, Bethke I, Wang Y, Billeau S, Shen M-L, et al. Flow-dependent assimilation of sea surface temperature in isopycnal coordinates with the Norwegian climate prediction model. Tellus. Series A, Dynamic meteorology and oceanography. 2016;68:32437.

2014

  1. Wang Y, Sartelet KN, Bocquet M, Chazette P, Sicard M, D'Amico G, et al. Assimilation of lidar signals: Application to aerosol forecasting in the western Mediterranean basin. Atmospheric Chemistry and Physics (ACP). 2014;14(22).
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