Biblio
Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system. The Cryosphere 10, (2016).
An OSSE evaluation of the GNSS-R altimetry data for the GEROS-ISS mission as a complement to the existing observational networks. Remote Sensing of Environment 209, (2018).
Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis. The Cryosphere 12, (2018). Abstract
Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991-2013. Ocean Science 13, (2017).
An eddy resolving tidal-driven model of the South China Sea assimilating along-track SLA data using the EnOI. Ocean Science 7, 609 - 627 (2011).
Impact of assimilating altimeter data on eddy characteristics in the South China Sea. Ocean Modelling 155, (2020).
Assimilation of sea surface salinities from SMOS in an Arctic coupled ocean and sea ice reanalysis. Ocean Science (2023).doi:10.5194/os-19-269-2023
Evaluation of sea-ice thickness reanalysis data from the coupled ocean-sea-ice data assimilation system TOPAZ4. Journal of Glaciology 67, (2021).
Burgundy regional climate change and its potential impact on grapevines. Climate Dynamics (2012).doi:10.1007/s00382-011-1284
Contributors to linkage between Arctic warming and East Asian winter climate. Climate Dynamics 57, (2021). Abstract
The Role of Mid-latitude Westerly Jet in the Impacts of November Ural Blocking on Early-Winter Warmer Arctic-Colder Eurasia Pattern. Geophysical Research Letters 49, (2022).
Estimates of changes in surface wind and temperature extremes in southwestern Norway using dynamical downscaling method under future climate. Weather and Climate Extremes 26, (2019).
Oceanic forcing of the global warming slowdown in multi-model simulations. International Journal of Climatology (2020).doi:10.1002/joc.6548
Soundscape Characterization and the Impact of Environmental Factors in the Central Part of the Fram Strait. The Acoustic and environmental variability, fluctuations and coherence (2016).
Greenland ice sheet contribution to future global sea level rise based on CMIP5 models. Advances in Atmospheric Sciences 31, (2014).
An ocean data assimilation system in the Indian ocean and west Pacific ocean,. Advances in Atmospheric Sciences 32, (2015).
A North-South Contrast of Subsurface Salinity Anomalies in the Northwestern Pacific From 2002 to 2013. Journal of Geophysical Research (JGR): Space Physics 124, (2019).
Comparison of ensemble-based and variational-based data assimilation schemes in a quasi-geostrophic model. 86th AMS annual meeting (2006).
Comparison of Local Ensemble Transform Kalman Filter, 3DVAR, and 4DVAR in a Quasigeostrophic Model. Monthly Weather Review 137, 693 - 709 (2009).