Jiping Xie

Job Position: 
Researcher
Research Group: 
E-mail: 

Academic Degree:

Doctor in geophysical fluid dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, P. R. China, 2008

Research interests

My primary research goals are toward to develope the ocean and sea ice data-assimilation system with ensemble assimilation method and newest-types of observations for forecasting:

  • Focused on the Ensemble data assimilation method in operational oceanography to develope the practical schemes in different model systems.
  • Evaluation and investigation new types of ocean and sea ice observations in the related forecast systems. 

CV

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jipingxie_cv2018.pdf167.03 KB

Project deputy leader of the following projects

  1. TARDIS: Thickness of Arctic sea ice Reconstructed by Data assimilation and artificial Intelligence Seamlessly

Peer Review Publications and Books

29 total publications.

2022

  1. Nakanowatari T, Xie J, Bertino L, Matsueda M, Yamagami A, Inoue J. Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system. Environmental Research Letters. 2022;209.
  2. Martinez J, Gabarró C, Turiel A, Gonzalez-Gambau V, Umbert M, Hoareau N, et al. Improved BEC SMOS Arctic Sea Surface Salinity product v3.1. Earth System Science Data. 2022;14.

2021

  1. Liu Y, Xie J, Liu Z, Gan J, Zhu J. The Assimilation of Temperature and Salinity Profile Observations for Forecasting the River–Estuary–Shelf Waters. Journal of Geophysical Research (JGR): Oceans. 2021;126(10).
  2. Xiu Y, Min C, Xie J, Mu L, Han B, Yang Q. Evaluation of sea-ice thickness reanalysis data from the coupled ocean-sea-ice data assimilation system TOPAZ4. Journal of Glaciology. 2021;67(262).
  3. Lyu G, Armin K, Nuno S, Stammer D, Xie J. Arctic Ocean-Sea ice reanalysis for the period 2007-2016 using the adjoint method. Quarterly Journal of the Royal Meteorological Society. 2021;147(736).
  4. Lai W, Gan J, Liu Y, Liu Z, Xie J, Zhu J. Assimilating In Situ and Remote Sensing Observations in a Highly Variable Estuary–Shelf Model. Journal of Atmospheric and Oceanic Technology. 2021;38(3).

2020

  1. Bertino L, Xie J. Operational Forecasting of Sea Ice in the Arctic Using TOPAZ system. In: Sea Ice in the Arctic, Past, Present and Future. 2020.
  2. Raj RP, Halo I, Chatterjee S, Belonenko TV, Paskyabi MB, Bashmachnikov IL, et al. Interaction between mesoscale eddies and the gyre circulation in the Lofoten basin. Journal of Geophysical Research (JGR): Oceans. 2020;125.e2020JC016102(7).
  3. Xie J, de Vos M, Bertino L, Zhu J, Counillon F. Impact of assimilating altimeter data on eddy characteristics in the South China Sea. Ocean Modelling. 2020;155.

2019

  1. Fujii Y, Remy E, Hao Z, Oke P, Halliwell G, Gasparin F, et al. Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks. Frontiers in Marine Science. 2019;
  2. Smith GC, Allard R, Babin M, Bertino L, Chevallier M, Corlett G, et al. 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. 2019;
  3. Xie J, Raj RP, Bertino L, Samuelsen A, Wakamatsu T. Evaluation of Arctic Ocean surface salinities from the Soil Moisture and Ocean Salinity (SMOS) mission against a regional reanalysis and in situ data. Ocean Science. 2019;15(5).
  4. Shah A, Bertino L, Counillon F, Gharamti ME, Xie J. Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment. Tellus. Series A, Dynamic meteorology and oceanography. 2019;72(1).

2018

  1. Xie J, Bertino L, Cardellach E, Semmling M, Wickert J. 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. 2018;209.
  2. Uotila P, Goosse H, Haines K, Chevallier M, Barthélemy A, Bricaud C, et al. An assessment of ten ocean reanalyses in the polar regions. Climate Dynamics. 2018;
  3. Nakanowatari T, Inoue J, Sato K, Bertino L, Xie J, Matsueda M, et al. Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system. The Cryosphere. 2018;12(6).
  4. Ardhuin F, Aksenov Y, Benetazzo A, Bertino L, Brandt P, Caubet E, et al. Measuring currents, ice drift, and waves from space: the Sea Surface KInematics Multiscale monitoring (SKIM) concept. Ocean Science. 2018;14(3).
  5. Balibrea-Iniesta F, Xie J, Garcia-Garrido V, Bertino L, Mancho AM, Wiggins S. Lagrangian transport across the upper Arctic waters in the Canadian Basin. Quarterly Journal of the Royal Meteorological Society. 2018;145(718).
  6. Xie J, Counillon F, Bertino L. Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis. The Cryosphere. 2018;12(11).

2017

  1. Xie J, Bertino L, Lisæter KA, Counillon F, Sakov P. Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991-2013. Ocean Science. 2017;13(1).
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