Jiping Xie

Job Position:

Researcher

Research Group:

Ocean Modeling

E-mail:

Academic Degree:

Doctor in geophysical fluid dynamics, Institute of Atmospheric Physics,Chinese Academy of Sciences, P. O. Box 9804,Beijing 100029, P. R. China, 2008

Research interests

My primary research goals are directed toward developing the ocean data assimilation system of ensemble assimilation method and improving the performance of a ocean and sea ice forecast syste:

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

CV

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CV	167.03 KB

Peer Review Publications and Books
Other Publications

Peer Review Publications and Books

21 total publications.

2020

Bertino L, Xie J. Operational Forecasting of Sea Ice in the Arctic Using TOPAZ system. 2020.

2019

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;
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).
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).
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;

2018

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.
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;
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).
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).
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).
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

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).

2016

Xie J, Counillon F, Bertino L, Tian-Kunze X, Kaleschke L. Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system. The Cryosphere. 2016;10(6).
Wickert J, Cardellach E, Martín-Neira M, Bandeiras J, Bertino L, Andersen OB, et al. GEROS-ISS: GNSS REflectometry, Radio Occultation, and Scatterometry Onboard the International Space Station. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2016;9(10).
Simoncelli S, Masina S, Axell L, Liu Y, Salon S, Bertino L, et al. MYOCEAN REGIONAL REANALYSES:OVERVIEW OF REANALYSES SYSTEMS AND MAIN RESULTS. 2016.

2015

Xie J, Zhu J, Bertino L, Counillon F. Analysis of the northern South China Sea counter-wind current in winter using a data assimilation model. Ocean Dynamics. 2015;
Yan C, Zhu J, Xie J. An ocean data assimilation system in the Indian ocean and west Pacific ocean,. Advances in Atmospheric Sciences. 2015;32(11).
Mignac D, Tanajura CAS, Santana AN, Lima LN, Xie J. Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean. Ocean Science. 2015;32(11).

2014

Ren S, Xie J, Zhu J. The Roles of Different Mechanisms Related to the Tide-induced Fronts in the Yellow Sea in Summer. Advances in Atmospheric Sciences. 2014;31(5).
Lyu G, Wang H, Zhu J, Wang D, Xie J, Liu G. Assimilating the along-track sea level anomaly into the regional ocean modeling system using the ensemble optimal interpolation. Acta Oceanologica Sinica. 2014;33(7).

Other Publications

2019

Fujii Y, Rémy 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 future vision for designing/supporting ocean observational networks [Internet]. 2019;6:417. Available from: http://hdl.handle.net/1956/21986
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. 2019;6:429.

Nansen Environmental and Remote Sensing Center	Nansen-Bangladesh International Centre for Coastal, Ocean and Climate Studies	Nansen International Environmental and Remote Sensing Center
Nansen Environmental Research Center – India	Nansen–Zhu International Research Centre	Nansen-Tutu Centre for Marine Environmental Research