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Filtre: Forfatter er Jiping Xie [Slett Alle Filtre]

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Y

Yan, C., Zhu, J. & Xie, J. An ocean data assimilation system in the Indian ocean and west Pacific ocean,. Advances in Atmospheric Sciences 32, (2015).

X

Xiu, Y., mfl. Evaluation of sea-ice thickness reanalysis data from the coupled ocean-sea-ice data assimilation system TOPAZ4. Journal of Glaciology 67, (2021).

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 209, (2018).

Xie, J., Counillon, F., Zhu, J. & Bertino, L. 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).

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

Xie, J., Raj, R.P., 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 15, (2019).

Xie, J., mfl. 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

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 10, (2016).

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 12, (2018). Abstract

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 155, (2020).

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).doi:10.1007/s10236-015-0817-y

W

Wickert, J., mfl. 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 9, (2016).

U

Uotila, P., mfl. An assessment of ten ocean reanalyses in the polar regions. Climate Dynamics (2018).doi:10.1007/s00382-018-4242-z

S

Smith, G.C., mfl. Polar ocean observations: A critical gap in the observing system and its effect on environmental predictions from hours to a season. 6:429, (2019).

Smith, G.C., mfl. 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).doi:10.3389/fmars.2019.00429

Simoncelli, S., mfl. MYOCEAN REGIONAL REANALYSES:OVERVIEW OF REANALYSES SYSTEMS AND MAIN RESULTS. MERCATOR OCEAN JOURNAL NO 54: Main outcomes of the Myocean2 and Myocean follow-on projects (2016).

Shah, A., Bertino, L., Counillon, F., Gharamti, M.E. & Xie, J. Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment. Tellus. Series A, Dynamic meteorology and oceanography 72, (2019). Abstract

R

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 31, (2014).

Raj, R.P., mfl. Interaction between mesoscale eddies and the gyre circulation in the Lofoten basin. Journal of Geophysical Research (JGR): Oceans 125.e2020JC016102, (2020).

N

Nakanowatari, T., mfl. 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 12, (2018).

Nakanowatari, T., mfl. Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system. Environmental Research Letters 209, (2022).

M

Mignac, D., Tanajura, C.A.S., Santana, A.N., Lima, L.N. & Xie, J. Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean. Ocean Science 32, (2015).

Martinez, J., mfl. Improved BEC SMOS Arctic Sea Surface Salinity product v3.1. Earth System Science Data 14, (2022).

L

Lyu, G., mfl. Assimilating the along-track sea level anomaly into the regional ocean modeling system using the ensemble optimal interpolation. Acta Oceanologica Sinica 33, (2014).

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 147, (2021).

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