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Eksporter 32 resultater:

Filtre: Forfatter er Jiping Xie [Slett Alle Filtre]

Miscellaneous

Fujii, Y., mfl. Observing system evaluation based on ocean data assimilation and prediction systems: On-going challenges and future vision for designing/supporting ocean observational networks. 6:417, (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. 6:429, (2019).

Journal Article

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

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).

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).

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

Lai, W., mfl. Assimilating In Situ and Remote Sensing Observations in a Highly Variable Estuary–Shelf Model. Journal of Atmospheric and Oceanic Technology 38, (2021).

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).

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

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

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 126, (2021).

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., 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).

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).

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).

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).

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).

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).

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

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).

Balibrea-Iniesta, F., mfl. Lagrangian transport across the upper Arctic waters in the Canadian Basin. Quarterly Journal of the Royal Meteorological Society 145, (2018).

Ardhuin, F., mfl. Measuring currents, ice drift, and waves from space: the Sea Surface KInematics Multiscale monitoring (SKIM) concept. Ocean Science 14, (2018).

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).

Fujii, Y., mfl. 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).doi:10.3389/fmars.2019.00417

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