Biblio

List
Filter

Eksporter 32 resultater:

Filtre: Forfatter er Jiping Xie [Slett Alle Filtre]

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

S

Lien, V.S., mfl. Section 4.2. Oceanic response to the 2020 Siberian heatwave In: Copernicus Ocean State Report, issue 6. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology 15, (2022).

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).

Q

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).

P

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

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).

O

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).

Bertino, L. & Xie, J. Operational Forecasting of Sea Ice in the Arctic Using TOPAZ system. Sea Ice in the Arctic, Past, Present and Future (2020).doi:10.1007/978-3-030-21301-5_9

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).

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

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).

M

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).

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).

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

L

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

I

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).

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., 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

G

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).

E

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., 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).

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., 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).

B

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).

A

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).

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 A: Dynamic Meteorology and Oceanography 72, (2019). Abstract

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