Biblio

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S
Xu, X., et al. Strengthened linkage between midlatitudes and Arctic in boreal winter. Climate Dynamics (2019).doi:10.1007/s00382-019-04764-7
Achberger, C., et al. STATE OF THE CLIMATE IN 2011 Special Supplement to the Bulletin of the American Meteorological Society Vol. 93, No. 7, July 2012. Bulletin of the American Meteorological Society 93, S1-+ (2012).
Achberger, C., et al. STATE OF THE CLIMATE IN 2010. Bulletin of the American Meteorological Society 92, S17-+ (2011).
Peterson, T.C., et al. State of the Climate in 2008. Bulletin of the American Meteorological Society 90, S13-+ (2009).
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
Xiao, L., Che, T., Chen, L., Xie, H. & Dai, L. Quantifying snow albedo radiative forcing and its feedback during 2003-2016. Remote Sensing 9:883, (2017).
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
Yu, E., Wang, T., Gao, Y. & Xiang, W. Precipitation Pattern of the mid-Holocene simulated by a high-resolution RCM. Advances in Atmospheric Sciences 31, (2014).
Smith, G.C., 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).doi:10.3389/fmars.2019.00429
Cai, W., et al. Pantropical climate interactions. Science 363, (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).
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., 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).doi:10.3389/fmars.2019.00417
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Yan, Y., Svendsen, L., Wang, C., Keenlyside, N. & Xu, D. A North-South Contrast of Subsurface Salinity Anomalies in the Northwestern Pacific From 2002 to 2013. Journal of Geophysical Research (JGR): Space Physics 124, (2019).
M
Simoncelli, S., et al. MYOCEAN REGIONAL REANALYSES:OVERVIEW OF REANALYSES SYSTEMS AND MAIN RESULTS. (2016).
Esau, I., Bergh, J.E., Davy, R., Outten, S. & Xu, Y. Micro-climate on MEGA-computers. META (2012).
Nakanowatari, T., 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 12, (2018).
Ardhuin, F., et al. Measuring currents, ice drift, and waves from space: the Sea Surface KInematics Multiscale monitoring (SKIM) concept. Ocean Science 14, (2018).
L
Balibrea-Iniesta, F., et al. Lagrangian transport across the upper Arctic waters in the Canadian Basin. Quarterly Journal of the Royal Meteorological Society 145, (2018).
I
Stocker, F., et al. IPCC, 2013: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. 1535 (2013).
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
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Wickert, J., 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 9, (2016).
E
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., 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).
C
Xu, D., Zhuang, W. & Yan, Y. Could the two anticyclonic eddies during winter 2003/2004 be reproduced and predicted in the northern South China Sea?. Ocean Science 15, (2019).
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Nansen-Tutu Centre for Marine Environmental Research