COI medarbejdere
Tian Tian
English version
 Tian Tian
 Afdeling: COI
 Telefon: +45 39 15 73 43
 E-mail:
 Stilling: Ph.D.



Research field

Marine ecology, remote sensing of ocean colour, ecological modelling, individual-based modelling of marine populations, ocean modelling-climate change downscaling.

Education

2011:  Ph.D. in Marine Ecology, Faculty of Mathematics and Natural Sciences, University of Kiel, Germany.

2006:  M.Sc. in Water and Coastal Management, Department of Biology, University of Bergen, Norway.

Other certificates

EUR-OCEANS/CARBOOCEAN Summer School: Combining data and models - statistical analysis and data assimilation in biogeochemical oceanography, IFM-GEOMAR, University of Kiel, Germany (10-14/09/2007).

Advanced Course (Nordic Marine Academy): Modelling marine populations from physics to evolution, Espegrend marine biological station, University of Bergen, Norway (10-16/10/2005).


Work experience

2008.12 - :     Researcher in Ecological Modelling at COI/DMI.

2006 - 2008:  Research assistant in studying spring bloom dynamics in the German Bight (PhD project). Institute of Coastal Research, Helmholtz-Zentrum Geesthacht (HZG), Germany.


Peer reviewed publications

Tian, T., Boberg, F., Christensen, O., Christensen, J., She, J., Vihma, T., 2013. Resolved complex coastlines and land-sea contrasts in a high-resolution regional climate model: a comparative study using prescribed and modelled SSTs. Tellus A, 65, 19951, doi:10.3402/tellusa.v65i0.19951.

Tian, T., Su, J., Flöser, G., Wiltshire, K. and Wirtz, K., 2011. Factors controlling the onset of spring blooms in the German Bight 2002-2005: light, wind and stratification. Continental Shelf Res. 31(10), 1140-1148.

Tian, T., Merico, A., Su, J., Staneva, J., Wiltshire, K. and Wirtz, K., 2009. Importance of resuspended sediment dynamics for the phytoplankton spring bloom in a coastal marine ecosystem. J. Sea Res. 62(4), 214-228.

Tian, T., Fiksen, Ø. and Folkvord, A., 2007. Estimating larval fish growth under size-dependent mortality: a numerical analysis of bias. Can. J. Fish. Aquat. Sci. 64(3), 554-562.

Tian, T., Wei, H., Su, J. and Chung, C.S., 2005. Simulations of annual cycle of phytoplankton production and the utilization of nitrogen in the Yellow Sea. J. Oceanogr. 61(2), 343-357.

Tian, T., Wei, H., Su, J., Chung, C.S. and Sun, W.X., 2003. Study on cycle and budgets of nutrients in the Yellow Sea. Advances in Marine Science 21(1), 1-11 (in Chinese with English abstract).

Wei, H., Tian, T., Zhou, F. and Zhao, L., 2002. Numerical studies on the water exchange of the Bohai Sea: simulation of the half-life time by dispersion model. J. Ocean Uni. Qingdao 32(4), 519-525 (in Chinese with English abstract).

Other scientific publications

Dahl, K., Josefson, A., Göke, C., Christensen, J., Hansen, J., Markager, S., Rasmussen, M., Dromph, K., Tian T., Wan, Z., Climate Change Impacts on Marine Biodiversity and Habitats in the Baltic Sea and Possible Human Adaptations. Baltadapt Report No.3. Danish Meteorological Institute, Copenhagen, Denmark, Dec. 2012.

Tian, T., Spring bloom dynamics in a coastal marine ecosystem: identification of key processes. Ph.D. thesis, Faculty of Mathematics and Natural Sciences, University of Kiel, Germany, Feb. 2011.

Tian, T., Estimating larval fish growth under size-dependent mortality: a numerical analysis of bias. M.Sc. thesis, Department of Biology, University of Bergen, Norway, Mar. 2006.

Wei, H., Su, J., Tian, T. and Sun, W.X., 2002. Nutrients transport in the Yellow Sea. In: Hong, G.H., Zhang, J. and Chung,C.S. (Eds.), Impact of interface exchange on the biogeochemical processes of the Yellow and East China seas. Bum Shin Press, Seoul, pp. 485-500.


Recent and ongoing projects

Baltadapt (2011-2013) - Funded by the Baltic Sea Region Programme 2007-2013. WP4: to identify and review current existing knowledge and assesses future impacts on natural and human systems as well the Baltic Sea Region's vulnerability to climate change. The three major problem areas are concerned 1) regional climate information, 2) the Baltic Sea ecosystem and 3) the coastal zone (http://www.baltadapt.eu/).

OPerational ECology (2012-2013) - Funded by EU 7th framework programme. WP2: a novel application in using satellite-derived optical depth to construct more realistic underwater light fields in operational biogeochemical model system. WP4: a novel application in seasonal ecological forecasts by using high-resolution interactive coupled ocean-atmosphere models in the Baltic Sea (http://www.marineopec.eu/).

CRES-WB7 (2010-2011) - Supported by Danish Council of Strategic Research: to establish a new coupled atmosphere-ocean climate model system, understanding regional response to high resolution future climate change impact scenarios in the North Sea and the Baltic Sea (http://cres-centre.net/).

MyOcean-WP6 (2009-2012) - Funded by EU 7th framework programme: to establish and validate an operational biogeochemical model system for the North Sea and the Baltic Sea (http://www.myocean.eu.org/).



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