Global, monthly, three-dimensional climate reconstructions by applying data assimilation

"RE-USE" (Reconstructing Climate Using Ensemble Kalman Fitting)

  • Data assimilation
  • Climate reconstruction
  • Paleoclimatology

2008 - 2011: Bachelor of Science in Earth Sciences, Specialization in Meteorology, Eötvös Loránd University, Budapest, Hungary

2012 - 2013: Environmental Sciences, University of Trier, Trier, Germany

2011 - 2014: Master of Science in Meteorology, Specialization in Climate Research, Eötvös Loránd University, Budapest, Hungary

Oct. 2014 – May 2016: Internship, Institute of Bio- and Geosciences, IBG-3: Agrosphere, Research Centre Jülich, Germany

2016 - Present: PhD student in Climate Sciences, Oeschger Centre for Climate Change Research and University of Bern, Bern, Switzerland

Franke, J., Valler, V., Brönnimann, S., Neukom, R., and Jaume Santero, F.: The importance of input data quality and quantity in climate field reconstructions – results from a Kalman filter based paleodata assimilation method, Climate of the Past Discussions, 2019, 1–15, https://doi.org/10.5194/cp-2019-80, 2019.

Valler, V., Franke, J., and Brönnimann, S.: Impact of different estimations of the background-error covariance matrix on climate reconstrucions based on data assimilation, Climate of the Past, 15, 1427–1441, https://doi.org/10.5194/cp-15-1427-2019, 2019.

Neukom, R., Barboza, L. A., Erb, M. P., Shi, F., Emile-Geay, J., Evans, M. N., Franke, J., Kaufman, D. S., Lücke, L., Rehfeld, K., et al.: Consistent multi-decadal variability in global temperature reconstructions and simulations over the Common Era., Nature Geoscience, 12, 643–649, https://doi.org/10.1038/s41561-019-0400-0, 2019.

Ney, P., Graf, A., Bogena, H., Diekkrüger, B., Drüe, C., Esser, O., Heinemann, G., Klosterhalfen, A., Pick, K., Pütz, T., et al.: CO2 fluxes before and after partial deforestation of a Central European spruce forest, Agricultural and Forest Meteorology, 274, 61–74, https://doi.org/10.1016/j.agrformet.2019.04.009, 2019.

Klosterhalfen, A., Graf, A., Brüggemann, N., Drüe, C., Esser, O., González-Dugo, M. P., Heinemann, G., Jacobs, C. M., Mauder, M., Moene, A. F., et al.: Source partitioning of H 2 O and CO 2 fluxes based on high-frequency eddy covariance data: a comparison between study 365 sites, Biogeosciences, 16, 1111–1132, https://doi.org/10.5194/bg-16-1111-2019, 2019.