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,, 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,, 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,, 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,, 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,, 2019.