Dr. Nils Weitzel

Nils ist Postdoc im STACY Projekt und PI des NFDI4Earth Pilot "Propagating complex uncertainties in data cubes". Seine Forschungsinteressen umfassen glazial-interglaziale Klima- und Vegetationsvariabilität, abrupte Klimaveränderungen, statistische Klimarekonstruktionen aus fossilen Pollen und Klimafeldrekonstruktionen mit Bayes'scher Statistik.

• Klimavariabilität
• Nachhaltige Pfade

• Weitzel, N., Andres, H., Baudouin, J.-P., Kapsch, M.-L., Mikolajewicz, U., Jonkers, L., Bothe, O., Ziegler, E., Kleinen, T., Paul, A., and Rehfeld, K.: Towards spatio-temporal comparison of simulated and reconstructed sea surface temperatures for the last deglaciation, Clim. Past, 20, 865–890, doi.org/10.5194/cp-20-865-2024, 2024.

• Laepple, T., Ziegler, E., Weitzel, N., Hébert, R., Ellerhoff, B., Schoch, P., Martrat, B., Bothe, O., Moreno-Chamarro, E., Chevalier, M., Herbert, A., and Rehfeld, K.: Regional but not global temperature variability underestimated by climate models at supradecadal timescales, Nat. Geosci., 16, 958–966, doi.org/10.1038/s41561-023-01299-9, 2023.

• Wider, J., Kruse, J., Weitzel, N., Bühler, J. C., Köthe, U., and Rehfeld, K.: Towards learned emulation of interannual water isotopologue variations in General Circulation Models, Environ. Data Science, 2, e35, doi.org/10.1017/eds.2023.29, 2023.

• Endo, K., Monahan, A. H., Bessac, J., Christensen, H. M., and Weitzel, N.: Robustness of the Stochastic Parameterization of Subgrid-Scale Wind Variability in Sea Surface Fluxes, Monthly Weather Review, 151, 2587–2607, doi.org/10.1175/MWR-D-22-0319.1, 2023.

• Fohlmeister, J., Sekhon, N., Columbu, A., Vettoretti, G., Weitzel, N., Rehfeld, K., Veiga-Pires, C., Ben-Yami, M., Marwan, N., and Boers, N.: Global reorganization of atmospheric circulation during Dansgaard–Oeschger cycles, Proceedings of the National Academy of Sciences, 120, e2302283120, doi.org/10.1073/pnas.2302283120, 2023.

• Chevalier, M., Dallmeyer, A., Weitzel, N., Li, C., Baudouin, J.-P., Herzschuh, U., Cao, X., and Hense, A.: Refining data–data and data–model vegetation comparisons using the Earth mover's distance (EMD), Clim. Past, 19, 1043–1060, doi.org/10.5194/cp-19-1043-2023, 2023.

• Malmierca-Vallet, I., Sime, L. C., and the D–O community members [including Weitzel, N.]: Dansgaard–Oeschger events in climate models: review and baseline Marine Isotope Stage 3 (MIS3) protocol, Clim. Past, 19, 915–942, doi.org/10.5194/cp-19-915-2023, 2023.

• Axen, S.D., Gessner, A., Sommer, C., Weitzel, N., and Tejero-Cantero, A.: Spatiotemporal modeling of European paleoclimate using doubly sparse Gaussian processes, 2022 NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems, doi.org/10.48550/arXiv.2211.08160, 2022.

• Weitzel, N., Hense, A., Herzschuh, U., Böhmer, T., Cao, X., and Rehfeld, K.: A state estimate of Siberian summer temperature and moisture availability during the Last Glacial Maximum combining pollen records and climate simulations. doi.org/10.31223/X59P9H, preprint, 2022.

• Dallmeyer, A., Kleinen, T., Claussen, M., Weitzel, N., Cao, X., and Herzschuh, U.: The deglacial forest conundrum, Nat Commun, 13, 6035, doi.org/10.1038/s41467-022-33646-6, 2022.

• Adam, M., Weitzel, N., and Rehfeld, K.: Identifying Global-Scale Patterns of Vegetation Change During the Last Deglaciation from Paleoclimate Networks, Paleoceanography and Paleoclimatology, 36, e2021PA004265, doi.org/10.1029/2021PA004265, 2021.

• Weitzel, N., Brierley, C., Bühler, J., Chevalier, M., Ellerhoff, B., Skiba, V., and Rehfeld, K.: Beyond paleoclimate ping pong, Past Glob. Chang. Mag., 29(2), 107, doi.org/10.22498/pages.29.2.107, 2021.

• Bessac, J., Christensen, H. M., Endo, K., Monahan, A. H., and Weitzel, N.: Scale‐aware space‐time stochastic parameterization of subgrid‐scale velocity enhancement of sea surface fluxes. Journal of Advances in Modeling Earth Systems, 13, e2020MS002367, doi.org/10.1029/2020MS002367, 2021.

• Weitzel, N.: Climate field reconstructions from pollen and macrofossil syntheses using Bayesian hierarchical models. Bonn, Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn, Online Version in bonndoc, 2020.

• Khider, D., Emile‐Geay, J., McKay, N.P., Gil, Y., Garijo, D., Ratnakar, V., ... Weitzel, N., ...: PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data. Paleoceanography and Paleoclimatology, 34, 1570-1596, doi.org/10.1029/2019PA003632, 2019.

• Lu, F., Weitzel, N., and Monahan, A. H.: Joint state-parameter estimation of a nonlinear stochastic energy balance model from sparse noisy data. Nonlin. Processes Geophys., 26, 227–250, doi.org/10.5194/npg-26-227-2019, 2019.

• Weitzel, N., Hense, A., and Ohlwein, C.: Combining a pollen and macrofossil synthesis with climate simulations for spatial reconstructions of European climate using Bayesian filtering. Clim. Past, 15, 1275–1301, doi.org/10.5194/cp-15-1275-2019, 2019.

• Bessac, J., Monahan, A.H., Christensen, H.M., and Weitzel, N.: Stochastic Parameterization of Subgrid-Scale Velocity Enhancement of Sea Surface Fluxes. Mon. Wea. Rev., 147, 1447–1469, doi.org/10.1175/MWR-D-18-0384.1, 2019.

• Weitzel, N., Wagner, S., Sjolte, J., Klockmann, M., Bothe, O., Andres, H., Tarasov, L., Rehfeld, K., Zorita, E., Widmann, M., Sommer, P., Schädler, G., Ludwig, P., Kapp, F., Jonkers, L., Garcia-Pintado, J., Fuhrmann, F., Dolman, A., Dallmeyer, A., and Brücher, T.: Diving into the Past: A Paleo Data–Model Comparison Workshop on the Late Glacial and Holocene. Bull. Amer. Meteor. Soc., 100, ES1–ES4, doi.org/10.1175/bams-d-18-0169.1, 2019.

• Andres, H., Bothe, O., Rehfeld, K., Wagner, S., Weitzel, N., and Zorita, E.: An integrated proxy and simulation data initiative for the Holocene and the last deglaciation. Past Global Changes Magazine, 26/2, 85, 2018, doi.org/10.22498/pages.26.2.85, 2019.

• ORCID