Dr. Nils Weitzel

Nils ist Postdoc im STACY Projekt und PI des NFDI4Earth Pilot Propagating complex uncertainties in data cubes. Nach dem Studium der Mathematik und Geographie promovierte er in Meteorologie an der Universität Bonn. Das Thema seiner Arbeit war die Rekonstruktion von Klimafeldern aus Vegetationsproxies mit Bayes'schen hierarchischen Modellen. 2019 kam er in die STACY Gruppe um an statistischen Analysen von Paläoklima-Proxies und Modell-Daten-Vergleichen zu arbeiten. Die Ziele seiner Forschung sind die Verbesserung unseres Verständnisses der Klimavariabilität und die Ableitung von statistischen Beziehungen aus dem vergangenen Klima zur Verbesserung von zukünftigen Projektionen des Erdsystems.

• Zeitliche und räumliche Struktur von Klimavariabilität

• Glazial-interglaziale Klima- und Vegetationsvariabilität

• Abrupte Klimaveränderungen

• Statistische Klimarekonstruktionen aus fossilen Pollen

• Klimafeldrekonstruktionen mit Bayes'schen hierarchischen Modellen

• Klimavariabilität
• Nachhaltige Pfade

• ORCID

• Research Gate

2024

• Baudouin, J.-P., Weitzel, N., May, M., Jonkers, L., Dolman, A. M., and Rehfeld, K.: Testing the reliability of global surface temperature reconstructions of the last glacial cycle, preprint (under review in Clim. Past), doi.org/10.5194/egusphere-2024-1387, 2024.

• Braschoss, L., Weitzel, N., Baudouin, J.-P., and Rehfeld, K.: State-dependency of dynamic and thermodynamic contributions to effective precipitation changes, preprint (submitted to Journal of Climate), doi.org/10.31223/X51X35, 2024.

• 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.

• Ziegler, E., Weitzel, N., Baudouin, J.-P., Kapsch, M.-L., Mikolajewicz, U., Gregoire, L., Ivanovic, R., Valdes, P. J., Wirths, C., and Rehfeld, K.: Patterns of changing surface climate variability from the Last Glacial Maximum to present in transient model simulations, preprint (under review in Clim. Past), doi.org/10.5194/egusphere-2024-1396, 2024.

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.

• 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.

• 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.

• Malmierca-Vallet, I., Sime, L. C., and the D–O community members [incl. 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.

• 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.

2022

• Adam, M., Ellerhoff, B., Baudouin, J.-P., and Weitzel, N.: PTBoxProxydata: The Proxy Data Manager for a consistent, efficient and reusable data workflow for (paleo) time series within the PaleoToolBox (PTBox), R package version 0.2.2, github.com/paleovar/ptboxproxytools, 2022.

• Axen, S. D., Gessner, A., Sommer, C., Weitzel, N., and Tejero-Cantero, Á.: 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.

• 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.

• Weitzel, N., Ellerhoff, B., and Adam, M.: PTBoxProxytools: PTBox proxy tools for time series processing and analysis, R package version 0.1.1, github.com/paleovar/ptboxproxydata, 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, preprint, doi.org/10.31223/X59P9H, 2022.

2021

• Adam, M., Weitzel, N., and Rehfeld, K.: Identifying Global‐Scale Patterns of Vegetation Change During the Last Deglaciation From Paleoclimate Networks, Paleoceanog and Paleoclimatol, 36, e2021PA004265, doi.org/10.1029/2021PA004265, 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, J. Adv. Model. Earth Syst., 13, doi.org/10.1029/2020MS002367, 2021.

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

2020

• Weitzel, N.: Climate field reconstructions from pollen and macrofossil syntheses using Bayesian hierarchical models. Bonn, Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn, nbn-resolving.org/urn:nbn:de:hbz:5-56875, 2020.

2019

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

• 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. Paleoceanog and Paleoclimatol, 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.

• 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., García-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, Bulletin of the American Meteorological Society, 100, ES1–ES4, doi.org/10.1175/BAMS-D-18-0169.1, 2019.

2018

• 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, PAGES Mag, 26, 85–85, doi.org/10.22498/pages.26.2.85, 2018.