Annette Christine Möller
annette.moeller@uni-bielefeld.dehttps://orcid.org/0000-0001-9386-1691
PEVZ-ID
19 Publikationen
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981385Demaeyer, J., Bhend, J., Lerch, S., Primo, C., Van Schaeybroeck, B., Atencia, A., Ben Bouallegue, Z., Chen, J., Dabernig, M., Evans, G., et al. (2023). The EUPPBench postprocessing benchmark dataset v1.0. Earth System Science Data 15, 2635-2653.PUB | DOI | WoS
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959842Lerch, S., Baran, S., Möller, A. C., Groß, J., Schefzik, R., Hemri, S., and Graeter, M. (2020). Simulation-based comparison of multivariate ensemble post-processing methods. Nonlinear Processes in Geophysics 27, 349-371.PUB | PDF | DOI | Download (ext.) | WoS | Preprint
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959843Möller, A. C., and Groß, J. (2020). Probabilistic temperature forecasting with a heteroscedastic autoregressive ensemble postprocessing model. Quarterly Journal of the Royal Meteorological Society 146, 211-224.PUB | PDF | DOI | Download (ext.) | WoS | Preprint
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2020 | Datenpublikation | PUB-ID: 2959845Lerch, S., Baran, S., Möller, A. C., Groß, J., Schefzik, R., Hemri, S., and Graeter, M. (2020). Supplementary material to "Simulation-based comparison of multivariate ensemble post-processing methods". Copernicus GmbH.PUB | Dateien verfügbar | DOI
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2020 | Zeitungsartikel | Veröffentlicht | PUB-ID: 2960084Baran, S., and Möller, A. C. 01.04.2020 Various Approaches to Statistical Calibration of Ensemble Weather Forecasts. ERCIM News, 30-31.PUB | Download (ext.)
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2019 | Wissenschaftliche Software | PUB-ID: 2960075Groß, J., and Möller, A. C. (2019). ensAR - Autoregressive postprocessing methods for ensemble forecasts. GitHub.PUB | Dateien verfügbar
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2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2960074Möller, A. C., and Schefzik, R. (2018). “Ensemble Postprocessing Methods Incorporating Dependence Structures” in Statistical Postprocessing of Ensemble Forecasts, Vannitsem, S., Wilks, D., and Messner, J. eds. 1st ed. (Elsevier), 362.PUB
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960066Baran, S., and Möller, A. C. (2017). Bivariate ensemble model output statistics approach for joint forecasting of wind speed and temperature. Meteorology and Atmospheric Physics 129, 99-112.PUB | DOI | Download (ext.) | WoS
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960067Möller, A. C., Tutz, G., and Gertheiss, J. (2016). Random forests for functional covariates. Journal of Chemometrics 30, 715-725.PUB | DOI | Download (ext.) | WoS
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960068Möller, A. C., and Groß, J. (2016). Probabilistic temperature forecasting based on an ensemble autoregressive modification. Quarterly Journal of the Royal Meteorological Society 142, 1385-1394.PUB | DOI | Download (ext.) | WoS
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960070Baran, S., and Möller, A. C. (2015). Joint probabilistic forecasting of wind speed and temperature using Bayesian model averaging. Environmetrics 26, 120-132.PUB | DOI | Download (ext.) | WoS
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960069Hasenbeck, F., Reiser, D., Ghendrih, P., Marandet, Y., Tamain, P., Möller, A. C., and Reiter, D. (2015). Multiscale Modeling Approach for Radial Particle Transport in Large-scale Simulations of the Tokamak Plasma Edge. Procedia Computer Science 51, 1128-1137.PUB | DOI | Download (ext.)
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960071Möller, A. C., Lenkoski, A., and Thorarinsdottir, T. L. (2013). Multivariate probabilistic forecasting using ensemble Bayesian model averaging and copulas. Quarterly Journal of the Royal Meteorological Society 139, 982-991.PUB | DOI | Download (ext.) | WoS