Articles | Volume 7, issue 1
https://doi.org/10.5194/gmd-7-453-2014
https://doi.org/10.5194/gmd-7-453-2014
Development and technical paper
 | 
28 Feb 2014
Development and technical paper |  | 28 Feb 2014

Ensemble initialization of the oceanic component of a coupled model through bred vectors at seasonal-to-interannual timescales

J. Baehr and R. Piontek

Related authors

Development of a wind-based storm surge model for the German Bight
Laura Schaffer, Andreas Boesch, Johanna Baehr, and Tim Kruschke
Nat. Hazards Earth Syst. Sci., 25, 2081–2096, https://doi.org/10.5194/nhess-25-2081-2025,https://doi.org/10.5194/nhess-25-2081-2025, 2025
Short summary
Causal relationships and predictability of the summer East Atlantic teleconnection
Julianna Carvalho-Oliveira, Giorgia Di Capua, Leonard F. Borchert, Reik V. Donner, and Johanna Baehr
Weather Clim. Dynam., 5, 1561–1578, https://doi.org/10.5194/wcd-5-1561-2024,https://doi.org/10.5194/wcd-5-1561-2024, 2024
Short summary
Improving seasonal predictions of German Bight storm activity
Daniel Krieger, Sebastian Brune, Johanna Baehr, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 1539–1554, https://doi.org/10.5194/nhess-24-1539-2024,https://doi.org/10.5194/nhess-24-1539-2024, 2024
Short summary
Skillful decadal prediction of German Bight storm activity
Daniel Krieger, Sebastian Brune, Patrick Pieper, Ralf Weisse, and Johanna Baehr
Nat. Hazards Earth Syst. Sci., 22, 3993–4009, https://doi.org/10.5194/nhess-22-3993-2022,https://doi.org/10.5194/nhess-22-3993-2022, 2022
Short summary
El Niño–Southern Oscillation (ENSO) predictability in equilibrated warmer climates
Yiyu Zheng, Maria Rugenstein, Patrick Pieper, Goratz Beobide-Arsuaga, and Johanna Baehr
Earth Syst. Dynam., 13, 1611–1623, https://doi.org/10.5194/esd-13-1611-2022,https://doi.org/10.5194/esd-13-1611-2022, 2022
Short summary

Related subject area

Climate and Earth system modeling
Implementing deep soil and dynamic root uptake in Noah-MP (v4.5): impact on Amazon dry-season transpiration
Carolina A. Bieri, Francina Dominguez, Gonzalo Miguez-Macho, and Ying Fan
Geosci. Model Dev., 18, 3755–3779, https://doi.org/10.5194/gmd-18-3755-2025,https://doi.org/10.5194/gmd-18-3755-2025, 2025
Short summary
Reducing time and computing costs in EC-Earth: an automatic load-balancing approach for coupled Earth system models
Sergi Palomas, Mario C. Acosta, Gladys Utrera, and Etienne Tourigny
Geosci. Model Dev., 18, 3661–3679, https://doi.org/10.5194/gmd-18-3661-2025,https://doi.org/10.5194/gmd-18-3661-2025, 2025
Short summary
FLAME 1.0: a novel approach for modelling burned area in the Brazilian biomes using the maximum entropy concept
Maria Lucia Ferreira Barbosa, Douglas I. Kelley, Chantelle A. Burton, Igor J. M. Ferreira, Renata Moura da Veiga, Anna Bradley, Paulo Guilherme Molin, and Liana O. Anderson
Geosci. Model Dev., 18, 3533–3557, https://doi.org/10.5194/gmd-18-3533-2025,https://doi.org/10.5194/gmd-18-3533-2025, 2025
Short summary
SURFER v3.0: a fast model with ice sheet tipping points and carbon cycle feedbacks for short- and long-term climate scenarios
Victor Couplet, Marina Martínez Montero, and Michel Crucifix
Geosci. Model Dev., 18, 3081–3129, https://doi.org/10.5194/gmd-18-3081-2025,https://doi.org/10.5194/gmd-18-3081-2025, 2025
Short summary
NMH-CS 3.0: a C# programming language and Windows-system-based ecohydrological model derived from Noah-MP
Yong-He Liu and Zong-Liang Yang
Geosci. Model Dev., 18, 3157–3174, https://doi.org/10.5194/gmd-18-3157-2025,https://doi.org/10.5194/gmd-18-3157-2025, 2025
Short summary

Cited articles

Cai, M., Kalnay, E., and Toth, Z.: Bred Vectors of the Zebiak-Cane Model and their potential application to ENSO Predictions, J. Climate, 16, 40–56, 2003.
Cheng, Y., Tang, Y., Jackson, P., Chen, D., and Deng, Z.: Ensemble construction and verification of the probabilistic ENSO Prediction in the LDEO5 Model, J. Climate, 23, 5476–5497, 2010.
Du, H., Doblas-Reyes, F. J., García-Serrano, J., Guemas, V., Soufflet, Y., and Wouters, B.: Sensitivity of decadal predictions to the initial atmospheric and oceanic perturbations, Clim. Dynam., 7–8, 2013–2023, 2012.
Epstein, E. S.: Stochastic dynamic prediction, Tellus, 21, 739–759, 1969.
Hamill, T. M.: Interpretation of Rank Histograms for verifying ensemble forecasts, Mon. Weather Rev., 129, 550–560, https://doi.org/10.1175/1520-0493(2001)129<0550:IORHFV>2.0.CO;2, 2001.
Download
Share