Articles | Volume 15, issue 15
https://doi.org/10.5194/acp-15-8631-2015
https://doi.org/10.5194/acp-15-8631-2015
Research article
 | 
04 Aug 2015
Research article |  | 04 Aug 2015

Improvement of climate predictions and reduction of their uncertainties using learning algorithms

E. Strobach and G. Bel

Related authors

Earth system model parameter adjustment using a Green's functions approach
Ehud Strobach, Andrea Molod, Donifan Barahona, Atanas Trayanov, Dimitris Menemenlis, and Gael Forget
Geosci. Model Dev., 15, 2309–2324, https://doi.org/10.5194/gmd-15-2309-2022,https://doi.org/10.5194/gmd-15-2309-2022, 2022
Short summary

Related subject area

Subject: Dynamics | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Technical note: Exploring parameter and meteorological uncertainty via emulation in volcanic ash atmospheric dispersion modelling
James M. Salter, Helen N. Webster, and Cameron Saint
Atmos. Chem. Phys., 24, 6251–6274, https://doi.org/10.5194/acp-24-6251-2024,https://doi.org/10.5194/acp-24-6251-2024, 2024
Short summary
Role of the Indian Ocean basin mode in driving the interdecadal variations of summer precipitation over the East Asian monsoon boundary zone
Jing Wang, Yanju Liu, Fei Cheng, Chengyu Song, Qiaoping Li, Yihui Ding, and Xiangde Xu
Atmos. Chem. Phys., 24, 5099–5115, https://doi.org/10.5194/acp-24-5099-2024,https://doi.org/10.5194/acp-24-5099-2024, 2024
Short summary
Extreme ozone episodes in a major Mediterranean urban area
Jordi Massagué, Eduardo Torre-Pascual, Cristina Carnerero, Miguel Escudero, Andrés Alastuey, Marco Pandolfi, Xavier Querol, and Gotzon Gangoiti
Atmos. Chem. Phys., 24, 4827–4850, https://doi.org/10.5194/acp-24-4827-2024,https://doi.org/10.5194/acp-24-4827-2024, 2024
Short summary
Wintertime extreme warming events in the high Arctic: characteristics, drivers, trends, and the role of atmospheric rivers
Weiming Ma, Hailong Wang, Gang Chen, Yun Qian, Ian Baxter, Yiling Huo, and Mark W. Seefeldt
Atmos. Chem. Phys., 24, 4451–4472, https://doi.org/10.5194/acp-24-4451-2024,https://doi.org/10.5194/acp-24-4451-2024, 2024
Short summary
Influence of lower-tropospheric moisture on local soil moisture–precipitation feedback over the US Southern Great Plains
Gaoyun Wang, Rong Fu, Yizhou Zhuang, Paul A. Dirmeyer, Joseph A. Santanello, Guiling Wang, Kun Yang, and Kaighin McColl
Atmos. Chem. Phys., 24, 3857–3868, https://doi.org/10.5194/acp-24-3857-2024,https://doi.org/10.5194/acp-24-3857-2024, 2024
Short summary

Cited articles

Buser, C. M., Künsch, H. R., Lüthi, D., Wild, M., and Schär, C.: Bayesian multi-model projection of climate: bias assumptions and interannual variability, Clim. Dynam., 33, 849–868, 2009.
Buser, C., Künsch, H., and Schär, C.: Bayesian multi-model projections of climate: generalization and application to ENSEMBLES results, Clim. Res., 44, 227–241, 2010.
Cesa-Bianchi, N. and Lugosi, G.: Prediction, Learning, and Games, Cambridge University Press, Cambridge, UK, 2006.
Chakraborty, A. and Krishnamurti, T. N.: Improving global model precipitation forecasts over India using downscaling and the FSU superensemble. Part II: Seasonal climate, Mon. Weather Rev., 137, 2736–2757, 2009.
Collins, M.: Ensembles and probabilities: a new era in the prediction of climate change, Philos. T. R. Soc. A, 365, 1957–1970, 2007.
Download
Altmetrics
Final-revised paper
Preprint