EGU General Assembly 2007
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Nonlinear Processes in Geosciences
Nonlinear Processes:in Geosciences
NP2 Empirical Modeling
NP3 Scale, Scaling and Nonlinear Variability
NP4 Nonlineaar time-series analysis
NP5 Predictability
NP6 Turbulence and Nonlinear Waves
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Isotopes in Geosciences: Instrumentation and Applications
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Nonlinear Processes in Geosciences
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  List of Accepted Contributions - CL20 Probabilistic Forecasts of Climate and the Potential Impacts of Climate Change (co-listed in NP & ERE)

Please, click Abstract Number to find the corresponding abstract as PDF file; if necessary, download Adobe Acrobat Reader 4.0 first to open the file. Any abstract may be freely reproduced for non-commercial, scientific purposes; however, the moral right of the author(s) to be identified as the author(s) of such abstracts is asserted.

Cuellar, M.C.; Lopez, A.
Extraction of uncertain information and potential impacts from a GCMs Physical Ensemble.

Simonis, D.; Min, S.-K.; Hense, A.
Generation of Probabilistic Climate Change Projections by Bayesian Model Averaging

Buser, C.; Kuensch, H.R.; Schaer, C.
Uncertainties in predicting climate distributions: A Bayesian ensemble method

Piani, C.; Sanderson, B.; Giorgi, F.; Frame, D.J.; Allen, M.R.; Stainforth, D.
Constraining predictions of regional climate change

Annan, J. D.; Hargreaves, J. C.
Can we believe in high climate sensitivity?

Annan, J. D.; Hargreaves, J. C.
Multimodel ensemble methods for climate forecasting

Goodess, CM; Harpham, C; Jones, PD
Linking a stochastic weather generator with regional climate model output in a probabilistic framework

Smith, L.A.; Tredger, E.; Penzer, J.; Stainforth, D.
Urns and experimental design in climate science

Keller, K.; Miltich, L.I.; Robinson, A.; Tol, R.S.J
How overconfident are current projections of anthropogenic carbon dioxide emissions?

Schneider von Deimling, T; Held, H; Ganopolski, A; Rahmstorf, S
Improving climate change predictions by the use of paleo-data?

Tredger, E.; Smith, L.A.; Stainforth, D.
The impact of initial conditions in climate modelling

Knutti, R.
Quantification of Uncertainty in global Temperature Projections over the twenty-first Century: A Synthesis of multiple Models and Methods

Smith, L.A.
Relating the diversity in our models to the uncertainty in our future

Forest, C.; Sokolov, A.; Stone, P.; Stott, P.
Estimated PDFs of climate system properties and ensemble predictions for 21st century climate change

Weisheimer, A.; Palmer, T.N.; Doblas-Reyes, F.J.; Rodwell, M.; Jung, T.
Reliability of Climate-Change Projections of Precipitation: Towards "Seamless" Climate Prediction

Stainforth, D. A.; Tredger, E.; Smith, L.A.
Sources of Uncertainty in Model Based Climate Forecasts

Broecker, J.; Smith, L. A.
Software for Constructing Forecasts from Ensembles: The EMTOOL

Faull, N
Ensemble climate prediction with coupled climate models

Fowler, H.J.; Tebaldi, C.; Blenkinsop, S.; Smith, A.P.
Linking probabilistic climate scenarios with downscaling methods for impact studies

Frame, D; Aina, T; Christensen, C; Faull, N; Piani, C; Spicer, R; Stainforth, D; Allen, M; Yamazaki, K; Knight, S
21st Century climate change in

Mehrotra, R; Sharma, A
Impact of atmospheric moisture in a rainfall downscaling framework for catchment scale climate change impact assessment

O'Neill, B.; Sanderson, W.
Uncertainty and learning in population and emissions projections

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