Mathematical and Statistical Approaches to Climate Modelling and Prediction

Our best estimates of future climate are based on the use of complex computer models that do not explicitly resolve the wide variety of spatio-temporal scales making up Earth's climate system. The non-linearity of the governing physical processes allows energy transfer between different scales, and many aspects of this complex behaviour can be represented by stochastic models. However, the theoretical basis for so doing is far from complete. Many uncertainties remain in predictions derived from climate models, yet governments are increasingly reliant on model predictions to inform mitigation and adaptation strategies. An overarching aim of climate scientists is to reduce the uncertainty in climate predictions and produce credible assessments of model accuracy. This programme focuses on two key themes that both require the close collaboration of mathematicians, statisticians and climate scientists in order to improve climate models and the interpretation of their output. Read more at http://www.newton.ac.uk/programmes/CLP/index.html

Climate Change Question Time: The scientific uncertainties and their implications

Climate Change Question Time: Panel Discussion Wednesday 24 November 2010, 14:30-16:00

12-21
01:30:34

Statistical processing for ensembles of numerical weather prediction model

Gneiting, T (Heidelberg) Tuesday 21 December 2010, 10:00-11:00

12-21
01:11:44

Climate Change Question Time: Estimating and reducing uncertainty in climate prediction: key findings from the Newton Institute Programme

Tim Palmer (University of Oxford, and the European Centre for Medium-Range Weather Forecasts) Wednesday 24 November 2010, 14:05-14:30

12-17
36:11

Climate Change Question Time: Policy in the face of the uncertainties

Climate Change Question Time: Panel Discussion Wednesday 24 November 2010, 16:30-18:00

12-10
01:31:47

Climate Investments optimized under uncertainty

Held, H (PIK) Thursday 09 December 2010, 16:10-17:00

12-10
52:48

Engagement with business- What are the barriers to use of climate data, where should future research be taken?

Whitaker, D (Knowledge Transfer Network) Thursday 09 December 2010, 15:30-16:10

12-10
43:40

What does the agricultural research-for-development community need from climate and weather data?

Thornton, P (Copenhagen) Thursday 09 December 2010, 12:00-12:30

12-10
28:06

The importance of numerical time-stepping errors

Williams, P (Reading) Wednesday 08 December 2010, 15:30-16:10

12-09
46:48

Bayesian estimation of the climate sensitivity based on a simple climate model fitted to global temperature observations

Aldrin, M (Norwegian Computing Centre) Wednesday 08 December 2010, 12:00-12:30

12-09
36:49

The Community Integrated Assessment System, CIAS, and its user interface CLIMASCOPE

Warren, R (East Anglia) Wednesday 08 December 2010, 11:30-12:00

12-09
31:58

Homogenized Hybrid Particle Filters in Multi-scale Environments

Namachchivaya, NS (Illinois at Urbana-Champaign) Wednesday 08 December 2010, 10:30-11:00

12-09
30:56

New Newtonian Alchemy: Turning Noise into Signal

Cox, P (Exeter) Wednesday 08 December 2010, 09:30-10:30

12-09
01:02:59

Adventures in Emulation

Challenor, P (National Oceanography Centre) Tuesday 07 December 2010, 17:00-17:30

12-09
27:22

Rewarding strength, discounting weakness: combining information from multiple climate simulators

Chandler, R (UCL) Tuesday 07 December 2010, 16:30-17:00

12-09
33:53

Grand Challenges in Probabilistic Climate Prediction

Stephenson, D (Exeter) Tuesday 07 December 2010, 14:00-15:00

12-08
58:51

Assessing climate uncertainty: models, meaning and methods

Goldstein, M (Durham) Tuesday 07 December 2010, 11:40-12:30

12-08
54:42

A statistical emulator for HadCM3

Rougier, J (Bristol) Tuesday 07 December 2010, 11:00-11:40

12-08
39:51

Climate modelling at Quaternary time scales

Crucifix, M (Universite Catholique de Louvain) Tuesday 07 December 2010, 09:30-10:30

12-08
01:01:40

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