climateprediction.net predicting 21st century climate...climateprediction.net is an ambitious new...
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climateprediction.netPredicting 21st Century Climate
Sylvia Knight, Myles Allen, Charlotte Calnan, Peter Campbell, Jonathan Gray, June Haighton, John Harris, Jules Hoult, Andrew Hunt, Robert Lang, Angela Melamed, Hannah Pomroy, David Sang and Mary Whitehouse , … and about 100,000 other people worldwide!
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• Introduction to the climateprediction.net project and progress so far
• Climateprediction.net in schools – teaching resources and how to join in
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The Day After Tomorrow
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Climateprediction.net is an ambitious new scientific experiment aiming to produce the most comprehensive probability based forecast of 21st Century climate ever
attempted.
The experiment should give policy makers a better scientific basis for
addressing one of the biggest potential global problems of the 21st
century.
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climateprediction.net• The Goals:
– To harness the power of idle PCs to help quantify uncertainty in predictions of the 21st century climate.
– To improve public understanding of the nature of uncertainty in climate prediction.
• The Method:– Invite the public to download a full resolution, 3D climate
model and run it locally on their PC.– Use each PC to run a single member of a massive, perturbed
physics ensemble.– Provide visualization software and educational packages to
maintain interest and facilitate school participation etc.
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With funding from the Nuffield Foundation
Materials for ….
Key Stage 3/4 Geography21st Century ScienceKey Stage 3/4 MathsKey Stage 3/4 science ….
CPDN in Schools
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”Climate is what we expect, weather is what we get”
654321
tally
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“In the light of new evidence and taking into account the remaining uncertainties,most of the observed warming over the last 50 years is likely to have been due to the increase in greenhouse gas concentrations”
Source: IPCC Third Assessment Report, 2001
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Source: IPCC Third Assessment Report
Atmospheric Carbon Dioxide Concentration
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Source: IPCC Third Assessment Report, 2001
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Uncertainties in climate scenarios
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We can produce very detailed predictions of climate change with no idea of how reliable they
might be
2080 temperature change (K)
2080 precipitation change (%)
Source: Mat Collins, Hadley Centre
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How do we quantify the risk of this happening (again)?
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Excess mortality rates in early August 2003 indicate 22,000 - 35,000 heat-related deaths
Daily mortality in Baden-Württemberg
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Was the hot summer of 2003 due to climate change?
Anthropogenic emissions of greenhouse gases have doubled the risk of a summer like 2003
By 2050, it could be that hot every other summer
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Sources of UncertaintyBasic sources of uncertainty in climate forecasts:• Incomplete knowledge of the initial state of the system • Uncertainty in future forcings• Uncertain models - poor/incomplete representation of the physical
processes that govern the climate
The climateprediction.net approach to forecast uncertainty• climateprediction.net targets uncertainty in the initial state of the
atmosphere by running the same model several (~10) times with different initial states (initial condition ensembles)
• climateprediction.net targets uncertainty in future forcings by running many different solar, sulphate and greenhouse scenarios (forcingensembles)
• climateprediction.net targets model uncertainty by altering the model’s physics (perturbed physics ensembles)
To systematically explore model uncertainty requires large numbers of simulations, due to the non-linear interaction of parameters. Hence the need for climateprediction.net to carry out such an ensemble.
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Each Model is Unique
Standard model set-up
Perturbedphysics
ensemble
Initialconditionensemble
Boundary Conditions (forcing)
ensemble Unique m
odel
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Experiment DesignExptsExpts 1: GCM with 1: GCM with thermodynamic oceanthermodynamic ocean. (HadSM3). (HadSM3)
Aim: To identify parameter combinations which have little effectAim: To identify parameter combinations which have little effect on the on the mean climate but a large effect on climate sensitivity.mean climate but a large effect on climate sensitivity.Evaluate perturbations to atmosphere/ocean fluxes.Evaluate perturbations to atmosphere/ocean fluxes.
15 yr spin-up 15 yr, base case CO2
15 yr, 2 x CO2
Derived fluxes
Diagnostics from final 8 yrs.
Calibration
Control
Double CO2
ExptExpt 2: 2: Fully coupled modelFully coupled model. (HadCM3 . (HadCM3 -- the “coupled” model)the “coupled” model)Distribute preDistribute pre--packaged simulations of 1950 packaged simulations of 1950 --2050.2050.DownweightDownweight or eliminate runs which compare badly with observations.or eliminate runs which compare badly with observations.ReRe--distribute the surviving versions to simulate 2000distribute the surviving versions to simulate 2000--2050.2050.
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How to Participate
1. Participants download their own unique model at www.climateprediction.net.
2. The download, 8MB, consists of the model as well as a visualisation package.
3. The model runs in the background whenever the computer is switched on, and takes a minimum of 4 weeks, depending on computer specification.
4. While the model is running, participants are able to watch the climate develop in their own unique simulation of the world.
5. On completion, the model returns approximately 5MB of data to climateprediction.net scientists.
6. A summary of the results is displayed on the project web pages, so that students can compare their results with others from the school.
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Since September 2003, 105,000 participants in 142 countries have completed 75,000 45 -year GCM runscomputed 5 million model years donated 9,000 years of computing time
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Computers per Capita
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Experiment 1
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Results so Far
•1000 bigger ensemble than has ever been achieved so far
•Sampled more extreme sensitivities than have ever been seen before
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The Website
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Client and Simple Visualisation
Watch the modelled climate change over hours, days, weeks…
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Student Visualisation Interface
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Warm frontWarm front
Good day tostay in bed
Treacherousdriving
conditions
11th-18th December 1828, London
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Schools Materials• 14 +• U.K. Syllabus specific materials• Reproduce existing materials in a format suitable
for classroom teaching• Easy to use for teachers• Encourage schools to join the experiment• Unique, distinct and genuinely useful• Climate, Climate change, Models and Prediction
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For younger students…
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For older students…Variety of simple climate models – involving dice, excel, bottles of water, calculators..
Discussion excercises, role playing
Investigating weather and climate
Analysis of numbers, data sets..
Exploring climateprediction.net results
The Earth
incomingsolar radiation
outgoingradiation
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http://www.climateprediction.net/schools
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Make a Weather Forecast!
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Climatic variations over time and space
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John
http://www.uwm.edu/~roebber/evo.gif
Written for Climateprediction.net by John Harris, Head of Geography, Radley College July 2004
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Resources
MJ HarrisAugust 2004
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Climatic changerisks and responses
MJ HarrisAugust 2003
Aim: to understand the risks of climatic change and possible responses.
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Should Russia Have Signed the Kyoto Protocol?
The Kyoto protocol, established in 1997, will set targets for greenhouse gas emissions, if the countries responsible for over 55% of global emissions agree.Australia and the U.S.A. refused to sign the protocol. It was therefore critical that Russia, which emits 17% of the world’s emissions of Greenhouse Gases, should sign the protocol. Otherwise it would not be valid.– Background information– Useful News Reports– Other evidence
ExerciseFor Russia, the UK, the USA and China, consider all the reasons why, or
why not, the country may or may not want to sign the protocol.
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World Energy Summit
Role Play Exercise
MJ Harris
August 2004
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The Day After Tomorrow – scientific truth, political agenda or just a disaster movie?
- Background information- Film Reviews- Surveys of public opinion
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• Participate in a cutting-edge scientific experiment, using the Met Office’s state-of-the-art forecasting model on school and home computers
• Unique resource for project work and extension activities in geography, science, geography, ICT, maths….• Practical exploration of models, climate, climate prediction and climate change
• Ideal opportunity to embed ICT in teaching
The materials do not all rely on participation in the experiment
• Compete and interact with schools in New Zealand
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Free to the first 10 teachers to send me a (completed) feedback form…
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This talk will be available at http://www.climateprediction.net/science/pubs/GA_2005.pdf
if you’d like to look at anything again!
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