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Latest developments in climate
modelling:
Vicky Pope
October 2013

© Crown copyright Met Office
Seamless prediction
Climate

Decadal

Confidence
boundary

Analysis of past weather
observations to manage
climate risks
Eg. Agriculture: this informs
crop choice and planting
date to optimise yields and
minimise crop failure risk. Predicting routine and
hazardous weather
conditions and
disseminating tailored and
timely warnings.

Monthly to decadal
predictions informs
probability of drought, cold,
heat.
Contingency planners,
national and international
humanitarian response,
government and private
infrastructure investment

Public, emergency
response, international
disaster risk reduction
© Crown copyright Met Office

Seasonal

1-month

1-week

Days

Hours

Now

Past climate

Supporting decision making

Forecast lead-time

Global and regional climate
predictions.
Informs mitigation policy
and adaptation choices.
Impacts on water resurces,
heat stress, crops,
infrastructure.
The big picture:
Models for global climate change and
mitigation

© Crown copyright Met Office
Climate models
Used in IPCC AR4 2007
Climate models
Integrated Assessment Models
Impact models

People

© Crown copyright Met Office

Emissions

Atmospheric
Composition

Climate
Change

Impacts
Earth System Models
Used by some in IPCC AR5 2013
Feedbacks

People

© Crown copyright Met Office

Emissions

Atmospheric
Composition

Climate
Change

Impacts
The global carbon cycle...
Why is it so important?

© Crown copyright Met Office
Vegetation absorbs and releases
carbon
• “photosynthesis” absorbs
CO2 from the atmosphere,
and turns it into carbon in
the living vegetation

© Crown copyright 2007

CO2
Vegetation absorbs and releases
carbon
• “photosynthesis” absorbs
CO2 from the atmosphere,
and turns it into carbon in
the living vegetation
• The plant’s metabolism
releases some back to the
atmosphere
• “plant respiration”

© Crown copyright 2007

CO2

CO2
Vegetation absorbs and releases
carbon
• “photosynthesis” absorbs
CO2 from the atmosphere,
and turns it into carbon in
the living vegetation

CO2

CO2

• The plant’s metabolism
releases some back to the
atmosphere
• “plant respiration”

• Dead matter (leaves etc)
falls to soil
• LARGE amounts of carbon
stored in the soil
© Crown copyright 2007

“litter”
Vegetation absorbs and releases
carbon
CO2

• “photosynthesis” absorbs CO2
from the atmosphere, and turns it
into carbon in the living vegetation

CO2

• The plant’s metabolism releases
some back to the atmosphere
• “plant respiration”
• Dead matter (leaves etc) falls to
soil
• LARGE amounts of carbon
stored in the soil

• Decomposed by
bacteria/microbes and released
as CO2 back to the atmosphere
• “soil respiration”
© Crown copyright 2007

“litter” CO2
Large scale view
• Very large amounts of carbon in…
• Very large amounts of carbon out
• In long term, these
balance

© Crown copyright 2007
Ocean carbon cycle
• Also absorbs carbon
• Sea water dissolves carbon
• Plankton photosynthesise and/or eat each other

© Crown copyright 2007
Ocean carbon cycle
• Large amounts of CO2 in
• And out

• In long term, these balance

© Crown copyright 2007
Carbon cycle “protection”
• Currently, the global carbon cycle absorbs about half
of our emissions
CO2 emissions

CO2 growth in the
atmosphere

© Crown copyright 2007
Carbon cycle “protection”
• Currently, the global carbon cycle absorbs about half
of our emissions
CO2 emissions

CO2 growth in the
atmosphere

Warm years mean
more CO2
© Crown copyright 2007
Balancing the carbon
What we emit…

100
Balancing the carbon
What we emit…

100

Must go somewhere

=

50
25
atmosphere

25

land

ocean
Balancing the carbon
What we emit…

100

Must go somewhere

If these go down due to
climate change…

=

50
25
atmosphere

25

land

ocean
Balancing the carbon
What we emit…

Must go somewhere
This must go up

100

If these go down due to
climate change…

=

50
25
atmosphere

25

land

ocean
Balancing the carbon
For given emissions,
carbon cycle
feedback means:
100

- More CO2 stays in
atmosphere

=

50

>50

atmosphere

- We will see greater
climate change
© Crown copyright Met Office

National Academy of Science, 2011
The local picture:
Models for regional detail and adaptation

© Crown copyright Met Office
“I need hardly repeat, Sir, what has
been so often explained, that the
‘forecasts’ are expressions of
probabilities – and not dogmatic
predictions.”
Admiral Robert Fitzroy, 1863

“… one flap of a sea-gull’s wing
may forever change the future
course of the weather”

Edward Lorenz, 1963
© Crown copyright Met Office
10-year Vision:
Integrated weather and climate prediction
for estimating hazards and risks

A number of global
predictions at ~20km with
lead times of days to years:
Large-scale weather
© Crown copyright Met Office

A smaller number of
regional predictions at
~1km:
Local weather

Probability of local
hazard:
Impacts
Moving from uncertainty to
probabilities/likelihoods
UKCP09

Single
projection

Summer Rainfall 2080’s

UKCIP02

Very unlikely
to be less
than (10%)

Central
estimate
(50%)

Very unlikely
to be more
than (90%)
UKCP09: The first step on a long road...
Significant step forwards:
• First to quantify uncertainties and provide probability
distribution functions
• First to include feedbacks and uncertainties from
carbon cycle
But……
• No wind or snow variables, only limited information on
extremes – but more could be extracted from the
regional climate model ensembles
• No account of the current state of the climate system
© Crown copyright Met Office
© Crown copyright Met Office
Storm-resolving forecasts:
1800 5th – 1500 6th Sep 2008

Our 3 day forecasts are as good as our 1 day forecasts were 20 years ago.

© Crown copyright Met Office
© Crown copyright Met Office

Frames at 10min intervals
Improved rainfall over and around
mountains and hills in 1.5km
forecast model gauge observations and model forecasts
Rain
12 km
Model orography

12km

1 km

Case study:
Carlisle flood, Jan 2005
© Crown copyright Met Office

4 km

1 km
Future change in the 1.5km model

• First climate change experiments with a
convection-permitting have now been
completed
• For first time we can examine future changes in
heavy rainfall at the hourly timescale
• 1.5km model shows large increases in heavy rain
in summer, which is very different to the driving
12km model.
• 12km RCM underestimates heavy rain in
summer, and shows little change in the future.
• Both models show similar increases in heavy rain
in winter.

© Crown copyright Met Office
Exploitation of the 1.5km model results
Storms

Water

How will small-scale intense
(convective) storms change?

How will flooding,
water resources...
Change?

Extremes
How will the risk of
risk of extreme
events change?

1.5km
model
results

Accuracy
What are the strengths
and weaknesses of
current models?
© Crown copyright Met Office

Improvement
How can models be improved?
Exploitation of the 1.5km model results
Storms

Water

How will small-scale intense
(convective) storms change?

How will flooding,
water resources...
Change?

Extremes
How will the risk of
risk of extreme
events change?

What else?
What would help
you?

1.5km
model
results

Accuracy
What are the strengths
and weaknesses of
current models?
© Crown copyright Met Office

Improvement
How can models be improved?
Questions?

© Crown copyright Met Office

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Vicky Pope Met Office IPCC Presentation

  • 1. Latest developments in climate modelling: Vicky Pope October 2013 © Crown copyright Met Office
  • 2. Seamless prediction Climate Decadal Confidence boundary Analysis of past weather observations to manage climate risks Eg. Agriculture: this informs crop choice and planting date to optimise yields and minimise crop failure risk. Predicting routine and hazardous weather conditions and disseminating tailored and timely warnings. Monthly to decadal predictions informs probability of drought, cold, heat. Contingency planners, national and international humanitarian response, government and private infrastructure investment Public, emergency response, international disaster risk reduction © Crown copyright Met Office Seasonal 1-month 1-week Days Hours Now Past climate Supporting decision making Forecast lead-time Global and regional climate predictions. Informs mitigation policy and adaptation choices. Impacts on water resurces, heat stress, crops, infrastructure.
  • 3. The big picture: Models for global climate change and mitigation © Crown copyright Met Office
  • 4. Climate models Used in IPCC AR4 2007 Climate models Integrated Assessment Models Impact models People © Crown copyright Met Office Emissions Atmospheric Composition Climate Change Impacts
  • 5. Earth System Models Used by some in IPCC AR5 2013 Feedbacks People © Crown copyright Met Office Emissions Atmospheric Composition Climate Change Impacts
  • 6.
  • 7. The global carbon cycle... Why is it so important? © Crown copyright Met Office
  • 8. Vegetation absorbs and releases carbon • “photosynthesis” absorbs CO2 from the atmosphere, and turns it into carbon in the living vegetation © Crown copyright 2007 CO2
  • 9. Vegetation absorbs and releases carbon • “photosynthesis” absorbs CO2 from the atmosphere, and turns it into carbon in the living vegetation • The plant’s metabolism releases some back to the atmosphere • “plant respiration” © Crown copyright 2007 CO2 CO2
  • 10. Vegetation absorbs and releases carbon • “photosynthesis” absorbs CO2 from the atmosphere, and turns it into carbon in the living vegetation CO2 CO2 • The plant’s metabolism releases some back to the atmosphere • “plant respiration” • Dead matter (leaves etc) falls to soil • LARGE amounts of carbon stored in the soil © Crown copyright 2007 “litter”
  • 11. Vegetation absorbs and releases carbon CO2 • “photosynthesis” absorbs CO2 from the atmosphere, and turns it into carbon in the living vegetation CO2 • The plant’s metabolism releases some back to the atmosphere • “plant respiration” • Dead matter (leaves etc) falls to soil • LARGE amounts of carbon stored in the soil • Decomposed by bacteria/microbes and released as CO2 back to the atmosphere • “soil respiration” © Crown copyright 2007 “litter” CO2
  • 12. Large scale view • Very large amounts of carbon in… • Very large amounts of carbon out • In long term, these balance © Crown copyright 2007
  • 13. Ocean carbon cycle • Also absorbs carbon • Sea water dissolves carbon • Plankton photosynthesise and/or eat each other © Crown copyright 2007
  • 14. Ocean carbon cycle • Large amounts of CO2 in • And out • In long term, these balance © Crown copyright 2007
  • 15. Carbon cycle “protection” • Currently, the global carbon cycle absorbs about half of our emissions CO2 emissions CO2 growth in the atmosphere © Crown copyright 2007
  • 16. Carbon cycle “protection” • Currently, the global carbon cycle absorbs about half of our emissions CO2 emissions CO2 growth in the atmosphere Warm years mean more CO2 © Crown copyright 2007
  • 17. Balancing the carbon What we emit… 100
  • 18. Balancing the carbon What we emit… 100 Must go somewhere = 50 25 atmosphere 25 land ocean
  • 19. Balancing the carbon What we emit… 100 Must go somewhere If these go down due to climate change… = 50 25 atmosphere 25 land ocean
  • 20. Balancing the carbon What we emit… Must go somewhere This must go up 100 If these go down due to climate change… = 50 25 atmosphere 25 land ocean
  • 21. Balancing the carbon For given emissions, carbon cycle feedback means: 100 - More CO2 stays in atmosphere = 50 >50 atmosphere - We will see greater climate change
  • 22. © Crown copyright Met Office National Academy of Science, 2011
  • 23. The local picture: Models for regional detail and adaptation © Crown copyright Met Office
  • 24. “I need hardly repeat, Sir, what has been so often explained, that the ‘forecasts’ are expressions of probabilities – and not dogmatic predictions.” Admiral Robert Fitzroy, 1863 “… one flap of a sea-gull’s wing may forever change the future course of the weather” Edward Lorenz, 1963 © Crown copyright Met Office
  • 25. 10-year Vision: Integrated weather and climate prediction for estimating hazards and risks A number of global predictions at ~20km with lead times of days to years: Large-scale weather © Crown copyright Met Office A smaller number of regional predictions at ~1km: Local weather Probability of local hazard: Impacts
  • 26. Moving from uncertainty to probabilities/likelihoods UKCP09 Single projection Summer Rainfall 2080’s UKCIP02 Very unlikely to be less than (10%) Central estimate (50%) Very unlikely to be more than (90%)
  • 27. UKCP09: The first step on a long road... Significant step forwards: • First to quantify uncertainties and provide probability distribution functions • First to include feedbacks and uncertainties from carbon cycle But…… • No wind or snow variables, only limited information on extremes – but more could be extracted from the regional climate model ensembles • No account of the current state of the climate system © Crown copyright Met Office © Crown copyright Met Office
  • 28. Storm-resolving forecasts: 1800 5th – 1500 6th Sep 2008 Our 3 day forecasts are as good as our 1 day forecasts were 20 years ago. © Crown copyright Met Office © Crown copyright Met Office Frames at 10min intervals
  • 29. Improved rainfall over and around mountains and hills in 1.5km forecast model gauge observations and model forecasts Rain 12 km Model orography 12km 1 km Case study: Carlisle flood, Jan 2005 © Crown copyright Met Office 4 km 1 km
  • 30. Future change in the 1.5km model • First climate change experiments with a convection-permitting have now been completed • For first time we can examine future changes in heavy rainfall at the hourly timescale • 1.5km model shows large increases in heavy rain in summer, which is very different to the driving 12km model. • 12km RCM underestimates heavy rain in summer, and shows little change in the future. • Both models show similar increases in heavy rain in winter. © Crown copyright Met Office
  • 31. Exploitation of the 1.5km model results Storms Water How will small-scale intense (convective) storms change? How will flooding, water resources... Change? Extremes How will the risk of risk of extreme events change? 1.5km model results Accuracy What are the strengths and weaknesses of current models? © Crown copyright Met Office Improvement How can models be improved?
  • 32. Exploitation of the 1.5km model results Storms Water How will small-scale intense (convective) storms change? How will flooding, water resources... Change? Extremes How will the risk of risk of extreme events change? What else? What would help you? 1.5km model results Accuracy What are the strengths and weaknesses of current models? © Crown copyright Met Office Improvement How can models be improved?