high resolution climate modelling in nerc (and the met office) len shaffrey, university of reading...

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High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens, Ian Stevens, Marie-Estelle Demory, Julia Slingo, Malcolm Roberts, Jen Catto, Kevin Hodges, Adrian New

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Page 1: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

High Resolution Climate Modelling in NERC (and the Met Office)

Len Shaffrey, University of Reading

Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens, Ian Stevens, Marie-Estelle Demory, Julia Slingo, Malcolm Roberts, Jen Catto, Kevin Hodges, Adrian New

Page 2: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

HiGEM is based on the Met Office Hadley Centre coupled ocean-atmosphere climate model, HadGEM1

The ocean resolution is 1/3ox1/3o, which allows the model to begin resolve ocean eddies (an eddy-permitting resolution). The ocean model has 40 levels in the vertical

Centennial length runs have been integrated A 60km atmosphere-only model (NUGAM) has also been developed. Does increasing the resolution improve the representation of regional climate

and weather?

High Resolution Climate Modelling

HiGEM was jointly developed by the National Centre for Atmospheric Science, the University of East Anglia, the National Oceanographic Centre and the Met Office

HiGEM has an atmospheric resolution of 1.25ox0.83o longitude by latitude (90km), and 38 levels in the vertical

Page 3: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

ENSO in HiGEM

Observations

HiGEM

HadGEM

Shaffrey et al. 2009, J. Clim.

DJF El Nino SST Composites

Page 4: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

Tropical Instability Waves

Instantaneous SSTs (lines) and surface windstress divergence (colours) from HadGEM1 (left) and from HiGEM (right) over the Tropical Pacific (Shaffrey et al. 2009, J. Clim.)

The eddy heat transport convergence from Tropical Instability Waves warm the Tropical Pacific cold tongue, improving the mean state (Roberts et al. 2009, J. Clim.).

Page 5: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

• Global climate models generate their own weather. This makes it difficult to evaluate weather systems in climate models

• An emerging methodology is to evaluate the structure of extratropical cyclones using a compositing technique

• Results will be shown from the HiGEM high-resolution global coupled climate model and the ERA-40 ECMWF global reanalysis. These have very similar horizontal resolutions (approx. 90km)

•Catto, J. et al. 2010, Journal of Climate

Extratropical cyclones in HiGEM

Page 6: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

Creating composite structures for extreme storms in HiGEM and

ERA-40

First work out the tracks of the strongest

storms using the 850hPa vorticity and

Kevin Hodges feature tracking program

Page 7: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

Creating composite structures for extreme storms in HiGEM and

ERA-40

Then work out where the storms reach

maximum strength (in this case maximum 850hPa vorticity)

Page 8: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

Creating composite structures for extreme storms in HiGEM and

ERA-40

We then select the region around the

these points..

Page 9: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

Creating composite structures for extreme storms in HiGEM and

ERA-40

We then select the region around the

these points…and note which way they are

moving

Page 10: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

Creating composite structures for extreme storms in HiGEM and

ERA-40

We then select the region around the

these points…and note which way they are

moving

Page 11: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

Creating composite structures for extreme storms in HiGEM and

ERA-40

Since the storms are all propagating in

different directions we rotate the structures …

Page 12: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

Creating composite structures for extreme storms in HiGEM and

ERA-40

Since the storms are all propagating in

different directions we rotate the structures …

and then average.

+ + =

Page 13: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

Storm Structure

Composites of system relative 925hPa wind speed (ms-1) from the 100 most intense NH wintertime storms

ERA-40 HiGEM

B

A

B

A

Propagation

Page 14: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

Storm Structure

HiGEMERA-40

Composites of system relative winds and potential temperatures from the 100 most intense NH wintertime storms

Page 15: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

Storm Structure

HiGEM

CCB

WCB

ERA-40

CCB

CCB = Cold Conveyor Belt WCB = Warm Conveyor Belt

Composites of system relative winds and potential temperatures from the 100 most intense NH wintertime storms

WCB

Page 16: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

Track densities (storm transits/month) Northern Hemisphere

Location of the simulated tropical stormsH

igh

reso

lutio

nL

ow r

eso

lutio

n

Modelled Observed

Courtesy of P-L. Vidale and Jane Strachan

Page 17: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

Intensity of simulated tropical storms

Fre

que

ncy

V.Low (300km)Low (150km)

Mid (90km)High (60km)

Resolution

Wind Speed near the surface

Although high-resolution climate models are beginning to capture the geographical location of tropical storms, at these resolutions, we can’t capture intensity.

Courtesy of P-L. Vidale and Jane Strachan

Page 18: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

Summary

•Increasing resolution reduces some biases, and improves the representation of ENSO, blocking, NH stationary wave patterns and stratocumulus decks (Shaffrey et al. 2009, J. Clim.)

•Higher resolution climate models are starting to resolve structures in weather systems, for example intense extratropical cyclones (Catto et al., 2010, J. Clim.). Can also simulate locations and number of Tropical Cyclones (although not intensity).

•Increasing resolution is not a panacea. Major biases remain, e.g. both HadGEM1 and HiGEM poorly represent the distribution of Indian summer monsoon rainfall.

Page 19: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

Future Directions

•The HiGEM and NUGAM models are being used extensively in a range of projects, VOCALS, Willis RN, Met Office PACE, Queensland CCE, etc...

•Experimental decadal predictions using HiGEM are being produced for CMIP5. The results of CMIP5 will be used to inform the next IPCC assessment report (AR5)

•NERC is involved in the development of the next generation Met Office high resolution coupled climate model, HadGEM3-H (Atmos: 60km; Ocean: NEMO ORCA0.25 grid)

• Currently seeking funding from the NERC Storm Risk Mitigation programme to study the impact of climate change on extratropical cyclones

• Consistent tracking diagnostics across the CMIP5 models• Using the ECMWF Athena results, investigate the impact of climate

change on intense extratropical cyclones, and their upscale effects, in very high-resolution global atmospheric models

Page 20: High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,

A test: The 97/98 El Nino

A test of the system, forecasting the 1997/1998 ENSO from Dec 1996.

Timeseries of Nino3.4 SST anomalies from observations (black), the assimilation run (thick red) and three hindcasts (thin red).