hiroyuki murakami (aesto/mri, japan) akio kitoh (mri, japan)

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Impact of global warming on tropical cyclone structure change with a 20-km-mesh high-resolution global model Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan) AMS Annual Conference 2009 A208

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Impact of global warming on tropical cyclone structure change with a 20-km-mesh high-resolution global model. A208. Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan). AMS Annual Conference 2009. ・ Evaluating changes in tropical cyclone size and structure influenced - PowerPoint PPT Presentation

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Page 1: Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan)

Impact of global warming on tropical cyclone structure change with a 20-km-mesh

high-resolution global model

Hiroyuki Murakami (AESTO/MRI, Japan)Akio Kitoh (MRI, Japan)

AMS Annual Conference 2009

A208

Page 2: Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan)

・ Most studies use regional model for climate projection.

・ Knutson and Tuleya (1999, Climate Dynamics) =>The 51 tropical cyclones (hereafter TCs) experiments with an 18-km- mesh RCM are conducted over the western North Pacific. =>The warm core of the TC shifts upward under the warmed environment. =>The mean horizontal radius of the hurricane-force winds increases 2-3%.

・ Jiang and Perrie(2007, Journal of Climate   ) =>A 25-year projection of future environment over North Atlantic is conducted with a 25-km-mesh RCM. =>A large increase in wind speed in the upper-level troposphere of the right portion of the storm center is detected.

Motivation and Review・ Evaluating changes in tropical cyclone size and structure influenced by the global warming is important for projecting socioeconomic damage in the future. ・ However, conducting multi-year climate simulations in order to evaluate these changes costs huge computer resources.

We used a 20-km-mesh Atmospheric Global Circulation Model in order to evaluate possible changes in tropical cyclone structure affected by global warming.

Page 3: Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan)

MRI/JMA Atmospheric GCM• Based on operational JMA-GSM• Resolution: TL959(20km) with 60 layers• Time integration: Semi-Lagrangian Scheme (Yoshimura, 2004)

2 days/1 year integration with DT=6 min and 30 nodes of Earth Simulator (ES has total 640 nodes)

• Physics– Cumulus convection: Prognostic Arakawa-Schubert (Randall and Pan,

1993)– SW radiation: Shibata & Uchiyama (1992)– LW radiation: Shibata & Aoki (1989)– Land hydrology: MJ-SiB: SiB with 4 soil-layers and 3 snow-layers– Clouds: large-scale condensation, Cumulus, stratocumulus– PBL: Mellor & Yamada (1974,1982) level-2 closure model– Gravity wave drag: Iwasaki et al. (1989) + Rayleigh friction

• Japan Meteorological Agency (JMA) :Operational global NWP model from Nov 2007• Meteorological Research Institute (MRI) : Next generation climate model

Page 4: Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan)

4

SST

Ocean

Atmosphere-Ocean model

Atmosphere

270-180km mesh AGCM 20km mesh

SST

High-Resolution Global Atmospheric Model

2075-20991979-2003Year

SSTPresent

Future

200-50km mesh OGCM

Boundary condition

Predicted SST

Atmosphere

Near Future

2015-2039SST=Sea Surface Temperature

Experimental Design for Climate Simulations;

Time-Slice Experiment

CMIP3 ensemble mean

Page 5: Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan)

How to determine SST

Inter-annual variability of Observed SST 1979-2003

1979      2003            2075    2099

CMIP3 SST Trend 2075-2099

CMPI3 ensemble mean SST under the A1B Scenario Experiment

ΔSST

25 years

25 years

+ +ΔSST =

CMIP3 SST change

Observed SST 1979~2003

Mean SST(2075-2099) – Mean SST(1979-2003)

Present SST

Future SSTA

AR4_20thCentury Exp. SST     -2001

also applies for 2015-2039

Mizuta et.al (2008)

Page 6: Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan)

Methodology -Composite AnalysisComposites here are defined as the average maximum intensity of all storm center’s studies

Total TC number (annual average)

Present-day : 2086 (82)

Future :1667 (66)

Sample of composition grids

Page 7: Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan)

Sample of simulated tropical cyclone (Infrared image by model outputs)

GMS (observation)Model (hypothetical)

Infrared image

2003 08 07 12 Initial

FT=36

Page 8: Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan)

Wind Profile Change ( surface wind )

・ Large changes in wind velocity occur near inner-core region.

・ A surface wind speed increase of more than 4% can be seen up to 500 km from storm center.

Wind speedin knot

Radial Distance in km from Storm Center

Radial Profile around Tropical Cyclone (Surface Wind)

Page 9: Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan)

Change in tangential component of wind ( distance and vertical section )

Ver

tical

pre

ssur

e le

vel

Distance from center

・ The larger increase in tangential wind occurs at mid level of troposphere.

・ The large increase in wind velocity (12-15% ) occurs at the inner-core side.

# gray color=no significant difference

unit : m/s

Page 10: Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan)

Change in temperature anomaly (distance vs vertical)

・ The larger increase in temperature anomaly can be seen in the vicinity of a center core at the upper troposphere.

(Same as Knutson and Tuleya (1999))

unit : KV

ertic

al p

ress

ure

leve

l

Distance from center

# gray color=no significant difference

Page 11: Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan)

Dis

tanc

e fr

om c

ente

r (k

m)

azimuthal angle

At most a 50% increase in precipitation can be identified in the region up to 100 km from the center.

unit : mm/day

Precipitation ChangePresent Experiment Future Experiment Change from Present to Future

Changing ratio (%)

# gray color=no significant difference

Page 12: Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan)

Summary

・ More than a 4% increase in surface wind velocity was identified up to 500 km from storm centers.

・ An increase in wind velocity was the larger at the middle level of troposphere.

・ At most a 50% increase in precipitation was identified in the inner-core region of the TC (at less than 100 km from the center).

・ Warm-core enhancement at the upper troposphere leads to an increase in vertical level of TCs.

Consecutive 25-year climate simulations using a 20-km-mesh high-resolution AGCM were conducted to explore structural changes in tropical cyclones due to global warming.Simulations were conducted for both a present-day and a future warmed environment which is based on an A1B scenario.

Page 13: Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan)
Page 14: Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan)

Change in TC Genesis Frequency and Position

Page 15: Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan)

Number of TC Generated in Each Latitude

Present-day(25yr)

Future(25yr)

Observation

Latitude

TC

fre

qenc

y

Annual global average Present =82 Future =66 (20% decrease)

Page 16: Hiroyuki Murakami (AESTO/MRI, Japan) Akio Kitoh (MRI, Japan)

Shift in TC Generated PositionAveraged TC generated position (present-day simulation)

Averaged TC generated position (future simulation)Generated position for each TC (present-day simulation)

Generated position for each TC (future simulation)