Atlantic Hurricanes and Climate Change - PowerPoint PPT Presentation

Loading...

PPT – Atlantic Hurricanes and Climate Change PowerPoint presentation | free to view - id: 5a85c-ZDc1Z



Loading


The Adobe Flash plugin is needed to view this content

Get the plugin now

View by Category
About This Presentation
Title:

Atlantic Hurricanes and Climate Change

Description:

but what about hurricanes? ... its own sample of hurricanes during each season. ... as a tool for exploring the causes of these changes and the possible future ... – PowerPoint PPT presentation

Number of Views:23
Avg rating:3.0/5.0
Slides: 34
Provided by: thomasr3
Category:

less

Write a Comment
User Comments (0)
Transcript and Presenter's Notes

Title: Atlantic Hurricanes and Climate Change


1
Atlantic Hurricanes and Climate Change
Tom Knutson Geophysical Fluid Dynamics
Lab/NOAA Princeton, New Jersey
U.S.A. http//www.gfdl.noaa.gov/tk NOTE SOME
SLIDES REMOVED FOR WEB VERSION
Hurricane Katrina, Aug. 2005
GFDL 18km-grid simulation of Atlantic hurricane
activity
2
Focus questions for this talk
  • Are there significant trends in Atlantic tropical
    cyclone activity?
  • How well can we simulate past Atlantic hurricane
    activity?
  • What are the prospects for future Atlantic
    hurricane activity?

3
The earths surface temperature has been
increasing…. …but what about hurricanes?
Sources NASA/GISS.
4
There is some recent evidence that overall
Atlantic hurricane activity may have increased
since in the 1950s and 60s in association with
increasing sea surface temperatures…
PDI is proportional to the time integral of the
cube of the surface wind speeds accumulated
across all storms over their entire life cycles.
Source Kerry Emanuel, MIT, personal
communication 2007.
5
But a measure of annual U.S. landfalling
hurricane activity shows no clear long-term trend
since 1900…

Source Chris Landsea, NOAA/NHC
6
The frequency of recorded storms (low-pass
filtered) in the Atlantic basin is
well-correlated with tropical Atlantic SSTs
Source Emanuel (2006) Mann and Emanuel (2006)
7
(No Transcript)
8
Statistical significance testing
  • Method 1 Linear least-squares regression on
    annual storm count series. Adjust degrees of
    freedom for two-sided t-test based on lag-1
    autocorrelation.
  • Method 2 Same as Method 1, but for the ranks
    rather than the original series. Addresses issue
    of skewness in storm count annual data.
  • Method 3 Bootstrap resampling (with
    replacement) of series sug-segments of length L.
    Compute linear trends of resampled data sets as a
    control comparison. L values in range of 2-8
    tested. (Recommended value of 2-3 based on Wilks
    text.)
  • The three methods give roughly similar results
    here.

9
…but some storms may have been missed and not
recorded in the database.
Pre-satellite era- 77 strike land
Source Chris Landsea, NHC/NOAA
Source Chris Landsea, NOAA/NHC
10
Landsea No significant trend from AMO warm
phase to warm phase, or cold phase to cold phase.
11
Reconstructing past tropical cyclone counts
  • Satellite-era (1965-2006) storm tracks assumed
    perfect.
  • Apply satellite-era storm tracks to documented
    ship tracks (ICOADS).
  • Storm detected if ship within radius of tropical
    storm force winds (17 m/s). First detection must
    occur equatorward of 40N. Monte Carlo
    simulation, varying storm radii within reasonable
    bounds.
  • All land assumed to be perfect detector of
    tropical storms (equatorward of 40N)planned to
    further test…
  • Assume all relevant ship tracks are in data
    baseplan to further test with additional tracks.
    (First will look for evidence of storms in new
    ship data.)

12
Trend from 1878-2006 Not significant (p0.05,
2-sided tests) Trend from 1900-2006 Significant

13
(No Transcript)
14
(No Transcript)
15
The Atlantic Multidecadal Oscillation (AMO) and
Tropical Atlantic (Aug-Oct) SSTs
GFDL Model All Forcings (n8)

GFDL Model Natural Forcings Only (n4)
GFDL Model Anthropogenic Forcings (n4)
Note No indirect aerosol forcing is included in
any of these runs.
Sources C. Landsea, NHC/NOAA update of
Goldenberg et al. 2000 Knutson and Tuleya
(2006 accepted for publication, Cambridge Univ.
Press).
16
A comparison of several climate change metrics
Global Mean Temperature
Tropical Atlantic Sea Surface Temperature
Atlantic Tropical Storm Counts (unadj.)
Atlantic Trop. Storm Counts (Vecchi/Knut. Adj.)
U.S. Landfalling Tropical Storms (unadj.)
U.S. Landfalling Hurricanes (unadj.)
Note All time series are low-pass filtered
(5-yr mean) and normalized to unit standard
deviation (y-axis tic marks 1 st. dev).
17
(No Transcript)
18
Sea surface temperatures have increased in
the region where Atlantic hurricanes form and
intensify, and they are projected to increase
much more during the 21st century…
19
NW Pacific Basin Intensity vs. SST
Minimum surface pressure (mb)
The most intense storms occur at high SSTs
Sea surface temperature (deg C)
Source Baik and Paek, J. Meteor. Soc. Japan
(1998). Used with permission.
20
(No Transcript)
21
Hurricane models project increasing hurricane
intensities and rainfall rates with climate
warming …
Hurricane Intensity
Hurricane Rainfall Rates
Current climate
Current climate
Late 21st century
Late 21st century
6-hr accumulated rainfall cm within 100 km of
storm center.
Sensitivity 12 increase in near-storm
rainfall per oC SST increase
Sensitivity 4 increase in wind speed per
oC SST increase
Sources Knutson and Tuleya, J. Climate, 2004
(left) Knutson and Tuleya, 2007 accepted for
publication, Cambridge Univ Press (right).
See also Bengtsson et al. (Tellus 2007)
and Oouchi et (J. Meteor. Soc. Japan, 2006).
22
Late 21st Century projections increased
vertical wind shear may lead to fewer Atlantic
hurricanes
7 6 5 4 3 2 1
0 1 2 3 4 5 6
7
Percent change in shear per degree Celsius global
warming
Source Vecchi and Soden (Geophysical Research
Letters 2007)
23
21st Century Atlantic Hurricane Activity?
  • Models indicate increased hurricane intensities
    with warmer ocean temperatures.
  • Climate models project that greenhouse warming
    may be accompanied by increased vertical wind
    shear in some regions of the Atlantic, which
    should act to reduce storm frequency and
    intensification in those regions.
  • How do we assess which of these competing effects
    will win out?

24
GFDL Zetac Model A new high-resolution regional
model for Atlantic hurricane season simulations…
  • The model runs for entire hurricane seasons.
  • The model generates its own sample of hurricanes
    during each season.
  • These experiments push the limits of available
    computing resources.

25
Sample hurricane from the Zetac 18-km grid model
Surface winds (m/s) and rainfall (mm/day)
Atmospheric warm core and wind
speeds
26
(No Transcript)
27
The model captures both the increase in hurricane
activity since the 1980s and the year-by-year
fluctuations….
North Atlantic Basin (August-October)
Hurricane Frequency
Correlations vs. Obs Model1 0.76 Model2
0.76
Note Model uses large-scale interior nudging
to NCEP Reanalysis
Source Knutson et al. 2007 (in review)
28
The model captures both the increase in hurricane
activity since the 1980s and the year-by-year
fluctuations….
North Atlantic Basin (August-October)
Hurricane Frequency
Correlation 0.86
Note Model uses large-scale interior nudging
to NCEP Reanalysis
Source Knutson et al. 2007 (BAMS, in press)
29
The model captures both the increase in tropical
storm activity since the 1980s and the
year-by-year fluctuations….
North Atlantic Basin (August-October)
Tropical Storm Frequency
Correlation 0.74
Note Model uses large-scale interior nudging
to NCEP Reanalysis
Source Knutson et al. 2007 (BAMS, in press)
30
Correlations Model1 0.36 Model2 0.51
Ensem 0.57
Correlations Model1 0.30 Model2 0.32
Ensem 0.41
31
Correlations Model1 0.72 Model2 0.66
Ensem 0.76
Correlations Model1 0.64 Model2 0.54
Ensem 0.70
Correlations Model1 0.70 Model2 0.60
Ensem 0.72
Correlations Model1 -0.01 Model2 0.20
Ensem 0.13
32
The Zetac model reproduces the observed reduction
of N. Atlantic activity during El Nino events
fairly well…
33
Conclusions
  • Observed data give conflicting indications on
    whether humans might have caused significant
    increases in Atlantic tropical storm and
    hurricane numbers.
  • Data quality issues reduce confidence in current
    assessments and statistical analyses of past
    Atlantic (and global) hurricane activity.
    Statistical techniques will be important both for
    addressing data quality issues and for assessing
    significance of trends and other features in the
    data.
  • Models project increased intensities of the most
    intense hurricanes and increased hurricane
    rainfall rates for the late 21st century.
  • A new regional dynamical downscaling model
    reproduces the interannual and decadal scale
    variability of Atlantic hurricane activity during
    1980-2006, and shows promise as a tool for
    exploring the causes of these changes and the
    possible future changes in Atlantic hurricane
    activity associated with 21st century climate
    warming.
About PowerShow.com