Tropical Cyclones, pt. 2 • Review of structure • Climatological questions • Dangers – Wind, storm surge, flooding, tornadoes.
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Tropical Cyclones, pt. 2 • Review of structure • Climatological questions • Dangers – Wind, storm surge, flooding, tornadoes Why are TCs named? Tropical cyclones are named to provide ease of communication between forecasters and the general public regarding forecasts, watches, and warnings. Since the storms can often last a week or longer and that more than one can be occurring in the same basin at the same time, names can reduce the confusion about what storm is being described. For more info, visit: http://www.aoml.noaa.gov/hrd/tcfaq/B1.html Radial profile of TC winds Wind speed of Hurricane Anita (1977). Note the exponential increase from the eye, out to a “radius of maximum winds” of ~ 30 km, then exponential decrease toward the periphery of the tropical cyclone. Source: Holland (1981) Hurricane Fran Category 3 Mitch (1998) Statistics • • • • 9000+ deaths in Nicaragua & Honduras Minimal central pressure: 905mb Max sustained winds: 155kt (180mph) 2nd strongest October hurricane ever recorded • 7th strongest hurricane ever in Atlantic Hurricane Wilma Category 5 Hurricane Gilbert Compare to Wilma & Mitch (location) Cyclone Monica 23 April 2006 Most intense TC in 2006. But, just how intense? Cyclone Monica 23 April 2006 Most intense TC in 2006. But, just how intense? Australia (Darwin): 905 hPa, sustained surface winds 135 kts (10-min) Joint Typhoon Warning Center (Hawaii): 879 hPa; 145 knots (1-min) Dvorak (Wisconsin) satellite estimate: 869 hPa; 170 kts (1-min) How intense is this western Pacific typhoon? How intense is this western Pacific typhoon? NOAA CI number 7.0 (140kts, 898mb) JMA: 925mb; 95 kts (10-min speed; 108 kts 1-min speed) Different landfall intensities JTWC: 110kt G 140 kt 1-min sustained = Cat 4 *JMA: 75 kt 10-min mean ~ 84 kt 1-min sustained = CAT 2 CWB: 74 kt G 93 kt 10-min mean ~ 83 kt G 104 kt = CAT 2 HKO: 90 kt 10-min mean ~ 101 kt = CAT 3 Only one can be correct. But which is it? And will we ever know? Most intense Atlantic hurricanes Intensity is measured solely by central pressure Rank Hurricane Season 1 Wilma 2005 882* mb (hPa) 2 Gilbert 1988 888 mb (hPa) 3 "Labor Day" 1935 892 mb (hPa) 4 Rita 2005 895 mb (hPa) 5 Allen 1980 899 mb (hPa) 6 Katrina 2005 902 mb (hPa) Camille 1969 905 mb (hPa) Mitch 1998 905 mb (hPa) 9 Ivan 2004 910 mb (hPa) 10 Janet 1955 914 mb (hPa) 7 Min. pressure Most intense global TCs Rank Name Pressure Location Year 1 2 2 2 2 2 7 8 9 9 11 11 11 14 14 14 14 14 19 19 21 22 22 24 25 Typhoon Tip Typhoon Gay Typhoon Ivan Typhoon Joan Typhoon Keith Typhoon Zeb Typhoon June Typhoon Forrest Typhoon Ida Typhoon Nora Typhoon Rita Typhoon Yvette Typhoon Damrey Typhoon Vanessa Typhoon Angela Typhoon Faxai Cyclone Zoe Typhoon Chaba Typhoon Violet Hurricane Wilma Typhoon Irma Typhoon Mike Cyclone Daryl-Agnielle Hurricane Gilbert Labor Day Hurricane 870 mb 872 mb 872 mb 872 mb 872 mb 872 mb 875 mb 876 mb 877 mb 877 mb 878 mb 878 mb 878 mb 879 mb 879 mb 879 mb 879 mb 879 mb 882 mb 882 mb 884 mb 885 mb 885 mb 888 mb 892 mb Western Pacific Western Pacific Western Pacific Western Pacific Western Pacific Western Pacific Western Pacific Western Pacific Western Pacific Western Pacific Western Pacific Western Pacific Western Pacific Western Pacific Western Pacific Western Pacific South Pacific Western Pacific Western Pacific Atlantic Western Pacific Western Pacific South Indian Atlantic Atlantic 1979 1992* 1997* 1997* 1997* 1998* 1975 1983 1958 1973 1978 1992* 2000* 1984 1995* 2001* 2002** 2004* 1961 2005 1971 1990 1995* 1988 1935 How is TC intensity determined? 1. Ground-based observations (ships, ocean buoys, surface stations, and Doppler radar) 2. Aircraft reconnaissance (only for the Atlantic basin though; West-Pacific from 3. Satellite estimates - most common method of estimation (b/c most TCs do not reach land or pass over buoys). - Based on historical relationships between wind and minimum pressure Dvorak technique flow chart Dvorak technique flow chart, continued Minimum Pressure T-Number 1.0 - 1.5 2 2.5 3 3.5 4 4.5 5 5.5 6 6.5 7 7.5 8 Take the current intensity (T-number) from the Dvorak technique and translate that into wind and pressure estimates Winds (knots) 25 30 35 45 55 65 77 90 102 115 127 140 155 170 (millibars) Atlantic NW Pacific ---1009 1005 1000 994 987 979 970 960 948 935 921 906 890 ---1000 997 991 984 976 966 954 941 927 914 898 879 858 Note: The pressures shown for the NW Pacific are lower as the pressure of that whole environment is lower as well. Tropical cyclone climatology Many current studies examining the links between global climate change and changing Atlantic and global TC activity Numbers of weak (category 1, 2) hurricanes have remained generally steady over the last 35 yrs, but numbers of category 4 & 5 hurricanes have dramatically increased. Is this due to global warming, better observing technology, or a combination of factors? Simple answer is that we just don’t know for sure. Global datasets are not perfect! One example: southern hemisphere was very poorly observed (no land, few ships) before 1977. In 1977, GMS-1 satellite launched, resulting in great increase in number of TCs detected annually. Still important to include the Southern Hemisphere in the global datasets because the SH does account for between 25% and 35% of global TC activity! Total number of TCs has remained relatively constant over past 35 years. Longevity of TCs has exhibited some variability in this same period, peaking in early 1990s and decreasing to present. Source: Webster, P. J., G. Holland, J. Curry, and H.-R. Chang, 2005: Changes in Tropical Cyclone Number, Duration, and Intensity Warming Environment. Science, 309, 1844-1846. in a Total numbers of hurricanes has exhibited strong year-to-year variability (especially West Pacific WPAC] and Southern Hemisphere [SH}). However, biggest interest is in the marked increase in very strong hurricanes (Categories 4 + 5) in the past 15 years. Source: Webster, P. J., G. Holland, J. Curry, and H.-R. Chang, 2005: Changes in Tropical Cyclone Number, Duration, and Intensity in a Warming Environment. Science, 309, 1844-1846. Similar to the Webster et al. study on the previous slide, Emanuel confirmed the increasing destructiveness (measured by a Power Dissipation Index, PDI, which is very sensitive to higher wind speeds) of Atlantic and West Pacific hurricanes in the last 15 years. Source: Emanuel, K. A, 2005: Increasing destructiveness of tropical cyclones over the past 30 years. Nature, 436, 686-688. Some conclusions from global warming & tropical cyclones: 1- global sea surface temperatures have warmed in the last 35 yrs 2- numbers of named storms has remained relatively constant in last 35 yrs (~ 80 storms per yr) 3- numbers of intense storms (cat 3-45) has increased in the last 35 yrs 4- computer simulations of high carbon dioxide (the main global warming culprit) seem to indicate not more hurricanes, but instead stronger hurricanes (see figure at right) 5- large degree of uncertainty is associated with all of these findings (from SST values, to numbers of storms in the past 35 yrs, to numbers of storms expected in next 80 yrs) Results from a global climate model simulation: a shift of the mean toward more intense, and a shift of the variance toward more frequent intense events Hurricane Dangers • Straight-line winds – Winds that circulate around the low • Storm surge – Sea water pushed onshore by strong winds • Tornadoes – Frictional drag enhances vertical shear – Generally weak (F0 to maybe F2) • Inland rain – The deadliest hurricane killer in the last 30 yrs* * Katrina’s deaths heavily skewed the statistics Straight Line Winds • Strongest winds on right side – With respect to storm motion • Hurricane Katrina • 90 kt wind • 965mb pressure • Departing FL into GoM • Hurricane Katrina • 100 kt wind • 941mb pressure • Category 3 intensity – Notice the storm is asymmetric • Hurricane Katrina • 150 kt wind • 902 mb pressure – 6th lowest ever in Atlantic • Notice the incredible symmetry of the inner-most winds – At this point most of the surge is being generated (water is being “piled up” north & northeast on the right side of Katrina) • Hurricane Katrina • 110 kt wind • 920 mb pressure • Interaction with Louisiana & Mississippi – Note surface winds are disrupted over land • Note Katrina’s winds are quite asymmetric – Notice direction of winds are pushing gulf waters towards Lake Pontchartrain – New Orleans barely has hurricane-force winds • Hurricane Ivan at landfall (Alabama / Florida border) • 110kt wind • 943mb pressure • Note eye just east of Mobile Bay • Note asymmetry in wind field Example from hurricane Edouard (1996) showing the cooling effects of a hurricane Strong hurricane winds act to mix the warm surface water with cooler water from below Shows the need to not only have warm sea surface temperatures, but also to have a sufficiently deep layer of warm water to minimize this mixing (>50 meters) Storm Surge • Increase in ocean level – direct wind-driven water – uplift enhanced by atmospheric pressure drop • sea level will rise 1 centimeter for every 1 millibar decrease in atmospheric pressure – so a 900 mb hurricane will have 1 meter of surge associated with pressure drop • Coastline shape has an effect – Concave: enhances • Bays, inlets (Appalachia Bay, FL) – Convex: diminishes • Headlands • Evacuations are primarily to avoid storm surge • Katrina’s 1,830+ deaths attributed mostly to storm surge flooding (drownings resulting from breaking of dikes & levees) Storm Surge Storm Surge Simulation • High terrain • Steep slope • Less surge danger • Low terrain • Gentle slope • More surge danger Each county develops evacuations based on expected storm surge conditions Obviously stronger storms will have more surge that goes farther inland – thus more people need to be evacuated States and counties have locally identified evacuation routes for their coastal citizens Problems occur when: 1) Hurricane strengthens rapidly before landfall & more people need to evacuate (and others get scared & want to evacuate) 2) Hurricane approaches parallel to coastline – need to evacuate larger areas due to uncertainty 3) Infrastructure doesn’t support quick or efficient evacuations (i.e., Houston during Rita in 2005) Katrina’s 27-foot storm surge Waveland, Mississippi Inland Flooding • Tropical cyclones are prolific rain producers – Typical hurricane drops 6” to 10” along its track • If storm is slow, or moves over mountainous terrain … rainfall is enhanced – TS Allison, 2001 • 30+” in Houston, $6 billion in damage – Hurr. Mitch, 1998 • 10,000+ killed in Honduras / Nicaragua – Jeanne, 2004 • 1,500+ killed in Haiti – Floyd, 1999 Hurricane Floyd Hurricane Floyd at Landfall Inland Flooding: Hurricane Floyd Inland Flooding: Hurricane Floyd Hurricane Floyd vs. May 3 Tornadoes • 56 people died in the US due to Floyd – 48 (or 86%) due to drowning in inland freshwater flooding – Vehicle deaths: 31 people (25 men) Hurricane Floyd in NC vs. May 3rd Tornadoes in OK $3 billion in damage … $1.2 billion in damage 7,000 homes destroyed … 2,314 homes destroyed 56,000 homes damaged … 7,428 homes damaged 56 deaths … 36 deaths Tornadoes • Occur in land-falling tropical cyclones – Typically in spiral bands and right-front quadrant • Very difficult to predict … need: – Vertical shear • Remember – vertical shear is *detrimental* to a tropical cyclone! – Higher-than-normal instability Examples from 2005: Katrina Examples from 2005: Rita Examples from 2005: Rita Examples from 2004: Charley Examples from 2004: Charley Examples from 2004: Frances Examples from 2004: Frances Examples from 2004: Frances Examples from 2004: Frances Examples from 2004: Ivan Examples from 2004: Ivan Examples from 2004: Ivan Tropical cyclone fundamentals • TC originates over tropical oceans and is driven principally by heat transfer from the ocean – Almost always develop over open ocean water whose temp > 26C • Behave as an approximately axisymmetric vortex – Wind max ~10-100km from center, then decaying as r -1/2 – Max upward vertical velocity ~5-10 ms-1 • In eye, sinking air ~ 5-10cms-1 • Boundary Layer Equations: Source: Smith 2003 Basic energetics • Recognized early on (Riehl 1950 and Kleinschmidt 1951) that TC energy source is heat transfer from ocean – Charney and Eliassen (1964) caused 15-yr “hiccup” by proposing an alternate energy source [ CISK ] • Current research has reverted to earlier theories (and expanded them), e.g., Emanuel’s (1986) air-sea interaction • Flux of momentum (into the sea) • Flux of enthalpy (from the sea) Resulting wind equation: • Surface wind is function of: – Ratio between transfer coefficients (to be revisited shortly) – Thermodynamic efficiency – Enthalpy disequilibrium from ocean to air • This disequilibrium forms the core of air-sea interaction theory! Interesting side note . . . • Dissipative heating – Sink of energy from the boundary layer • If vertically integrate this equation to obtain the kinetic energy dissipation … – Average TC dissipates 3 x 1012 W • Equal to rate of power consumption in the US in the year 2000! Positive feedback mechanism • Increased wind greater enthalpy flux Fk increased winds greater flux, etc etc • Limit on intensity: when dissipation (which grows as cube of velocity) reaches equilibrium with enthalpy flux Surface drag coefficient CD • CD is a function of: – Z0, U10 – wave age • ratio of local friction velocity to phase speed of dominant spectral component – wave steepness • As CD decreases, Vmax increases • Commonly-used linear formulation based on Large and Pond (1982): Sea state in very high wind speeds Source: Emanuel 2003 Courtesy NWS Chicago • Role of sea spray in the hurricane boundary layer – Not understood – Never been studied (until very recently) 46 ms-1 Source: Powell 2003 55 ms-1 GPS dropwindsondes (1998-pres): vertical wind profiles • Resembles “log wind profile” in lowest 100-200 m • Decreases w/height above ~300 m Source: Franklin et al. 2003 Vertical wind profile (as a percentage of the 700mb flight-level wind) • Notes: – Wind max occurs between 300 and 600 m and decreases above that • Coincident with thermal wind balance of a warmcore cyclone (Bluestein vol. 1, p. 187-88) – Mitch, the strongest cyclone of the group, had lowest wind max • Agrees with theory of reduced roughness length in high wind environments Source: Franklin et al. 2003