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P2.152 SPRING-NEAP TIDAL PATTERNS IN NORTH ATLANTIC

TROPICAL

Peter H. Yaukey*

University of New Orleans, New Orleans, USA

ABSTRACT spring-neap tidal cycle.

Tropical cyclones are hypothesized to Atlantic best-track observations from reduce their own intensity by mixing of cool 1950-2007 displayed a pronounced peak of water upward, locally reducing the warmth of both hurricane occurrence and mean the sea surface. Little is known about how speed half way between the new and variations in subsurface waters full . These patterns were consistent might moderate their influence on cyclones over time, being correlated between the first over sub-seasonal time scales. For instance, (1950-1978) and second (1979-2007) halves cold water might be mixed upward to depths of the study period. This pattern of hurricane accessible to by internal tidal waves occurrence was similar east and west of

(bores) propagated along the thermocline. I 550W and in the Gulf of Mexico/Caribbean explored the possible influence of tidal mixing Sea, but appeared phase shifted by ~7 d on near-surface ocean temperature profiles north of 350N. Initiation dates of rapid and tropical cyclones by analyzing patterns of intensification events (≥15 kt increase in 24 h) cyclone frequency and intensity, and of were distributed non-uniformly across the subsurface water , across the synodic cycle, and showed peaks more

______directly centered on the new (major peak)

*Corresponding author address: Department and (minor). of Geography, University of New Orleans, Water temperatures at 35-150m depth at

New Orleans, LA, USA, 70148; e-mail: three long term moorings between 120N and [email protected]. 320N were each dominated by a peak near

1 the new moon, matching the timing of tracks, with especially large errors in the intensification events, although they varied in realm of rapid intensification (Rappaport et other details. Within 500 km of the 120N and al., 2009). The National Hurricane Center

150N moorings, cyclones that passed while has elevated improvements in intensity rapidly intensifying appeared to be associated forecasting to their top priority for tropical with warmer 35-150m waters than were other research. Intensification of passing cyclones. Evidence less consistent hurricanes is widely recognized to be affected with tidal influence include the presence of a by a variety of factors, including vertical wind relatively strong lunar pattern in hurricane shear, humidity, vorticity, and upper-level occurrence in the Gulf of Mexico and divergence. Ocean temperature is critical to

Caribbean Sea where are weak, the intensification, including not just limited amplitude of spring-neap temperature surface temperature but also the depth of the variations (only 0.1-0.20C) and their surface layer of warm water (Hong et al., inconsistency across at two of the 2000; Mao et al., 2000; Shay et al., 2000; mooring sites. Gino and Trinanes, 2003).

The heat content of the uppermost

KEY WORDS: ; hurricane; ocean and variation of water temperature with rapid intensification; tidal; spring-neap. depth near the surface depend upon several

factors, such as the presence and depth of

1. INTRODUCTION warm ocean currents and eddies, radiant

Forecasting of hurricane intensity remains an fluxes, and wind. In recent years important challenge for tropical cyclone oceanographers have also become aware researchers. Accurate intensity forecasting is that much more tidal critical to warning coastal communities of the occurs away from the continental shelves level of threat posed by approaching storms, than was previously thought (Egbert and Ray, yet advances in forecasting intensity have not 2000; Garrett, 2003; Jayne, 2005; Thorpe, kept pace with those in predicting of storm 2005). The ability of tidal movements to

2 induce mixing of water near the ocean variations in the occurrence and intensity of surface is still not well understood, but mixing tropical cyclones across the spring-neap in the upper ocean has been reported from cycle. I then examine temperature modeling and empirical studies both far from fluctuations down to 150m at three long term

(e.g., Martin, 2007; Schiller and Fiedler, moorings in the Atlantic, to assess whether

2007) and along continental shelves (e.g., sub-surface temperatures vary in a pattern

Creswell and Badcock, 2000; Sharples et al., consistent with patterns exhibited by the

2006). Deep ocean tidal mixing is thought to cyclones. I focus on the Atlantic basin, where be generated at seafloor topographic the most complete and precise historical features, and it is not clear how far tidal database of storm wind speeds is available. energy can spread from these. One possible mechanism of spread is via movements of 2. METHODS internal waves along the thermocline. Such 2.1 Tropical cyclone records internal waves create predictable upwelling I obtained tropical cyclone records at 6 h and surface cooling with fortnightly intervals from June- between 1950 periodicity, at least at several locations on the and 2007 from the best track analyses of the Pacific Coast of North America (Pineda 1991, National Hurricane Center’s North Atlantic 1995). At present, tidal variations in Hurricane Database (HURDAT, subsurface water temperatures are not http://www.nhc.noaa.gov/pastatll.shtml). incorporated into cyclone forecasting. Records prior to 1950 were excluded The purpose of this paper is investigate because most lacked data from the early whether the subsurface waters within reach (tropical depression) phase of storm of wind-induced mixing by passing cyclones development, and observations made north exhibit meaningful temporal variation on the of 500N or coded as “extratropical” were spring-neap tidal cycle, which might indicate omitted. The onset of rapid intensification the potential to influence cyclone was identified for storms that experienced a intensification. I begin by examining Rapid Intensification Event (RIE) of ≥15 knots

3 (7.7 ms-1) over 24 h. Intensification individual storm accounts in the National calculations did not begin until a storm was Hurricane Center online archives, and storm classified as a tropical or subtropical system track maps on the UNISYS website of at least depression strength, and (www..unisys.com/hurricane). consecutive (beginning 6 h after another ended) or overlapping RIE were considered a 2.2 Ocean temperature single event. When a storm had more than Three moorings that have especially one RIE, that with the largest total wind lengthy records of sub-surface temperatures speed increase was used; maximum 6 h in cyclone-prone areas of the Atlantic were increase within the RIE was the second tie selected for analysis (Fig. 1). Two were breaker. To exclude RIEs caused merely by adjacent components of the PIRATA array landfall-weakened storms intensifying as they located at 12.00N 38.00N and 15.00N 38.00N, returned to sea, post-landfall RIE did not 333 km apart (available at begin until storms had regained their pre- http://www.pmel.noaa.gov/tao/data_deliv/deli landfall strength. If this happened in between v-nojava-pir.html). Daily temperature observations, the storm was assumed to readings were available from these moorings have regained it at the midpoint in between back to 1999 and 1998 respectively, at 20 m those observations. Pre-landfall wind speed depth intervals down to 140 m and at 180m. was taken from the last observation before For days that were missing data from a single the official track came ashore. For purposes depth or two adjacent depths that were other than RIE, observations within 3 d after bounded by measurements 20m above and being over land (coded as 10 x 10 blocks that below, missing temperatures were filled in by intersected land) were excluded. For all interpolation between the next deeper and purposes, only contacts with a continental shallower values, based simply on the mean mainland or Greater Antillean island relative magnitude of the missing depth’s constituted landfall. Identification of RIE and temperature between its two bounding depths landfalls in HURDAT was assisted by

4 in the overall data set. Days with more HURDAT observations posed challenges for missing data were omitted testing for statistical significance. I dealt with

The third mooring, the Bermuda Testbed this problem in two ways. First, I compared site (31.70N 64.20W), has been operating patterns of cyclone occurrence and wind since 1994 (data available at http://www.opl. speed or ocean water temperature on the ucsb.edu/btm.html). Sensor depths here lunar cycle between the years in the first and have shifted over time and this analysis will second halves of the study period (1950- focus on the four depths that offer the 1978, 1979-2007 for cyclones) using simple greatest number of observations since the correlation; correlated patterns were mooring began: 3, 35, 70, and 150 m. The considered unlikely to be spurious. For this sensor depths used actually varied around purpose, each synodic cycle was partitioned each of these targets by as much as 1m (for into 30 equal “days” (cf. mean length of 29.53 the 3m depth), 5m (for 35m and 70m), or 9m d) and the frequency of hurricane

(for 150m). When more than one sensor was observations, mean wind speed, or mean available at a given depth, only one was water temperature was calculated for each used- generally the Tidbit sensor because of synodic . To prevent complications from its wide availability over the series of arising due to the slightly shorter length of moorings. synodic than calendar days, temperatures

were first calculated as 24 h means before 2.3 Spring-neap tidal cycle each was assigned to its synodic day (at I matched storm and mooring 12Z). For cyclones I assumed that the 57 yr observations to the spring-neap (lunar phase) span of cyclone observations was sufficiently cycle by calculating the time elapsed from the long (>280 synodic cycles) to prevent preceding full moon to the of spurious patterns from arising because of observation, divided by the time span repeated chance alignments of the same between that full moon and the subsequent portions of the synodic cycle with storm full moon (i.e., the “synodic decimal”). Serial observations made at particular times of day; correlation among successive temperature or

5 for instance, in infrequent cases synodic days 32.4 ms-1). I partitioned the lunar spanned only 3 not 4 HURDAT observations. (29.53 d) into 30 equal intervals, or synodic

Analysis of the samples supported this “days.” A dominant peak in the occurrence of assumption: the four observation times had hurricane observations existed half way approximately equal representation on each between the new and full moon (Fig 2), with synodic day, each accounting for between 224 hurricane observations on day 24 (vs. a

22.8%-27.3% of the observations. low of 110 on day 10). The distribution of

Second, I reduced the data set to a single observations of hurricanes among the 30 observation (the starting point of the RIE) days of the spring-neap cycle appear similar from each storm, and tested these for non- in the first (1950-1978) and second (1979- uniformity across the lunar cycle using 2007) halves of the study period, and are

Watson’s U2 test (Zar, 1984), a correlated (r = 0.61, P =0.0003; Fig 2). nonparametric test for circular data that Systems with sub-hurricane wind speeds also employs rankings of observations: show a single dominant peak, shifted nearly a

2 2 2 U = ∑ui – (∑ui )/n – (2/n)(∑iui) + week earlier on the cycle (Fig 3).

(n + 1)ū + n/12 Mean wind speeds of tropical systems where u is the synodic decimal of a given (of all strengths) also showed a peak cyclone or temperature observation. approximately half way from the new to the

full moon; mean speeds ranged from 93.9

3. RESULTS kph (26.1 ms-1) on days 13 and 18 to 115.7

3.1 Distribution of hurricanes and cyclone kph (32.1 ms-1) on day 23 (Fig 4). The wind speeds across the spring-neap tidal distribution of mean wind speeds among cycle synodic days was correlated between the first

Removal of HURDAT observations and second halves of the study period (r = outside June-November or within 3 d after 0.46, n = 30, P = 0.0099; Fig 4). being over land left 12,429 observations, of To examine geographical variation, I which 4490 were of hurricanes (wind speed ≥ used all tropical cyclones, including

6 depressions, to boost the sample size to systems had two RIE, and two had three accommodate geographical subdivision. The each (Jeanne and Lisa, both in 2004); the three regions below 350N showed a single greatest RIE was selected for each. consistent pattern in cyclone occurrence, Seventy-five systems in HURDAT had no RIE dominated by a new-moon peak (Fig 5). and were excluded.

Tropical cyclones above the 35th parallel RIE inceptions were distributed non- appear to be phase shifted from these by uniformly around the lunar synodic cycle

~7d. Exploratory movement of this latitudinal (Watson’s U2 = 0.1962, N = 534, P = 0.0416; boundary (in units of 50) indicated that Fig. 6). RIEs were concentrated around the splitting the Atlantic at 350N produced the new moon, with a lesser concentration most concise change of pattern. After being around the full moon. Centered on the new smoothed by a 5d running mean, the moon, days 11-21 averaged 21.4 RIE amplitude of the peaks and troughs of the inceptions/day over the 58 years; all but day four distributions was similar: peak daily 15 were above the mean (17.8) of the 30 d. means were 63% higher than lows in all The seven days centered on the full moon regions except the southwestern open averaged 18.1 RIE/day, and contained four of

Atlantic, where they differed by 79%. Thus, the remaining five above-average days. In the Gulf of Mexico and Caribbean Sea did not contrast, the 14 days between these peak show reduced lunar influence as a periods averaged 14.3 RIE/day. Thus, the consequence of their limited ocean tidal peak period centered on the new moon fluctuations, a potential inconsistency with the averaged 49% more RIE per day than the 6-7 tidal mixing hypothesis. days on each side of it.

3.2 Onset of rapid intensification 3.3 Distribution of sub-surface

A total of 534 tropical systems exhibited at temperatures across the spring-neap tidal least one Rapid Intensification Event (RIE) of cycle

≥ 15 kt within a 24 h period. Twenty of these

7 After graphing mean 35-150 m pass on days with warmer long term mean temperatures on the lunar synodic cycle temperatures (5 day running means for each

(divided into 30 “days”) and smoothing using date measured over life span of mooring) a five day running mean, temperatures at than passing storms without RIE (18.30 vs. each site were dominated by a single peak 18.20C at 120N, 22.40C for both groups at near the new moon. Maxima at all three 150N; one-tailed p > 0.3 for both in Wilcoxon moorings were between days 15-18. Thus, Two Sample tests). the peak in sub-surface temperature occurred These two Pirata sites are only 333 km during the same lunar phase as did inception apart and thus do not represent fully of storm RIE, near the new moon. The independent tests, and the Bermuda Testbed occurrence of RIE in storms passing these site could not be analyzed in this respect moorings was also related to the sub-surface because only one cyclone passing within 500 temperatures they reported at the time of km experienced rapid intensification. Also, closest passage: cyclones passing within while the 150N mooring showed sub-surface

500 km of the 120N mooring that were temperature variations across the lunar cycle experiencing RIE (n = 10) did so at times of that were correlated between the first and warmer 35-150m temperatures than those second halves of its years of record (r = 0.58, not undergoing rapid intensification (n = 11), n=30, p=0.0009, using raw means vs. although this pattern was only marginally smoothed values), neither Bermuda Testbed significant (Wilcoxon Two Sample Test, Z = (r = -0.03, n=30, p = 0.8828), nor the 120N

1.37, one-tailed p = 0.0849). Temperature site (r = 0.14, n = 30, P = 0.4601) showed data at the 150N mooring suggested the consistent patterns in the first and second same pattern (n = 12 cyclones with RIE, 13 halves of their records. The magnitude of without RIE; Z = 0.95, p = 0.1706). These variations potentially created by the spring- results were not just a consequence of neap cycle was low, with peaks and troughs storms having RIE during warmer times of the on the smoothed graphs separated by only ; storms experiencing RIE did not 0.1-0.20C at each site. The similarity of the

8 RIE distribution and the timing of peak sub- temperatures and the tendency of passing surface temperatures at all three moorings storms to rapidly intensify.

(Fig. 1) is consistent with the tidal mixing The strength of the lunar pattern in hypothesis, but the inter-annual inconsistency cyclone activity was greater than expected. of these temperature patterns at two Peak lunar days had nearly 50% more moorings, and their small magnitude, and the intensification events, an ~80% increase in lack of explanation for the dominance of the hurricane occurrence, and a ~15 kph (4 ms-1) new moon peak make interpretation difficult.. increase in wind speed relative to the low

points in the lunar cycle. Although variation

4. DISCUSSION of cyclone activity on the spring-neap cycle

This study has documented significant has been absent from the scientific literature variations in hurricane occurrence and in recent decades, it is not a new idea. cyclone wind speed with lunar phase, which Charles Smiley (1954) proposed that the have been consistent over the last half atmospheric influence hurricanes century and across the tropical and (but was criticized by Jordan, 1955). A subtropical Atlantic. While hurricane decade later a more comprehensive study of occurrence and cyclone wind speed exhibited Atlantic hurricanes (Bradley, 1964) showed a a single dominant peak half way between the broad new moon peak and smaller full moon new and full , rapid intensification peak in formation dates, and another showed events peaked more directly on the new that formation dates of depressions (which moon. This new moon peak matched a new often develop into cyclones) in the Indian moon peak in subsurface ocean Ocean near also varied across the temperatures at each of three long term synodic cycle (Visvanathan, 1966). moorings, and the pair of moorings in the Carpenter et al. (1972) reported new moon eastern tropical Atlantic showed marginally and (smaller) full moon peaks in cyclone significant associations between subsurface formation dates, in both the North Atlantic

and Western Pacific. The latter study

9 reported only a ~20% increase in cyclone temperature remains imperfectly understood formations at their peak in the lunar synodic (e.g., Evans, 1993; Michaels et al., 2006). cycle. The stronger pattern found in the One modeling study that specifically present study is presumably attributable to simulated cyclones mixing upper ocean the improvements in data availability and waters beneath their eye walls showed quality in recent decades, and to the ability to intensification to be significantly reduced by now examine wind speed rather than merely surface cooling of 1.0 C0 and halted by storm formation dates. cooling of 2.5 C0 (Pasquero and Emanuel,

Earlier studies were unable to identify the 2008). More study is needed to determine forcing mechanism(s) creating lunar variation the relationship of near-surface water in tropical cyclones, but emphasized the temperatures to cyclone intensification in the atmospheric tide, which is widely recognized context of storm-induced mixing. as being only a weak influence in the The peak timing of intensification events at (American Meteorological the spring tide is also puzzling, since

Society, 2009). The influence of ocean upwelling might be expected to be greatest at warmth on cyclones makes oceanic that time. However, surface cooling caused processes a logical place to look for an by breaking of internal tidal bores along the explanation, especially in light of recent Pacific Coast of the USA was also reported to discoveries revealing that large amounts of peak at the neap tides at most sites (Pineda tidal energy are dissipated in the open ocean. 1991, 1995). The dominance of the new

However, the evidence presented here is not moon peak over the full is also curious; full yet sufficient to conclusively identify this as a and new moon tidal heights along shorelines primary forcing factor. It is unclear whether are generally similar. This new moon the 0.1-0.20C variations in temperature on the dominance is evident in the timing of RIE, but spring-neap cycle are sufficient to produce dominance of a single peak is even more substantial variations in storm intensity. The pronounced in the timing of hurricane relationship of cyclone wind speed to ocean observations and mean wind speeds. The

10 simple notion that intensification progresses While the moorings each showed a peak with the amount of time spent in favorable in temperature between day 15-18 on the ocean conditions might help explain this. If lunar synodic cycle, serial correlation made it the RIE distribution is taken to approximate difficult to verify these patterns. Only one site the favorability of conditions for showed a pattern that was significantly intensification, its short full moon peak might correlated between the first and second at times provide too few days for strong halves of the mooring temperature record. to develop, while the longer new moon peak Unfortunately, long term subsurface may be more likely to provide sufficient time. temperature data at consistent locations are

This could cause hurricane observations or scarce (Swain et al., 2006). Altimeter mean wind speeds to be even more heavily readings are used to estimate the depth of dominated by a single peak (after the new the surface mixed layer (Gino and Trinanes, moon) than is RIE. This would also explain 2003), but the ability of altimeter readings to why the hurricane frequency and mean wind resolve events of upward mixing of cold water speed peaks are ~ 7d later than for RIE or for into the thermocline area from below need to less intense storms. be resolved. Analysis of additional mooring

The weakness of tides in the Gulf of sites may not be productive until several

Mexico and Caribbean Sea might have been years pass and allow more data to expected to limit the influence of tidal accumulate at additional sites. Data that are processes there. To the contrary, the more central to the areas of most frequent amplitude of the variations of hurricane tropical cyclone intensification would be occurrence with lunar phase were as large especially valuable. Further study of the here as in the open Atlantic. This might be relationship of tidal processes to tropical partially explained by the relatively large cyclones is important, given the potential portion of this area that is close to shelf benefit that the predictability of tidal edges or other topographic complexities that processes would confer to cyclone could amplify tidal mixing. forecasting. Additional analyses in the

11 Pacific and Indian Oceans would provide and the formation of hurricanes and valuable insight, as well as detailed tropical storms. Mon. Weath. Rev., 100, examinations of the influence of subsurface 451-460. ocean temperatures on individual storms. Cresswell G.R., Badcock, K.A., 2000: Tidal

mixing near the Kimberley coast of NW

ACKNOWLEDGEMENTS , Marine and Freshwater

The author thanks Robert Rohli, Barry Keim, Researc,. 5, 641 – 646.

Gabriel Vecchi, and E. K. Bigg for their Egbert G.D., Ray R.D., 2000: Significant helpful comments. The National Hurricane dissipation of tidal energy in the deep

Center provided HURDAT data, the Ocean ocean inferred from satellite altimeter

Physics Laboratory at the University of data. Nature, 405, 775-778.

California-Santa Barbara provided data from Evans, J., 1993: Sensitivity of tropical the Bermuda Testbed, and the TAO project cyclone intensity to sea surface office of NOAA/PMEL provided PIRATA data. temperature. J. , 6, 1133-1140.

Garrett, C., 2003: Enhanced internal tides

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14

Figure One. Map of study area showing locations of moorings (triangles). Gray denotes

HURDAT observations used in the study.

15 Hurricanes

300

250

200

150

100 # observations #

50

0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 lunar phase

Hurricanes Hurricanes 1950-1978 1979-2007 140 140

120 120

100 100

80 80

60 60 # observations # # observations # 40 40

20 20

0 0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 lunar phase lunar phase

Figure Two. Timing of hurricane occurrence (HURDAT observations) by lunar phase from

1950 to 2007, and separately in the first and second halves of this study period.

16 Depressions, Tropical and Subtropical Storms 350

300

250

200

150

# observations # 100

50

0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 lunar phase

Figure Three. Timing of tropical depressions, and tropical and subtropical storms

(HURDAT observations) by lunar phase from 1950 to 2007

17 Mean Cyclone Wind Speed

120

115

110

105

100

95 speed(kph) 90

85

80 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 lunar phase

Mean Cyclone Wind Speed Mean Cyclone Wind Speed 1950-1978 1979-2007

140 120

130 110 120

110 100 speed(kph) speed(kph) 100 90 90

80 80 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 lunar phase lunar phase

Figure Four. Tropical cyclone wind speeds in relation to the lunar synodic cycle from 1950 to 2007, and separately in the first and second halves of this study period.

18 Gulf and Caribbean Atlantic Ocean North of 35th Parallel 120 120 110 110 100 100 90 90 80 80 70 70 60 60 50 50

40 40

# observations # # observations # 30 30 20 20 10 10 0 0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 lunar phase lunar phase

Atlantic Ocean Atlantic Ocean South of 35 N, West of 55 W South of 35 N, East of 55 W

220 220 200 200 180 180 160 160 140 140 120 120 100 100

80 80 # observations # # observations # 60 60 40 40 20 20 0 0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 lunar phase lunar phase

Figure Five. Tropical cyclone observations in four subdivisions of the Atlantic Ocean, in relation to the lunar synodic cycle.

19 Rapid Intensification Events

30

25

20

15

10 # of events of #

5

0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 Lunar Phase

Figure Six. Timing of onset of rapid intensification events for Atlantic tropical cyclones in relation to the lunar synodic cycle.

20 12N 38W PIRATA Mooring

19.00

18.95

18.90

meantemperature 18.85

18.80 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 lunar phase

15N 38W PIRATA Mooring

22.60

22.55

22.50 meantemperature 22.45

22.40 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 lunar phase

Bermuda Testbed

21.65

21.60

21.55

21.50 meantemperature 21.45

21.40 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 lunar phase

21 Figure Seven. Mean ocean temperatures at sensor depths between 35-150 m at three ocean moorings, in relation to the lunar synodic cycle.

22