Dynamics of the surface wind eld over the equatorial Indian Ocean

Size: px
Start display at page:

Download "Dynamics of the surface wind eld over the equatorial Indian Ocean"

Transcription

1 Q. J. R. Meteorol. Soc. (24), 13, pp doi: /qj.3.79 Dynamics of the surface wind eld over the equatorial Indian Ocean By STEFAN HASTENRATH and DIERK POLZIN Department of Atmospheric and Oceanic Sciences, University of Wisconsin, Madison, USA (Received 12 May 23; revised 4 September 23) SUMMARY The annual cycle and interannual variability of the equatorial westerlies over the Indian Ocean are examined in the context of the equations of motion, using long-term surface ship observations. Eastward pressure gradient along the equator may accelerate equatorial westerlies, but the process is more intricate. The south Indian Ocean trade winds can recurve in the southern hemisphere only with an eastward pressure gradient. This is counteracted by the Coriolis acceleration directed at right angles to the left of the motion. With weak trades and strong eastward pressure gradient, the ow can recurve at relatively high southern latitudes, thus allowing a broad equatorial zone in which westerlies can develop. In the annual cycle, the southern Indian Ocean high and trade winds are closest to the equator and strongest in austral winter when, however, the eastward pressure gradient in the equatorial zone is also steepest. Accordingly, the latitude of ow recurvature in the southern trade winds stays farthest away from the equator in boreal spring and autumn. Consequently, the equatorial westerlies peak in these short transition seasons. The boreal autumn equatorial westerlies are the surface manifestation of a powerful zonal circulation cell along the Indian Ocean equator. The interannual variability of boreal autumn is characterized by weak westerlies accompanying a slack zonal pressure gradient and strong southern trade winds with recurvature near the equator. Such an ensemble of circulation departures is characteristic of abundant rainfall in East Africa and de cient precipitation in Indonesia. KEYWORDS: Boreal autumn Equatorial westerlies Rainfall anomalies Zonal gradients 1. INTRODUCTION The surface ow eld over the tropical oceans is dominated by the trade wind airstreams from the two hemispheres meeting in a con uence in the equatorial zone. Based on long-term ship observations (Hastenrath and Lamb 1977, 1979), the dynamics and climatology of surface ow over the equatorial oceans were diagnosed in a study a quarter of a century ago (Hastenrath and Lamb 1978; Hastenrath 1985). The con uence is embedded in a near-equatorial trough of low pressure, which over the Atlantic and eastern and central Paci c is located in the northern hemisphere all the year round. With a trough position near the equator, over the western Atlantic and central Paci c and particularly in boreal winter, the cross-equatorial airstream from the southern hemisphere continues to be south-easterly all the way to the con uence. By contrast, over the eastern Atlantic and Paci c and especially in boreal summer, the near-equatorial trough is displaced far poleward; the cross-equatorial ow from the southern hemisphere, in response to the Coriolis acceleration, recurves from south-easterly to south-westerly, and this to the north of the equator, for lack of a very strong zonal pressure gradient. Between equator and recurvature latitude a band of divergence develops, the Intertropical Divergence Zone (ITDZ, Hastenrath 22); further downstream beyond the recurvature latitude this gives way to a band of convergence straddling the wind con uence, the Intertropical Convergence Zone (ITCZ). Remarkably different conditions are found over the Indian Ocean. During boreal summer, the south Indian Ocean trade winds sweep across the equator to continue as the south-west monsoon into southern Asia. In boreal winter, surface ow emanating from south Asia crosses the equator to meet the south Indian Ocean trades along a con uence located in the southern hemisphere. Only in the two short transition periods between the summer and winter monsoons do strong westerlies sweep the equatorial Corresponding author: Department of Atmospheric and Oceanic Sciences, University of Wisconsin, 1225 West Dayton Street, Madison, WI 5376, USA. slhasten@facstaff.wisc.edu c Royal Meteorological Society,

2 54 S. HASTENRATH and D. POLZIN 4 6 E 9 1 N SPW, SVW, STW UEQ, V PN PE SJB RON 1 S PW SIW SIP PS SPE, SVE, STE Figure 1. Orientation map showing domains of indices. Solid lines delineate: the indices of equatorial westerlies UEQ and meridional wind component v (4 B N 4 B S, 6 9 B E), of total wind speed in the downstream portion of the south Indian Ocean trades SIW (4 12 B S, 6 9 B E); and the pressure indices PW (8 B N 8 B S, 4 5 B E) and PE (8 B N 9 B S, 9 1 B E). PWE D PW PE represents the zonal pressure gradient along the equator. LUZ indicates the latitude of zero zonal wind, that is the recurvature from south-easterly to south-westerly ow; similarly, LVZ is the latitude of zero meridional wind, that is the wind con uence, both are compiled for the longitude domain 6 9 B E. Dashed lines delineate: the index of pressure on the equatorward side of the south Indian Ocean high SIP (12 2 B S, 6 9 B E); indices of pressure to the north PN (4 1 B N, 6 9 B E) and south of the equator PS (4 1 B S, 6 9 B E). PNS D PN PS represents the meridional pressure gradient across the equator. Dash-dotted lines indicate: the pressure, wind, and SST indices SPW, SVW, STW, respectively, in a western domain (1 B N 5 B S, B E); and the corresponding indices SPE, SVE, STE in an eastern domain (5 15 B S, 9 1 B E). Dotted lines denote the rainfall indices RON for the East African coast and SBJ for Indonesia (5 B N 1 B S, 1 12 B E). Indian Ocean. Throughout the year, recurvature of ow from an easterly to a westerly component takes place in the hemisphere from where the airstream originates, unlike the equatorial eastern Atlantic and Paci c. The boreal autumn equatorial westerlies are the surface manifestation of a powerful zonal circulation cell (Hastenrath 2); they drive a jet in the upper hydrosphere (Wyrtki 1973; Hastenrath and Greischar 1991), they are tightly correlated with East African rainfall (Hastenrath et al. 1993), and only in very recent years have they received renewed attention (Behera et al. 1999; Birkett et al. 1999; Saji et al. 1999; Webster et al. 1999; Murtugudde et al. 2; Baquero- Bernal et al. 21; Philippon et al. 22; Hastenrath and Polzin 23; Black et al. 23; Clarke et al. 23;Lau and Nath 24). Accordingly, the dynamics of surface ow over the equatorial Indian Ocean merit further exploration. This is the objective of the present study. Section 2 describes the data, section 3 summarizes essential background, sections 4 and 5 diagnose the annual cycle and the interannual variability during the boreal autumn season of equatorial westerlies, and a synthesis is offered in the closing section DATA Long-term surface ship observations stemming from the same source as used in our atlases (Hastenrath and Lamb 1977, 1979) are available in the Comprehensive Ocean Atmosphere Data Set (COADS) collection, with spatial resolutions of 2 and 1 degree latitude longitude squares (Woodruff et al. 1987, 1993). Of interest here are wind, pressure and sea surface temperature (SST) for the period As in earlier work (Hastenrath et al. 1993), various indices were compiled for the domains indicated in Fig. 1: UEQ (4 B N 4 B S, 6 9 B E) represents the zonal wind along the Indian Ocean equator and v the meridional wind component in the same domain; SIW (4 12 B S, 6 9 B E) represents the total wind speed in the downstream part of the south Indian Ocean trades. For the same longitude domain, LUZ is an index of the latitude of zero

3 SURFACE WIND DYNAMICS OVER THE INDIAN OCEAN 55 zonal wind, that is the recurvature from south-easterly to south-westerly ow. Similarly, LVZ is an index of the latitude of zero meridional wind, that is the wind con uence. PW (8 B N 8 B S, 4 5 B E) describes the pressure at the western, and PE (8 B N 8 B S, 9 1 B E) at the eastern extremity of the basin, and PWE D PW PE represents the zonal pressure gradient along the equator. For the same western and eastern domains TW and TE are the respective indices of SST. The index PN (4 1 B N, 6 9 B E) denotes the pressure to the north and PS (4 1 B S, 6 9 B E) to the south of the equator; PNS D PN PS is the meridional pressure gradient across the equator. SIP (12 2 B S, 6 9 B E) captures the pressure on the equatorward ank of the south Indian Ocean high. The indices of pressure, SPW, of total wind speed, SVW, and of SST, STW, were compiled for a domain in the west (1 B N 5 B S, B E), and the corresponding indices SPE, SVE, STE for a domain in the east (5 15 B S, 9 11 B E). October November rainfall is captured by the index RON for East Africa and SJB (Sumatra, Java, Borneo) for Indonesia (Hastenrath and Polzin 23). 3. BACKGROUND The annual cycle of the surface wind eld over the Indian Ocean is dominated by the alternation between the boreal winter (Fig. 2(a)) and summer monsoons (Fig. 2(c)). Strong westerlies along the equator are limited to the short transition seasons between the monsoons (Figs. 2(b) and (d)). In boreal winter (Fig. 2(a)) the surface ship observations show ow from southern Asia recurving near the equator and a con uence in the southern hemisphere; in boreal spring (Fig. 2(b)) recurvature to the south of the equator and con uence in the equatorial region; in boreal summer (Fig. 2(c)) southern hemispheric trade winds recurving near the equator and not reaching any con uence within the map domain; and in boreal autumn (Fig. 2(d)) recurvature of southern trade winds near the equator and con uence in the equatorial zone. For the dynamics of the time-averaged ow, the equations of motion detailed before (Hastenrath and Lamb 1978; Hastenrath 1985) can be simpli ed. Two equations are pertinent here. The vector equation of motion can be written dv dt D f k V rp C F: (1) The rst component equation of motion simpli es at the latitude of recurvature (u D ) D : (2) Following conventional notation, V is the horizontal wind vector, u and v its eastward (x) and northward (y) components, k is a vertical unit vector, F is the frictional force per unit mass; is speci c volume, p is pressure, f is the Coriolis parameter, and r is the horizontal r operator. 4. ANNUAL CYCLE With the focus on the central equatorial Indian Ocean and with the background of the maps for the cardinal months in Fig. 2, Fig. 3 highlights the characteristics of the average annual cycle of circulation by indicative indices (Fig. 1). Regarding the meridional component, the diagram illustrates the alternation between the boreal winter northerly and summer southerly wind component(v, Fig. 3(a);

4 56 S. HASTENRATH and D. POLZIN Figure 2. Surface wind elds for: (a) January, (b) April, (c) July, (d) October. Isotach spacing is 2 m s 1. Shading highlights the domain of index UEQ (see Fig. 1).

5 SURFACE WIND DYNAMICS OVER THE INDIAN OCEAN m s -1 1 a J F M A M J J A S O N D J v b V 5 m s m s -1 c UEQ +1 mb d PNS 118 mb e SIP +5 f SIW N S 1 S 5 +4 mb g LVZ h LUZ i PWE J F M A M J J A S O N D J Figure 3. Annual cycle of indicative elements: (a) meridional wind component v in the domain of index UEQ (4 B N 4 B S, 6 9 B E) in m s 1 ; (b) wind vector V in the domain of UEQ, scaled by reference to the given 5 m s 1 vector; (c) zonal wind component in the domain of UEQ in m s 1 ; (d) pressure difference across the equator, PNS, in mb; (e) pressure on the equatorward side of the south Indian Ocean high, SIP (12 2 B S, 6 9 B E), in mb; (f) total wind speed in the downstream portion of the southern Indian Ocean trades, domain SIW (4 12 B S, 6 8 B E), in m s 1 ; (g) latitude of surface wind con uence (v D zero), LVZ; (h) latitude of the recurvature of cross-equatorial ow (u D zero), LUZ; (i) zonal pressure difference PWE, in mb. See Fig. 1 for details of indices.

6 58 S. HASTENRATH and D. POLZIN V, Fig. 3(b)), along with the seasonal reversal of PNS (Fig. 3(d)). Broadly opposite to this runs the annual cycle of SIP (Fig. 3(e)). This, as well as the SIW (Fig. 3(f)), are strongest in the austral winter. Consistent with the reversal in PNS (Fig. 3(d)) and wind direction (v, Fig. 3(a); V Fig. 3(b)), the surface wind con uence between the airstreams from the two hemispheres sits to the south of the equator in boreal winter and far to the north in summer (LVZ, Fig. 3(g)). More intriguing are the dynamics of the zonal component. The annual cycle of PWE (Fig. 3(i)) results from the approximately inverse variations of PW and PE (not shown here), with PW having its maximum and PE its minimum in boreal summer, so that PWE becomes strongest in that season of the year (Fig. 3(i)). UEQ is also weaker in boreal winter and stronger in the summer half-year, but it reaches maxima around April May and October November (Fig. 3(c)). This discrepancy between the zonal wind and zonal pressure gradient along the Indian Ocean equator raises the question: what controls the strength of the equatorial westerlies? Consider the latitude at which ow recurves from an easterly to a westerly component (LUZ, Fig. 3(h)). The more poleward such recurvature takes place, the broader the band within which westerlies can develop in the equatorial belt. The weak PWE during boreal winter (Fig. 3(i)) is in any case unfavourable for westerly ow, but why do the strongest westerlies occur in the transition seasons rather than at the core of boreal summer (u, Fig. 3(c)), when the PWE is strongest (Fig. 3(i))? For the downstream portion of the trade wind south-easterlies in the southern hemisphere consider the imbalance of the Coriolis and pressure gradient terms in Eq. (1). In boreal winter the eastward PWE acceleration is weak (Fig. 3(i)), matching the Coriolis term and thus accomplishing recurvature only at very low latitude. At the height of boreal summer the PWE acceleration is strong (Fig. 3(i)), but then the southern trade winds are also strong (SIW, Fig. 3(f)) so that the Coriolis term allows recurvature only at very low latitude. In the transition seasons, the PWE (Fig. 3(i)) is not at its strongest, but the SIW is also weaker than at the peak of austral winter (Fig. 3(f)). Consequently, in these seasons LUZ can occur at relatively high southern latitudes, as compared to the boreal winter and the core of the summer half-year (Fig. 3(h)). Equation (2) shows that recurvature before reaching the equator can take place only with suf ciently strong eastward pressure gradient: at the recurvature latitude the left-hand term is zero, the rst righthand term is negative, so the second right-hand term must be suf ciently large positive. Compare the timing of extrema (LUZ, PWE, u, Figs. 3(h), (i), and (c)): the maxima of the westerly wind (May, October) are timed between the favourable highest southern latitude of recurvature (April, November) and the favourable strongest eastward pressure gradient (July). The equatorial westerlies are somewhat better developed in boreal autumn than in spring (Fig. 3(c)), so it is appropriate to compare the underlying factors. Regarding spring, April has as favourable factors: weak PNS, weak SIP, and weak SIW; but the weak PWE is unfavourable (Figs. 3(d), (e), (f) and (i)). In May, the favourable PWE has strengthened, but this is now counteracted by the unfavourable accelerated SIW which accompany the rising SIP, the steepened PNS, and concomitant southerly wind component (v/ in the equatorial zone (Figs. 3(i), (f), (e), (d) and (a)). Consistent with this, LUZ draws closer to the equator (Fig. 3(h)). By comparison, in boreal autumn conditions remain favourable through October and November (Figs. 3(i), (f), (e), (d), (a) and (h)): PWE weakens somewhat, but this is paralleled by the favourable weakening of the SIW, which accompany the decrease in SIP, PNS and v; in conjunction, these allow for a more southerly location of LUZ and equatorial westerlies little diminished from October to November.

7 SURFACE WIND DYNAMICS OVER THE INDIAN OCEAN 59 TABLE 1. MATRIX OF CORRELATION COEFFICIENTS UEQ PWE LUZ SIW PWE C86** LUZ 94** 78** SIW 68** 45** C68** SIP 54** 46** C46** C4* Values are given in hundredths, with one and two asterisks denoting signi cance at the 5% and 1% levels, respectively. The period is and time series are of October November values. See Fig. 1 for details of the circulation indices. These considerations for the average annual cycle are also relevant to the study of interannual variability, which is of particular interest for the boreal autumn circulation. 5. BOREAL AUTUMN The equatorial westerlies of boreal autumn are the surface manifestation of a powerful zonal circulation cell along the Indian Ocean equator, which plays an important role in the climate dynamics of the region: the westerlies are correlated at.85 with East African rainfall, arguably the highest such correlation on the planet, and positively with precipitation over Indonesia (Hastenrath et al. 1993; Hastenrath 2; Hastenrath and Polzin 23). Accordingly, the circulation mechanisms related to the origin and maintenance of the equatorial westerlies, and diagnosed from Eqs. (1) and (2), merit attention regarding the annual cycle and, more particularly, concerning the interannual variability of boreal autumn. In this spirit, Table 1 presents the relation between pertinent circulation components, and the time series plots in Fig. 4 illustrate their interannual variability. Table 1 shows that years with strong UEQ are favoured by strong eastward PWE, which according to Eq. (2) allows LUZ at relatively high southern latitudes, which in turn favours the westerlies in the UEQ. Weak SIP is accompanied by weak SIW, and these according to Eqs. (1) and (2) allow a relatively high southern latitude LUZ, which again favours the high UEQ index. SIP and SIW, plausibly, vary somewhat in the same sense. They both tend to be weaker with steeper PWE, and thus cooperate with it in favouring the UEQ. The correlation between SIP and PWE results from the spatial coherence with the pressure in the east, the correlation between SIP and PE being C.7. The time series plots in Fig. 4 exhibit the concurrent variability in the pertinent elements over four decades and, more particularly, serve to highlight years with extreme departures in UEQ. Various earlier studies (Thompson and Morth 1965; Lamb 1966; Hastenrath 1984, 21; Reverdin et al. 1986; Kapala et al. 1994; review in Hastenrath and Polzin 23) called attention to the years 1961, 1994 and These featured weak equatorial westerlies (Fig. 4(a)), abundant boreal autumn rainfall in East Africa (Fig. 5(a)), and concurrently de cient precipitation in Indonesia (Fig. 5(b)). In the same vein, over the period the UEQ indices have correlations of.84 with RON values, of C.79 with SJB values, and RON and SJB are correlated at.62, all signi cant at better than the 1% level (Hastenrath and Polzin 23). These extremely tight teleconnections between the climate of the western and eastern extremities of the equatorial Indian Ocean basin must be seen in the context of the boreal autumn equatorial zonal circulation cell and concomitant zonal contrasts in vertical motion (Hastenrath 2: Hastenrath and Polzin 23); such cells require well developed zonal ow in the lower troposphere (Hastenrath et al. 22).

8 51 S. HASTENRATH and D. POLZIN +5 m s -1 a UEQ 2 +4 mb +2 b PWE c LUZ N S 5 +7 m s d SIW mb 15 e SIP Figure 4. Time series plots of selected indices (see Fig. 1 for locations): (a) UEQ, in m s 1 ; (b) PWE, in mb; (c) LUZ, in degrees of latitude; (d) SIW, in m s 1 ; (e) SIP, in mb 1. Open circles highlight the extreme years 1961, 1994, and 1997.

9 SURFACE WIND DYNAMICS OVER THE INDIAN OCEAN a RON b SJB -1 Figure 5. Time series plots of October November rainfall indices: (a) RON for East Africa, and (b) SJB for Indonesia. Open circles highlight the extreme years 1961, 1994, and See Fig. 1 for details of indices. It is noted from the comparison of time series in Fig. 4 that especially 1961 and 1997 also featured slack eastward PWE, far north LUZ, as well as strong SIW, and to a lesser extent SIP, all consistent with Table 1 in the sense of Eqs. (1) and (2). The maps of correlation with UEQ in Fig. 6 illustrate the larger spatial context. These re ect earlier results (Hastenrath et al. 1993) supported in later papers (Saji et al. 1999; Webster et al. 1999; Black et al. 23; Clark et al. 23; Hastenrath and Polzin 23). In particular, Fig. 6(a) shows for strong UEQ low pressure in the east as well as in a band extending from there westward to the south of the equator, consistent with the positive correlations of SIP with PWE (Table 1) and PE; and Figs. 6(b) and (c) feature weak winds in the downstream portion of the south Indian Ocean trades, the realm of SIW (contrasting with the trivially high positive correlations in the domain of UEQ). Complementing Figs. 6(a), (b) and (c), Fig. 6(d) maps the corresponding correlations with SST. It shows contrasting extrema at locations in the western and eastern extremities of the basin, similar to those for pressure in Fig. 6(a), but with signs reversed. Information on these domains is compacted in the indices SPW, SVW, STW, SPE, SVE. STE (see section 2 and Fig. 1). Table 2 details the associations among the indices and with UEQ. At the outset it should be noted that the concurrent correlations between SPW and SPE and between STW and STE are negligible, showing no evidence of temperature or pressure see-saws between the western and eastern domains. This notwithstanding, a strong positive association is apparent between STW and SPE, consistent in sign and magnitude with the strong negative correlations of UEQ versus STW and SPE. Regarding the shared variance between the three indices, the partial correlation coef cient for STW/SPE (with UEQ kept constant) drops to C.3, that for UEQ/STW to.3, while that for UEQ/SPE is much larger at.55; thus, of the 41% variance in the apparent STW/SPE correlation, only 9% is due to the STW/SPE associations as such and 32% to the variance shared through UEQ. Similarly, concerning the small negative STW/STE correlation in Table 2, the partial correlation for STW/STE (with UEQ kept constant) becomes larger positive (even less indicative of SST see-saw). Further, not included

10 512 S. HASTENRATH and D. POLZIN Figure 6. Maps of October November correlations with the October November equatorial westerlies index UEQ: (a) sea level pressure; (b) wind vector; (c) wind speed; (d) sea surface temperature (SST). Isoline spacing is.2, dashed lines indicate negative values, shading represents signi cance at the 5% level, and rectangles delineate the domain of index UEQ.

11 SURFACE WIND DYNAMICS OVER THE INDIAN OCEAN 513 TABLE 2. MATRIX OF CORRELATION COEFFICIENTS UEQ SPW SVW STW SPE SVE SPW C53** SVW C26 C16 STW 65** SPE 74** 8 19 C64** SVE 59** 27 6 C6** C55** STE C64** C16 C43** 23 4* 37* Values are given in hundredths, with one and two asterisks denoting signi cance at the 5% and 1% levels, respectively. The period is and time series are of October November values. See Fig. 1 for details of the circulation indices. in Table 2, there is much spatial coherence: correlations range from C.7 to C.9 for SPW/TW, SPE/PE, SIP/PE, STE/TE (Fig. 1). Regarding the eastern domain in Table 2, the negative correlations of UEQ with SPE and SVE are consistent with the above discussion and Table 1, and the negative correlation between SVE and STE is plausible from the wind effect (evaporation, stirring, Ekman transport) on SST. Figure 7 illustrates the seasonal evolution of correlations with UEQ, and shows an increase until October for SPE and STE, and to November for SVE. For the western domain matters appear more intriguing. Table 2 and Fig. 6 show correlations for UEQ with SPW are strongly positive, with SVW are positive, and with STW are strongly negative, all consistent with earlier ndings (Hastenrath et al. 1993). The seasonal evolution of correlations with UEQ of October November in Fig. 7 shows a strengthening through November for SPW, but only through October for SVW and STW. High pressure in the west through November is functionally favourable for strong equatorial westerlies; by contrast, the south-westerlies of the boreal summer monsoon, conducive to cold waters in the west (through evaporation, stirring, and Ekman-induced coastal upwelling), decay by October (Figs. 2(c) and (d)). With reference to Fig. 2, the maps of Figs. 6(b) and (c) indeed re ect for strong UEQ some lingering on of the summer south-west monsoon and delay of the winter north-east monsoon. Cold water anomalies in the west (Fig. 6(d)) are known to be characteristic of the wake of good Indian summer monsoons (Hastenrath and Polzin 23; Hastenrath et al. 1993). In synthesis from Table 2 and Figs. 6 and 7, UEQ may have departures concurrent with those in the east (SPE, SVE, STE; Figs. 6(a), (c) and (d)) in some years, and anomalies simultaneous with those in the west (SPW, SVW, STW; Figs. 6(a), (c) and (d)) in other years. Thus, the interannual variability of the boreal autumn equatorial westerlies is on the one hand associated with strong anomalies of pressure, wind and SST in an eastern domain, and on the other hand also with signi cant anomalies in a western domain, although there is little common variance between SSTs in the west and east, nor between pressure in the west and east. The characteristics of the basin-wide surface wind eld identi ed in Figs. 6(a) and (b) are also relevant to climatic change on longer time-scales. Thus, in the era of abundant rainfall, high lake stands and extensive mountain glaciers in East Africa before the 188 s, the boreal autumn equatorial westerlies and concomitant upper-hydrospheric Wyrtki Jet were slack, and the south Indian Ocean trades strong; this contrasts with fast westerlies and weak trade winds in the drier East African climate of the 2th century (Hastenrath 1975, 1984, 1994, 1997, 21; Hastenrath and Larson 1993). Consistent with this long historical background, a negative association between variability in the south Indian Ocean pressure and the equatorial westerlies appeared in a recent numerical modelling experiment (Lau and Nath 24).

12 514 S. HASTENRATH and D. POLZIN +1 1 J A S O N ON J A S +1 O N ON J A S O N ON 1 +1 J A S O N ON 1 Figure 7. Correlations between UEQ in October November and selected indices in July, August, September, October, November, and October November. Horizontal dashed lines denote signi cance at the 5% and 1% levels, respectively. See Fig. 1 for de nitions and domains of indices. A comparative evaluation for boreal spring, not detailed here, showed similar, albeit weaker, relationships regarding ow recurvature and pressure eld in the east; however, consistent with earlier ndings (Hastenrath et al. 1993), during spring pressure in the west and the SST eld exhibit no association with the equatorial westerlies. 6. CONCLUSIONS The characteristics of surface ow over the Indian Ocean differ markedly from the tropical Atlantic and Paci c, where the con uence between the airstreams from the two hemispheres lies to the north of the equator all the year round and zonal pressure gradients are weak. Over the western to central part of these oceans, the southern trade winds continue as south-easterlies right into the con uence; over the eastern part of the basins, and especially in boreal summer, the cross-equatorial ow from the southern hemisphere recurves, with the ITDZ extending from the equator to the recurvature, and the ITCZ from the recurvature northward to beyond the wind con uence. Drastically different circulation conditions are found over the great monsoon ocean. Most impressive and widely noted is the complete reversal of interhemispheric pressure gradient and cross-equatorial airstreams between the winter and summer monsoons. By comparison, only very recently has renewed attention been given to the short transition seasons between the monsoons, when surface westerlies sweep the central equatorial Indian Ocean. Building in particular on a study a quarter of a century ago

13 SURFACE WIND DYNAMICS OVER THE INDIAN OCEAN 515 (Hastenrath and Lamb 1978), the dynamics of the equatorial westerlies were examined here, drawing on the equations of motion and observational evidence. It is tempting to ascribe the equatorial westerlies of the spring and autumn transition seasons to the perennial eastward pressure gradient, but the details of the dynamics are essential. The eastward pressure gradient allows the southern trade winds to recurve before reaching the equator. The eastward pressure gradient is opposed by the Coriolis acceleration directed to the left of the wind. The latitude of recurvature depends on the imbalance between these two accelerations: with steep eastward pressure gradient and slow trade winds the ow can recurve relatively far south; with slack pressure gradient and fast trades the recurvature occurs only nearer to the equator. The farther south the recurvature takes place, the broader the equatorial band in which westerlies can develop. These elementary dynamics are pertinent to both annual cycle and interannual variability. Considering the annual cycle, recall that subtropical highs and trade winds tend to be closest to the equator and strongest in their respective winter. However, it so happens that the eastward pressure gradient in the equatorial zone of the Indian Ocean is also steepest during boreal summer. Consequently, the conditions most favourable for recurvature of the southern trade winds at relatively high southern latitudes are not found at the middle of the boreal summer half-year, but rather in spring and autumn, when the zonal pressure gradient is not yet at its peak and nor are the southern trade winds. It is during these short transition seasons that the recurvature is farthest south, allowing a broad equatorial band for the westerlies to develop. Of particular interest are the equatorial westerlies of boreal autumn which are part of a zonal circulation cell along the Indian Ocean equator, which in turn plays an important role in the climate dynamics of the region. The interannual variability of the boreal autumn equatorial westerlies must likewise be seen in the context of the equations of motion: weak westerlies accompany not only slack zonal pressure gradient but also fast ow in the downstream portion of the south Indian Ocean trade winds and a recurvature near the equator. Weak surface westerlies, in turn, entail a weak equatorial zonal circulation cell with weak vertical motion at the western and eastern extremities of the basin. Such circulation departures are typical of oods along the coast of East Africa and concurrent de cient rainfall in Indonesia. ACKNOWLEDGEMENTS This study is supported by NSF Grant ATM We thank the Editor and the anonymous reviewers for helpful comments. Baquero-Bernal, A., Latif, M. and Legutke, S. Behera, S. K., Krishnan, R. and Yamagata, T. Birkett, C., Murtugudde, R. and Allan, T. Black, E., Slingo, J. and Sperber, K. R. Clark, C. O., Webster, P. J. and Cole, J. E. REFERENCES 21 On dipole-like variability of sea surface temperature in the tropical Indian Ocean. J. Climate, 15, Unusual ocean atmosphere conditions in the tropical Indian Ocean during Geophys. Res. Lett., 26, Indian Ocean climate event brings oods to East Africa s lakes and the Sudd Marsh. Geophys. Res. Lett., 26, An observational study of the relationship between excessively strong Short Rains in coastal East Africa and Indian Ocean SST. Mon. Weather Rev., 131, Interdecadal variability of the relationship between the Indian Ocean zonal mode and East African coastal rainfall anomalies. J. Climate, 16, Hastenrath, S Glacier recession in East Africa. Pp in: Proceedings of the WMO/IAMAP symposium on long-term climatic variations, Norwich, England, August l975. WMO No. 421, Geneva, Switzerland

14 516 S. HASTENRATH and D. POLZIN Hastenrath, S The glaciers of equatorial East Africa. Reidel, Dordrecht, the Netherlands 1985 Climate and circulation of the tropics. Kluwer, Dordrecht, the Netherlands 1994 Recession of tropical glaciers. Science, 265, Recession of equatorial glaciers and global change. (Proceedings of 1993 Tashkent Glaciology Symposium, UNESCO-IUGG- IASH-ICSI). Data of Glaciological Studies (Moscow), 81, Zonal circulations over the equatorial Indian Ocean. J. Climate, 13, Variations of East African climate during the past two centuries. Clim. Change, 5, The Intertropical Convergence Zone of the eastern Paci c revisited. Int. J. Climatology, 22, Hastenrath, S. and Greischar, L The monsoonal current regimes of the tropical Indian Ocean: Observed surface ow elds and their geostrophic and wind-driven components. J. Geophys. Res. Oceans, 96, C7, Hastenrath, S. and Lamb, P Climatic atlas of the tropical Atlantic and eastern Paci c Oceans. University of Wisconsin Press, Madison, USA 1978 On the dynamics and climatology of surface ow over the equatorial oceans. Tellus, 3, Hastenrath, S. and Lamb, P. J Climatic atlas of the Indian Ocean, part I: Surface climate and atmospheric circulation. University of Wisconsin Press, Madison, USA Hastenrath, S. and Larson, N Secular changes in the Indian Ocean and western Paci c. Pp in Proceedings, of the international conference on regional environment and climate change in East Asia November December IUGG-IAMAS-ICSU-IGBP- IGAC-APARE, Taipei, Taiwan Hastenrath, S. and Polzin, D. 23 Circulation mechanisms of climate anomalies in the equatorial Indian Ocean. Meteorol. Z., 12, Hastenrath, S., Nicklis, A. and Greischar, L Atmospheric hydrospheric mechanisms of climate anomalies in the western equatorial Indian Ocean. J. Geophys. Res. Oceans, 98, C11, Hastenrath, S., Polzin, D. and Greischar, L. 22 Annual cycle of equatorial zonal circulations from the ECMWF reanalysis. J. Meteorol. Soc. Jpn, 8, Kapala, A., Born, K. and Flohn, H Monsoon anomaly or an El Nino event at the equatorial Indian Ocean? Catastrophic rains 1961/62 in East Africa and their teleconnections. Pp in Proceedings of the international conference on monsoon variability and prediction, May 1994, ICTP, Trieste, vol. I. WCRP-84, WMO/TD-No World Meteorological Organization, Geneva, Switzerland Lamb, H. H Climate in the 196s: Changes in the world s wind circulation re ected in prevailing temperatures, rainfall patterns and the levels of the African lakes. Geogr. J., 132, Lau, N. C. and Nath, M. J. 24 Coupled GCM simulation of atmosphere ocean variability associated with zonally asymmetric SST changes in the tropical Indian Ocean. J. Climate, in press Murtugudde, R. J. P., McCreary, P. and Busalacchi, A. J. Philippon, N., Camberlin, P. and Faucherau, N. Reverdin, G., Cadet, D. and Gutzler, D. 2 Oceanic processes associated with anomalous events in the Indian Ocean with relevance to J. Geophys. Res. Oceans, 15, C2, Predictability study of the October December East Africa rainy season using atmospheric and oceanic dynamics indicators. Q. J. R. Meteorol. Soc., 128, Interannual displacement of convection and surface circulation over the equatorial Indian Ocean. Q. J. R. Meteorol. Soc., 112, Saji, N. H., Goswami, B. N. and 1999 A dipole mode in the tropical Indian Ocean. Nature, 41, Vinayachandran, P. N. Thompson, B. W. and Mörth, H Notes from East Africa, No. 1. Weather, 2, Webster, P. J., Moore, A. M., Loschnigg, J. P. and Leben, R. R Coupled ocean atmosphere dynamics in the Indian Ocean during Nature, 41,

15 SURFACE WIND DYNAMICS OVER THE INDIAN OCEAN 517 Woodruff, S., Slutz, R., Jenne, R A Comprehensive ocean atmosphere data set. Bull. Am. and Steurer, P. Meteorol. Soc., 68, Woodruff, S., Lubker, S., Wolter, K., Worley, S. and 1993 Comprehensive Ocean Atmosphere Data Set (COADS) Release 1a: Earth Syst. Monit., 4, 1 8 Elms, J. Wyrtki, K An equatorial jet in the Indian Ocean. Science, 181,

ATMS 310 Jet Streams

ATMS 310 Jet Streams ATMS 310 Jet Streams Jet Streams A jet stream is an intense (30+ m/s in upper troposphere, 15+ m/s lower troposphere), narrow (width at least ½ order magnitude less than the length) horizontal current

More information

Chapter Overview. Seasons. Earth s Seasons. Distribution of Solar Energy. Solar Energy on Earth. CHAPTER 6 Air-Sea Interaction

Chapter Overview. Seasons. Earth s Seasons. Distribution of Solar Energy. Solar Energy on Earth. CHAPTER 6 Air-Sea Interaction Chapter Overview CHAPTER 6 Air-Sea Interaction The atmosphere and the ocean are one independent system. Earth has seasons because of the tilt on its axis. There are three major wind belts in each hemisphere.

More information

Lecture 4: Pressure and Wind

Lecture 4: Pressure and Wind Lecture 4: Pressure and Wind Pressure, Measurement, Distribution Forces Affect Wind Geostrophic Balance Winds in Upper Atmosphere Near-Surface Winds Hydrostatic Balance (why the sky isn t falling!) Thermal

More information

ENSO: Recent Evolution, Current Status and Predictions. Update prepared by: Climate Prediction Center / NCEP 29 June 2015

ENSO: Recent Evolution, Current Status and Predictions. Update prepared by: Climate Prediction Center / NCEP 29 June 2015 ENSO: Recent Evolution, Current Status and Predictions Update prepared by: Climate Prediction Center / NCEP 29 June 2015 Outline Summary Recent Evolution and Current Conditions Oceanic Niño Index (ONI)

More information

IGAD CLIMATE PREDICTION AND APPLICATION CENTRE

IGAD CLIMATE PREDICTION AND APPLICATION CENTRE IGAD CLIMATE PREDICTION AND APPLICATION CENTRE CLIMATE WATCH REF: ICPAC/CW/No.32 May 2016 EL NIÑO STATUS OVER EASTERN EQUATORIAL OCEAN REGION AND POTENTIAL IMPACTS OVER THE GREATER HORN OF FRICA DURING

More information

South Africa. General Climate. UNDP Climate Change Country Profiles. A. Karmalkar 1, C. McSweeney 1, M. New 1,2 and G. Lizcano 1

South Africa. General Climate. UNDP Climate Change Country Profiles. A. Karmalkar 1, C. McSweeney 1, M. New 1,2 and G. Lizcano 1 UNDP Climate Change Country Profiles South Africa A. Karmalkar 1, C. McSweeney 1, M. New 1,2 and G. Lizcano 1 1. School of Geography and Environment, University of Oxford. 2. Tyndall Centre for Climate

More information

Supporting Online Material for

Supporting Online Material for www.sciencemag.org/cgi/content/full/science.1182274/dc1 Supporting Online Material for Asian Monsoon Transport of Pollution to the Stratosphere William J. Randel,* Mijeong Park, Louisa Emmons, Doug Kinnison,

More information

Hurricanes. Characteristics of a Hurricane

Hurricanes. Characteristics of a Hurricane Hurricanes Readings: A&B Ch. 12 Topics 1. Characteristics 2. Location 3. Structure 4. Development a. Tropical Disturbance b. Tropical Depression c. Tropical Storm d. Hurricane e. Influences f. Path g.

More information

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 9 May 2011

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 9 May 2011 ENSO Cycle: Recent Evolution, Current Status and Predictions Update prepared by Climate Prediction Center / NCEP 9 May 2011 Outline Overview Recent Evolution and Current Conditions Oceanic Niño Index (ONI)

More information

The Prediction of Indian Monsoon Rainfall: A Regression Approach. Abstract

The Prediction of Indian Monsoon Rainfall: A Regression Approach. Abstract The Prediction of Indian Monsoon Rainfall: Goutami Bandyopadhyay A Regression Approach 1/19 Dover Place Kolkata-7 19 West Bengal India goutami15@yahoo.co.in Abstract The present paper analyses the monthly

More information

DIURNAL CYCLE OF CLOUD SYSTEM MIGRATION OVER SUMATERA ISLAND

DIURNAL CYCLE OF CLOUD SYSTEM MIGRATION OVER SUMATERA ISLAND DIURNAL CYCLE OF CLOUD SYSTEM MIGRATION OVER SUMATERA ISLAND NAMIKO SAKURAI 1, FUMIE MURATA 2, MANABU D. YAMANAKA 1,3, SHUICHI MORI 3, JUN-ICHI HAMADA 3, HIROYUKI HASHIGUCHI 4, YUDI IMAN TAUHID 5, TIEN

More information

Comment on "Observational and model evidence for positive low-level cloud feedback"

Comment on Observational and model evidence for positive low-level cloud feedback LLNL-JRNL-422752 Comment on "Observational and model evidence for positive low-level cloud feedback" A. J. Broccoli, S. A. Klein January 22, 2010 Science Disclaimer This document was prepared as an account

More information

The Oceans Role in Climate

The Oceans Role in Climate The Oceans Role in Climate Martin H. Visbeck A Numerical Portrait of the Oceans The oceans of the world cover nearly seventy percent of its surface. The largest is the Pacific, which contains fifty percent

More information

Relationship between the Subtropical Anticyclone and Diabatic Heating

Relationship between the Subtropical Anticyclone and Diabatic Heating 682 JOURNAL OF CLIMATE Relationship between the Subtropical Anticyclone and Diabatic Heating YIMIN LIU, GUOXIONG WU, AND RONGCAI REN State Key Laboratory of Numerical Modeling for Atmospheric Sciences

More information

Queensland rainfall past, present and future

Queensland rainfall past, present and future Queensland rainfall past, present and future Historically, Queensland has had a variable climate, and recent weather has reminded us of that fact. After experiencing the longest drought in recorded history,

More information

Indian Ocean and Monsoon

Indian Ocean and Monsoon Indo-French Workshop on Atmospheric Sciences 3-5 October 2013, New Delhi (Organised by MoES and CEFIPRA) Indian Ocean and Monsoon Satheesh C. Shenoi Indian National Center for Ocean Information Services

More information

Reply to No evidence for iris

Reply to No evidence for iris Reply to No evidence for iris Richard S. Lindzen +, Ming-Dah Chou *, and Arthur Y. Hou * March 2002 To appear in Bulletin of the American Meteorological Society +Department of Earth, Atmospheric, and Planetary

More information

Mechanisms of an extraordinary East Asian summer monsoon event in July 2011

Mechanisms of an extraordinary East Asian summer monsoon event in July 2011 GEOPHYSICAL RESEARCH LETTERS, VOL. 39,, doi:10.1029/2011gl050378, 2012 Mechanisms of an extraordinary East Asian summer monsoon event in July 2011 Kyong-Hwan Seo, 1 Jun-Hyeok Son, 1 Seung-Eon Lee, 1 Tomohiko

More information

ENVIRONMENTAL STRUCTURE AND FUNCTION: CLIMATE SYSTEM Vol. II - Low-Latitude Climate Zones and Climate Types - E.I. Khlebnikova

ENVIRONMENTAL STRUCTURE AND FUNCTION: CLIMATE SYSTEM Vol. II - Low-Latitude Climate Zones and Climate Types - E.I. Khlebnikova LOW-LATITUDE CLIMATE ZONES AND CLIMATE TYPES E.I. Khlebnikova Main Geophysical Observatory, St. Petersburg, Russia Keywords: equatorial continental climate, ITCZ, subequatorial continental (equatorial

More information

A decadal solar effect in the tropics in July August

A decadal solar effect in the tropics in July August Journal of Atmospheric and Solar-Terrestrial Physics 66 (2004) 1767 1778 www.elsevier.com/locate/jastp A decadal solar effect in the tropics in July August Harry van Loon a, Gerald A. Meehl b,, Julie M.

More information

The West African Monsoon Dynamics. Part I: Documentation of Intraseasonal Variability

The West African Monsoon Dynamics. Part I: Documentation of Intraseasonal Variability VOL. 16, NO. 21 JOURNAL OF CLIMATE 1NOVEMBER 2003 The West African Monsoon Dynamics. Part I: Documentation of Intraseasonal Variability BENJAMIN SULTAN AND SERGE JANICOT LMD/IPSL, CNRS, Ecole Polytechnique,

More information

Geography affects climate.

Geography affects climate. KEY CONCEPT Climate is a long-term weather pattern. BEFORE, you learned The Sun s energy heats Earth s surface unevenly The atmosphere s temperature changes with altitude Oceans affect wind flow NOW, you

More information

What Causes Climate? Use Target Reading Skills

What Causes Climate? Use Target Reading Skills Climate and Climate Change Name Date Class Climate and Climate Change Guided Reading and Study What Causes Climate? This section describes factors that determine climate, or the average weather conditions

More information

Interhemispheric Influence of the Atlantic Warm Pool on the Southeastern Pacific

Interhemispheric Influence of the Atlantic Warm Pool on the Southeastern Pacific 404 J O U R N A L O F C L I M A T E VOLUME 23 Interhemispheric Influence of the Atlantic Warm Pool on the Southeastern Pacific CHUNZAI WANG NOAA/Atlantic Oceanographic and Meteorological Laboratory, Miami,

More information

Canadian Prairie growing season precipitation variability and associated atmospheric circulation

Canadian Prairie growing season precipitation variability and associated atmospheric circulation CLIMATE RESEARCH Vol. 11: 191 208, 1999 Published April 28 Clim Res Canadian Prairie growing season precipitation variability and associated atmospheric circulation B. R. Bonsal*, X. Zhang, W. D. Hogg

More information

Distribution of seasonal rainfall in the East Asian monsoon region

Distribution of seasonal rainfall in the East Asian monsoon region TAC-0/679 For Author s Correction Only Theor. Appl. Climatol. 000, 1 18 (2002) DOI 10.1007/s00704-002-0679-3 1 Department of Atmospheric Sciences, Peking University, Beijing, China 2 Atmospheric Sciences

More information

Chapter 3: Weather Map. Weather Maps. The Station Model. Weather Map on 7/7/2005 4/29/2011

Chapter 3: Weather Map. Weather Maps. The Station Model. Weather Map on 7/7/2005 4/29/2011 Chapter 3: Weather Map Weather Maps Many variables are needed to described weather conditions. Local weathers are affected by weather pattern. We need to see all the numbers describing weathers at many

More information

Heavy Rainfall from Hurricane Connie August 1955 By Michael Kozar and Richard Grumm National Weather Service, State College, PA 16803

Heavy Rainfall from Hurricane Connie August 1955 By Michael Kozar and Richard Grumm National Weather Service, State College, PA 16803 Heavy Rainfall from Hurricane Connie August 1955 By Michael Kozar and Richard Grumm National Weather Service, State College, PA 16803 1. Introduction Hurricane Connie became the first hurricane of the

More information

How to analyze synoptic-scale weather patterns Table of Contents

How to analyze synoptic-scale weather patterns Table of Contents How to analyze synoptic-scale weather patterns Table of Contents Before You Begin... 2 1. Identify H and L pressure systems... 3 2. Locate fronts and determine frontal activity... 5 3. Determine surface

More information

2. The map below shows high-pressure and low-pressure weather systems in the United States.

2. The map below shows high-pressure and low-pressure weather systems in the United States. 1. Which weather instrument has most improved the accuracy of weather forecasts over the past 40 years? 1) thermometer 3) weather satellite 2) sling psychrometer 4) weather balloon 6. Wind velocity is

More information

Impact of the Indian Ocean SST basin mode on the Asian summer monsoon

Impact of the Indian Ocean SST basin mode on the Asian summer monsoon Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 34, L02708, doi:10.1029/2006gl028571, 2007 Impact of the Indian Ocean SST basin mode on the Asian summer monsoon Jianling Yang, 1 Qinyu Liu,

More information

THE CURIOUS CASE OF THE PLIOCENE CLIMATE. Chris Brierley, Alexey Fedorov and Zhonghui Lui

THE CURIOUS CASE OF THE PLIOCENE CLIMATE. Chris Brierley, Alexey Fedorov and Zhonghui Lui THE CURIOUS CASE OF THE PLIOCENE CLIMATE Chris Brierley, Alexey Fedorov and Zhonghui Lui Outline Introduce the warm early Pliocene Recent Discoveries in the Tropics Reconstructing the early Pliocene SSTs

More information

Goal: Understand the conditions and causes of tropical cyclogenesis and cyclolysis

Goal: Understand the conditions and causes of tropical cyclogenesis and cyclolysis Necessary conditions for tropical cyclone formation Leading theories of tropical cyclogenesis Sources of incipient disturbances Extratropical transition Goal: Understand the conditions and causes of tropical

More information

RADIATION IN THE TROPICAL ATMOSPHERE and the SAHEL SURFACE HEAT BALANCE. Peter J. Lamb. Cooperative Institute for Mesoscale Meteorological Studies

RADIATION IN THE TROPICAL ATMOSPHERE and the SAHEL SURFACE HEAT BALANCE. Peter J. Lamb. Cooperative Institute for Mesoscale Meteorological Studies RADIATION IN THE TROPICAL ATMOSPHERE and the SAHEL SURFACE HEAT BALANCE by Peter J. Lamb Cooperative Institute for Mesoscale Meteorological Studies and School of Meteorology The University of Oklahoma

More information

VOCALS-CUpEx: The Chilean Upwelling Experiment

VOCALS-CUpEx: The Chilean Upwelling Experiment VOCALS-CUpEx: The Chilean Upwelling Experiment René D. Garreaud 1, José Rutllant 1,2, Ricardo Muñoz 1, David Rahn 1, Marcel Ramos 2 and Dante Figueroa 3 (1) Department of Geophysics, Universidad de Chile;

More information

Near Real Time Blended Surface Winds

Near Real Time Blended Surface Winds Near Real Time Blended Surface Winds I. Summary To enhance the spatial and temporal resolutions of surface wind, the remotely sensed retrievals are blended to the operational ECMWF wind analyses over the

More information

Jessica Blunden, Ph.D., Scientist, ERT Inc., Climate Monitoring Branch, NOAA s National Climatic Data Center

Jessica Blunden, Ph.D., Scientist, ERT Inc., Climate Monitoring Branch, NOAA s National Climatic Data Center Kathryn Sullivan, Ph.D, Acting Under Secretary of Commerce for Oceans and Atmosphere and NOAA Administrator Thomas R. Karl, L.H.D., Director,, and Chair of the Subcommittee on Global Change Research Jessica

More information

Sun Earth Relationships

Sun Earth Relationships 1 ESCI-61 Introduction to Photovoltaic Technology Sun Earth Relationships Ridha Hamidi, Ph.D. Spring (sun aims directly at equator) Winter (northern hemisphere tilts away from sun) 23.5 2 Solar radiation

More information

Southern AER Atmospheric Education Resource

Southern AER Atmospheric Education Resource Southern AER Atmospheric Education Resource Vol. 9 No. 5 Spring 2003 Editor: Lauren Bell In this issue: g Climate Creations exploring mother nature s remote control for weather and Climate. g Crazy Climate

More information

An Analysis of the Rossby Wave Theory

An Analysis of the Rossby Wave Theory An Analysis of the Rossby Wave Theory Morgan E. Brown, Elise V. Johnson, Stephen A. Kearney ABSTRACT Large-scale planetary waves are known as Rossby waves. The Rossby wave theory gives us an idealized

More information

Chapter 3: Weather Map. Station Model and Weather Maps Pressure as a Vertical Coordinate Constant Pressure Maps Cross Sections

Chapter 3: Weather Map. Station Model and Weather Maps Pressure as a Vertical Coordinate Constant Pressure Maps Cross Sections Chapter 3: Weather Map Station Model and Weather Maps Pressure as a Vertical Coordinate Constant Pressure Maps Cross Sections Weather Maps Many variables are needed to described dweather conditions. Local

More information

Dynamics IV: Geostrophy SIO 210 Fall, 2014

Dynamics IV: Geostrophy SIO 210 Fall, 2014 Dynamics IV: Geostrophy SIO 210 Fall, 2014 Geostrophic balance Thermal wind Dynamic height READING: DPO: Chapter (S)7.6.1 to (S)7.6.3 Stewart chapter 10.3, 10.5, 10.6 (other sections are useful for those

More information

Radiative effects of clouds, ice sheet and sea ice in the Antarctic

Radiative effects of clouds, ice sheet and sea ice in the Antarctic Snow and fee Covers: Interactions with the Atmosphere and Ecosystems (Proceedings of Yokohama Symposia J2 and J5, July 1993). IAHS Publ. no. 223, 1994. 29 Radiative effects of clouds, ice sheet and sea

More information

SPATIAL DISTRIBUTION OF NORTHERN HEMISPHERE WINTER TEMPERATURES OVER THE SOLAR CYCLE DURING THE LAST 130 YEARS

SPATIAL DISTRIBUTION OF NORTHERN HEMISPHERE WINTER TEMPERATURES OVER THE SOLAR CYCLE DURING THE LAST 130 YEARS SPATIAL DISTRIBUTION OF NORTHERN HEMISPHERE WINTER TEMPERATURES OVER THE SOLAR CYCLE DURING THE LAST 130 YEARS Kalevi Mursula, Ville Maliniemi, Timo Asikainen ReSoLVE Centre of Excellence Department of

More information

Precipitation, cloud cover and Forbush decreases in galactic cosmic rays. Dominic R. Kniveton 1. Journal of Atmosphere and Solar-Terrestrial Physics

Precipitation, cloud cover and Forbush decreases in galactic cosmic rays. Dominic R. Kniveton 1. Journal of Atmosphere and Solar-Terrestrial Physics Precipitation, cloud cover and Forbush decreases in galactic cosmic rays Dominic R. Kniveton 1 Journal of Atmosphere and Solar-Terrestrial Physics 1 School of Chemistry, Physics and Environmental Science,

More information

CHAPTER 6 The atmosphere in motion

CHAPTER 6 The atmosphere in motion CHAPTER 6 The atmosphere in motion This chapter provides a broad view of why the wind blows at the surface and in the atmosphere in order to explain the patterns of mean wind flow around the globe. Descriptively

More information

The Global Monsoon as Seen through the Divergent Atmospheric Circulation

The Global Monsoon as Seen through the Divergent Atmospheric Circulation 3969 The Global Monsoon as Seen through the Divergent Atmospheric Circulation KEVIN E. TRENBERTH, DAVID P. STEPANIAK, AND JULIE M. CARON National Center for Atmospheric Research,* Boulder, Colorado (Manuscript

More information

How Do Oceans Affect Weather and Climate?

How Do Oceans Affect Weather and Climate? How Do Oceans Affect Weather and Climate? In Learning Set 2, you explored how water heats up more slowly than land and also cools off more slowly than land. Weather is caused by events in the atmosphere.

More information

Cloud-SST feedback in southeastern tropical Atlantic anomalous events

Cloud-SST feedback in southeastern tropical Atlantic anomalous events Click Here for Full Article JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 112,, doi:10.1029/2006jc003626, 2007 Cloud-SST feedback in southeastern tropical Atlantic anomalous events Bohua Huang 1,2 and Zeng-Zhen

More information

Tropical Cyclone Climatology

Tropical Cyclone Climatology Tropical Cyclone Climatology Introduction In this section, we open our study of tropical cyclones, one of the most recognizable (and impactful) weather features of the tropics. We begin with an overview

More information

Seasonal & Daily Temperatures. Seasons & Sun's Distance. Solstice & Equinox. Seasons & Solar Intensity

Seasonal & Daily Temperatures. Seasons & Sun's Distance. Solstice & Equinox. Seasons & Solar Intensity Seasonal & Daily Temperatures Seasons & Sun's Distance The role of Earth's tilt, revolution, & rotation in causing spatial, seasonal, & daily temperature variations Please read Chapter 3 in Ahrens Figure

More information

Fundamentals of Climate Change (PCC 587): Water Vapor

Fundamentals of Climate Change (PCC 587): Water Vapor Fundamentals of Climate Change (PCC 587): Water Vapor DARGAN M. W. FRIERSON UNIVERSITY OF WASHINGTON, DEPARTMENT OF ATMOSPHERIC SCIENCES DAY 2: 9/30/13 Water Water is a remarkable molecule Water vapor

More information

Impact of Indian Ocean Sea Surface Temperature on Developing El Niño*

Impact of Indian Ocean Sea Surface Temperature on Developing El Niño* 302 J O U R N A L O F C L I M A T E VOLUME 18 Impact of Indian Ocean Sea Surface Temperature on Developing El Niño* H. ANNAMALAI, S. P. XIE, AND J. P. MCCREARY International Pacific Research Center, University

More information

Relation between Indian monsoon variability and SST

Relation between Indian monsoon variability and SST Relation between Indian monsoon variability and SST V. Krishnamurthy 1,2 and Ben P. Kirtman 1,3 1 Center for Ocean-Land-Atmosphere Studies Institute of Global Environment and Society, Inc. Calverton, Maryland

More information

Correspondence: drajan@hydra.t.u-tokyo.ac.jp, drajan@ncmrwf.gov.in

Correspondence: drajan@hydra.t.u-tokyo.ac.jp, drajan@ncmrwf.gov.in Southwest and Northeast Monsoon Season of India During 2004 as Seen by JRA25 and the General Circulation Model T80 D. Rajan 1,2, T.Koike 1, K.Taniguchi 1 1 CEOP Lab, University of Tokyo, Japan 2 NCMRWF,

More information

El Niño-Southern Oscillation (ENSO): Review of possible impact on agricultural production in 2014/15 following the increased probability of occurrence

El Niño-Southern Oscillation (ENSO): Review of possible impact on agricultural production in 2014/15 following the increased probability of occurrence El Niño-Southern Oscillation (ENSO): Review of possible impact on agricultural production in 2014/15 following the increased probability of occurrence EL NIÑO Definition and historical episodes El Niño

More information

Name Period 4 th Six Weeks Notes 2015 Weather

Name Period 4 th Six Weeks Notes 2015 Weather Name Period 4 th Six Weeks Notes 2015 Weather Radiation Convection Currents Winds Jet Streams Energy from the Sun reaches Earth as electromagnetic waves This energy fuels all life on Earth including the

More information

A Comparison of the Atmospheric Response to ENSO in Coupled and Uncoupled Model Simulations

A Comparison of the Atmospheric Response to ENSO in Coupled and Uncoupled Model Simulations JANUARY 2009 N O T E S A N D C O R R E S P O N D E N C E 479 A Comparison of the Atmospheric Response to ENSO in Coupled and Uncoupled Model Simulations BHASKAR JHA RSIS, Climate Prediction Center, Camp

More information

The Influence of the Mean State on the Annual Cycle and ENSO Variability: A Sensitivity Experiment of a Coupled GCM

The Influence of the Mean State on the Annual Cycle and ENSO Variability: A Sensitivity Experiment of a Coupled GCM The Influence of the Mean State on the Annual Cycle and ENSO Variability: A Sensitivity Experiment of a Coupled GCM Julia V. Manganello 2 and Bohua Huang 1,2 1 Climate Dynamics Program School of Computational

More information

Atmospheric Dynamics of Venus and Earth. Institute of Geophysics and Planetary Physics UCLA 2 Lawrence Livermore National Laboratory

Atmospheric Dynamics of Venus and Earth. Institute of Geophysics and Planetary Physics UCLA 2 Lawrence Livermore National Laboratory Atmospheric Dynamics of Venus and Earth G. Schubert 1 and C. Covey 2 1 Department of Earth and Space Sciences Institute of Geophysics and Planetary Physics UCLA 2 Lawrence Livermore National Laboratory

More information

8.5 Comparing Canadian Climates (Lab)

8.5 Comparing Canadian Climates (Lab) These 3 climate graphs and tables of data show average temperatures and precipitation for each month in Victoria, Winnipeg and Whitehorse: Figure 1.1 Month J F M A M J J A S O N D Year Precipitation 139

More information

THE INFLUENCE OF LA NINA ON AFRICAN RAINFALL

THE INFLUENCE OF LA NINA ON AFRICAN RAINFALL INTERNATIONAL JOURNAL OF CLIMATOLOGY Int. J. Climatol. 20: 1761 1776 (2000) THE INFLUENCE OF LA NINA ON AFRICAN RAINFALL S.E. NICHOLSON* and J.C. SELATO Florida State Uni ersity, Department of Meteorology,

More information

Impact of southeast Indian Ocean sea surface temperature anomalies on monsoon-enso-dipole variability in a coupled ocean atmosphere model

Impact of southeast Indian Ocean sea surface temperature anomalies on monsoon-enso-dipole variability in a coupled ocean atmosphere model Clim Dyn (27) 28:553 58 DOI 1.17/s382-6-192-y Impact of southeast Indian Ocean sea surface temperature anomalies on monsoon-enso-dipole variability in a coupled ocean atmosphere model Pascal Terray Æ Fabrice

More information

Decadal/Interdecadal variations in ENSO predictability in a hybrid coupled model from 1881-2000

Decadal/Interdecadal variations in ENSO predictability in a hybrid coupled model from 1881-2000 Decadal/Interdecadal variations in ENSO predictability in a hybrid coupled model from 1881-2000 Ziwang Deng and Youmin Tang Environmental Science and Engineering, University of Northern British Columbia,

More information

Wind resources map of Spain at mesoscale. Methodology and validation

Wind resources map of Spain at mesoscale. Methodology and validation Wind resources map of Spain at mesoscale. Methodology and validation Martín Gastón Edurne Pascal Laura Frías Ignacio Martí Uxue Irigoyen Elena Cantero Sergio Lozano Yolanda Loureiro e-mail:mgaston@cener.com

More information

GEF 1100 Klimasystemet. Chapter 8: The general circulation of the atmosphere

GEF 1100 Klimasystemet. Chapter 8: The general circulation of the atmosphere GEF1100 Autumn 2015 29.09.2015 GEF 1100 Klimasystemet Chapter 8: The general circulation of the atmosphere Prof. Dr. Kirstin Krüger (MetOs, UiO) 1 Lecture Outline Ch. 8 Ch. 8 The general circulation of

More information

The drought of 2010 in the context of historical droughts in the Amazon region

The drought of 2010 in the context of historical droughts in the Amazon region GEOPHYSICAL RESEARCH LETTERS, VOL. 38,, doi:10.1029/2011gl047436, 2011 The drought of 2010 in the context of historical droughts in the Amazon region Jose A. Marengo, 1 Javier Tomasella, 1 Lincoln M. Alves,

More information

The IPCC Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation

The IPCC Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation The IPCC Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation A changing climate leads to changes in extreme weather and climate events 2 How do changes

More information

CELESTIAL MOTIONS. In Charlottesville we see Polaris 38 0 above the Northern horizon. Earth. Starry Vault

CELESTIAL MOTIONS. In Charlottesville we see Polaris 38 0 above the Northern horizon. Earth. Starry Vault CELESTIAL MOTIONS Stars appear to move counterclockwise on the surface of a huge sphere the Starry Vault, in their daily motions about Earth Polaris remains stationary. In Charlottesville we see Polaris

More information

SST-Forced Atmospheric Variability in an Atmospheric General Circulation Model

SST-Forced Atmospheric Variability in an Atmospheric General Circulation Model VOLUME 18 JOURNAL OF CLIMATE 1 OCTOBER 2005 SST-Forced Atmospheric Variability in an Atmospheric General Circulation Model ARUN KUMAR, QIN ZHANG, PEITAO PENG, AND BHASKAR JHA Climate Prediction Center,

More information

Monsoon Variability and Extreme Weather Events

Monsoon Variability and Extreme Weather Events Monsoon Variability and Extreme Weather Events M Rajeevan National Climate Centre India Meteorological Department Pune 411 005 rajeevan@imdpune.gov.in Outline of the presentation Monsoon rainfall Variability

More information

CLIMATE, WATER & LIVING PATTERNS THINGS

CLIMATE, WATER & LIVING PATTERNS THINGS CLIMATE, WATER & LIVING PATTERNS NAME THE SIX MAJOR CLIMATE REGIONS DESCRIBE EACH CLIMATE REGION TELL THE FIVE FACTORS THAT AFFECT CLIMATE EXPLAIN HOW THOSE FACTORS AFFECT CLIMATE DESCRIBE HOW CLIMATES

More information

Evolution of Model Systematic Errors in the Tropical Atlantic Basin from the NCEP Coupled Hindcasts

Evolution of Model Systematic Errors in the Tropical Atlantic Basin from the NCEP Coupled Hindcasts Evolution of Model Systematic Errors in the Tropical Atlantic Basin from the NCEP Coupled Hindcasts Bohua Huang 1,2 and Zeng-Zhen Hu 2 1 Climate Dynamics Program School of Computational Sciences George

More information

The ozone hole indirect effect: Cloud-radiative anomalies accompanying the poleward shift of the eddy-driven jet in the Southern Hemisphere

The ozone hole indirect effect: Cloud-radiative anomalies accompanying the poleward shift of the eddy-driven jet in the Southern Hemisphere GEOPHYSICAL RESEARCH LETTERS, VOL., 1 5, doi:1.1/grl.575, 1 The ozone hole indirect effect: Cloud-radiative anomalies accompanying the poleward shift of the eddy-driven jet in the Southern Hemisphere Kevin

More information

Climate Extremes Research: Recent Findings and New Direc8ons

Climate Extremes Research: Recent Findings and New Direc8ons Climate Extremes Research: Recent Findings and New Direc8ons Kenneth Kunkel NOAA Cooperative Institute for Climate and Satellites North Carolina State University and National Climatic Data Center h#p://assessment.globalchange.gov

More information

Tropical Cloud Population

Tropical Cloud Population Tropical Cloud Population Before Satellites Visual Observation View from and aircraft flying over the South China Sea Radiosonde Data Hot tower hypothesis Riehl & Malkus 1958 Satellite Observations Post

More information

1) Summary of work performed and progress made during preceding month

1) Summary of work performed and progress made during preceding month Mapping and Characterization of Recurring Spring Leads and Landfast Ice in the Chukchi and Beaufort Seas, Coastal Marine Institute Project (NOFA MMS09HQPA0004T) Monthly progress report, June 2010 1) Summary

More information

ES 106 Laboratory # 3 INTRODUCTION TO OCEANOGRAPHY. Introduction The global ocean covers nearly 75% of Earth s surface and plays a vital role in

ES 106 Laboratory # 3 INTRODUCTION TO OCEANOGRAPHY. Introduction The global ocean covers nearly 75% of Earth s surface and plays a vital role in ES 106 Laboratory # 3 INTRODUCTION TO OCEANOGRAPHY 3-1 Introduction The global ocean covers nearly 75% of Earth s surface and plays a vital role in the physical environment of Earth. For these reasons,

More information

50.07 Uranus at Equinox: Cloud morphology and dynamics

50.07 Uranus at Equinox: Cloud morphology and dynamics 50.07 Uranus at Equinox: Cloud morphology and dynamics 14 October 2008 DPS Meeting, Ithaca, NY Lawrence A. Sromovsky 1, P. M. Fry 1, W. M. Ahue 1, H. B. Hammel 2, I. de Pater 3, K. A. Rages 4, M. R. Showalter

More information

Celestial Observations

Celestial Observations Celestial Observations Earth experiences two basic motions: Rotation West-to-East spinning of Earth on its axis (v rot = 1770 km/hr) (v rot Revolution orbit of Earth around the Sun (v orb = 108,000 km/hr)

More information

A review of the fall/winter 2000/01 and comparison with

A review of the fall/winter 2000/01 and comparison with A review of the fall/winter 2000/01 and comparison with 1978/79. J. Cohen, AER Inc., jcohen@aer.com A review of fall/winter 2000/01 shows it consistent with the hypothesis that the winter Arctic Oscillation

More information

Temporal and spatial evolution of the Antarctic sea ice prior to the September 2012 record maximum extent

Temporal and spatial evolution of the Antarctic sea ice prior to the September 2012 record maximum extent GEOPHYSICAL RESEARCH LETTERS, VOL. 40, 5894 5898, doi:10.1002/2013gl058371, 2013 Temporal and spatial evolution of the Antarctic sea ice prior to the September 2012 record maximum extent John Turner, 1

More information

CGC1D1: Interactions in the Physical Environment Factors that Affect Climate

CGC1D1: Interactions in the Physical Environment Factors that Affect Climate Name: Date: Day/Period: CGC1D1: Interactions in the Physical Environment Factors that Affect Climate Chapter 12 in the Making Connections textbook deals with Climate Connections. Use pages 127-144 to fill

More information

Multi-decadal modulations in the Aleutian-Icelandic Low seesaw and the axial symmetry of the Arctic Oscillation

Multi-decadal modulations in the Aleutian-Icelandic Low seesaw and the axial symmetry of the Arctic Oscillation 1 2 3 4 5 6 Multi-decadal modulations in the Aleutian-Icelandic Low seesaw and the axial symmetry of the Arctic Oscillation signature, as revealed in the 20th century reanalysis 7 8 9 10 Ning Shi 1* and

More information

Stage 4. Geography. Blackline Masters. By Karen Devine

Stage 4. Geography. Blackline Masters. By Karen Devine 1 Devine Educational Consultancy Services Stage 4 Geography Blackline Masters By Karen Devine Updated January 2010 2 This book is intended for the exclusive use in NSW Secondary Schools. It is meant to

More information

Observed Cloud Cover Trends and Global Climate Change. Joel Norris Scripps Institution of Oceanography

Observed Cloud Cover Trends and Global Climate Change. Joel Norris Scripps Institution of Oceanography Observed Cloud Cover Trends and Global Climate Change Joel Norris Scripps Institution of Oceanography Increasing Global Temperature from www.giss.nasa.gov Increasing Greenhouse Gases from ess.geology.ufl.edu

More information

Week 1. Week 2. Week 3

Week 1. Week 2. Week 3 Week 1 1. What US city has the largest population? 2. Where is Aachen? 3. What is the capitol of Florida? 4. What is the longest mountain range in Spain? 5. What countries border Equador? Week 2 1. What

More information

Daily High-resolution Blended Analyses for Sea Surface Temperature

Daily High-resolution Blended Analyses for Sea Surface Temperature Daily High-resolution Blended Analyses for Sea Surface Temperature by Richard W. Reynolds 1, Thomas M. Smith 2, Chunying Liu 1, Dudley B. Chelton 3, Kenneth S. Casey 4, and Michael G. Schlax 3 1 NOAA National

More information

Guy Carpenter Asia-Pacific Climate Impact Centre, School of energy and Environment, City University of Hong Kong

Guy Carpenter Asia-Pacific Climate Impact Centre, School of energy and Environment, City University of Hong Kong Diurnal and Semi-diurnal Variations of Rainfall in Southeast China Judy Huang and Johnny Chan Guy Carpenter Asia-Pacific Climate Impact Centre School of Energy and Environment City University of Hong Kong

More information

Climate Change on the Prairie:

Climate Change on the Prairie: Climate Change on the Prairie: A Basic Guide to Climate Change in the High Plains Region - UPDATE Global Climate Change Why does the climate change? The Earth s climate has changed throughout history and

More information

Chapter 4 Atmospheric Pressure and Wind

Chapter 4 Atmospheric Pressure and Wind Chapter 4 Atmospheric Pressure and Wind Understanding Weather and Climate Aguado and Burt Pressure Pressure amount of force exerted per unit of surface area. Pressure always decreases vertically with height

More information

Chapter 3 Communities, Biomes, and Ecosystems

Chapter 3 Communities, Biomes, and Ecosystems Communities, Biomes, and Ecosystems Section 1: Community Ecology Section 2: Terrestrial Biomes Section 3: Aquatic Ecosystems Click on a lesson name to select. 3.1 Community Ecology Communities A biological

More information

THE CORRELATION OF SEA SURFACE TEMPERATURES, SEA LEVEL PRESSURE AND VERTICAL WIND SHEAR WITH TEN TROPICAL CYCLONES BETWEEN 1981-2010

THE CORRELATION OF SEA SURFACE TEMPERATURES, SEA LEVEL PRESSURE AND VERTICAL WIND SHEAR WITH TEN TROPICAL CYCLONES BETWEEN 1981-2010 THE CORRELATION OF SEA SURFACE TEMPERATURES, SEA LEVEL PRESSURE AND VERTICAL WIND SHEAR WITH TEN TROPICAL CYCLONES BETWEEN 1981-2010 Andrea Jean Compton Submitted to the faculty of the University Graduate

More information

Large Eddy Simulation (LES) & Cloud Resolving Model (CRM) Françoise Guichard and Fleur Couvreux

Large Eddy Simulation (LES) & Cloud Resolving Model (CRM) Françoise Guichard and Fleur Couvreux Large Eddy Simulation (LES) & Cloud Resolving Model (CRM) Françoise Guichard and Fleur Couvreux Cloud-resolving modelling : perspectives Improvement of models, new ways of using them, renewed views And

More information

Improving Hydrological Predictions

Improving Hydrological Predictions Improving Hydrological Predictions Catherine Senior MOSAC, November 10th, 2011 How well do we simulate the water cycle? GPCP 10 years of Day 1 forecast Equatorial Variability on Synoptic scales (2-6 days)

More information

IMPACTS OF IN SITU AND ADDITIONAL SATELLITE DATA ON THE ACCURACY OF A SEA-SURFACE TEMPERATURE ANALYSIS FOR CLIMATE

IMPACTS OF IN SITU AND ADDITIONAL SATELLITE DATA ON THE ACCURACY OF A SEA-SURFACE TEMPERATURE ANALYSIS FOR CLIMATE INTERNATIONAL JOURNAL OF CLIMATOLOGY Int. J. Climatol. 25: 857 864 (25) Published online in Wiley InterScience (www.interscience.wiley.com). DOI:.2/joc.68 IMPACTS OF IN SITU AND ADDITIONAL SATELLITE DATA

More information

RaysWeather.Com 2015-2016 Winter Fearless Forecast

RaysWeather.Com 2015-2016 Winter Fearless Forecast Author: Dr. Ray Russell Founder and President of RaysWeather.Com Date: October 10, 2015 RaysWeather.Com 2015-2016 Winter Fearless Forecast Background It's that time of year--leaves change, temperatures

More information

Real-time monitoring and forecast of intraseasonal variability during the 2011 African Monsoon

Real-time monitoring and forecast of intraseasonal variability during the 2011 African Monsoon Real-time monitoring and forecast of intraseasonal variability during the 211 African Monsoon R. Roehrig 1, F. Couvreux 1, E. Poan 1, P. Peyrillé 1, J.-P. Lafore 1, O. Ndiaye 2, A. Diongue-Niang 2, F.

More information

HIGH RESOLUTION SATELLITE IMAGERY OF THE NEW ZEALAND AREA: A VIEW OF LEE WAVES*

HIGH RESOLUTION SATELLITE IMAGERY OF THE NEW ZEALAND AREA: A VIEW OF LEE WAVES* Weather and Climate (1982) 2: 23-29 23 HIGH RESOLUTION SATELLITE IMAGERY OF THE NEW ZEALAND AREA: A VIEW OF LEE WAVES* C. G. Revell New Zealand Meteorological Service, Wellington ABSTRACT Examples of cloud

More information