MARCH 1999 LENTERS AND COOK 409 Summertime Precipitation Variability over South America: Role of the Large-Scale Circulation J. D. LENTERS* AND K. H. COOK Atmospheric Science Program, Cornell University, Ithaca, New York (Manuscript received 11 August 1997, in final form 27 January 1998) ABSTRACT The observed large-scale circulation mechanisms associated with summertime precipitation variability over South America are investigated. Particular attention is paid to the Altiplano where a close relationship has been observed between rainfall and the position and intensity of the Bolivian high. Empirical orthogonal function (EOF), correlation, and composite analyses suggest that on intraseasonal timescales (typically 5–20 days), rainy periods on the Altiplano are associated with at least three types of circulation anomalies, involving either extratropical cyclones, cold-core lows, or the westward enhancement of the South Atlantic high. In each instance, the primary support for high rainfall rates is a moist, poleward flow at low levels along the eastern flank of the central Andes in association with the South Atlantic convergence zone (SACZ). The warm, low-level flow along the SACZ also inflates the overlying atmospheric column, resulting in an intensification and southward shift of the Bolivian high. Thus, the position of the SACZ (and associated frontal activity) plays a crucial role in the variability of both the Bolivian high and Altiplano rainfall. On longer timescales, the Bolivian high also shifts southward and intensifies during wet periods on the Altiplano. The seasonal transition from December to the wetter month of January is accompanied by a westward enhancement of the SACZ and northwesterly flow along the central Andes. The transition to the drier month of February is accompanied by weakening northwesterly flow and cooler, drier conditions along the Altiplano. Interannual precipitation variability on the Altiplano is strongly correlated with the amplitude of the fifth EOF of the 200-mb height field, the ‘‘dry phase’’, which is much like the anomalous conditions during February. A case study of the dry conditions during the 1987 El Niño associates reduced convection on the Altiplano with the presence of a strong cold front over eastern South America and cold, dry air to the west. The characteristic eastward shift of the South Pacific convergence zone during El Niño may be responsible for this enhanced frontal activity in the SACZ (through teleconnections) and, therefore, the cool, dry, convectively unfavorable conditions in the central Andes. 1. Introduction Summertime precipitation in the central Andes exhibits pronounced spatial and temporal variability. High precipitation rates, in excess of 20 mm day21 in some areas (Fig. 1), are orographically induced along the eastern flank of the mountain belt (Lenters and Cook 1995). Proceeding westward up the eastern cordillera of the central Andes onto the plateau known as the Altiplano (3.8-km elevation, spanning roughly 148–228S), climatological precipitation rates fall well below 6 mm day21 . In the northern Altiplano, however, summer rainfall amounts are sufficient to sustain a productive, but * Current affiliation: Center for Limnology, University of Wisconsin—Madison, Madison, Wisconsin. Corresponding author address: Dr. Kerry H. Cook, Atmospheric Science Program, 1110 Bradfield Hall, Cornell University, Ithaca, NY 14853. q 1999 American Meteorological Society climatically sensitive, agricultural community as well as Lake Titicaca, the largest lake of its elevation in the world. Precipitation on the Altiplano during austral summer is convective and typically occurs during afternoon thunderstorms (Aceituno and Montecinos 1993). Radiative heating of the land surface during the early daytime hours warms the overlying air, inducing low-level inflow (including moisture-laden air from the Amazon Basin to the east), convergence, precipitation, and the release of latent heat, which adds to the intensity of the convection (Gutman and Schwerdtfeger 1965; Rao and Erdogan 1989). This localized convection can be highly variable. For example, during the 1988/89 austral summer La Paz, Bolivia, received an average of 3.1 mm of precipitation per day, but the rainfall was very sporadic, with 36 out of the 90 days being rain free and 16 days receiving more than 5 mm of rain (36 mm on one particular day). According to Aceituno and Montecinos (1993) this episodic nature is typical of the Altiplano, with wet 410 MONTHLY WEATHER REVIEW VOLUME 127 FIG. 1. Climatological precipitation rate over central South America for DJF [solid contours; from Legates and Willmott (1990)]. Contour interval is 2 mm day21 . Shading indicates topography at 1-km intervals, starting at 0.5 km. Symbols show locations of Altiplano rainfall stations. periods lasting a few days being ‘‘preceded and followed by dry episodes.’’ The variability is not restricted to daily timescales, as rainfall rates vary significantly on 5–20-day, seasonal, and interannual timescales (Kessler 1981; Horel et al. 1989; Lenters 1997a). In general, the Altiplano is dry (wet) during negative (positive) phases of the Southern Oscillation (Kessler 1981; Aceituno 1988; Martin et al. 1993). This is reflected in the present study by the anomalously dry months of February and December during the 1987 El Niño. One possible explanation for this precipitation variability is the influence of the large-scale circulation. Aceituno and Montecinos (1993) investigated this possibility by forming upper-air composites of geopotential height for wet and dry days during austral summer for the period 1980–87 (excluding the 1982/83 El Niño summer). That study suggests that summertime precipitation variability on the Altiplano is related to the position and intensity of the Bolivian high, a prominent anticyclone that develops over the central Andes during austral summer (Lenters and Cook 1997). During wet days the Bolivian high is stronger and shifted farther south of its climatological position (see Fig. 2a) than during dry days, and the 200-mb zonal wind speed over the Altiplano is 5–10 m s21 stronger. Kessler (1981) found a similar relationship for wet and dry summer months, suggesting that the connection between precipitation and the Bolivian high applies to interannual timescales as well. The observed relationship between the precipitation field and the Bolivian high may indicate that latent heating associated with high precipitation in the central Andes causes the Bolivian high to strengthen, as has been found for the Amazon Basin and surrounding regions FIG. 2. (a) Average 200-mb geopotential height over South America for DJF 1985–93 (from the NASA/DAO reanalyses). Contour interval is 20 m (50 m) above (below) 12 350 m. ‘‘H’’ denotes the location of the Bolivian high, and the dashed line indicates the approximate position of the SACZ (see Fig. 3). (b) As in (a) but for the 850-mb wind velocity. Vector beneath figure denotes a wind velocity of 10 m s21 . (DeMaria 1985; Gandu and Geisler 1991; Lenters and Cook 1997). Alternatively, wet episodes may be the result of a strengthened and southward shifted Bolivian high. The purpose of this study is to identify the mechanisms responsible for the observed relationship between the Bolivian high and the variability of summertime precipitation on the Altiplano. The focus is broadened to the continental scale when we find connections with MARCH 1999 LENTERS AND COOK rainfall and circulation features over the Amazon and southeastern South America. Several features of the circulation are shown to be relevant in this context. One is the South Atlantic convergence zone (SACZ), a region of high precipitation that stretches diagonally off the southeast coast of South America (Figs. 2–3). At low levels, the SACZ is characterized by the convergence of warm, moist air blowing off the coast along the southeastern flank of the South Atlantic high (Fig. 2b; Kodama 1992; Lenters and Cook 1995). To the west is the strong northwesterly flow along the Andes between 108 and 208S (Fig. 2b). To the north, the westward extension of the South Atlantic high, combined with the presence of tropical easterlies, brings flow onto the continent north of about 158S (Lenters and Cook 1995). Section 2 describes the observational data used in this study, and section 3 identifies the 200-mb height anomalies associated with high precipitation on the Altiplano using empirical orthogonal function (EOF) analysis. Physical mechanisms are investigated in section 4, which explores connections with the low-level flow. Variability on several timescales is investigated in section 5, including a composite analysis of intraseasonal rainy episodes. Results are discussed and summarized in section 6. 2. Data selection and analysis Daily analyses of geopotential height, wind velocity, temperature, specific humidity, and precipitation rate were obtained from the Data Assimilation Office (DAO) at the National Aeronautic and Space Administration (NASA) Goddard Space Flight Center for eight austral summer seasons [December–February (DJF) 1985/86– 1992/93]. The NASA/DAO analysis (Schubert et al. 1993) is a fixed 4D assimilation system that reduces the introduction of artificial atmospheric variability by eliminating changes in the assimilation model’s parameterizations and numerics (among other things). The data are available on a 2.58 long 3 28 lat grid at 18 pressure levels. The 200-mb and 850-mb levels are examined, and the geographic domain is restricted to South America (168N–588S, 858–308W). Given the inherent uncertainties in assimilated precipitation fields, two additional independent measures of precipitation rate are also used. The first is the Global Precipitation Index (GPI), a satellite-derived (IR) estimate of large-scale tropical and subtropical rainfall that is provided as an intermediate product of the Global Precipitation Climatology Project (Janowiak and Arkin 1991). This data is available in pentads (5-day means) for 1986–94 on a 2.58 square grid covering the Tropics and subtropics (408N–408S). Thus, except for December 1985, the GPI data overlaps the time period of the NASA/DAO analysis. The second set of independent precipitation data is the daily, ground-based records from meteorological stations at Juliaca, Peru, and La Paz, Bolivia (located 411 in Fig. 1). These are available from the Global Daily Summary (GDS) dataset of the National Climatic Data Center (NCDC). These stations were chosen because of their proximity to the wetter, northern Altiplano; drier stations to the south capture only a fraction of the summer rain events on the Altiplano. Four other GDS stations are also located on or near the northern Altiplano, but they have short records (less than 20 days of data) and/or low correlation with the six-station average precipitation rate. The GDS records for Juliaca and La Paz end in 1991, so six complete rainy seasons overlap the NASA/DAO analysis. A 5-day running mean is applied to the NASA/DAO analysis and the Altiplano station data to smooth highfrequency variability (Horel et al. 1989; Kiladis and Weickmann 1992) and short-lived events, allowing a focus on timescales of 3–5 days or longer. Such longerterm variability is more likely to be directly related to the large-scale circulation since short-lived events recorded at individual stations are often associated with localized convection. The smoothing is also valuable for filling in gaps from missing data, minimizing the effects of potential errors in the precipitation records, and establishing a timescale that is consistent with the GPI pentads. Anomalous 5-day running means (for all three datasets) are created by subtracting the seasonal mean of each of the eight (or six) summers. In this way the results for each summer are normalized to each other. Much of the interannual variability is still retained in the anomalies, since individual summer months are often more different from each other than are entire summer seasons. An example of this is the 1987 El Niño, which we examine more closely in section 5. Empirical orthogonal function analysis is used to identify the dominant circulation patterns. This method was chosen over composite techniques based on the results of Lenters (1997a), in which 200-mb geopotential height composites from the NASA/DAO data were formed for wet and dry episodes on the Altiplano. Their analysis confirmed the results of Aceituno and Montecinos (1993), namely, that the Bolivian high is stronger and shifted southward during wet episodes. However, there was considerable variability between individual years, suggesting that Altiplano wet episodes are associated with more than one type of circulation pattern. Here we use an EOF analysis to select recurring circulation patterns first, and then correlate these patterns with the precipitation field. [For a comprehensive description of EOFs, including applications to the atmospheric sciences, the reader is referred to Preisendorfer (1988). Useful introductions to EOF analysis are also provided by Kutzbach (1967) and Wilks (1995).] The EOF analysis is performed on the standardized 5-day running mean 200-mb geopotential height anomalies over South America for the eight summer seasons DJF 1985/86–1992/93. The standardization indicates division by the (climatological) standard deviation at each 412 MONTHLY WEATHER REVIEW grid point. Since the geopotential height field is typically much more variable in the extratropics than the Tropics, this standardization ensures that extratropical height anomalies do not have a heavily weighted influence on the EOF analysis. The analysis is restricted to 40 degrees of latitude (08–408S) and 55 degrees of longitude (858– 308W), resulting in a correlation matrix of size 483 3 483. The EOFs, or eigenvectors, are scaled such that the magnitude of the mth EOF is equal to the square root of the mth eigenvalue of the correlation matrix. Together with the fact that the 200-mb height anomalies are standardized, this allows the EOF loadings to be interpreted as coefficients of correlation between the time-dependent amplitude (or strength) of the EOFs and the original height field. Furthermore, the scaling results in each of the EOF amplitudes having unit variance. 3. Circulation anomalies associated with South American rainfall a. Correlations with Altiplano precipitation The 483 eigenvectors and eigenvalues of the correlation matrix were calculated and sorted using standard techniques. The first 10 EOFs together explain over 93% of the variance. The log-eigenvalue diagram [not shown; Wilks (1995)] indicates that approximately the first 30 EOFs are ‘‘signal’’ and the remaining 453 are ‘‘noise.’’ However, none of the EOFs after the fifth are significantly correlated with Altiplano precipitation and these first five resemble recognizable circulation patterns. For these reasons, we focus on EOFs 1–5, which account for over 77% of the variance in the 200-mb height field. Figure 4 shows the first five EOFs; their correlations with the 5-day running mean precipitation average of the La Paz and Juliaca station data are shown in Table 1. Use of the Spearman rank correlation coefficient instead of the ‘‘standard’’ Pearson product-moment coefficient yields similar results. Statistical tests of significance were based on a two-tailed t test of the correlation coefficient after it has been subjected to a Fisher transformation (Wilks 1995, 154). To account for the reduced degrees of freedom resulting from serial correlation in the time series, the method of Quenouille (1952, 168) was adopted. The first EOF (Fig. 4a) is a relatively zonal pattern characterized by anomalously high pressure south of 258S, low pressure to the north, and a weak trough along 558W. When the amplitude of this anomaly is positive the Bolivian high is shifted south of its climatological position (Fig. 2a), inducing anomalous easterly flow between 108 and 208S. The amplitude of EOF1 is significantly correlated with Altiplano precipitation (Table 1). This agrees with the results of Kessler (1981) and Aceituno and Montecinos (1993), who also found that a southward shift of the Bolivian high is associated with anomalous precipitation on the Altiplano. VOLUME 127 The second EOF (Fig. 4b) has high pressure to the southwest of the Altiplano and a trough to the east. Although this pattern is not strongly correlated with the Altiplano precipitation time series on a 0-day lag (Table 1), we find a significant correlation (r ø 0.23, significant at 95%) when lagging the precipitation by 5–10 days. That is, EOF2 tends to be strong (weak) 5–10 days after high (low) precipitation on the Altiplano. This indicates that EOF2 may represent an atmospheric response to rainfall in the central Andes region. This suggestion is reinforced by previous modeling remits. Using a linear, primitive equation model, Lenters and Cook (1997) simulate a strong Bolivian high to the southwest of the Altiplano and a trough to the east in response to condensational heating. Previous linear modeling studies (Silva Dias et al. 1983; DeMaria 1985) show similar response patterns to Amazonian condensational heating, and indicate that the time-dependent response to tropical heating over South America includes a westward-propagating Bolivian high. EOF2 shows similar time-dependent behavior, in the sense that lagged correlations of its amplitude with the 200-mb height field indicate a westward propagating high pressure cell (Lenters 1997a). The third (Fig. 4c), fourth (Fig. 4d), and fifth (Fig. 4e) EOFs are associated with anomalous strengthening and/or shifting of the Bolivian high to the southeast, east, and south of the Altiplano, respectively. Enhancement of the climatological trough (Fig. 2a) east of the Bolivian high is also evident in Figs. 4c and 4e. Of these three EOFs, EOF5 most closely resembles the ‘‘wet phase’’ identified by Kessler (1981) and Aceituno and Montecinos (1993) and is the only one significantly correlated with Altiplano precipitation rates (Table 1). EOFs 3 and 4 are suggestive of patterns associated with the northeastward intrusion of frontal systems that typically occur along the SACZ (Kousky and Gan 1981; Kodama 1993; Kousky and Kayano 1994; Paegle and Mo 1997). EOF4 shows no significant correlation with Altiplano rainfall (Table 1), and the amount of variance it explains (10.8%) and, hence, its eigenvalues are very close to the third (11.1%) and fifth (10.4%) EOFs. According to the test proposed by North et al. (1982), EOF4 is statistically indistinguishable from EOF3 and EOF5; the sample size used in generating the EOFs is not large enough to allow one to treat EOF4 as a distinct mode of variability. In fact, EOF4 may simply be an evolution of the same general pattern associated with EOF3 (given the similar, but shifted features of Figs. 4c and 4d). For these reasons, the fourth EOF will not be a focus of the remaining analysis. The eigenvalues of the third and fifth EOFs are also close enough to raise some doubts about their distinguishability. In addition, the relationship between EOF3 and Altiplano precipitation (Table 1) is statistically insignificant. However, as discussed below, we find that high precipitation on the Altiplano is often associated MARCH 1999 LENTERS AND COOK 413 with both strong positive and negative phases of EOF3, suggesting an important underlying relationship that is not captured by the simple correlations presented in Table 1. A pattern resembling EOF3 has also been previously shown to be related to regional precipitation anomalies in the vicinity of the central Andes (Kiladis and Weickmann 1992; Kousky and Kayano 1994; Paegle and Mo 1997). Thus, the third EOF is retained in the analysis. b. Correlations with regional South American precipitation Besides being correlated or otherwise associated with precipitation on the Altiplano, EOFs 1, 3, and 5 are strongly linked to precipitation anomalies throughout South America. Figures 5a,b show maps of the coefficient of correlation between EOF1’s amplitude and the NASA/DAO (5-day running mean) and GPI precipitation fields, respectively, with unshaded regions indicating statistically significant correlation at the 95% level. (For the GPI correlation, the EOF amplitude is sampled every five days to match the corresponding GPI pentad.) In both precipitation datasets EOF1 is associated with at least three regional precipitation anomalies (Figs. 5a,b). The central Andes shows a positive correlation, as does a larger region to the southeast, around 258S, 508W. A band of negative correlation is present in eastern Brazil, with highest values attained around 158S, 458W. This band is somewhat diagonally oriented and positioned east-northeast of the regions of above-normal precipitation. This suggests a possible connection with the SACZ (Fig. 3), namely that high (low) precipitation in the central Andes is associated with a southwestward (northeastward) positioning of the SACZ, with portions of the eastern Amazon Basin showing a similar, but outof-phase relationship. Regional precipitation anomalies associated with EOF3 are shown in Figs. 5c,d. Neither precipitation dataset exhibits significant correlations in the central Andes, in agreement with the station data (Table 1). However, both datasets show strong correlations over southeastern South America in the vicinity of the SACZ. These anomalies (Figs. 4c, 5c,d) are similar to those found by Kiladis and Weickmann (1992) in their observational study of austral summer circulation anomalies associated with tropical convection. Figure 12b (12c) in Kiladis and Weickmann (1992) shows an upperlevel anomaly, much like the negative (positive) phase of EOF3, which is significantly correlated with strong convection in northeastern (western) Brazil on 14–30day timescales. In both regions the correlation is strongest one day after the peak in convection, suggesting that the convection forces the circulation anomaly. Similar wet/dry anomalies in the vicinity of the SACZ have also been noted previously by Kousky and Casarin (1986), Kousky and Kayano (1994), and Paegle and Mo (1997). FIG. 3. (a) Average DJF precipitation rate over South America from the NASA/DAO reanalyses (1985–93). Contour interval is 1 mm day21 , and the dashed line indicates the approximate position of the SACZ (as determined by the band of maximum precipitation). (b) As in (a), but for the Global Precipitation Index data. DJF average approximated from pentads by averaging 2 December–24 February for 1985–93 (excluding Dec of 1985). Of the three EOFs, EOF5 shows the highest correlation with precipitation in the central Andes, especially for the GPI (Fig. 5f) and station data (Table 1). The correlation with NASA/DAO precipitation in this region is weak but positive (Fig. 5e). Both precipitation datasets show generally negative correlations everywhere north of 108– 158S, with significant values in the eastern equatorial Pacific (just off the coasts of Ecuador and Peru) and over central Brazil. In the GPI dataset the negative correlation in central Brazil extends along a south-southeastward- 414 MONTHLY WEATHER REVIEW VOLUME 127 FIG. 4. (a) First EOF of the 5-day running mean 200-mb geopotential height field for the eight summer seasons DJF 1985–93. Units are equivalent to the coefficient of correlation between the height field and the amplitude of EOF1, and negative contours are dashed. Percent of the total variance explained is noted in parentheses. (b)–(e) As in (a) but for EOFs 2–5, respectively. oriented band down to 308–358S, where the NASA/DAO data also shows a negative anomaly. According to Aceituno (1988) and Rao and Hada (1990), the spatial pattern of precipitation associated with EOF5 fits characteristics of the positive phase of the Southern Oscillation index (SOI). During La Niña (high SOI), positive precipitation anomalies occur over the Altiplano with negative anomalies along the coasts of Ecuador and Peru. The opposite is typical during El Niño (low SOI) events. This suggests a close relationship between ENSO and the 200-mb height anomalies associated with EOF5, which we explore in greater detail in section 5. 4. Physical mechanisms In this section we further investigate the observed correlations to identify causal relationships between the large-scale circulation and the precipitation field, and MARCH 1999 LENTERS AND COOK TABLE 1. Coefficient of correlation between Altiplano precipitation and EOF amplitudes. Asterisk indicates correlation is significant at the 95% level. EOF r value 1 2 3 4 5 0.283* 0.104 20.048 0.082 0.321* the mechanisms that lead to the causality. Since periods of high precipitation during the summer often indicate low-level atmospheric conditions that favor convective development (e.g., Kodama 1992; Kodama 1993), we examine the low-level circulation fields. Figure 6 shows correlations between the amplitude of the first EOF and the 5-day running mean 850-mb wind velocity (Fig. 6a), specific humidity (Fig. 6b), temperature (Fig. 6c), and moist static stability (Fig. 6d). All of the fields are from the NASA/DAO dataset, and unshaded areas again represent regions with statistically significant correlations. The moist static stability in the lower troposphere is calculated using S52 (u *| ]u *e e p1 2 u *| e p2 ) ø2 , ]p p1 2 p2 (1) where u*e | p is the saturation equivalent potential temperature at pressure level p, p1 5 850 mb, and p 2 5 700 mb. Here S , 0 indicates conditional instability. Calculation of S using p 2 5 500 mb yields qualitatively similar, but weaker, results. The southward shift of the Bolivian high represented by EOF1 (with signs as in Fig. 4a) is accompanied by anomalous anticyclonic flow at low levels over southeastern South America (Fig. 6a), with generally dry (Fig. 6b), cool (Fig. 6c) conditions to the north. The temperature pattern resembles the somewhat zonal 200mb height pattern associated with EOF1 (Fig. 4a), as expected from hydrostatic balance. The anomalous flow onto the east coast (108–208S) is associated with relatively dry, stable air; the flow off the continent (238– 288S) coincides with moist, warm, unstable low-level conditions. The precipitation perturbation that is associated with EOF1 is, therefore, consistent with the perturbation of the low-level circulation; both the positive and negative precipitation anomalies over southeastern South America in Figs. 5a and 5b correspond to lowlevel moist static stability anomalies of the opposite sign (Fig. 6d). The low-level circulation associated with the third EOF (Fig. 7) has some features similar to those of EOF1, but with less zonal orientation and more diagonally oriented structure. Warm (Fig. 7c), moist (Fig. 7b) air and unstable conditions (Fig. 7d) are associated with northwesterly flow (Fig. 7a) from the central Andes into the South Atlantic, coinciding with regions of high precipitation 415 (Figs. 5c and 5d). The band of low precipitation to the east generally shows more stable low-level conditions. The diagonal orientation of bands of low-level warm (cold), moist (dry), unstable (stable) air, and high (low) precipitation associated with EOF3 and (to some extent) EOF1 suggest an association with the strength and/or position of the SACZ and associated frontal activity. During positive phases of EOF1 and EOF3 (i.e., south or southeastward shifts of the Bolivian high), the SACZ is shifted west (Figs. 5a,d) of its average position (Fig. 3). Conditions to the east and north are then cooler, drier, and less favorable for convection, resulting in belownormal precipitation for that region. During negative phases, the opposite conditions prevail, and high precipitation shifts to the northeast. This ‘‘seesaw’’ behavior in the SACZ was first noted by Kousky and Casarin (1986) and discussed more recently by Paegle and Mo (1997); both studies suggest a relationship between the SACZ and the 30–60-day (Madden–Julian) oscillation. The present EOF analysis reveals a further connection with the SACZ seesaw, namely, the position and intensity of the Bolivian high. The low-level wind regime (Figs. 2b, 6a, 7a) plays an important role in the position and strength of the SACZ by advecting warm, moist air from the northwest and cool, dry air from the southeast. This is in agreement with Kodama (1993), who found that poleward flow in the SACZ is a critical ingredient for maintaining intense convection. Paegle and Mo (1997) also noted strong northerly flow in northern Argentina during westward shifts of the SACZ (their ‘‘positive’’ phase). The close correspondence between the low-level temperature field (Figs. 6c and 7c) and the 200-mb height field (Figs. 4a and 4c) suggests that the southward shift of the Bolivian high and the corresponding precipitation anomalies (Figs. 5a–d) are both reflections of a warm, unstable lower troposphere. It is also possible that the temperature and height anomalies are, at least in part, responding to diabatic heating within the SACZ; there is a strong resemblance between the linear response to condensational heating in the SACZ [Fig. 7g, Lenters and Cook (1997)] and the high pressure cells of EOFs 3 and 4 (Figs. 4c,d). This interpretation is also supported by the results of Kiladis and Weickmann (1992). The low-level conditions associated with EOF5 (Fig. 8) are rather distinct from those of the first and third EOFs, in that the circulation features show less diagonal structure. A positive moisture anomaly (Fig. 8b) stretches eastward from the central Andes near 208S. Anomalously high temperatures (Fig. 8c) occur nearly directly below the 200-mb high that characterizes EOF5 (Fig. 4e). Anomalous instability is also present (Fig. 8d) in this region, and these features coincide with the associated central Andean precipitation maxima (Figs. 5e,f). Considering that the Altiplano receives most of its moisture from the east, the high humidity along the flank of the central Andes (Fig. 8b) may play an especially im- 416 MONTHLY WEATHER REVIEW VOLUME 127 FIG. 5. Coefficient of correlation between the amplitude of EOF1 and the precipitation field of the (a) NASA/DAO (5-day running mean) and (b) GPI datasets. Regions of statistically insignificant correlation (at the 95% level) are shaded. Contour interval is 0.1, with negative values dashed. (c) and (d), (e) and (f ) As in (a) and (b), but for EOF3 and EOF5, respectively. portant role in the association between EOF5 and precipitation on the Altiplano. The fifth EOF, like the first and third, is associated with anomalously strong northwesterly flow along the eastern flank of the Andes (Fig. 8a). In this case, however, the anomaly is strongest over Peru and Bolivia, well north of the wind regimes associated with EOF1 and EOF3 in Paraguay and northern Argentina. This MARCH 1999 LENTERS AND COOK 417 FIG. 6. Coefficient of correlation between the amplitude of EOF1 and the 5-day running mean 850-mb (a) wind velocity, (b) specific humidity, (c) temperature, and (d) moist static stability from the NASA/DAO analyses. Unshaded regions indicate a statistically significant correlation at the 95% level; for (a) either the zonal or meridional wind speed must be significantly correlated. The vector beneath (a) indicates a correlation magnitude, (ru2 1 ry2)1/2 , of 0.6, and the contour interval in (b)–(d) is 0.1, with negative contours dashed. suggests that the moist air just east of the central Andes may be more tropical in origin than the SACZ-like bands associated with EOF1 and EOF3. 5. Temporal variability of the circulation patterns There are a number of similarities among the EOFs, such as enhanced northwesterly flow over western South America and its association with a band of warm, moist, unstable air and high precipitation, as well as low precipitation over eastern portions of the continent. This is somewhat unsatisfying, as the distinctions among the EOFs are blurred, and it may be inappropriate to treat the EOFs as truly independent modes of variability. However, further distinction among the EOFs emerges by comparing the temporal variability of their respective amplitudes. Three timescales are considered. The first concerns the seasonal cycle, specifically that portion which occurs within DJF. Figure 9a shows the six-summer mean, nor- malized precipitation for DJF from the stations at La Paz and Juliaca. The seasonal cycle for these three months consists of a progression from a relatively dry December, through January (the wettest month of the year on average), and back to a drier February. According to a standard t test (assuming independence), precipitation differences between January and the other two months are statistically significant well beyond the 95% level. We examine the seasonal cycle in each of the three EOFs to understand how each contributes to establishing the observed cycle in precipitation. Interannual variability and the intraseasonal ‘‘event’’ timescale (roughly 5–20-day episodes) are also considered. a. Climatological seasonal cycle To decompose the time-mean seasonal cycle for DJF, the amplitudes of EOFs 1, 3, and 5 are averaged over the eight summer seasons to form three time series; these are indicated by the solid lines in Figs. 9b–d. Since an 418 MONTHLY WEATHER REVIEW VOLUME 127 FIG. 7. As in Fig. 6 but for EOF3. eight-sample average is not large enough to identify a robust seasonal cycle, a monthly average was also formed by sampling the time series every five days (starting with 3 December) and averaging the first middle, and last six samples. These three 240-day averages are indicated by the dashed lines in Figs. 9b,d. (Similar methodology was followed to obtain the 6-yr mean precipitation shown in Fig. 9a.) Although the time period used in creating the seasonal cycle includes two moderate El Niño episodes (1987 and 1992), excluding these years from the average has a minimal effect. To maintain as large a sample size as possible, the full datasets are used. The first EOF shows a statistically significant increase in amplitude from December to January, but a much smaller (and insignificant) decrease from January to February (Fig. 9b). This suggests that EOF1 is associated with the Altiplano’s summer transition from dry (December) to wet (January), but not from wet to dry (February). EOF3 exhibits no significant seasonal variability (Fig. 9c). The fifth EOF shows only a weak transition from December to January but a significant high-to-low transition from January to February (Fig. 9d). The seasonal cycle of EOF2 (not shown) is similar to that of EOF1 and lags the precipitation time series by about 7 days, consistent with the earlier results. The seasonal variability in EOF1 and EOF5 together account for the transitions that lead to the observed seasonal cycle in the Altiplano precipitation record. Are the circulation anomalies associated with these EOFs forcing the transitions, or are they reflecting changes in the diabatic heating field when the precipitation regimes change for some other reason? The transition of EOF1 from December to January in the 5-day-mean time series (solid line in Fig. 9b) clearly leads the transition in the precipitation field (Fig. 9a) by 2–3 days. Similarly, the transition of EOF5 from January to February leads the rainfall transition by at least 3–4 days. This suggests that the tendency of the Altiplano to be wetter during January than during December or February is, at least in part, dynamical in origin and is not simply a local, convective response to the change in solar zenith angle. This is similar to the idea offered by Horel et al. (1989) regarding the Amazon Basin’s rapid transition to the west season. The significant correlation between the amplitude of MARCH 1999 LENTERS AND COOK 419 FIG. 8. As in Fig. 6 but for EOF5. EOF1 and the South American precipitation field (Table 1) suggests that the transition from a relatively dry December (negative phase of EOF1) to a wetter January (positive phase of EOF1) on the Altiplano is accompanied by a westward (eastward) displacement of the SACZ. Composite precipitation anomaly maps (not shown) for December and January support this interpretation. According to Fig. 6 (with change of sign), northwesterly flow over the eastern Amazon Basin and western South Atlantic during December supports a band of warm, moist, unstable air at 850 mb, whereas conditions to the southwest, near the central Andes, are nearly opposite. These low-level anomalies reverse in January, when EOF1 enters its positive phase. The transition to relatively dry conditions in February, in association with a sign change in EOF5, is by a different mechanism. For the wet-to-dry transition, convection is suppressed by a reversal in the anomalous 850-mb northwesterly wind flow along the northern central Andes and an accompanying drop in temperature and humidity east of the Altiplano (Fig. 8). This analysis suggests that positive phases of EOF1 and EOF5 are each necessary, but insufficient conditions for high precipitation on the Altiplano during January. During December and February cool, dry, southeasterly flow at 850 mb is present along at least some portion of the central Andes, since the amplitude of either EOF1 or EOF5 is negative. During January, warm, moist, northwesterly flow spans the full length of the central Andes, providing abundant moisture and low-level instability. This northwesterly flow often manifests itself as a low-level jet, and is capable of transporting significant amounts of moisture poleward (Berri and Inzunza 1993; Paegle and Mo 1997). b. Interannual variability Time series for studying interannual variability were generated by first subtracting the climatological seasonal cycle from the 8-yr EOF time series and the 6-yr Altiplano station data precipitation record. Monthly averages were formed by sampling the resulting time series every five days and averaging the first, middle, and last six samples. The monthly mean anomalies are shown for precipitation (solid line) and EOF5 (dashed line) in Fig. 10. The precipitation anomalies show a moderate 420 MONTHLY WEATHER REVIEW VOLUME 127 FIG. 9. (a) Seasonal cycle of normalized summertime precipitation on the Altiplano. Solid line indicates the six-summer average (DJF 1985–91) of the standardized 5-day running mean Altiplano precipitation rate. Dashed line represents 30-day averages. Numbers on x axis indicate the day of the season. (b), (c), and (d) As in (a) but for the amplitudes of the first, third, and fifth EOFs, respectively. amount of interannual variability, with February and December of 1986 and January of 1987 and 1988 being particularly wet months. The three driest months of the period are January of 1986 and February and December of 1987, the two months that appear to be most strongly affected by the 1987 El Niño. The interannual variability of EOF5 (dashed line in Fig. 10) is similar to that of the Altiplano precipitation. The coefficient of correlation is 0.82, which is statistically significant at the 99% level. This is notably higher than corresponding correlations for EOF1 and EOF3 (r ø 0.55 and 20.14, respectively), indicating that in- FIG. 10. Interannual variability of the Altiplano precipitation rate (solid), amplitude of EOF5 (dashed), and SOI (dotted) for DJF 1985–93 (SON 1985–92 in the case of the SOI, which leads the other two time series by 3 months). Anomalies represent monthly deviations from the 8-yr (or 6-yr) monthly mean and have been normalized by the std. dev. for the period shown. MARCH 1999 LENTERS AND COOK terannual fluctuations in summertime precipitation on the Altiplano are primarily associated with circulation anomalies captured by EOF5. When the amplitude of EOF5 is low, such as during the 1987 El Niño, anomalously cool, dry, southeasterly flow prevails along the central Andes, shifting the Bolivian high northward and reducing precipitation rates on the Altiplano (Figs. 4e; 5e,f; and 8, with change of sign). During above-normal phases of EOF5, such as February 1986, warm, moist, air is advected from the northwest, the Bolivian high is displaced southward, and high precipitation rates occur on the Altiplano. Thus, the connection between Altiplano precipitation and the north–south position of the Bolivian high also applies to interannual timescales, as was first suggested by Kessler (1981). To further explore possible connections between ENSO and Altiplano precipitation, standardized monthly anomalies of the SOI for SON 1985–92 are plotted in Fig. 10 (dotted line; seasonal means removed, as in the precipitation and EOF5 time series). The SOI is moderately correlated with both EOF5 and the Altiplano precipitation, with r ø 0.51 and 0.63, respectively (both significant at the 90% level). The three time series correspond particularly well during the 1987 El Niño. These results corroborate the previously noted connections between ENSO and precipitation variability on the Altiplano (Aceituno 1988; Martin et al. 1993). It should be noted that some extremes in the SOI (e.g., the 1988/ 89 La Niña) do not appear in Fig. 10 since the seasonal means have been removed. A case study of the 1987 El Niño event is presented here to explore the physical mechanisms that connect the circulation anomalies of EOF5 with the interannual variability of Altiplano rainfall. This period is chosen because of its anomalous nature (the large negative anomalies in Fig. 10), as well as the significant influence that El Niño events, in general, have on Altiplano precipitation rates. The focus of the case study is the abrupt transition from wet conditions in January 1987 to dry conditions in February 1987, which coincided with the development of classical El Niño conditions along the west coast of South America (Kousky and Leetmaa 1989). The transition is reflected in EOF5 as a significant drop in amplitude (Fig. 10), which occurred approximately six days before the precipitation decrease. Figure 11 shows six Hovmöller diagrams, which depict the evolution of precipitation and large-scale circulation anomalies from the NASA/DAO reanalysis from 22 January to 26 February 1987. The anomalies represent 5-day running mean deviations from the 8-yr February mean, averaged between 128S and 188S (four grid points; less than four in regions of topography, where missing data is ignored). The longitude domain includes the coastal areas of Peru, west of about 708W; the northern Altiplano and eastern flank of the central 421 Andes, between approximately 708W and 608W; and the Amazon Basin, east of about 608W. At the beginning of the analysis period, the Altiplano was experiencing the last wet episode of the 1986/87 summer season (Fig. 11a). Associated with this wet period was a strengthening of the Bolivian high (Fig. 11b), a strong northerly low-level wind anomaly (Fig. 11c), and above-normal 850-mb specific humidity (Fig. 11d). The Bolivian high reached a maximum over the Altiplano 2 days after the rainfall maximum and propagated westward (Fig. 11b). This was associated with a drop in amplitude of EOF2 (not shown). As the Altiplano precipitation rates decreased after 26 January, the northerly wind anomaly propagated to the east (Fig. 11c) and the specific humidity decreased with the intrusion of dry air from the east (Fig. 11d). It is difficult to ascertain why the dry air spreads westward since the moisture advection and divergence fields are noisy (not shown). However, the westward propagation of the trough to the east of the Bolivian high (Fig. 11b) may be associated with horizontal wind convergence and compensatory subsidence at lower levels as in the upper-tropospheric cyclonic vortices studied by Virji (1981) and Kousky and Gan (1981). The dry period from 2 to 7 February is not particularly unusual. However, on 8 February low-level winds east of the Altiplano became more southerly (Fig. 11c) and advected cool, dry, stable air northward (Figs. 11d,f). This occurred in association with a strong cold front, which extended well to the southeast and triggered convection in the SACZ and Amazon basin (Fig. 11a). At about the same time, convection and low-level humidity began to increase along the coast of Peru (Figs. 11a and 11d), where atmospheric conditions had been relatively warm and unstable since the end of January (Figs. 11e,f). By 11–12 February, 5-day mean precipitation rates on the Altiplano and nearby low-level temperature and humidity levels were at a minimum. A deep upper-level trough developed in association with the cold front, and the southerly wind anomaly at 850 mb was greater than 7 m s21 (Fig. 11c). The full 850-mb wind was greater than 5 m s21 , the largest, positive, meridional wind speed of the entire eight-summer time period. The 850mb temperature anomaly at 638W was also the coldest reached along the eastern flank of the central Andes. Temperature, humidity, and 200-mb heights returned to normal by about 20 February, but Altiplano precipitation rates remained below normal through the remainder of the month (Fig. 11a). Rainfall along the coast of Peru subsided by 22 February, but conditions there remained relatively favorable for convective development (Figs. 11d and 11f). The only circulation anomaly that persisted was the low-level southerly wind (Fig. 11c). It was weak by 26 February, but may be connected with the continued dry conditions on the Altiplano by preventing the influx of tropical moisture from the north. This case study suggests that, on interannual time- 422 MONTHLY WEATHER REVIEW VOLUME 127 FIG. 11. Hovmöller diagram of anomalous 5-day running mean (a) precipitation rate (mm day 21 ), (b) 200mb geopotential height (m), and 850-mb (c) meridional wind speed (m s 21 ), (d) specific humidity (g kg21 ), (e) temperature (8C), and (f ) moist static stability [8C (100 mb)21 ] for 22 Jan–26 Feb 1987. Anomalies represent deviations from the 8-yr ‘‘Feb’’ average (30 Jan–28 Feb) and are averaged over 128–188S. Negative values are shaded. Data obtained from the NASA/DAO analyses. scales, dry conditions on the Altiplano may be the result of anomalously strong or persistent cold fronts in association with the SACZ. The corresponding southerly advection of dry, stable air (one of the defining characteristics of the negative phase of EOF5) would then be responsible for suppressing convection in the region and shifting the Bolivian high northward. Such frontal activity would also be associated with enhanced convection over the southern Amazon Basin, as occurred during the case study and is evident in the precipitation field associated with the negative phase of EOF5 (Figs. 5e and 5f). This is consistent with the results of a number of authors (Nobre and Oliveira 1986; Aceituno 1988; Rao and Hada 1990; Gan and MARCH 1999 LENTERS AND COOK Rao 1991), who show that southern Brazil and northern Argentina experience increased cyclogenesis, frontal activity, and precipitation during negative phases of the Southern Oscillation. If dry conditions on the Altiplano during El Niño are associated with extreme or persistent frontal activity to the east (in the SACZ), then what is the causal connection? One possibility is that the connection is made through the South Pacific convergence zone (SPCZ). During negative phases of EOF5, dry conditions on the Altiplano and wet conditions in the SACZ are associated with an eastward shift of the SPCZ of about 208–308 relative to the positive phase (Lenters 1997b). An eastward shift of the SPCZ is also a general characteristic of El Niño (Kousky et al. 1984) as a result of higher sea surface temperatures in the central and eastern equatorial Pacific. Teleconnections between the SPCZ and SACZ have been suggested (Lau and Chan 1983; Kalnay et al. 1986; Kousky and Casarin 1986; Grimm and Silva Dias 1995; Paegle and Mo 1997), and Kalnay et al. (1986) note that ‘‘the SACZ tends to occur when the SPCZ is strong and displaced to the east.’’ This is in agreement with the results of Grimm and Silva Dias (1995), who simulate an anomalous trough over the SACZ in response to a southeastward-displaced SPCZ. Eastward displacement of the SPCZ during El Niño may cause such enhancement of frontal activity in the SACZ through blocking activity or changes in the Walker circulation (Kousky et al. 1984). This increased frontal activity in eastern South America is then likely to embed the Altiplano in cool, dry, convectively unfavorable conditions. c. Intraseasonal events The first, third, and fifth EOFs are not clearly distinguishable on intraseasonal timescales. For example, the 1986/87 rainy season on the Altiplano was characterized by three distinct episodes of high precipitation. EOF5 has maxima during each of the three wet episodes (not shown); but EOF1 also has amplitude maxima during the latter two wet events, and EOF3 is large and positive (negative) during the second (third) event. In general, no one particular EOF appears to be associated with intraseasonal wet or dry events on the Altiplano. When one EOF is strong, the remaining EOFs tend to have large amplitudes as well. This is a limitation of the EOF analysis and reflects a lack of ‘‘simple structure’’ in the EOF patterns. One can often obtain simple structure and avoid the above difficulties by rotating the EOFs, a procedure that is described in detail by Richman (1986). Rotated EOFs would likely provide additional understanding of the circulation features associated with intraseasonal wet and dry episodes on the Altiplano. Instead of rotating the EOFs, however, we use compositing to focus on the synoptic meteorology associated with high precipitation events in the central Andes. Although more subjective than EOF rotation, this approach 423 emphasizes the meteorological conditions associated with Altiplano rainfall. Also, continued use of EOFs (rotated or otherwise) does not show promise for resolving the difficulties encountered with EOF3, namely, associating both its positive and negative phases with Altiplano precipitation. We first define wet 5-day periods, using all three precipitation datasets. A time series consistent with the sampling of the station data was constructed from the NASA/ DAO analyses by averaging the 5-day running mean precipitation rates at three grid points in the Altiplano region (centered at 168S, 708W; 188S, 67.58W; 208S, 67.58W). The same was done for the GPI data, except only two grid points were used (centered at 16.258S, 68.758W and 18.758S, 68.758W) and the temporal resolution was restricted to pentads. ‘‘Wet’’ pentads were defined as those in which the 5-day-averaged precipitation rate was above the summer median in at least two out of the three datasets (two out of two for 1991/92 and 1992/93). The remaining pentads are designated as ‘‘dry.’’ Of the 136 pentads, 61 are wet, and 75 are dry. The daily circulation and precipitation anomalies (deviations from the seasonal means shown in Figs. 2 and 3; NASA/DAO data) within each wet pentad were visually examined to subjectively identify distinct circulation modes that characterize wet episodes. Guided by the EOF analysis, we paid close mention to the presence of warm, moist, unstable air at 850 mb, the positions and intensities of the Bolivian high and SACZ, and the low-level flow east of the Andes. Three distinct circulation types were identified and assigned to each of the 305 days of the 61 wet pentads. Not all of the precipitation events fit a particular category equally well; in a number of cases the resemblance is borderline. However, to maintain a large sample size for compositing, no wet days were left uncategorized. Although this introduces more variability within each category, the larger sample size allows the averaging process to ‘‘filter out’’ the less robust circulation features of the wet episode, thereby increasing one’s confidence in the anomalies that remain. An implicit assumption in our categorization process is that each of the five days within a wet pentad is characterized by high rainfall. This assumption, which is not likely to be true in all cases, is difficult to avoid given the restriction of the GPI data to pentads. Despite these inherent problems with the subjective categorization process, the results that follow show statistically significant anomalies associated with each of the three types of synoptic conditions. Furthermore, in many instances the results are closely corroborated by the preceding EOF analysis. 1) EXTRATROPICAL CYCLONE ACTIVITY— WESTWARD SHIFT OF SACZ The first type of precipitation event, which we associate with extratropical cyclone activity and a west- 424 MONTHLY WEATHER REVIEW ward shift of the SACZ, is characterized by wet conditions in the central Andes and dry conditions in the Amazon Basin. This type accounts for 104 of the 305 rainy days in the time series. Figures 12a,b show precipitation anomalies (difference from the dry pentads) for this type of wet period for the NASA/DAO and GPI precipitation records. The suggestion of links between Altiplano rainfall and the position of the SACZ in these figures is consistent with the EOF analysis. The 200-mb circulation field associated with this type of precipitation event has a zonally elongated high pressure anomaly centered on the coast to the southeast of the precipitation maximum (Fig. 12c), with anomalous low pressure over the Amazon Basin. In the lower troposphere, this structure is reflected by same-sign temperature anomalies (Fig. 12d) and northwesterly flow east of the central Andes (Fig. 12e). Low-level specific humidity (Fig. 12f) and moist static stability anomalies (not shown) also mimic the structure in the precipitation field. Note the evidence of low-level cyclonic circulation southeast of the central Andes (Fig. 12e). This is a reflection of transient cyclonic vortices. Our examination of the daily synoptic conditions associated with this type of precipitation event shows these cyclones forming or intensifying in the lee of the southern central Andes (generally between 208S and 408S), and propagating to the east-southeast. Many of these cyclones are ‘‘Chaco lows’’ (Satyamurty et al. 1990), but there are also mature, eastward-propagating midlatitude systems that cross the southern Andes in association with this type of precipitation. [See Lenters (1997a) for case studies of the composite events presented in this section.] Strong pressure gradients to the northeast of the extratropical cyclones lead to warm, moist, low-level flow from the northwest and an intense, active SACZ, which is displaced westward of its climatological position (Fig. 3). The associated convection behind the warm front is often observed to wrap around the cyclone in a classic comma-shaped pattern [as in Fig. 1 of Virji (1981)], with a strong cold front following the convection. These extratropical characteristics of the SACZ have been noted before (e.g., Kodama 1993), but have not been previously associated with Altiplano precipitation to our knowledge. Structures identified in several of the EOFs are represented, including wet (dry) SACZ-like structure in the central Andes (Amazon Basin), the enhanced Bolivian high southeast of the Altiplano, and the northwesterly wind flow and associated warm, moist air at low levels. The average amplitudes of EOF1, EOF2, and EOF5 during this type of precipitation event are significantly higher than during dry periods. (EOF3 also shows a positive difference, but it is not statistically significant.) This reiterates the difficulties in interpreting the unrotated EOFs as distinct modes of intraseasonal variability. On the other hand, one can conclude that at least three of the EOFs are (in part) an upper-level manifestation of cyclone activity. VOLUME 127 The composite fields (Fig. 12) also bear close resemblance to the ‘‘weakened’’ or ‘‘positive’’ phase of the SACZ seesaw identified by Paegle and Mo (1997). This suggests that the mode that they identified is associated with cyclone activity and the early stages of a developing SACZ. This would account for the observed westward displacement and/or weakening of the convergence zone. 2) COLD-CORE SACZ SUBTROPICAL LOWS—INTENSIFIED The composite wet-minus-dry precipitation pattern associated with the second type of event is shown in Fig. 13. This type accounts for 94 of the 305 rainy days in the time series. Both datasets show anomalously high precipitation in the central Andes and reduced precipitation over southern Brazil and northern Argentina (Figs. 13a,b). Increased rainfall is also present over the average position of the SACZ (Fig. 3), suggesting that this type of precipitation event is associated with an intensification of the convergence zone. Aside from increased central Andean rainfall, this second type of precipitation event has conditions nearly opposite to those identified in the previous type of wet episode. The most prominent circulation anomaly is a deep, cold-core low centered at about 308S, 458W and between at least 200 and 850 mb (Figs. 13c and 13e). At low levels the circulation about the low brings cool, dry air (Figs. 13d and 13f) onto the coast near 558W, coincident with the negative precipitation anomaly (Figs. 13a,b). The anomalous low-level northwesterly flow along the eastern flanks of the northern central Andes (Fig. 13e) and the associated region of relatively high specific humidity (Fig. 13f) suggest that the winds along the Andes may be advecting tropical moisture from the northwest, thereby fueling convection on the Altiplano. Results from a case study (Lenters 1997a) suggest that low-level wind convergence to the northwest of the cold-core low (i.e., the confluence of northwesterly and southeasterly winds in Fig. 13e) may also play a role in supporting the high rainfall rates. Aside from the central Andes region, the precipitation anomalies associated with an intensification of the SACZ (Figs. 13a,b) are similar to the negative phase of EOF3 (Figs. 5c,d) and the ‘‘intensified SACZ’’ phase identified by Paegle and Mo (1997). Furthermore, the composite amplitude of EOF3 for these events is strongly negative, and the low-level circulation patterns in Figs. 13d,f are very similar to those associated with the negative phase of EOF3 (Figs. 7a–c, with change of sign). Thus, the low correlation between EOF3 and Altiplano precipitation (Table 1) does not indicate a lack of significance for this type of circulation pattern. Rather, it simply does not capture the tendency for Altiplano rainfall to be above normal during times when the Bolivian high is stronger to the southeast (as in Fig. 12c) MARCH 1999 LENTERS AND COOK FIG. 12. Anomalous precipitation field associated with wet conditions on the Altiplano during composite episodes of extratropical cyclone-induced westward shifts of the SACZ based on (a) NASA/ DAO analyses and (b) GPI data. Contour interval is 1 mm day21 (negative values dashed) and shading indicates statistically insignificant differences from dry conditions at the 95% level (based on twosided Student’s t-test, assuming independence). (c)–(f ) As in (a), but for the (c) 200-mb height and wind fields (10-m contour interval, 10-m s21 wind vector) and 850-mb (d) temperature (0.38C contour interval), (e) height and wind (5-m contour interval, 5-m s21 wind vector), and (f ) specific humidity (0.3 g kg21 contour interval). 425 426 MONTHLY WEATHER REVIEW VOLUME 127 FIG. 13. As in Fig. 12 but for wet episodes associated with cold-core subtropical lows and intensification of the SACZ. as well as during times when the high is weaker to the southeast (as in Fig. 13c). 3) WESTWARD ENHANCEMENT OF SOUTH ATLANTIC HIGH AND SACZ The third type of atmospheric conditions that we relate to above-normal precipitation events in the central Andes is associated with a westward enhancement of the South Atlantic high. The precipitation anomalies (Figs. 14a,b) are similar to those associated with extratropical cyclone activity (Figs. 12a,b), with high precipitation over the central Andes accompanied by anomalously dry conditions over the eastern Amazon Basin, suggesting a westward shift of the SACZ. The region of enhanced precipitation (Figs. 14a,b) does not have the diagonal orientation typ- MARCH 1999 LENTERS AND COOK 427 FIG. 14. As in Fig. 12 but for wet episodes associated with westward enhancement of the South Atlantic high and SACZ. ically associated with the SACZ, but the low-level circulation features are similar to those of the SACZ, as discussed below. The composite 200-mb circulation anomalies include easterly flow over the Altiplano, with a well-defined high pressure cell roughly 158 to the south (Fig. 14c). This anticyclonic anomaly is similar to EOF5 (Fig. 4e) and represents a southward shift of the Bolivian high. (The latitudinal position of the two cells in Figs. 4e and 14c is more similar if Fig. 14c is normalized by its standard deviation, as was done for the EOFs.) At 850 mb a high temperature anomaly west of 508W and south of about 208S (Fig. 14d) is positioned beneath the 200mb anticyclone. This warm air appears to have been advected from the north along the western flank of an anomalous low-level high (Fig. 14e), which is centered 428 MONTHLY WEATHER REVIEW over Uruguay and southern Brazil. This low-level feature represents the most distinct difference from the first type of wet event, which is otherwise very similar, but shows cyclonic circulation southeast of the central Andes (Fig. 12e). Both composites, however, are characterized by moist, poleward flow at low levels (Figs. 12e,f and 14e,f) along a region of enhanced convection (Figs. 12a,b and 14a,b) and decreased static stability (not shown). Such features are characteristic of the SACZ (Kodama 1992; Kodama 1993), but in this case are located near the Andes, west of the SACZ’s climatological position. Positive (negative) humidity anomalies at low levels (Fig. 14f) along the western (eastern) flank of the 850mb high pressure anomaly suggest the southward (northward) advection of moist (dry) air in connection with the anticyclonic circulation. This high humidity along the eastern flank of the southern central Andes, together with some conditional instability associated with the band of warm air, appear to be the primary mechanisms responsible for high rainfall on the Altiplano during these episodes. The full-field 850-mb high pressure cell manifests itself as a westward enhancement of the South Atlantic high, which typically does not extend far onto the continent during the summer. The SACZ is usually located along the western flank of the South Atlantic high (e.g., Kodama 1992), and so a westward enhancement of the high is consistent with the aforementioned westward displacement of the SACZ. The associated low-level moisture flux along the western flank of the high and, therefore, the moisture source for the Altiplano are from the northeast (the South Atlantic and eastern Amazon), as opposed to the northwesterly flux that is characteristic of the other two types of wet episodes. 6. Discussion and summary The large-scale circulation mechanisms associated with daily to interannual rainfall variability over South America during austral summer have been investigated using observations from eight summer seasons (DJF 1985/86–1992/93). Particular emphasis has been placed on understanding the role of the Bolivian high in the episodic nature of precipitation on the Altiplano of the central Andes. Gridded atmospheric analyses and three independent measures of precipitation have been analyzed using a variety of methods, including composite, EOF, and correlation techniques, as well as a case study of the 1987 El Niño. The results reveal a number of important relationships between South American precipitation variability and features of the large-scale circulation. a. Intraseasonal wet episodes On the intraseasonal ‘‘event’’ timescale, summer rainy periods on the Altiplano have been observed to VOLUME 127 be associated with at least three types of synoptic conditions. The first is characterized by the presence of low pressure southeast of the Altiplano, either in the form of a developing Chaco low in northern Argentina, or as a propagating extratropical cyclone further south. Similar cyclonic vortices have been identified by Satyamurty et al. (1990). The low pressure systems are usually associated with strong low-level northwesterly winds, which advect warm, moist, unstable air along the eastern flank of the central Andes, triggering convection on the Altiplano. The convection extends southeastward into the SACZ, which is westward of its climatological position during such episodes, creating drier-than-normal conditions over the Amazon Basin. Kodama (1993) also noted that poleward low-level flow is instrumental in maintaining intense convection in the SACZ, but the connection with precipitation on the Altiplano has not been previously revealed. Because of the warm front and intense convection, the Bolivian high is stronger and extends anomalously southeastward along the band of warm air. Meanwhile, southerly flow along the western flank of the low-level cyclone advects cool, dry air along a cold front that lies beneath an upper-level trough immediately west of the SACZ. Others have found similar 200-mb height patterns to be associated with strong convection in the western Amazon Basin and reduced precipitation in the climatological SACZ (Kiladis and Weickmann 1992; Paegle and Mo 1997). The second type of synoptic condition is characterized by northerly flow along the northern central Andes and along the eastern flank of a cold-core low positioned over southeastern South America. The SACZ is intensified as a result of the diversion of moisture around the northern periphery of the low. High precipitation on the Altiplano is maintained by the northwesterly flux of tropical moisture along the northern central Andes, as well as the convergence of this flux with southerly flow along the western flank of the low. Because of the coldcore nature of the cyclone, an upper-level trough prevails over southern Brazil, and the Bolivian high is shifted southwestward instead of southeastward. A similar relationship to strong convection over eastern Brazil has been noted by Kiladis and Weickmann (1992) and Paegle and Mo (1997). The third type of large-scale circulation pattern observed to be associated with intraseasonal wet episodes on the Altiplano is related to a westward enhancement of the South Atlantic high and SACZ. The anomalous high pressure over south-central South America advects warm, moist air along the eastern flank of the southern central Andes, providing convectively favorable conditions. The flux of moisture toward the central Andes is directed from the South Atlantic and eastern Amazon Basin, as opposed to the northwesterly flux typical of the other two episodes. Anomalously dry, southerly flow over eastern portions of the continent inhibit convection over much of the Amazon Basin. The Bolivian high is MARCH 1999 LENTERS AND COOK stronger and shifted southward as a result of the warm anomaly along the southern central Andes. b. Climatological seasonal cycle The Altiplano receives more precipitation during the month of January than during December or February. This longer-timescale variability represents a 3-month segment of the 12-month annual cycle, and is a reflection of a greater number of wet episodes during January. During December anomalously dry (moist), southeasterly (northwesterly) flow in eastern Bolivia (Brazil) is associated with an eastward displacement of the SACZ and, correspondingly, fewer rainy episodes on the Altiplano. A positive (and anomalous) meridional temperature gradient at low levels results in a northward shift of the Bolivian high. January is characterized by a westward displacement of the SACZ and a southward shift of the Bolivian high. Northwesterly moisture flux at 850 mb along the entire eastern flank of the central Andes leads to more numerous rain events. Drier conditions on the Altiplano during February are accompanied by a reduction in the northwesterly flux of moisture along the northern central Andes, a drop in temperature and humidity east of the Altiplano, and a weakening and northward displacement of the Bolivian high. There is some evidence that the transitions to wetter conditions on the Altiplano in January and drier conditions in February lag related transitions in the 200mb geopotential height field by a few days. This suggests that the seasonal cycle of summer rainfall on the Altiplano is not simply due to local changes in solar insolation, but is more closely associated with changes in the large-scale circulation, such as variations in the moisture supply east of the central Andes. c. Interannual variability Summer rainfall on the Altiplano is characterized by a significant amount of interannual variability. Some of this variability, such as the dry period during February and December of 1987, is associated with El Niño and the Southern Oscillation. In addition, over 67% of the interannual variance in monthly mean precipitation rate on the Altiplano is accounted for by the amplitude of the fifth EOF of the 200-mb geopotential height field. The negative (dry) phase of this EOF, such as occurred during the 1987 El Niño, is associated with a weakened and northward displaced Bolivian high and a region of cool, dry, southerly flow at low levels east of the Altiplano. During the January–February onset of the 1987 El Niño dry period, the cold, low-level air associated with the negative phase of EOF5 was related to the northward penetration of a strong cold front along the eastern flank of the central Andes. The dry, stable conditions and persistent southerly flow that followed the passage of the front inhibited convection on the Altiplano for 429 weeks. Though the case study was restricted to the dry period of February 1987, the statistically significant correlation between EOF5 and Altiplano precipitation rates suggests an explanation that is more generally applicable, perhaps even to other ENSO events. The proposed mechanism is also consistent with previous studies (e.g., Aceituno 1988; Rao and Hada 1990; Gan and Rao 1991), which indicate increased cyclogenesis, frontal activity, and precipitation in southeastern South America during El Niño. The fundamental link to ENSO may be through the SPCZ, which is shifted eastward during El Niño and is evidenced to have teleconnections with the SACZ. d. The Bolivian high–Altiplano rainfall connection The southward displacement of the Bolivian high during intraseasonal wet episodes on the Altiplano is related (through hydrostatic balance) to warm, low-level air that has been advected southward along the Andes. This warm air is generally accompanied by reduced vertical stability and high humidity, providing conditions favorable for convection on the Altiplano. Thus, the southward displacement of the Bolivian high does not necessarily ‘‘cause’’ high precipitation on the Altiplano, but is simply an upper-level manifestation of the low-level mechanisms responsible for triggering the convection. Both the southward shift of the Bolivian high and the accompanying Altiplano rainfall are intimately related to the position and intensity of the SACZ. In this respect, then, the SACZ and its associated frontal activity are an important source of variability for the Bolivian high and Altiplano precipitation. A second reason for the observed shift of the Bolivian high during wet episodes is simply that the upper-level circulation responds to the release of anomalous latent heat during rainy periods. This is suggested by the second EOF of the 200-mb geopotential height field, which closely resembles the linear response to diabatic heating over the central Andes (high pressure to the southwest and easterly flow to the north) and is significantly correlated with Altiplano precipitation on a 5–10-day lag. Modeling studies have also simulated the formation and southwestward propagation of anomalous high pressure in response to diabatic heating over the South American region (e.g., DeMaria 1985). On the longer timescale of the seasonal cycle, the southward shift of the Bolivian high remains evident (during January, the wettest month), but the 200-mb anomaly is more zonally elongated (as represented by the first EOF). This is partly because the various types of wet episodes, each of which have distinctly different 200-mb height patterns away from the Altiplano, are blended together in the January average. However, the more zonally uniform structure may also reflect the influence of the annual cycle of solar insolation on the low-level temperature field. Finally, on interannual timescales, wet (dry) months 430 MONTHLY WEATHER REVIEW are once again characterized by a strengthened (weakened) and southward (northward) displaced Bolivian high. As evidenced by the 1987 El Niño, this connection (unlike that for the seasonal cycle) appears to be less related to a blending of wet (or dry) episodes, but is instead a reflection of extreme conditions, such as the anomalous northward penetration of strong cold fronts. e. Caveats and directions for future research A significant limitation of the present study is the relatively short analysis period, which is restricted to eight summer seasons (six for the station data) by the limited temporal coverage of the atmospheric datasets. Use of longer datasets would increase the statistical significance of the results, particularly over the seasonalcycle and interannual timescales. The full range of interannual variability should be examined as well, not just anomalies within individual seasons. Another drawback of this study is the subjective analysis of intraseasonal wet events. With some of the important largescale circulation mechanisms identified, it would be instructive to undertake a more objective diagnosis, perhaps through rotated EOFs or an objective scheme for categorizing events. The incorporation of a more rigorous treatment of statistical significance would also be worthwhile. The influence of tropical disturbances, relative to extratropical disturbances, may be underestimated in this study. An inherent bias arises since temperature and geopotential height anomalies at higher latitudes are typically much larger than those in the Tropics and so are more visible in the composite and case study analyses. (The EOF analysis was performed on normalized geopotential height fields to reduce this bias.) This problem is exacerbated by the difficulty in obtaining accurate estimates of important tropical fields such as vertical velocity. Although the Bolivian high is clearly a feature of tropical origin (Lenters and Cook 1997), this study suggests that much of its variability reflects extratropical influences. Further exploration of these tropical–extratropical interactions would be relevant for understanding variability on a wide range of timescales. In addition, placing the identified mechanisms in a more global context would be useful, such as examining potential links with the 30–60-day (Madden–Julian) oscillation. Finally, the physical mechanisms responsible for dry conditions on the Altiplano during ENSO should be more rigorously and thoroughly investigated. The preliminary explanation offered here attributes the cause to frontal activity in the SACZ and, ultimately, to convection in the SPCZ. However, other mechanisms should be explored as well, and over numerous ENSO events. For example, the close proximity of the Altiplano to the ENSO-sensitive coastal areas of Peru suggests a potentially more direct link to El Niño. More rigorous examination of teleconnections between the VOLUME 127 SPCZ, SACZ, and other subtropical convergence zones in the Southern Hemisphere would also contribute greatly to our understanding of the ENSO phenomenon. Acknowledgments. The authors wish to thank three anonymous reviewers, who provided valuable contributions to the revised manuscript. Some of the data used in this study were produced through funding from the Earth Observing System of NASA’s Mission to Planet Earth in cooperation with the National Oceanic and Atmospheric Administration. The data were provided by the Earth Observing System Data and Information System Distributed Active Archive Center at Goddard Space Flight Center, which archives, manages, and distributes this dataset. 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