Indian Journal of Radio & Space Physics Vol 42, October 2013, pp 340-355 Migrating and non-migrating diurnal and semi-diurnal tides over a tropical and an equatorial station K N Uma$,*, Karanam Kishore Kumar & Siddarth Shankar Das Space Physics Laboratory, Vikram Sarabhai Space Centre, ISRO-PO, Thiruvananthapuram 695 022, India $ E-mail: [email protected] Received 22 January 2013; revised 13 May 2013; accepted 16 May 2013 VHF radar measurements of hourly winds in the lower atmosphere are utilized to study the diurnal and semi-diurnal tides over two key geographical locations, Gadanki (13.45°E, 79.18°E), India and Kotatabang (0.2°S, 100.2°E), Indonesia. The analysis shows that tidal amplitudes exhibit maxima in upper troposphere lower stratosphere (UTLS) region during June-September over Gadanki and during March and September over Kotatabang. The vertical wavelength is 3-5 km at Gadanki and 25-30 km at Kotatabang in UTLS region, which reveal the existence of non-migrating and migrating tides, respectively. The analysis shows the maximum rainfall during June-September over Gadanki, whereas uniform rainfall throughout the year over Kotatabang. The brightness temperature shows deep (at Gadanki) and shallow (at Kotatabang) convective clouds during these periods. The release of latent heat due to deep convective cloud is found to be the main source mechanism for non-migrating tides at Gadanki. The significance of the present study lies in bringing out the important differences in tidal characteristics over equatorial and low latitude stations. Keywords: Migrating tides, Non-migrating tides, Rainfall, Convective clouds, Brightness temperature PACS Nos: 92.60.hh; 92.60.Nv; 92.60.jf 1 Introduction Atmospheric tidal oscillations are global scale oscillations with periods equal to the harmonics of one solar day. The absorption of solar radiation by water vapour in the troposphere and ozone in the stratosphere sets up a thermal forcing which sets the atmosphere in to oscillations with a period of integral fractions of a day1. These tides dictate the energetics and dynamics of the middle and upper atmosphere. The classical theory of tides by Chapman & Lindzen2 extensively reviews the characteristics of tides and they have shown that the general characteristics of tides in the upper atmosphere agree well with the theoretical predictions. The diurnal tides propagate vertically before saturation or dissipation in the mesosphere and lower thermosphere region. Tidal variability can be observed in many atmospheric parameters ranging from surface pressure3,4 to tropical convection5 to upper atmospheric winds6. Two modes of tides are generally observed in the atmosphere: (i) migrating tides which are sun synchronous with their phase propagating to the west traversing the globe in one solar day; and (ii) non-migrating which are non synchronous with the sun having zonal numbers different than one. Generally, non-migrating tides are generated due to the asymmetry in the distribution of water vapour and ozone. This asymmetry is caused by the distribution of continents and oceans as well as the local topography7-9. Nonmigrating tides may also be generated by latent heat release by convective clouds. The migrating components have high phase speed than the nonmigrating mode and hence, they are less susceptible to critical interactions with the background wind; and any seasonal variability observed in the lower stratosphere is due to critical wave filtering of nonmigrating components10. Extensive studies have been made in the past on diurnal and semi-diurnal tides in the mesosphere and lower thermosphere but only few studies were carried out in the troposphere using radiosondes, radars, models and satellites. Wallace & Tadd11 detected the distribution of diurnal tides and found significant regional deviations using 12 h radiosonde observations. McKenzie12 accounted the diurnal amplitudes below 30 km by simplifying the heat UMA et al.: MIGRATING AND NON-MIGRATING DIURNAL AND SEMI-DIURNAL TIDES sources in both latitude and longitude in the numerical model. Using gravity wave f-plane model, Forbes & Groves8 have found that the influence of nonmigrating components can change the tidal amplitudes in the lower thermospheric region by 15-20%. Tsuda & Kato9 developed a numerical model for diurnal non-migrating tides and found that the upward heat flux in the planetary boundary layer is the main source for non-migrating tides. Miyahara et al.13, using the Kyushu University general circulation model, found that the forcing for diurnal tide is due to global distribution of solar insolation heating, latent heating, convection heating and eddy conduction heating. Ekanayake et al.14 have made use of two dimensional steady state model and characterized the non-migrating tides both at low and high latitudes. The infra-red cloud brightness temperature was also used to study the tidal variability15-18. Tsuda et al.19,20 carried out intensive campaigns over the equatorial region with radiosonde and radar measurements to study the tidal oscillation on wind components in the lower and middle atmosphere. They found that the overall structure of the observed wind velocity agree well with the models above 20 km. The complicated structures and observed discrepancy in the wind velocity below 20 km is attributed to the effects of local topography. The tidal studies over China using radiosonde were found to be dominated by diurnal non-migrating components21. Using Arecibo radar, studies on diurnal and semi-diurnal winds in the lower stratosphere were carried out by Fukao et al.22. They found that the tidal periods show strong downward phase propagation and also their amplitudes of both diurnal and semi-diurnal winds were found to be larger than the values predicted by classical tidal theory. Whiteman & Bian23, using Doppler radars at three locations, found that the semi-diurnal tide in the boundary layer compared well with the model but above the tidal amplitudes were more than a factor of two compared with that of the model. Williams & Avery15 studied the diurnal winds in the tropical troposphere using network of wind profiles across the equatorial pacific. They found that the observations agree with the model winds off the equator than the observations near the equator. They attributed this to forcing caused by solar absorption of water vapour. Riggin et al.10 studied the seasonal structure of diurnal tides using VHF radar at Jicamarca. They found that 341 vertical wavelengths of about 10 km were found above the tropopause with standing wave structure below. Only limited studies have been made in the past over the observational site Gadanki (13.45°N and 79.18°E). Sasi et al.24 studied the diurnal tidal oscillations using Mesosphere Stratosphere Troposphere (MST) radar located at Gadanki. They found that the non-migrating modes are dominant over this region and they also found that the observed amplitudes of the non-migrating modes compared well with that of the model by Tsuda & Kato9. Sasi et al.25 have also simulated the amplitudes and phases of the diurnal tide using classical tidal theory by incorporating different sources and short wave solar radiation absorption by clouds. The above studies used wind data collected over a certain period, that is, during September-October 1995. Dutta et al.26 have also compared the tidal amplitudes and phases with the global scale wave model. However, these studies were limited to certain seasons of the year and there was no attempt to study the annual variation of tidal amplitudes. In order to characterize the tidal oscillations over this low latitude site, long term data accounting for the monthly variability is required. Thus, the main objective of the present study is to establish the monthly variability of both diurnal and semi-diurnal tides using four years of observations from Indian MST Radar (IMSTR) located at a low latitude station Gadanki (13.45°N, 79.18°E). The second objective is to compare the amplitudes and phases of both diurnal and semidiurnal tides at Gadanki with that of the equatorial station Kotatabang (0.2°S, 100.2°E), Indonesia, where the observations were utilized using Equatorial Atmosphere Radar (EAR). The observations of diurnal winds over the Indian region are compared with that of Kotatabang to better understand the differences and similarities in the low latitude and equatorial station diurnal tides, if any. 2 Data and System description The present analysis is based on measurements of diurnal winds made by two powerful VHF wind profilers, IMSTR and EAR, over four years (2002-2005) and one year (2003), respectively. Complete details of the IMSTR and EAR are given by Rao et al.27 and Fukao et al.28, respectively. The diurnal cycle (24 h) data collected with the IMSTR and EAR are used for the present study. However, the observation strategies are different at both locations. 342 INDIAN J RADIO & SPACE PHYS, OCTOBER 2013 At Gadanki, the radar was operated in diurnal cycle mode for typically two days in a month, while continuous measurements were available for more than 25 days per month in most of the months at Kotatabang. So, only one year of EAR data has been used to study the diurnal wind pattern as the available data proved to be sufficient to study such a pattern. Quality checks were made on the radar observations to eliminate the data associated with weak echoes. The quality controlled data have been used to construct hourly averages. The data utilized in the present study consists of 32 days (diurnal cycles) of IMSTR observations collected during January 2002-December 2005. During this period, the IMSTR has been operated with 16 µs pulse width and 1 µs baud length providing a range resolution of 150 m. The data have been recorded from 3.6 km to 30 km. However, useful returns were obtained only up to a height of ~20 km. The IMSTR main beam can be positioned anywhere in a 20° cone in two orthogonal directions (EW and NS) with 1° resolution. However, during the observational period, IMSTR has been operated with 6 beams (two in zenith and four in 10° off-zenith directions, E10, W10, Zx, Zy, N10, and S10) providing a temporal resolution of 2 minutes. Spurious data points have been removed from the analysis using the methodology given by Uma & Rao29. The noise level is found to vary with season from –17 and –19 dB with a 2σ (σ is standard deviation) level of 3 dB. The data is considered only when its corresponding signal-to-noise ratio (SNR) is greater than the above threshold. If there is a data gap of more than ~5 h in a 24 h time series, then the data corresponding to that height is discarded; and if the missing data points are less than 5 h, then the gaps are filled using cubic spline interpolation. Since the data collection procedures are different over both Gadanki and Kotatabang, around ~320 days of observations over EAR were available. Before estimation of winds from IMSTR, a thorough quality check has been done for the signal detectability. Data have been discarded if the SNR is less than -15 dB for IMSTR for the estimation of winds. Winds are estimated using adaptive and least square analysis method (details presented by Anandan et al.30). On the other hand, over EAR winds data, downloaded from www. rish.kyoto-u.ac.jp/ear/data/index.html, has been already quality controlled and the quality check of signal detectability is presented by Fukao et al.28. Figure 1 shows the height profiles of percentage of wind data after quality check used for the present study for both IMSTR and EAR for each month along with the mean profile. It is observed that for IMSTR, >90% of data has been used below 10 km, >50% data has been used between 12-16 km and above that >70% data is used. Similar pattern is observed over Kotatabang, however, the percentage of data utilized is found to vary for each month below 10 km. 3 Results and Discussion Figure 2(a) shows time-height cross sections of monthly averaged zonal winds from 3.6 to 20 km, with a vertical resolution of 150 m from January 2002 - December 2005. The diurnal data available in each hour have been averaged and considered as a representative of that hour. These hourly profiles are then averaged for all the days available in that particular month. It is seen from the figure that above 6 km, the winds are westerlies during the winter (December-February) and pre monsoon months (March-May). However, the magnitude of zonal winds decreases in pre-monsoon as compared to winter season. The maximum magnitude of the zonal winds during winter season (December-February) goes up to 15 ms-1. Below 6 km, generally, easterlies are observed in the winter, post monsoon (OctoberNovember) and pre monsoon (March-May) seasons. During monsoon season (June-September), the local weather is dominated by the Asian summer monsoon and hence, strong easterlies, popularly known as tropical easterly jet (TEJ), are clearly seen from the figure at a height of 12-17 km and the magnitude of these jet decreases during post monsoon season. During monsoon, the winds are westerlies below 4 km and are known as low level jet (LLJ). During the monsoon season, strong winds of nearly 35 ms-1, on an average, exist around 16 km height. The easterlies in the post monsoon season are relatively smaller in magnitude, with a maximum of 20 ms-1. Monsoon season is more prone for tropical convection and intense amount of latent heat is released during this season which forms the main source for generation of gravity waves and non-migrating tides. Figure 2(b) shows time-height cross sections of monthly averaged meridional winds from 3.6 to 20 km, with a vertical resolution of 150 m during January 2002-December 2005. Generally, above 7 km, the meridional winds are southerlies in the winter, pre monsoon, and post monsoon seasons, with UMA et al.: MIGRATING AND NON-MIGRATING DIURNAL AND SEMI-DIURNAL TIDES 343 Fig. 1 — Percentage of occurrence of the data base at: (a) Gadanki and (b) Kotatabang Fig. 2 — Monthly mean derived from MST radar measurements over Gadanki of: (a) zonal wind, (b) meridional wind, and (c) vertical wind 344 INDIAN J RADIO & SPACE PHYS, OCTOBER 2013 maximum magnitudes of 5 and 2 ms-1 in the monsoon and post monsoon seasons, respectively. Around 1213 km, a jet-like wind pattern with strong southerlies is seen during post monsoon, winter and pre monsoon with varying core thickness. The maximum magnitudes of 6–7 ms-1 is observed. The height of these jet-like winds is lower than that of the tropical easterlies in zonal winds. Figure 2c shows time-height cross sections of monthly averaged vertical winds from 3.6 to 20 km, with a vertical resolution of 150 m during January 2002 - December 2005. The positive and negative magnitudes represent upward and downward motion, respectively. Below 5 km, the vertical wind is downward during pre monsoon, monsoon and post monsoon seasons. During monsoon and post monsoon season, strong upward motion is seen in the upper troposphere. Earlier studies have shown similar observations in vertical velocities over Gadanki using 10 years of data29. In order to understand the diurnal and semi-diurnal tidal variability, the diurnal and semi-diurnal components are extracted using least square analysis. For each day, the diurnal and semi-diurnal amplitudes are determined from the hourly averaged diurnal data using least square fitting to the time series at each height levels. The reconstructed time height section of zonal, meridional and vertical wind for both semidiurnal and diurnal components are shown in Figs 3(a-f), respectively. The phase fronts of the wave can be easily identified from the figures. The downward (upward) phase propagation indicates the presence of an upward (downward) propagating tide. Figs 3(a-b) show the reconstructed signal for zonal semi-diurnal and diurnal tides. The amplitude is found to be 4-5 ms-1, and the figures clearly show the upward and downward phase propagation of tides. One interesting feature to be noted is that both the upward propagating tides from the troposphere and downward propagating tides from the stratosphere interact at the tropopause. However, the present interest is to study the amplitudes and phases of these propagating tides and their sources. Similar kind of Fig. 3 — Reconstructed height-time intensity map of: (a) zonal, (b) meridional, and (c) vertical winds, obtained using least square fitting during a typical day on 30-31 July 2005 UMA et al.: MIGRATING AND NON-MIGRATING DIURNAL AND SEMI-DIURNAL TIDES propagation can be seen in the meridional wind also [Figs 3(c-d)], but the amplitudes are relatively less than that of zonal wind. Figures 3(e-f) show the reconstructed signal for vertical wind and one can observe the magnitudes are an order of magnitude less than that of the zonal and meridional wind. The detailed study of the diurnal variability of vertical wind is studied by Uma & Rao29. They have observed the semi-diurnal component to be dominant in the middle/upper troposphere as well as in the lower stratosphere over the present observational site. Figure 4(a-b) shows the monthly variation of amplitude and phases of the diurnal tides in the zonal wind for all the months. The amplitudes show an increasing trend with height for all the months. In the upper troposphere and lower stratosphere (UTLS) (16-20 km), the amplitudes are high during June to September as compared to other months. The amplitudes ranged 4-6 ms-1 during the above months with maximum in the month of June. The amplitudes 345 are showing maxima near the tropopause. The secondary maximum is observed in the middle troposphere (8-12 km) during March and September. In the lower troposphere (4-5 km), amplitudes are relatively high during the months of April and May. The amplitudes reported here are comparable with the magnitudes obtained by Sasi et al.24 for a single day in the month of September. The corresponding phase profiles are given besides the amplitude for each month in Fig. 4. The height profile of phase shows large variations in all the months. The phase profile in the UTLS region remains constant with less variations. Semi-diurnal amplitudes and phases in the zonal wind are shown in Figs 4(c-d). The semi-diurnal amplitude shows similar variation as that of diurnal tidal amplitudes but their magnitudes are less compared to diurnal tides. The variability in the semi-diurnal tidal phase structure is more than the diurnal tide. Figure 5(a-b) shows the amplitude and phases of the diurnal tide in meridional winds for all the months Fig. 4 — Monthly height variation of: (a) amplitude and (b) phase, of diurnal tide in zonal wind; (c) amplitude and (d) phase, of semi-diurnal tides in zonal wind; over Gadanki 346 INDIAN J RADIO & SPACE PHYS, OCTOBER 2013 similar to Fig. 4. In the UTLS region, the amplitudes are high during June - September, with maximum in the month of June and minimum in the month of August. One interesting feature is that the amplitudes show dominance throughout the troposphere during the month of March, which is not observed in the zonal wind. In the lower troposphere, as similar to zonal wind, the amplitudes show maxima during March-May. During October-November, a peak is observed in the height region of 14-16 km. The amplitudes observed are relatively less compared to that of zonal diurnal tides in the UTLS region. The observed phase profiles exhibit irregular structures except in the UTLS region where propagation is observed. But one should note that if these irregular features are removed, the phase profiles appear to be constant as in the phase profile of zonal diurnal tides. Figures 5(c-d) show the amplitude and phase profiles of semi-diurnal component of meridional wind for all the months similar to Figs 4(c-d). The amplitudes show increasing trend with altitude for all the months as similar to zonal tide amplitudes. The amplitude shows maxima in the UTLS region during JuneSeptember. In the middle troposphere (8-12 km), the amplitudes are dominant from March-November, and in the lower troposphere (4-6 km), the amplitudes show similar pattern like zonal semi-diurnal tide. The phase profile remains almost constant with irregular structures throughout all the months, but propagation is observed in the UTLS region. Figures 6(a-d) show amplitudes and phases of the diurnal and semi-diurnal tides in the vertical wind. It is very interesting to note that during the month of June and July, the amplitudes show significant peak from middle troposphere and extend to lower stratosphere. This dominant amplitude is seen in the UTLS region during August and September. The amplitudes are, in general, an order of magnitude less Fig. 5 — Monthly height variation of: (a) amplitude and (b) phase, of diurnal tide in meridional wind; (c) amplitude and (d) phase, of semi-diurnal tides in meridional wind; over Gadanki UMA et al.: MIGRATING AND NON-MIGRATING DIURNAL AND SEMI-DIURNAL TIDES 347 Fig. 6 — Monthly height variation of: (a) amplitude and (b) phase, of diurnal tide in vertical wind; (c) amplitude and (d) phase, of semi-diurnal tides in vertical wind; over Gadanki than that of the zonal and meridional diurnal and semi-diurnal tide amplitudes. This is because the magnitude of the vertical wind is itself an order of magnitude less than that of zonal and meridional winds29. The phase profiles are almost constant during all the months except for the month of August, where some variability is seen in the lower troposphere. Using few days of data, Dutta et al.26 have shown the variation of diurnal, semi-diurnal and ter-diurnal tides in the zonal and meridional wind over Gadanki using MST radar and compared with the Global Scale Wave Model (GSWM). They have also observed similar phase structure in different seasons and have reported that no apparent variations of phases can be traced with seasons. The observed phases also found to be in excellent agreement with the modeled phases especially in the meridional wind. Now as a next step, the vertical wavelength is estimated from the phase profiles for both diurnal and semi-diurnal tides in zonal, meridional and vertical wind, respectively and a typical example is presented in Fig. 7. The vertical wavelength is estimated in the UTLS region where a clear amplitude enhancement is seen in the above mentioned region. Although, the phase propagation characteristics are not clearly seen in the lower troposphere, one can see a clear propagation in the UTLS region from the typical example shown in Fig. 7. The vertical wavelength from this example is found to be ~3 km for both diurnal and semi-diurnal tides in the zonal, meridional and vertical winds. Generally, as mentioned above, in the earlier studies, the presence of tides are more clearly observed above the troposphere as convective motions, waves from different sources dominate the lower troposphere. Riggin et al.10 have also mentioned that the diurnal tide observed to be propagated above the tropopause, as below this height the dominant motion were convective motions that exhibited little phase 348 INDIAN J RADIO & SPACE PHYS, OCTOBER 2013 Fig. 7 — Phase profile for: (a) zonal, meridional and vertical semi-diurnal tide; and (b) zonal, meridional and vertical diurnal tide progression with time. Over Gadanki, the tropopause is situated around ~16 km (Ref. 31), and in the present study the phase propagation above the tropopause is observed. Liberman & Leovy32 investigated the response of the middle atmosphere to longitudinally dependent radiative, sensible and latent heat profiles. They found that the tides generated from sensible heat have higher amplitudes in the lower atmosphere as compared to the middle atmosphere. But on the other hand, they found that the tides triggered from solar heating and latent heat release contribute less in the troposphere. Williams & Avery15 have also found that diurnally migrating precipitating clouds generate non-migrating modes whose presence is more observed in the mesosphere where they deposit enormous momentum. The vertical wavelength calculated for all the days during June - September in the present study varied ~3-5 km in the zonal, meridional and vertical wind. The observed amplitudes in the UTLS region are about 3-4 ms-1. Tsuda & Kato9 showed through numerical model that non-migrating components in the horizontal winds in the UTLS region are characterized by short vertical wavelengths (2-5 km) and fluctuating amplitudes with height (1-3 ms-1). Observations made by VHF radars have clearly shown the presence of large amplitude and short vertical wavelength non-migrating tidal oscillations in the lower stratosphere22,33. From the above results, one can observe that diurnal and semi-diurnal tides are prominent in the UTLS region during June-August. In addition to it, their presence is also felt in the lower troposphere during March as well as in September, but their amplitudes are less compared to the UTLS region. At UMA et al.: MIGRATING AND NON-MIGRATING DIURNAL AND SEMI-DIURNAL TIDES first sight, it gives an impression that the non-migrating tides are dominant over this region (Gadanki), as they are observed during the monsoon season. The amplitudes of migrating tides, generally, show maxima in the equinoctial period (March and September)34. During June-September, the Indian region is dominated by the monsoon convection activity29,35 and hence as a resultant, large amount of latent heat is released, which is the main source for non-migrating tides. Sasi et al.25 have compared the amplitudes and phases of diurnal tides over Gadanki with the theoretical model of Forbes & Gorves8 and observed that these tidal oscillations are manifestation of non-migrating modes of diurnal oscillations. Dutta et al.26 have compared the diurnal, semi-diurnal and ter-diurnal tidal oscillations with GSWM over Gadanki and observed that during June-August (convective season), the observed amplitudes are found to be much larger than the model indicating that the non-migrating modes are dominant over this study region. Sasi et al.24 and Jani et al.36 have also observed similar amplitudes and vertical wavelengths over Gadanki. The vertical wavelengths inferred from amplitudes and phases varied 3-9 km in a study by Dutta et al.26 over the present observational site. All the above studies have attributed that the observed characteristics of tidal activity over Gadanki are that of non-migrating tides and they have concluded that the latent heat release by deep convective clouds have short vertical wavelength and large amplitudes. So, the present results very well agree with the previous studies over this location, which clearly indicates that there is dominance of non-migrating tides in the UTLS region during monsoon season. But the earlier studies were for a limited period and the present study spans over four years, as long term observations are very much essential to have a meaningful understanding of the tidal variability. For example, the presence of migrating tides could be seen in the present study over Gadanki, which could be evidenced from the enhanced amplitudes (secondary maxima) during March and September in 8-12 km altitude. But the amplitudes are less compared to that observed during June-August. An attempt is made to calculate the vertical wavelength during March and September (figures not shown). The phase profiles were highly variable and the vertical wavelengths varied in the range 12-18 km in the UTLS region. The range of vertical wavelengths observed during March and September indicates that they might be generated 349 by solar short wave heating of water vapour/clouds. This has to be investigated in detail and will be taken up in near future. The above analysis indicates that non-migrating tides are dominant over this low latitude site during June-August. Also, the variation of tidal activity over an equatorial station, Kotatabang is studied to delineate differences/similarities with that of Gadanki, if any. The observational altitude over Kotatabang using EAR is from 2 km to 19.05 km. The same exercise is repeated by extracting the diurnal and semi-diurnal oscillations using least square analysis in the zonal, meridional and vertical wind. Figure 8(a-d) shows the monthly variation of amplitude and phases of the diurnal tides for zonal diurnal tide for all the months. One can observe from the figure that the diurnal and semi-diurnal oscillations are having maximum amplitude during March and September in the middle troposphere and in the UTLS region, which is in contrast to Gadanki where the dominance is observed during June-August. The amplitudes are in the range of 5-6 ms-1 and it is slightly greater than that observed over Gadanki. Figure 9(a-d) shows the monthly variation of amplitude and phase of the diurnal and semi-diurnal tide in the meridional wind. The features observed are similar to zonal wind but during the month of March, the amplitude maxima is observed throughout the depth of the troposphere. Figure 10(a-d) shows diurnal and semi-diurnal amplitudes in the vertical wind. The dominant amplitude is seen only in the month of March in the middle troposphere, unlike zonal and meridional winds, where it is observed in September also. The phase profiles given besides the amplitudes of the diurnal and semi-diurnal tide in zonal, meridional and vertical wind, respectively do not show much irregular structure at Gadanki and they remain constant throughout the observational altitude in a month. The vertical wavelength calculated from the phase profiles varied ~25-30 km. The wavelength, that is observed, is consistent with that of the migrating diurnal component8. Similar constant phase structure is also observed during the coupling process in the equatorial atmosphere (CPEA) campaign using radiosondes over Indonesia36. Forbes et al.16 have shown that large vertical wavelengths are generally excited by the migrating mode (1,1) and higher order propagating modes have much shorter vertical wavelengths and hence, are severely damped by the turbulent dissipation. The above studies indicate 350 INDIAN J RADIO & SPACE PHYS, OCTOBER 2013 Fig. 8 — Monthly height variation of: (a) amplitude and (b) phase of diurnal tide in zonal wind; (c) amplitude and (d) phase of semi-diurnal tide in zonal wind; over Kotatabang Fig. 9 — Monthly height variation of: (a) amplitude and (b) phase of diurnal tide in meridional wind; (c) amplitude and (d) phase of semi-diurnal tide in meridional wind; over Kotatabang UMA et al.: MIGRATING AND NON-MIGRATING DIURNAL AND SEMI-DIURNAL TIDES 351 Fig. 10 — Monthly height variation of: (a) amplitude and (b) phase of diurnal tide in vertical wind; (c) amplitude and (d) phase of semi-diurnal tide in vertical wind; over Kotatabang that the tidal structures observed over Kotatabang must be that of the migrating mode as they peak during the equinoctial months and the observed vertical wavelengths are large compared to the non-migrating modes. From the above results, it gives an indication that non-migrating tides are dominant over Gadanki and migrating tides over Kotatabang. Earlier studies clearly indicate that heating due to water vapour and ozone gives rise to migrating tidal modes and latent heat release due to convection gives rise to nonmigrating tidal modes. Generally, precipitation can be used as a proxy for latent heat release as it involves phase transformation of water vapour. Hence, the rainfall measurements are used by surface optical rain gauge (ORG) over Gadanki and Kotatabang. ORG over Gadanki provides high resolution (1 minute) rainfall rate data with good accuracy (95% on accumulation data). The continuous measurements of ORG are available from 1999 over Gadanki and rain rate is obtained over Kotatabang during the CPEA campaign during 2002-2006. The monthly accumulated rain rate is calculated during 2002-2005 and is shown in Fig. 11(a and b) for Gadanki and Kotatabang, respectively along with their mean and standard deviation. It is clearly observed from the figure that during June-September, which is generally the monsoon season over India, the accumulated rain rate is maximum compared to the other months over Gadanki. During the year 2002, the rainfall was less as it was a drought over the Indian region and hence, the mean value is slightly shifted to lower value. The mean rain rate has been shifted toward maximum value in the month of October during the year 2005, which is due to intense cyclonic activity during that period38. But on an average, the rain rate is maximum during June-September and one can expect that release of latent heat will also be more during these months. This may be the plausible reason for the dominance of non-migrating modes in the UTLS region over Gadanki. On the other hand, the rainfall pattern over Kotatabang [Fig. 11(b)] clearly exhibits that it rains throughout the year over this region. There is little variation in the observed rainfall with 352 INDIAN J RADIO & SPACE PHYS, OCTOBER 2013 water vapour to water (latent heat of condensation), whereas in deep clouds (cold clouds), phase transformation of water to ice (latent heat of freezing) is also involved, thus releasing large latent heat. Fig. 11 —Monthly mean of accumulated rain rate during 2002-2005 along with mean and standard deviation for: (a) Gadanki, and (b) Kotatabang respect to months, but the variability seems to be not significant. So, from the rainfall pattern, one can expect that the non-migrating modes are dominant over this region throughout the year, which is not the case as one can observe from Figs (8-10) where the maximum tidal activity is seen only during March and September. Even though the rainfall, an indicator of convection, was observed throughout the year over Kotatabang, surprisingly one could not observe nonmigrating tides in the UTLS region, which raises a question that whether this rainfall is caused by deep convective clouds or shallow convective clouds. On an average, deep and shallow convective clouds have vertical extent of 10-12 km and 3-4 km, respectively. The vertical extent of the cloud is very important in estimating the latent heat release. Shallow clouds (warm clouds) involve only phase transformation of The next attempt has been to identify whether clouds formed over Gadanki and Kotatabang are deep or shallow convective clouds. To explore this, the cloud top brightness temperature (Tbb) is processed, which is the intensity of the radiation emitted by a black body and sensed by radiometers. The data used for the present study is derived from the infrared channels (IR1) of the Geostationary Meteorological Satellite (GMS5 and GMS6) and Geostationary Operational Environmental Satellite (GOES 9) (Ref. 39). The three hourly data during 2003-2005 is used, which have a high resolution of 0.05°×0.05° to represent the extent of clouds over Gadanki and Indonesia. Methods to identify tropical deep convective clouds using infrared measurements are generally based on thresholds of cloud top temperatures, which have been defined with different values. Mapes & Houze40 and Zeudima41 have classified deep convective clouds when Tbb is less than 235 K. The clouds with cloud top temperatures below 240 K include deep high-top precipitating cloud, anvil with stratiform precipitating cloud and deep convective precipitating cloud. So, the same criteria is followed to define the convective clouds over both the study regions and the monthly variability of Tbb is given in Fig. 12(a) for Gadanki and Fig. 12(b) for Kotatabang. The figure shows mean Tbb profile for 2002-2005 (thick) along with standard deviations. Over Gadanki during DecemberMarch, Tbb is very high ~280 K and during April-May, it varies around ~250-270 K. During monsoon (June-August), the Tbb is less than 240 K. During September, the value of Tbb is 242 K just above the threshold. During October-November, it varied from ~250 to 260 K. So from this figure, it is clearly evident that during June–September, deep convective clouds prevail over Gadanki, which releases large amount of latent heat, thereby, triggering the non-migrating tidal modes over this location. On the other hand, over Kotatabang, the value of Tbb is always greater than 260 K. During January-April, it varies from ~275 to 280 K and from May-December, the variability is very less and it is around 263 K. This clearly reveals that the rainfall over Kotatabang is mostly due to the shallow convective clouds and so the possibility of source UMA et al.: MIGRATING AND NON-MIGRATING DIURNAL AND SEMI-DIURNAL TIDES 353 analysis for extracting diurnal and semi-diurnal amplitudes and phases. The amplitudes were dominant in the UTLS region over Gadanki during June-September, whereas over Kotatabang, it was during March and September. The phase profiles revealed a vertical wavelength of ~3-4 km over Gadanki during large tidal amplitudes (JuneSeptember) and ~25-30 km over Kotatabang. Further, the brightness temperature analysis over these locations revealed that deep clouds dominated during the monsoon season over Gadanki, whereas over Kotatabang most of the time shallow clouds were observed. The analysis showed that maximum rainfall occurred during June-September over Gadanki, whereas uniform rainfall was observed throughout the year over Kotatabang. The present results revealed that non-migrating tides are dominant over Gadanki and migrating tides are dominant over Kotatabang. The presence of deep convective clouds over Gadanki is found to be the main reason for the dominance of non-migrating tides. Even though, the rainfall persists throughout the year over Kotatabang, the migrating mode is found dominant over Kotatabang. This is attributed to the shallow convection taking place over this region, which are less efficient in releasing latent heat as compared to deep convection. Thus, the present observations revealed the tidal characteristics over two geographical locations within the tropics, which will have implications on modeling of tides and their variability. Fig. 12 — Monthly mean of brightness temperature during 2003-2005 along with standard deviation for: (a) Gadanki, and (b) Kotatabang (latent heat) triggering the non-migrating tidal modes is expected to be lesser compared to Gadanki. The presence of shallow convective clouds may be one of the plausible reasons for the absence of non-migrating modes; thereby, the dominance of migrating components is observed over Kotatabang. The present study, thus, clearly reveals the variability of tidal characteristics over low latitude and equator, which further needs to be substantiated with global hourly observations of geophysical parameters, which will be the next exploration on tides. Acknowledgement The Gadanki VHF radar belongs to National Atmospheric Research Laboratory (NARL), under Department of Space, Government of India. The authors would like to thank NARL Director and technical staff for their support in conducting the radar experiments. The authors thank Dr M V Ratnam and Dr Y Shibagaki for providing high resolution brightness temperature datasets. They also thank Equatorial Atmosphere Radar (EAR) scientists and engineers for providing the radar data over Kotatabang. References 4 Conclusions VHF radar observations have been utilized to study the diurnal and semi-diurnal tides over Gadanki and Kotatabang. The VHF radar measured hourly winds over both these locations are subjected to least square 1 2 3 Lindzen R S, Thermally driven diurnal tide in the atmosphere, Q J R Meteorol Soc (UK), 93 (1967) pp 18-42. Chapman S & Lindzen R S, Atmospheric tides (D Reidel, Norwell, Mass), 1970. Haurwitz B & Cowley A D, The diurnal and semi-diurnal barometric oscillations: Global distribution and annual 354 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 INDIAN J RADIO & SPACE PHYS, OCTOBER 2013 variation, Pure Appl Geophys (Switzerland), 103 (1973) pp 193-222. Hamilton K, Latent heat release as a possible forcing mechanism for atmospheric tides, Mon Weather Rev (USA), 109 (1981) pp 3-17. Salby M L, Hendon H H, Woodberry K W & Tanaka K, Analysis of global cloud imagery from multiple satellites, Mon Weather Rev (USA), 72 (1991) pp 467-480. Mason A H, Meek C E, Teitelbaum H, Vail F, Schminder R, Kurschner D, Smith G D, Fraser G J & Clark R R, Climatologies of semi-diurnal and diurnal tides in the middle atmosphere (70-110 km) at middle latitudes (40-55o), J Atmos Terr Phys (UK), 51 (1989) pp 579-593. Kato S, Tsuda T & Wantanabe F, Thermal excitation of non-migrating tides, J Atmos Terr Phys (UK), 44 (1982) pp 131-146. Forbes J M & Groves G V, Diurnal propagating tides in the low latitude middle atmosphere, J Atmos Terr Phys (UK), 49 (1987) pp 153-164. Tsuda T & Kato S, Diurnal non-migrating tides excited by a differential heating due to land-sea distribution, J Meteorol Soc Jpn (Japan), 67 (1989) pp 43-54. Riggin D M, Kudeki E, Feng Z, Sarango M F & Liberman R S, Jicamarca radar observations of the diurnal and semi-diurnal tide in the troposphere and lower stratosphere, J Geophys Res (USA), 107 (D8) (2002) 4062, doi: 10.1029/2001JD001216. Wallace J M & Tadd R F, Some further results concerning the vertical structure of atmospheric tidal motions within the lowest 30 kilometers, Mon Weather Rev (USA), 102 (1974) pp 795-803. Mc Kenzie, The diurnal atmospheric tide with Newtonian cooling and longitudinally dependent drices, Ph D thesis, University of Washington, Seattle, 1968, 139. Miyahara S, Yoshida Y & Miyoshi Y, Dynamical coupling between the lower atmosphere by tides and gravity waves, J Atmos Terr Phys (UK), 55 (1993) pp 1039-1053. Ekanayake E M P, Aso T & Miyahara S, Background wind effect on propagation of non-migrating tides in the middle atmosphere, J Atmos Sol-Terr Phys (UK), 59 (1997) pp 401-429. Williams C R & Avery S K, Diurnal non-migrating tidal oscillations forced by deep convective clouds, J Geophys Res (USA), 101 (1996) pp 4079-4091. Forbes J M, Hagan M E, Zhang X & Hamilton K, Upper atmospheric tidal oscillations due to latent heat release in the tropical troposphere, Ann Geophys (France), 15 (1997) pp 1165-175. Hagan M E & Forbes J M, Migrating and non-migrating diurnal tides in the middle and upper atmosphere excited by tropospheric latent heat release, J Geophys Res (USA), 107 (D24) (2002) 4754, doi: 10.1029/2001JD001236. Lieberman R S, Ortland D A & Yarosh E S, Climatology and inter annual variability of diurnal water vapor heating, J Geophys Res (USA), 108 (D3) (2003) 4123, doi: 10.1029/2002JD002308. Tsuda T, Murayama Y, Wiryosumarto H, Harijono S W B & Kato S, Radiosonde observations of equatorial atmosphere dynamics over Indonesia Pt 1: Equatorial waves and diurnal tides, J Geophys Res (USA0, 99 (1994) pp 10,491-10,505. 20 Tsuda T, Nakamura T, Shimizhu A, Yoshino T, Harijono S W B, Sribimawati T & Wiryosumarto H, Observations of diurnal oscillations with a meteor wind radar and radiosondes in Indonesia, J Geophys Res (USA), 102 (D22) (1997) pp 26,217-26,224. 21 Huang C M, Zhang S D & Yi F, Intensive radiosonde observations of the diurnal tide and planetary waves in the lower atmosphere over Yichang (111°180'E, 30°42'N), China, Ann Geophys (Germany), 27 (2009) pp 1079-1095. 22 Fukao S, Kato S, Yokoi S, Harper R M, Woodman R F & Gordon W E, One full-day radar measurement of lower stratospheric winds over Jicamarca, J Atmos Terr Phys (UK), 40 (1978) pp 1331-1337. 23 Whiteman C D & Bian X, Radar wind profiler observations of solar semi diurnal atmospheric tides, Geophys Res Lett (USA), 22 (1995) pp 901-904. 24 Sasi M N, Ramkumar G & Deepa V, Non-migrating diurnal tides in the troposphere and lower stratosphere over Gadanki (13.5°N, 79.2°E), J Geophys Res (USA), 103 (1998) pp 19,485-19,494. 25 Sasi M N, Ramkumar G & Deepa V, Tidal wind oscillations in the tropical lower atmosphere as observed by Indian MST radar, Ann Geophys (Germany), 19 (2001) pp 991-999. 26 Dutta G, Bapiraju B, Balasubrahmanyam P, Aleem Siddique M A & Aleem Basha H, Seasonal variation of solar tides in the troposphere and lower stratosphere over Gadnki: Comparisons with the global scale wave model, Radio Sci (USA), 37 (2002), doi: 10.1029/2000RS002571. 27 Rao P B, Jain A R, Kishore P, Balamuralidhar P, Damle S H & Viswanathan G, Indian MST radar Pt 1: System description and sample vector wind measurements in ST mode, Radio Sci (USA), 30 (1995) pp 1125-1138. 28 Fukao S, Hashiguchi H, Yamamoto M, Tsuda T, Nakamura T, Yamamoto M K, Sato T, Hagio M & Yabugaki Y, Equatorial Atmosphere Radar (EAR): System description and first results, Radio Sci (USA), 38 (3) (2003) 1053, doi: 10.1029/2002RS002767. 29 Uma K N & Rao T N, Diurnal variation in vertical air motion over a tropical station, Gadanki (13.5°N, 79.2°E), and its effect on the estimation of mean vertical air motion, J Geophys Res (USA), 114 (2009) D20106, doi: 10.1029/2009JD012560, 2009. 30 Anandan V K, Balamuralidhar P, Rao P B, Jain A R & Pan C J, An adaptive moments estimation technique applied to MST radar echoes, J Atmos Ocean Technol (USA), 22 (2005) pp 396-408. 31 Das S S, Jain A R, Kumar K K & Rao D N, Diurnal variability of the tropical tropopause: Significance of MST radar measurements, Radio Sci (USA), 43 (2008) RS6003, doi: 10.1029/2008RS003824. 32 Lieberman R S & Leovy C B, A numerical model of nonmigrating diurnal tides between the surface and 65 km, J Atmos Sci (USA), 52 (1995) pp 389-409. 33 Maekawa Y, Fukao S, HirotaI, Sulzer M P & Kato S, Some further results on long term mesospheric and lower thermospheric wind observations by the Arecibo UHF radar, J Atmos Terr Phys (UK), 49 (1987) pp 63-71. 34 Forbes J M & Garrett H B, Theoretical studies of atmospheric tides, Rev Geophys Space Phys (USA), 17 (1979) pp 1951-1981. UMA et al.: MIGRATING AND NON-MIGRATING DIURNAL AND SEMI-DIURNAL TIDES 35 Kumar K K, Jain A R & Rao D N, VHF/UHF radar observations of tropical mesoscale convective systems over southern India, Ann Geophys (Germany), 23 (2005) pp 1673-1683. 36 Jani Y N, Joshi H P & Iyer K N, Seasonal differences of nonmigrating tides in the troposphere and lower stratosphere over Gadanki (13.5°N, 79.2°E), Indian J Radio Space Phys, 29 (2000) pp 210-221. 37 Alexander S P & Tsuda T, Observations of the diurnal tide during seven intensive radiosonde campaigns in Australia and Indonesia, J Geophys Res (USA), 113 (2008), doi: 10.1029/2007JD008717. 38 Das S S, Patra A K & Rao D N, VHF radar echoes in the vicinity of tropopause during the passage of tropical 355 cyclone: First observations from the Gadanki MST radar, J Geophys Res (USA), 113 (2008) D09113, doi: 10.1029/2007JD009014. 39 Miyakawa T & Satomura T, Seasonal variation and environmental properties of southward propagating mesoscale convective systems over the Bay of Bengal, Sci Online Lett Atmos (Japan), 2 (2006) pp 088-091, doi: 10.2151/sola.2006-023. 40 Mapes B E & Houze Jr R A, Cloud clusters and super clusters over the oceanic warm pool, Mon Weather Rev (USA), 121 (1993) pp 1398-1415. 41 Zuidema P, Convective clouds over the Bay of Bengal, Mon Weather Rev (USA), 131 (2003) pp 780-798.
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