e-Gnosis E-ISSN: 1665-5745 [email protected] Universidad de Guadalajara México Salas Pérez, José de Jesús; Cupul Magaña, Amilcar Preliminary temporal and spatial patterns of Bahía de Banderas (México) marine circulation, derived from satellite and in-situ measurements e-Gnosis, núm. 3, 2005, p. 0 Universidad de Guadalajara Guadalajara, México Available in: http://www.redalyc.org/articulo.oa?id=73000303 How to cite Complete issue Scientific Information System More information about this article Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Journal's homepage in redalyc.org Non-profit academic project, developed under the open access initiative ©2005,e-Gnosis[online],Vol.3,Art.3 Preliminary temporal and spatial… Salas P. J. et al. PRELIMINARY TEMPORAL AND SPATIAL PATTERNS OF BAHÍA DE BANDERAS (MÉXICO) MARINE CIRCULATION, DERIVED FROM SATELLITE AND IN-SITU MEASUREMENTS CARACTERÍSTICASTEMPORALES YESPACIALESPRELIMINARESDELACIRCULACIÓN MARINADELABAHÍADEBANDERAS, MÉXICO, OBTENIDASPORSATÉLITEY - MEDICIONESIN SITU JosédeJesúsSalasPérez1, Amilcar CupulMagaña2 [email protected] /[email protected] Recibido:junio24,2004/Aceptado:febrero21,2005/Publicado:abril15,2005 ABSTRACT.Spatial and temporalsurfacemarinecirculation patterns in BahíadeBanderas were inferred employing wind speed, seasurfacetemperature(AdvancedVeryHighResolutionRadiometer,andthermograph),sealeveltime-series,andascendingand descending tracks of thealtimeter radar ERS-2.Theperiod of thesedatasetcovered ~4 years,beginning in thesummer of 1997 and ending in the winter of 2002. Tides in the bay are mixed (F=0.25) with predominance of the M2 harmonic. The bay not showedfeaturesofresonancewith theopen-seatide.Meanamplitudesof30cmresultedintidalvelocitiesoflessthanfewcm/s. Lower frequencies (periods larger than ~3 days) seem to be the main generators of marine circulation in this area, with the predominance of seasonal signals over others. EOF methodology was applied to velocity components computed from altimeter observationsmeasuredattheBay’smouth,showingtomainpatterns.Thefirstpatternoccurredfrom~Februaryto~July,showing an inflow at the northern/southern portion of the Bay with an outflow at its mouth (anticyclonic pattern). The other pattern extendedfrom~Augustto~December,withoppositecharacteristics(cyclonicpattern).Thosecirculationpatternsarehypothetical untilvelocityin-situobservationsprovideevidenceforconfirmation. KEYWORDS.Oceanography,MexicanPacificOcean,timeseries,EOFmethodology RESUMEN.Ladistribución espacialy temporaldelacirculación superficialdelaBahíadeBanderas seobtuvo con elempleo de series temporales de rapidez de viento, temperatura superficial del mar (AVHR radiómetro y un termógrafo), nivel del mar y trazas ascendentes y descendentes del radar altimétrico ERS-2. El período que abarca dichos datos es de cuatro años, ya que comenzó en el verano de 1997 y finalizó en el invierno de 2002. La marea en la Bahía es mixta (F=0.25) con predominio del armónico M2.Labahíanomuestracaracterísticas deresonanciacon lamareadelmar abierto.Amplitudespromediode 30cms., resultan en corrientes demareadepocos cms./s. Las bajas frecuencias (periodos mayores a tres días) parecen ser los principales generadoresdelacirculaciónmarinaenestaárea,enlaquepredominaelperiodoestacionalsobrelosotrosperiodos.FEOsfueron aplicadas alas componentes develocidad,calculadas con observaciones dealtimetría medidas en labocadelaBahía,las cuales mostraron dos principales distribuciones espaciales.Elprimer periodo dedistribución,queseextendió desdefebrero hasta julio, muestraunflujodeentradaporlaporciónnorte/surdelabahía,conunflujodesalidaporsuboca(distribuciónanticiclónica).El segundoperiodoseextiendedesdeagostohastadiciembrey esopuestoalprimero(distribuciónciclónica).Las característicasde lacirculaciónaquípresentadassonhipotéticasyobservacionesdevelocidadmedidasin-situdebenconfirmarlas. PALABRASCLAVE.Oceanografía,OceanoPacificoMexicano,seriesdetiempo,FEO. 1 UniversidadVeracruzana,CentrodeEcologíayPesquerías,LomasdelEstadio,Xalapa,Veracruz,91090,México-www.uv.mx/ 2 UniversidaddeGuadalajara,CentroUniversitariodelaCosta,AvenidaUniversidaddeGuadalajara203,PuertoVallarta, Jalisco,48280,México-vallarta.cuc.udg.mx ISSN:1665-5745 -1/29- www.e-gnosis.udg.mx/vol3/art3 ©2005,e-Gnosis[online],Vol.3,Art.3 Preliminary temporal and spatial… Salas P. J. et al. Figure 1. Bahía de Banderas location, and its bathymetric distribution taken from GEBCO atlas. The bathymetric contours depicted in the map are distributed at 0, 100, 200, 500, 1000, and 2000 m of depth. Ascending (southwest-northeast) and descending (northwest-southeast) tracks of the ERS-2 radar altimeter, together with those observations satellite-tracks of the AVHRR are marked with an asterisk. The thermograph location is indicated with a circle, the location of the gauge station at Pto. Vallarta, Jalisco, with asquare, andthewindgridpoint wasindicated with letterx. Introduction The Bahía de Banderas is located at the northwestern portion of the Mexican Pacific coast, between the M exican states of Jalisco and Nayarit (Figure 1). This Bay constitutes the basis of the economic develop ment of thearea, through commercial and recreational fishing, sailing, and tourism. Consequently, theknowledge of its oceanographic features is an imp ortant element to be investigated in order to conduct a responsible exploitation of its natural resources. Marine circulation is one basic oceanographic feature to be considered in any oceanicregion because it controls thebasic dynamicsprocessesof the biogeochemical p arametersat sea. At present, the marine circulation of Bahía de Banderas stills completely unknown due to the lack of a program of study with oceanographic tools (CTD, classical current-meters, ADCP, etc.) that allow in-situ experimentation. However, there are sparse observations such as tide heights recorded from a gauge station situated at the Bays head, some moored thermographs, and several satellite sensors (Figure 1), i.e., radars altimeters [1] and the Advanced Very High Resolution Radiometer (AVHRR), which tracks conditions at the mouth and inside of the Bay, respectively. These observations allow us to infer, in a indirect way , temporal-spatial patterns of the sea surface circulation, despite the limitations imposed by the sampling interval and locationof each data. The marine circulation inside Bahía de Banderas must resemble that of the M exican Pacific Ocean, configured by tides,mesoscalecirculation, windsand large-scalecurrent fluctuations[2-11], butit also must be a function of its geometric (coastline and bottom floor) features. The Bay has a semicircular geometric shape with an open communication with the Mexican Pacific Ocean at its mouth (Figure1). The M arietas ISSN:1665-5745 -2/29- www.e-gnosis.udg.mx/vol3/art3 ©2005,e-Gnosis[online],Vol.3,Art.3 Preliminarytemporalandspatial…SalasP.J.et al. Islands are located in the northern portion of the Bay, (~105.6W°-20.7°N). Their p osition in relation to the coastal zone forms a shallow (~80 m) and a narrow (~6.5 km) channel, short in length (~ less than 10 km inside to the Bay). It is uncertain whether or not this channel plays a significant role in regulatingthe water exchangebetween theopen-seaand thenorthernportion oftheBay. The Bay’s major axis (~75 km) runs from the eastern coast toward open-sea, situated to the west. In contrast, its minor axis (~40 km) measured at the Bay’s mouth, runs from south to north and it is characterized by marked top ographicirregularitiesof ~10 km, locally named Cabo Corrientes, andPuntaM ita (Figure 1). The bathymetry from the coast to open-sea distributes accordingly with its boundary shape. The Northeast the Continental Shelf is shallower ~100 m and wider ~20 km than the Southwest continental shelf ~12 km and less than 10 km, a difference introduced by a submarine canyon of ~15 km width at its head, and ~30 km at the Baysmouth, and ~60 km of length. Thiscanyon extendsfrom thecoast (with arim depth of about 100 m) to op en-sea (with a maximum dep th of about 800 m) (Figure 1). The mean depth insidethebay isabout 300m. From the Bay’s geometry it is expected that surface marine circulation paths inside it steer to flow around their boundary and under the canyon bathymetric contour, probably under the Coriolis parameter f. That assumption must be tested in terms of the external Rde=sqrt (g H)/f and the internal radius of deformation Rdi=NH/f (whereN representstheBrünt Väisalafrequency and H represented depth [12]. Theearthrotation must steer the surface flow around the boundary contour of the Bay , it is if the width size of the Bay (Wb) >> Rde [12]. Below the surface, i.e. at the canyon rim depth, the earth rotation could have effect on the current, if the width size of the canyon (Wc) relative to the internal radius of deformation is Wc>>Rdi [13- 14] . Following a former study, the objective of this is to combine several types of in-situ and remote sensing measurements, to identify the most energetic frequency components of the marine circulation, and their main fluctuation periods as well as preliminary depict the marine circulation diagrams of Bahía de Banderas. 1. Data set and methodology During the period from September of 1997 to Sep tember of 2001, Corrected Sea Surface Height (CSSH) measurements collected with the radar altimeter ERS-2 [1] were analyzed to infer some patterns of the marine circulation in Bahía de Banderas. Due to its temporal coverage (35 days) ERS-CSSH observations resolve a periodical signal of 70 days with a spatial coverage of 160 km [15]. Therefore, these observations are frequently used to study mesoscale signals of marine circulation [15]. Large-scale circulation is frequently study with observations taken with the precise (rms 2 cm) radar altimeter Topex/Poseidon. However, in thisstudy wecan not show information derived from that altimeter radar becausetherewereno tracksnear theBahíadeBanderas’ mouth. The ERS altimeter data used in this study completed the processes of quality control, validation and corrections, of instrumental errors, environment p arameters and high frequency signals (waves, tides, among others) to generate CSSH observations [1]. The high accuracy of the Top ex/Poseidon radar orbits areused as areference level to correct the ERS orbitswith an accuracy of 2-3 cm rms[16]. TheERS-2 data set wasmeasured during ElNiño event of 1997-1998 and LaNiñaevent of 1998-2001. So, during these p eriods, the marine circulation dynamics of this area was influenced by such inter-annual events[10]. ISSN:1665-5745 -3/29- www.e-gnosis.udg.mx/vol3/art3 ©2005,e-Gnosis[online],Vol.3,Art.3 Preliminary temporal and spatial… Salas P. J. et al. The analysis made use the ascending (southwest-northeast) and descending (northwest-southeast) tracks described by the radar altimeter around the area. Unfortunately, there are no tracks of the radar altimeter p assing just inside the Bay, thus we could not study directly the spatial distribution of its low-frequency circulation. Only two trackswerefound near to theBay’smouth (Figure1).Thosetrackswereisolated from the complete orbit described by the satellite around the Pacific Ocean. Sea Level Anomalies (SLA) were computed with the so-called rep eat track method [1]. For a given track the sea level is computed by removing the mean profile over several cycles [15], which contains the geoid and the mean dynamic topograp hy(not explicitlyrepresented in thenextequation): SLAi=CSSHi-<CSSH> (1) where i=1, 2, º, n, denote instantaneous CSSH observations along the track (ascending/descending), and <CSSH> is the mean sea surface computed from several cycles. However, this kind of estimation removes the signal associated with a permanent current, and thus eddies features only remains in the SLA data. Therefore we perform the estimation, employing the MSSH of the reference ellipsoid at along the position i of the track in order to preserve slopes in sea level data, associated with a p ermanent current, i.e. the large scale current of the area, which also preserve the gravity signal (marine geoid). Then SLA observations were filtered with a running-mean low pass filter of 3 p oints. Then, from (1),thevelocitycomponentsalong thesatellitetrack werecomputed using thegeostrophicrelation, it is: Vi=±g/f (cid:1)SLAi/(cid:1)yi (2) whereg isthegravity, and y isthedistanceestimated along thesatellite-tracks[12]. Each isolated ascending or descendingtrack, is composed of ~12-13 points per day with a sampling interval of ~1 second (~7 km), as usual. The descending track was measured in the morning, about UTC (01/01/1950) 5.34 hrs+Z, while the ascending track was measured in the afternoon, approximately UTC (01/01/1950) 17.77 hrs+Z. The time interval between ascending and descending satellite tracks is about 15- 16 days, and attheirextremesareabout 18kmapart. The normal velocity component allowed depict the spatial distribution of the water exchange, occurred at that location, in response of the adjacent op en-sea forced into Bahía de Banderas. Therefore from the spatial distribution of the water exchange taking place at the Bay’s mouth, it is p ossible to depict subjectively the spatial distribution of the marine circulation inside the Bay. Along with the altimeter observationsat the Bay’smouth, the AVHRR p oints(January 2000-December 2002, therewere no datafor p revious years) inside the Bay and its surrounding areas (Figure 1) allowing us to build long time-series (oneyear) of seasurfacetemperature(SST).Thatprevented usto extract themost dominant frequenciesand their related energies, which must be in association with the water exchange hap pen at the Bay ’s mouth as responseof theopen-seawater motion. The AVHRR measured the SST every two days (Dt), with a sp atial resolution of 14 km, these are a composite gridded-images derived from 8-km resolution SST (www.saa.noaa.gov) . The length of the SST time series (one year), gives information of the low-frequency signals (semi-monthly or fortnightly, monthly, seasonal, semi-annual, annual and inter-annual signals), but their sampling interval (2 days) does not allowtodefinethehighfrequenciessignals(wind-waves, tides, inertial period, dailyheating)(Figure2). ISSN:1665-5745 -4/29- www.e-gnosis.udg.mx/vol3/art3 ©2005,e-Gnosis[online],Vol.3,Art.3 Preliminary temporal and spatial… Salas P. J. et al. Figure 2. Temperature records of punctual two-daily SST time-series building from the track of the AVHRR. Itslocation isindicated in figure1, with thenumber 3. Superimposed wereplotted theraw/filtered ISSN:1665-5745 -5/29- www.e-gnosis.udg.mx/vol3/art3 ©2005,e-Gnosis[online],Vol.3,Art.3 Preliminary temporal and spatial… Salas P. J. et al. (white-line) SST time-seriesrecorded from thethermograph. a) SST time-seriesof 2000. b) SST time-series of 2001. c) SST time-series of 2002. d) Daily wind speed time series, building from the QuickScat. Locationsof thesetime-seriesareindicated infigure1,with *, lettersb and c,respectively. To overcome that problem, six time-series of temperature recorded with a submarine digital thermograph model TDS-85 (Oceanologic Research Institute of Universidad Autónoma de Baja California instrument), and sampled at intervals of Dt=5 min, Dt=10 min. and Dt=15 min., were used (Figure 2). That instrument measures the temperature with precision of ± 0.2ºC and resolution of 0.01ºC. The instrument was deployed at about 10 m of depth and just behind of the Marietas Islands (105.56°W-20.7°N) (Figure 1). The thermograph recorded time-series of temperature in spring and summer: one period from July 10 to August 15 of 2000, and the others (five) from M arch 01 to August 24 of 2001 (Figure 2). These data-set have a length of ~1 month, enough to resolve the most important high frequency signals of the temperature field near of Bay ’s Islands. Wind fields (ERS-2 AM I-Wind) between periods of 1996/03/25 to 1998/03/01 are availableonly at weekly and monthly intervalsand interpolated in agrid of 1ºx1º[17].For thiskindof wind fields there is a point inside the Bay located at the next geographic coordinates: 105.5ºW-20.5ºN. Weekly vectors of wind fields, were averaged in order to plot them at the central time of the ascending or descending tracks of the altimeter radar. Because, it is the best way to fulfill sinopticity, at least qualitatively, between windspeed and thewater exchangetaking placeat thebay’smouth. Quick Scat daily wind speed (V) fields, interpolated in boxes of 0.5ºx0.5º, were used to detect the wind speed influencein generating circulation at theBay’smouth. Thep eriod covered by wind fields(data-base) ranges from the year 2000 to the present date. Then, analysing the wind-grid at that period, two points were located along of y ears 2000-2001, outside of the Bay at 105.75°W-20.75°N and 105.75ºW-20.25ºN, just in front of theMarietasIslandsand south of Cabo Corrientes.Thefirst one, closerto theBay wasemployed as a fixed meteorological station to computethe oscillation periods of this parameter. Hence that dailywind sp eed time-series was taken as representative of the temporal wind fluctuations occurring inside the Bay (Figure2d). The spatial distribution of the wind field inside theBay could be more complex than their time-fluctuations, dueto themountains surrounding thisplace. However, theinformation p rovided for thesetwo locationsrep resent an ap proximation on how wind works over a period of time to induce currents in the Bay. Predicted hourly tidal amplitudeswereobtained from two gaugestations: (referencelevel: lower low-tide) onelocated at 105.25°W-20.61°N near Bahía de Banderas head (Zlocal=+6), and another outside of it (southwestward), about 700 km apart of the first one, in the locality named Isla Socorro (111.01ºW-18.83ºN) (Zlocal=+7) (Figure 1) (www.cicese.mx/predob) . Both stations were analysed between the years1997-1998 and 2000- 2001, to determine how oceanic tide amplitudes work to generate tides and tidal currents inside the Bay during theirebb/floodand sp ring/neap cycles(Figure3). ISSN:1665-5745 -6/29- www.e-gnosis.udg.mx/vol3/art3 ©2005,e-Gnosis[online],Vol.3,Art.3 Preliminarytemporalandspatial…SalasP.J.et al. Figure 3. Hourly variations of the predicted tidal amplitudes of 1997. a) Pto. Vallarta gauge station. b) Isla Socorro gauge station. Before extractingthe most dominant frequencies measured in the time series, these were manually despiking from erroneous data, and then they were detrending, i.e. the annual and monthly signals were removed from the AVHHR series (sp anning one year) and the thermograph records (spanning one month), respectively . Finally, comparing low-frequency and high-frequency energies computed from a spectral analysiswereapplied to thetime-series, to determinewhich component of thePacificOcean marine circulation must controlthefluctuationsintheserecords, and thusthewater motionintheBay. 2. Results 2.1 TemporalPatterns The thermograph records and tidal height time-series showed a seasonal trend, a fortnightly fluctuation, and fluctuations associated with daily or hourly signals superimposed over them (Figure 2 and 3), while the AVHRRtime-seriespresented aseasonal variation, withapredominantlysemi-annual signal(Figure2). During summer, a good correlation was obtained between the raw temporal pattern of the SST time-series measured with the AVHRR and the thermograph (Figure 2) although they were measured at different locations of the Bay, app roximately 11 km apart (Figure 1). The cross-correlation between AVHRR and thermograph time-serieswasabout of ~0.99(lag=0). ISSN:1665-5745 -7/29- www.e-gnosis.udg.mx/vol3/art3 ©2005,e-Gnosis[online],Vol.3,Art.3 Preliminary temporal and spatial… Salas P. J. et al. In spring of 2001, however (March 1 and April 1, and April 28 to May 14), there were large differences (<DT>=~ 3.35-3.7 ºC) between those time-series (Figure 2). The differences between the records of temperature probably must be associated with a local event occurred at the Island wake. Although at higher periods(lowerfrequencies) they showed an concurrencebetween their temporal patterns(Figure2). 2.1.1Spectral analysis From the time-series of SST measured with the AVHRR, the thermograp h, and the wind speed time-series presented in Figure 2, relevant energies and periods (frequencies) were computed. in order to discern which were the most energetic components of these parameters, and relate their fluctuations with the main generatorsof themarinecirculation intheBay. Those parameters were estimated to the unfiltered time-series presented in Figure 2 by an ensemble average (annual and seasonal) spectral analysis. Only the summer time-series recorded with the thermograph were used to apply the analysis, since they showed the better correlation with the SST time-series built from the satellite. Thoseserieswerere-sampled previously at Dt=1 hr.from their original sampling interval, to do the spectral analysis. Theseestimationsaresummarized inTable1. Data-Source Date Period Energy (dd/mm/yy) (hourorday) (°C_/Dtime) Thermograph 10/07/00-15/08/00 ~12.0-~12.5hrs. 0.1-0.2e+01 Thermograph 10/07/00-15/08/00 ~23.8-~24.4hrs. 0.2-0.3e+01 Thermograph 10/07/00-15/08/00 26.9-~31.0 hrs. 0.1e+01 Thermograph 10/07/00-15/08/00 ~7-~11days 0.9-3.5e+01 Thermograph 10/07/00-15/08/00 ~14-~20days 3.7-9.9e+01 Thermograph 10/07/00-15/08/00 ~41.7days 5.9e+01 Thermograph 12/07/00-24/08/01 ~12.0-~12.5hrs 0.1-3.6e+01 Thermograph 12/07/00-24/08/01 ~23.8-~24.4hrs 0.3-0.7e+01 Thermograph 12/07/00-24/08/01 ~26.9-~31.0hrs 0.1-0.2e+01 Thermograph 12/07/00-24/08/01 ~7-~11days 0.7-1.1e+01 Thermograph 12/07/00-24/08/01 ~14-~20days 0.9-2.3e+02 Thermograph 12/07/00-24/08/01 ~41.7days 6.5e+02 <SST> - 14.36days 1.2e+01 <SST> - 85.33days 1.6e+02 <SST> - ~128.2days 3.7e+04 <SST> - 256.4days 3.8e+04 QuickScatwinds 01/01/01-31/12/01 ~3-~5days 0.7-2.6e+02 QuickScatwinds 01/01/01-31/12/01 ~7-~11days 0.3-3.0e+02 QuickScatwinds 01/01/01-31/12/01 ~15-~20days 0.9-3.1e+02 QuickScatwinds 01/01/01-31/12/01 ~85.33days 1.4e+02 QuickScatwinds 01/01/01-31/12/01 ~128.2days 7.1e+02 QuickScatwinds 01/01/01-31/12/01 ~256.4days 2.4e+03 Table 1. Only the most energetic frequencies computed from the spectrum are listed in the table. The spectrum parametersofSSTareaveraged valuesof threeyears. The mean spectrums computed by the three seasons cap tured with AVHRR observations, contained in the low-frequencies (~14< periods <256 days) accounted for about 98% of the total variance of the three years analy sed here (Table 1). The spectrum parameters from wind speed and temperature (thermographs) time- ISSN:1665-5745 -8/29- www.e-gnosis.udg.mx/vol3/art3 ©2005,e-Gnosis[online],Vol.3,Art.3 Preliminary temporal and spatial… Salas P. J. et al. series spread their variances in periods ranging between ~3< p eriods <256 days (Table 1). As expected, the results showed that low-frequency signals (fortnightly, monthly, seasonal and semiannual) had energies larger than thoseof highfrequenciessignals(dailyheating). Particularly, the most dominant low-frequency signals of the SST-AVHRR records were found at periods ~14 days and ~8 months, with a predominance of the ~5-~8 month periods over the others. In general, the thermograph spectrums showed peaks of energy at semidiurnal and diurnal bands with the same order of magnitude that peaks of energy at low-frequency bands (Table 1). The thermograph spectrum of 2001, showed a twice order of magnitude in its energy at low frequency bands of ~14~20 days and ~41.7 days, with aslight dominanceof theband of~14-~20daysover theothers(Table1). Thewind speed spectrum parametersshowed concordancewith theSST spectrum parameters.Nevertheless, there were periods of ~4-~11 day s which have energies with an order of magnitude equal to the ~3-~5 month periods (Table 1). Those periods (~4-~11 day s) must be associated with the passage of storm surges generated by meteorological phenomena(i.e. ahurricane) aroundthearea. 2.1.2Tidal analysis Mixed predicted tidal amplitudes during the years 1997-1998 and 2000-2001 (Figure 3) had a mean amplitude at Isla Socorro of <Ais>=53 cm, while their mean amplitude at Bahía de Banderas was <Abb>=51 cm, with maximum heights of <Amaxis>=143-106 cm and <Amaxbb>=139-148 cm, and a minimum height of <Aminis>=39-490.3 cm and <Aminbb>=40-45 cm, respectively . A harmonic analysis wasapp lied to sea-level time-seriesof IslaSocorro and BahíadeBanderas, to computethemain amplitudes of thetidalfrequencies, using the[18] software. Theanalysis showed tidal amp litudesgreater than 10 cm, oscillatingat periodsof themain semidiurnal (M2 and S2) species and the main diurnal (K1 and O1) harmonics (Table 2). The low-frequency tidal species mainly, the solar semi-annual (Ssa), solar monthly (M sm), lunar monthly and fortnightly constituents (Msf, Mf) showed amplitudes smaller than 8cm frictional species showed values lesser than 1 cm, (not summarized in Table 2). Therefore the tide action in Bahía de Banderas was predominantly forced at semidiurnal (M2and S2) and diurnal (K1, O1) periods, with a clear dominance of thefirst one(semidiurnal) over the second one (diurnal), because the “Form-Zahl” of the tides is F=0.25. The most predominant constituent at semidiurnal periods was the M 2, and the K1 at diurnal periods. But the M2 harmonic dominated in amplitudeover theothers,includinglow-frequency species. By comparing the amplitudes between the stations of Isla Socorro (open-sea) and Bahía de Banderas it was observed that the open-sea tide wave amplitude at semidiurnal (M2) and diurnal (K1, O1) species experienced a reduction in their amplitudes: of 3 cm for the M2 harmonic, and 1 cm or less to K1 and O1 species at Bahía de Banderas head (Table 2). While the S2 harmonic, associated with the heat and wind fluctuations [19], slightly increased its amplitude ~0.4-0.5 cm at the Bay’s head (Table 2). Although in the year 2000 there was a large difference, 15 cm, between the amplitudes of the S2harmonic computed at Isla Socorro andBanderasBay (Table2). Another observed feature was the tidal amplitudeof the all species in the year 2000, showing an increase of their amplitude from open-sea to the Bay’s head. Particularly, the harmonic M2doubled its amplitude to about 15 cm(Table2). ISSN:1665-5745 -9/29- www.e-gnosis.udg.mx/vol3/art3