sst decrease on the san matias gulf coast ...bolivia figure 1 65 ºw 64 ºw 63 ºw 43 ºs 42 ºs 41...

1
- Zonal velocity: Figures 3 and 4 show the barotropic response to wind forcing in the SMG using the Regional Ocean Model System (Tonini, 2010). Nonlinear effects generate upwelling or downwelling under different wind conditions. Figure 3c shows the northerly wind case which produces an Ekman transport to the east in southern hemisphere, decreasing sea level on the west coast and favoring the upwelling generation. This is shown in Figure 4c by mean of vertical velocities. On the other hand Fig 3d arises from southerly winds which cause a surface elevation on the west coast which lead to downwelling, as shown in Figure 4d. Figure 3: Mean flow and surface elevations. a) West wind, b) East wind, c) North Wind and d) South wind. Figure 4: Vertical velocity (10-4 m.s-1) in the bottom layer. a) West wind, b) East wind, c) North Wind and d) South wind. SST images show a well-know frontal area near the mouth and centre of the Gulf generated by tidal friction and the inflow of shelf waters at the south-east corner (Fig. 2), however in some cases, there are strong SST gradients (in some cases > 0.1ºC/km) on the west coast of SMG, as shown in Fig. 5. These images were selected based on the observation of mean northerly wind exceeding 5 m s -1 for three consecutive days. Zonal transport: f t M y x = ρ τ Simple theoretical framework of upwelling in the SMG Simple theoretical framework of upwelling in the SMG 65 ºW 64.5 ºW 64 ºW 63.5 ºW 43 ºS 42.5 ºS 42 ºS 41.5 ºS 41 ºS 40.5 ºS 15 ºC 16 ºC 17 ºC 18 ºC 19 ºC 20 ºC 21 ºC 22 ºC 23 ºC 04 Jan 2005 21:34 hs 65 ºW 64.5 ºW 64 ºW 63.5 ºW 43 ºS 42.5 ºS 42 ºS 41.5 ºS 41 ºS 40.5 ºS 14 ºC 15 ºC 16 ºC 17 ºC 18 ºC 19 ºC 20 ºC 21 ºC 22 ºC 04 Feb 2005 22:11 hs 65 ºW 64.5 ºW 64 ºW 63.5 ºW 43 ºS 42.5 ºS 42 ºS 41.5 ºS 41 ºS 40.5 ºS 15 ºC 16 ºC 17 ºC 18 ºC 19 ºC 20 ºC 21 ºC 22 ºC 08 Feb 2002 23:04 hs 1 035 . 0 - = = s m h M u x 1 5 10 67 . 4 - - = = s m width M w x Assuming that the mixed layer depth (MLD, where transport occurs, h) is 20 meters and the area where upwelling is produced has 15 km width, then: SST DECREASE ON THE SAN MATIAS GULF COAST, SST DECREASE ON THE SAN MATIAS GULF COAST, ARGENTINA. POSSIBLE UPWELLING EVENTS ARGENTINA. POSSIBLE UPWELLING EVENTS Juan Pablo Pisoni 1,2 , Andrés L. Rivas 1 , Alberto R. Piola 2,3 and Domingo A. Gagliardini 1,4 1 Centro Nacional Patagónico (CENPAT-CONICET), 2 Universidad de Buenos Aires (UBA), 3 Servicio de Hidrografía Naval (SHN), 4 Instituto de Astronomía y Física del Espacio (IAFE) e-mail: [email protected] INTRODUCTION INTRODUCTION The San Matías Gulf (SMG) is the second largest gulf in the Argentinian Patagonian Shelf (Fig.1). It is one of the more productive regions of the Argentinian coast, and an outstanding foraging and breeding area for many species of birds, marine mammals and commercially valuable resources. A part of this region lies within the World Heritage area declared by UNESCO in 1999. DATA DATA SST images from NOAA-AVHRR at 1.1 km resolution. • Winds data from QuikSCAT scatterometer and consist in two images per day at 25 km of spatial resolution. Figure 5: SST AVHRR images (upper panel) showing cold surface waters in the west coast of SMG. The scales are different to highlight the SST contrast. Horizontal gradients (lower panel) from SST images showing relative high values near the west coast. CONCLUSIONS CONCLUSIONS • Satellite images reveal relatively cold SST values in the west coast of SMG in agreement with upwelling favorable wind and numerical simulations. • However, there are few cases in which the images present a band of cold water along the western shores but the winds are not upwelling favorable. On the other hand, after several days of upwelling favorable winds, it is not always possible to identify a cold coastal band in the SST images (not shown here). • Overall, both, ROMS and Ekman theory seem to be in relatively good agreement. • The velocity components derived from Ekman theory are not very different from those predicted from ROMS. Considering the meridional mean wind stress ( ) of the previous three days to the images of Figure 4, the zonal transport is given by: M x = 0.7 m 2 s -1 y τ ρ = water density f = Coriolis parameter - Vertical velocity: MLD MLD y τ w u 20 mts 140 km 15 km REFERENCES Tonini M. H. Doctoral Thesis. Modelado númerico del ecosistema de los Golfos Norpatagónicos, Universidad del Sur, Bahia Blanca, Argentina, 2010. ACKNOWLEDGMENTS The authors thank the Argentina’s National Commission for Space Activities (CONAE) and the financial support from the IAI CRN 2076, which is supported by NSF grant GEO -0452325). Figure 6: Simple scheme of the upwelling generation mechanism. Argentina Argentina Uruguay Uruguay Brazil Brazil Paraguay Paraguay Chile Chile Bolivia Bolivia Figure 1 Figure 1 San Matías Gulf Nuevo Gulf 65 ºW 64.5 ºW 64 ºW 63.5 ºW 43 ºS 42.5 ºS 42 ºS 41.5 ºS 41 ºS 40.5 ºS 0.1 ºC/km 0.2 ºC/km 0.3 ºC/km 0.4 ºC/km 0.5 ºC/km 65 ºW 64.5 ºW 64 ºW 63.5 ºW 43 ºS 42.5 ºS 42 ºS 41.5 ºS 41 ºS 40.5 ºS 0.1 ºC/km 0.2 ºC/k m 0.3 ºC/km 0.4 ºC/km 0.5 ºC/k m 65 ºW 64.5 ºW 64 ºW 63.5 ºW 43 ºS 42.5 ºS 42 ºS 41.5 ºS 41 ºS 40.5 ºS 0.1 ºC/km 0.2 ºC/km 0.3 ºC/km 0.4 ºC/km 0.5 ºC/km Based on in-situ data and remote sensing, thermal frontal systems have been previously identified (Fig. 2) and related to the areas where primary productivity is highest. Some of these frontal systems are spatially and temporally persistent and they are attributed to tidal vertical mixing and the inflow of shelf waters through the southeast. Other frontal areas located near the west coast of SMG, are more intermittent and are believed to be caused by upwelling favorable (N) wind events. 65 ºW 64.5 ºW 64 ºW 63.5 ºW 43 ºS 42.5 ºS 42 ºS 41.5 ºS 41 ºS 40.5 ºS 0.04 ºC/km 0.06 ºC/km 0.08 ºC/km 0.1 ºC/km 0.12 ºC/km 0.14ºC/km Figure 2: SST gradients climatology from NOAA-AVHRR. February (2000 – 2007). 5th ESA Earth Observation Summer School on Earth System Monitoring & Modelling. 2 - 13 August ESA/ESRIN Frascati, Italy.

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Page 1: SST DECREASE ON THE SAN MATIAS GULF COAST ...Bolivia Figure 1 65 ºW 64 ºW 63 ºW 43 ºS 42 ºS 41 ºS San Matías Gulf Nuevo Gulf San José Gulf 65 ºW 64.5 ºW 64 ºW 63.5 ºW 43

- Zonal velocity:

Figures 3 and 4 show the barotropic response to wind forcing in the SMG using the Regional Ocean Model System (Tonini, 2010). Nonlinear effects generate upwelling or downwelling under different wind conditions. Figure 3c shows the northerly wind case which produces an Ekman transport to the east in southern hemisphere, decreasing sea level on the west coast and favoring the upwelling generation. This is shown in Figure 4c by mean of vertical velocities. On the other hand Fig 3d arises from southerly winds which cause a surface elevation on the west coast which lead to downwelling, as shown in Figure 4d.

Figure 3: Mean flow and surface elevations.a) West wind, b) East wind, c) North Wind and d) South wind.

Figure 4: Vertical velocity (10-4 m.s-1) in the bottom layer. a) West wind, b) East wind, c) North Wind and d) South wind.

SST images show a well-know frontal area near the mouth and centre of the Gulf generated by tidal friction and the inflow of shelf waters at the south-east corner (Fig. 2), however in some cases, there are strong SST gradients (in some cases > 0.1ºC/km) on the west coast of SMG, as shown in Fig. 5.These images were selected based on the observation of mean northerly wind exceeding 5 m s-1 for three consecutive days.

Zonal transport: f

tM

y

x ⋅=

ρτ

Simple theoretical framework of upwelling in the SM GSimple theoretical framework of upwelling in the SM G

65 ºW 64.5 ºW 64 ºW 63.5 ºW43 ºS

42.5 ºS

42 ºS

41.5 ºS

41 ºS

40.5 ºS

15 ºC 16 ºC 17 ºC 18 ºC 19 ºC 20 ºC 21 ºC 22 ºC 23 ºC

04 Jan 2005 21:34 hs

65 ºW 64.5 ºW 64 ºW 63.5 ºW43 ºS

42.5 ºS

42 ºS

41.5 ºS

41 ºS

40.5 ºS

14 ºC 15 ºC 16 ºC 17 ºC 18 ºC 19 ºC 20 ºC 21 ºC 22 ºC

04 Feb 2005 22:11 hs

65 ºW 64.5 ºW 64 ºW 63.5 ºW43 ºS

42.5 ºS

42 ºS

41.5 ºS

41 ºS

40.5 ºS

15 ºC 16 ºC 17 ºC 18 ºC 19 ºC 20 ºC 21 ºC 22 ºC

08 Feb 2002 23:04 hs

1

035.0−== sm

h

Mu x

15

1067.4−−== sm

width

Mw x

Assuming that the mixed layer depth (MLD, where transport occurs, h) is 20 meters and the area where upwelling is produced has 15 km width, then:

SST DECREASE ON THE SAN MATIAS GULF COAST, SST DECREASE ON THE SAN MATIAS GULF COAST, ARGENTINA. POSSIBLE UPWELLING EVENTSARGENTINA. POSSIBLE UPWELLING EVENTS

Juan Pablo Pisoni1,2, Andrés L. Rivas1, Alberto R. Piola2,3 and Domingo A. Gagliardini1,4

1Centro Nacional Patagónico (CENPAT-CONICET), 2Universidad de Buenos Aires (UBA), 3Servicio de

Hidrografía Naval (SHN), 4Instituto de Astronomía y Física del Espacio (IAFE)

e-mail: [email protected]

INTRODUCTIONINTRODUCTIONThe San Matías Gulf (SMG) is the second largest gulf in the Argentinian Patagonian Shelf (Fig.1). It is one of the more productive regions of the Argentiniancoast, and an outstanding foraging and breeding area for many species of birds, marine mammals and commercially valuable resources. A part of this region lies within the World Heritage area declared by UNESCO in 1999.

DATADATA• SST images from NOAA-AVHRR at 1.1 km resolution. • Winds data from QuikSCAT scatterometer and consist in two images per day at 25 km of spatial resolution.

Figure 5: SST AVHRR images (upper panel) showing cold surface waters in the west coast of SMG. The scales are different to highlight the SST contrast. Horizontal gradients (lower panel) from SST images showing relative high values near the west coast.

CONCLUSIONSCONCLUSIONS• Satellite images reveal relatively cold SST values in the west coast of SMG in agreement with upwelling favorable wind and numerical simulations.• However, there are few cases in which the images present a band of cold water along the western shores but the winds are not upwelling favorable. On the other hand, after several days of upwelling favorable winds, it is not always possible to identify a cold coastal band in the SST images (not shown here).• Overall, both, ROMS and Ekman theory seem to be in relatively good agreement.• The velocity components derived from Ekman theory are not very different from those predicted from ROMS.

Considering the meridional mean wind stress ( ) of the previous three days to the images of Figure 4, the zonal transport is given by: Mx = 0.7 m

2 s-1

ρ = water density

f = Coriolis parameter

- Vertical velocity:

MLDMLD

ww

uu 20 mts

140 km

15 km

REFERENCESTonini M. H. Doctoral Thesis. Modelado númerico del ecosistema de los GolfosNorpatagónicos, Universidad del Sur, Bahia Blanca, Argentina, 2010.

ACKNOWLEDGMENTSThe authors thank the Argentina’s National Commission for Space Activities (CONAE)and the financial support from the IAI CRN 2076, which is supported by NSF grant GEO -0452325).

Figure 6: Simple scheme of the upwelling generation mechanism.

ArgentinaArgentina UruguayUruguay

BrazilBrazilParaguay

Paraguay

Chi

leC

hile

BoliviaBolivia

Figure 1Figure 1

65 ºW 64 ºW 63 ºW

43 ºS

42 ºS

41 ºS

San Matías Gulf

Nuevo Gulf

San José Gulf

65 ºW 64.5 ºW 64 ºW 63.5 ºW43 ºS

42.5 ºS

42 ºS

41.5 ºS

41 ºS

40.5 ºS

0.1 ºC/km 0.2 ºC/km 0.3 ºC/km 0.4 ºC/km 0.5 ºC/km

65 ºW 64.5 ºW 64 ºW 63.5 ºW43 ºS

42.5 ºS

42 ºS

41.5 ºS

41 ºS

40.5 ºS

0.1 ºC/km 0.2 ºC/km 0.3 ºC/km 0.4 ºC/km 0.5 ºC/km

65 ºW 64.5 ºW 64 ºW 63.5 ºW43 ºS

42.5 ºS

42 ºS

41.5 ºS

41 ºS

40.5 ºS

0.1 ºC/km 0.2 ºC/km 0.3 ºC/km 0.4 ºC/km 0.5 ºC/km

Based on in-situ data and remote sensing, thermal frontal systems have been previously identified (Fig. 2) and related to the areas where primary productivity is highest. Some of these frontal systems are spatially and temporally persistent and they are attributed to tidal vertical mixing and the inflow of shelf waters through the southeast. Other frontal areas located near the west coast of SMG, are more intermittent and are believed to be caused by upwelling favorable (N) wind events.

65 ºW 64.5 ºW 64 ºW 63.5 ºW43 ºS

42.5 ºS

42 ºS

41.5 ºS

41 ºS

40.5 ºS

0.04 ºC/km 0.06 ºC/km 0.08 ºC/km 0.1 ºC/km 0.12 ºC/km 0.14 ºC/km

Figure 2: SST gradients climatology from NOAA-AVHRR. February (2000 – 2007).

5th ESA Earth Observation Summer School on Earth System Monitoring & Modelling.2 - 13 August ESA/ESRIN Frascati, Italy.