jesus planella morató elena roget armengol and xavier sanchez martin
DESCRIPTION
“ Upraising measurements for the study of convective mixing at the upper mixed layer of a lake ”. Jesus Planella Morató Elena Roget Armengol and Xavier Sanchez Martin [email protected]; [email protected]; [email protected]. Environmental Physics Group, Department of Physics - PowerPoint PPT PresentationTRANSCRIPT
Jesus Planella MoratóElena Roget Armengol
and Xavier Sanchez [email protected]; [email protected];
“Upraising measurements for the study of convective mixing at the
upper mixed layer of a lake”
Environmental Physics Group, Department of Physics
University of Girona (UdG), Catalonia, Spain
1. Outline1. Introduction: Mixing in enclosed basins.2. Study site: Boadella Reservoir
General description Field Campaign
3. Results: Water column structure: Analysis of MSS profiler
data. Velocity field: Analysis of ADCP data. The Turbulent Stratified Sub-Layer: TSSL. Parameterizations and scaling the TKE dissipation rate
4. Conclusions5. Future work
1. Introduction: Mixing in enclosed basins
Aim of this work:
1. Obtain small-scale microstructure data from a uprising measurement system in a small stratified reservoir.
2. Describe turbulence characteristics in depth and time during the field campaign.
3. Validate and provide applicable parameterizations of mixing for modelling small enclosed basins.
Enclosed aquatic systems
Complex systems:Wide variety of mixing
mechanisms involved in
Quantitative descriptionRate of vertical exchange
Parameterizations: Buoyancy Flux: Jb0
Surface/Bottom stress: u*
Exchange coef.: Km and K
How should be parameterized from measurable
quantities?
1st. What is the mechanism that leads to turbulence?
Convection
Inflows/Outflows
Internal wave field Wind-stress forcing
Turbulent scales and numbers…Qualitativel
y
Quantitatively
Small reservoir located 100 m asl in NE Catalonia (Eastern pre-Pyrenees)Narrowed system exposed to north winds/ breeze regime
2. Study site: Boadella reservoir2.1. General description
Water inputs: Two main tributaries: Muga/Arnera river
Max. surface
area (km2)3.6 km2
Maximum depth[m] 60 m
Max. capacity[m] 62 hm2
Max. dimensions
8.7 km long1 km wide
Max. length of shoreline
[km]21 km
2. Study site: Boadella reservoir2.2. Field Campaign
On 27th and 28th in March 2010
Station point:200 m from coast
MSS profilerADCP profiler
Uprising system from shoreline:
75 casts: Every 15 min (22 h)
Low speed: ~0.4 m/s Depth: ~22 m
MSS profiler:
Water column: 0.5 m bins Sampling rate: 0.03 Hz
(5.5 h)
ADCP profiler:
3. Results3.1.Water column structure: MSS
StratifiedSystem
Internal seiche
field
log10 (N2 (s-2 ))vs.
depth z (m)
18:00
20:00
22:00
0:00
2:00
4:00
6:00
8:00
10:00
12:00
14:00
Temperature (ºC) vs. depth
18:00
20:00
22:00
0:00
2:00
4:00
6:00
8:00
10:00
12:00
14:00
log10 (turb. (ppm ))vs.
depth z (m)
Epilimnion (SL):Mixed Layer
Convection
Restratification
Metalimnion(TH): Strongly stratified
Hipolimnion(HL): Weakly stratified
ºC
ppm
ppb
Internal source of mixing:
River interflowSeiche field
External sources
of mixing: ConvectionWind-stress
3. Results3.2. Velocity field reservoir: ADCP
Along-reservoir velocity u (mm/s) vs. depth
River interflow: z~3.5 - 5.5 m and u [20,70] cm/s Internal seiche field: up to ~7 cm/s
log10 (u (mm/s))
10:00
11:00
12:00
13:00
14:00
15:00
Internal sources of mixing:
Forcat, F.; Roget, E.; Figueroa, M.; Sanchez, X. "Earth rotation effects on the internal wave field in a stratified small lake: Numerical simulations." Limnética 30 (2011): 27-42.
3. Results3.3. Turbulent Stratified Sub-Layer
River interflow: High velocities (v>20 cm/s; Sh2 >0.01 s-2) High stratification (5·10-4 s-2 <N2 <5·10-3
s-2) Low Richardson numbers (Ri<0.07) High TKE dis. rates (>2.75·10-6 W·kg-1)
Well-defined sublayer: Turbulent Stratified Sub-layer (TSSL)
Analogous to STZ (Str. Turb. Zone) (LF-02)TSBL (Wrinkel & Gregg 2002)
Presence of SDP described in LF-02
Good sub-layer to validate parameterizations:
Very low Ri (small errors)Based on patch length
log10((W·kg-1)) vs. depth
3. Results3.4. Parameterizations and scaling the TKE
dissipation rateParameterization K : Dependence on Ri
440
515110542
1325
.r
RiRi·.K /
710
10545110110342
61325
.r
·.RiRi·.K /
rp
c RiRi
RiRi~K
11
p= 2/3 or 1 r =1
Lozovatsky et al. [2006]:Asymptotes linked to turbulent scales
Ric= 0.1 - 0.05Ri = 0.01
Weakly stratifiedupper ocean layer
Lozovatsky et al. [2006]
Lozovatsky, I.; Roget, E.; Fernando, H.J.S.; Figueroa, M.; Shapovalov, S. "Sheared turbulence in a weakly stratified upper ocean." Deep-Sea Research Part I-Oceanographic Research Papers (2006): 387-407.
Spectral analysisK(Ri)
(W/kg)
TSSL
mppp
T
Tmp
T
pp
p
T Re,Rif~hL
KRe
KhN
Ri
hL
2
42
TKE dissipation rate from Thorpe and patch scales:
log10( (W/kg)) vs. depth
C=0.3 [LF-02]C=0.45 small stratified lake [Planella et al. 2011]
32 NL~ T Proportionality c ~ 0.64 [Dillon,1982]
NL~KN
~K T 22
Proportionality k~ 0.1
Lozovatsky and
Fernando (2002)
141
1103051
mp
mpc
cp
p
p
T
ReRe
RiRi
Cx.x.hL
mppp Re,RixNxgh~ 32 and
Planella Morató J.; Roget, E.; Lozovatsky, I. "Statistics of microstructure patchiness in a stratified lake" Journal of Geophysical Research-Oceans (2011), 116, C10035.
SDP:
hp
3. Results3.4. Parameterizations and scaling the TKE
dissipation rate
TKE dissipation rate in SL??
660
10152
11818
3
.r
z~z.zuk
.
*
Wind velocity vs. time
v (m/s)
t(h)
Estimates drag coefficient, Cd: from Wüest and Lorke [2003]:
1511000440 .
d U.C
sm.~u
sm~u wind
**33 1083105
22:00
02:00
06:00
10:00
14:00
18:00
18:00
3. Results3.4. Parameterizations and scaling the TKE
dissipation rate
4. Conclusions Uprising measurements were done satisfactorily: Data were obtained up to surface. Our results correlates well with expected results in SL (LOW profile). Uprising measurements allows to describe qualitatively the convective process in the mixed layer. River interflow is identified in the upper part of the main thermocline at ~3.5 m depth from the surface: Parameterizations for vertical transport (diffusivities) are in good agreement with parameterizations based on Richardson number and Thorpe scales
Estimated dissipation rates from diffusivities obtained from parameterizations are in accordance to dissipation rates estimated from spectral analysis.
Internal seiche field is also observed during the whole field campaign: Obtained diffusivities fit also reasonable well to parameterizations proposed in literature.
4. Future work
Parameterization during the night period: Test the parameterizations of convective turbulence and convective + wind-driven turbulence in the mixed layer.
Simulations: 1. How the internal seiche field interacts when convection and wind stress are present.2. How the river interflow interacts with other turbulent mixing processes.
Thanks for your attention