joint research proposal: the kuroshio and its effects on regional … · 2016-01-25 · joint...
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Joint research proposal: The Kuroshio and its effects on regional climate
Fangli Qiao First Institute of Oceanography, SOA, China
12-13January, 2015 Yokohama, Japan
p I have to cancel this important and interesting trip to Yokohama, Japan, since my visa is not available till now;
p Hope you have a successful and fruitful meeting;
p Special thanks to Prof. Xiaopei Lin, Ocean University of China who will present on behalf of me.
Outline
1. Non-breaking surface wave induced mixing, Bv 2. Surface wave in ocean and climate models 3. FIO-ESM with surface waves 4. Kuroshio simulation and prediction 5. Summary
1. Non-breaking surface wave induced mixing, Bv
Motivation Two of the common problems nearly all models faced: (1) OGCMs: Simulated SST is overheating in summertime, and mixed layer depth is too shallow while the thermocline is too weak (Martin 1985, Kantha 1994, Ezer 2000, Mellor 2003).
(2) Climate Models: Tropical bias for all CGCMs, such as too cold tongue, wrong Atlantic SST gradient
MLD in OGCM
ü Observation ü Model from POM
6
MLD in CMIP5 models: the black thick is data, and the dashed black is multi-model mean.
Huang et al, 2014, JGR
Some related work: 1. Phillips, O. M. , 1961: “Although the use of potential theory has been very successful in describing certain aspects of the dynamics of gravity waves, it is known that in a real fluid the motion can not be truly irrotational”. And Phillips (1974): Wave is proved to be too feeble for any dynamic consequence
2. Wave enhanced turbulence (Craig & Banner,1994; Terray, E.A. et al, 1996; Le Ngoc LY 2000; Burchard &Karsten, 2001; Mellor & Blumberg, 2004): Wave-breaking
3. Wave-current interaction (Xie et al 2002, 2003): 2-D
4. Mellor et al, 2003JPO, and 2008 J. Atmos. Ocean. Technol [wave breaking]
While these studies (wave-breaking) have shown some improvements in simulation, the surface wave effects are mostly limited to the top few meters, and too weak
Lack of mixing in the upper ocean
As the mixing process is essentially an energy balance problem, waves, as the most energetic motions at the ocean surface, should play a controlling role. Unfortunately, in
most ocean dynamics studies, wave motions have always been treated separately from the ocean circulation. Surface wave: 60 TW, Circulation: 4 TW
E(K) is the wave number spectrum which can be calculated from a wave numerical model. It will change with (x, y, t), so Bv is the function of (x, y, z, t). Qiao et al, 2004, 2010, 2016
If we regard surface wave as a monochramatic wave, 3 ( 3 ) ( 3 ) ,kz kz
v sB A k e A u eα ω α− −= =
Bv is wave motion related vertical mixing instead of wave breaking.
Stokes Drift
( ) { } ( ) { }12
2exp 2 exp 2Vk k
B E k kz dk E k kz dkz
α ω⎛ ⎞∂
= ⎜ ⎟∂ ⎝ ⎠
∫∫ ∫∫v v
v v v v
Although the horizontal scale of surface wave, 100m, is much smaller than that of circulation, however, the wave-induced vertical velocity in the upper ocean could be stronger than vertical current turbulence velocity.
Laboratory experiments:
Wave tank: 5m in length with height of 0.4m and width of 0.2m. To generate temperature gradient through bottom cooling of refrigeration tubes, and temperature sensors are self-recorded with sampling frequency of 1Hz.
Bottom of wave tank
Top of wave tank
Refrigeration tube
Temperature sensor
(1) Temperature evolution in natural condition
(2) Temperature evolution with wave
Dai and Qiao et al, JPO, 2010
Experiment results without and with waves
Evolution of water temperature without waves. (a) Observation; (b) simulation.
zT Tkt z z
⎛ ⎞⎜ ⎟⎝ ⎠
∂ ∂ ∂=
∂ ∂ ∂
kz=k0+Bv
Simulation results with waves
Evolution of water temperature with waves. Left: observation; right: simulation; (a,b) 1.0cm, 30cm; (c,d) 1.0cm, 52cm;
Observation evidences
Vertical profiles of the measured dissipation rates εm (dots), and those predicted by wave εwave (black lines) and the law of the wall εwall (pink lines) at Station S1~S12 (in m2 s−3). Observation is conducted in SCS during October 29 to November 10, 2010. Huang and Qiao et al, 2012, JGR
2. Bv in ocean and climate models
We apply Bv into:
Bohai Sea
Yellow Sea
East China Sea
And
South China Sea
Xia et al, JGR,2006
3-D coastal circulation model (Special Issue on JGR, 2006 at http://www.agu.org/journals/ ss/CHINASEAS1/ )
385 390 395 400Latitude(1/10° N)
T_Bohai section
-25
-20
-15
-10
-5
0
H(m)
17.51818.51919.52020.52121.52222.52323.52424.52525.526
38 38.5 39 39.5 40 40.5-30
-25
-20
-15
-10
-5
0
18
18.5
19
19.5
20
20.5
21
21.5
22
22.5
23
23.5
24
24.5
25
25.5
26
Observation in summer
Lin et al, 2006 JGR
38.5 39 39.5 40-30
-25
-20
-15
-10
-5
0
11121314151617181920212223242526
(a) POM
POM+Bv
3-D coastal models
Along 35N transect in Aug.
World Ocean Atlas
With wave-induce mixing
Without wave effects
Pacific Atlantic Indian Pacific Atlantic
Along 35S transect in Feb.
35N
35S
3-D global ocean circulation models
Along 35N transect in Aug.
World Ocean Atlas
With wave-induce mixing
Pacific Atlantic Indian Pacific Atlantic
Along 35S transect in Feb.
Vertical Temperature Distributions
Without wave-induce mixing
The two lines represent the whole upper ocean: Zonal (x-direction) and upper 100m (z-direction) averaged correlation coefficient (t).
Black, POM2008 without wave effects; Green: with wave breaking (and IW) suggested by Mellor (2004, JPO); Red: with Bv
MLD of the Southern Pacific in Feb.
MLD of the Northern Atlantic in Aug.
World Ocean Atlas
With wave-induce mixing
Without wave-induce mixing
MLD in summer (Qiao et al, OD, 2010)
Time evolutions of global mean SSTs simulated in Exp. N (blue line for without Bv) and Exp. W (pink line for with Bv), and that
from the WOA01 climatology (black line). Huang et al, AOS, 2008
Climate model 1: FGCM0
Data
With Bv No Bv
Bv effect
Water vapor transport in Australian-Asian Monsoon area
Song and Qiao et al, 2012, JAS
Climate model 2: CCSM3
CCSM3+Waves
CCSM3: 251-300a
WOA
The isotherm of 27℃
50a averaged SST (251-300a).
Up: Exp1-Levitus, Down: Exp2-Exp1
Exp1: CCSM3 without Bv
Exp2: with Bv
3. FIO-ESM with surface wave
Framework of FIO-ESM version1.0
Land carbon CASA’
Atmosphere CO2 transport
Ocean carbon OCMIP-2
Wave-induced mixing, Qiao et al., 2004
FIO-ESM for CMIP5
Descriptions of the FIO-ESM
Physical models l ATM: CAM3.0, T42L26 l LND: CLM3, T42 l OCN: POP2, 1.1o*0.3~0.5o, 40 vertical layers l ICE: CICE4, 1.1o*0.3~0.5o l WAV: MASNUM wave model, 2o*2o
l Wave-circulation coupling: based on the wave-inducing mixing
SST absolute mean errors for 45 CMIP5 models
Sea ice annual cycle in Arctic
Future Experiment 2006-2100
RCP85 RCP60 RCP45 RCP26
Historical run
3.8℃
Centurial Future Projections
1
1.2
1.4
1.6
1.8
2
2.2x 1013
January
RCP2.6RCP4.5RCP6.0RCP8.5
1.2
1.4
1.6
1.8
2
2.2
2.4x 1013
February
1.2
1.4
1.6
1.8
2
2.2
2.4x 1013
March
1.2
1.4
1.6
1.8
2
2.2
2.4x 1013
April
1
1.2
1.4
1.6
1.8
2
2.2x 1013
May
0.8
1
1.2
1.4
1.6
1.8
2x 1013
June
4
6
8
10
12
14
16x 1012
July
0
5
10
15x 1012
August
2000 2020 2040 2060 2080 21000
2
4
6
8
10
12x 1012
September
2000 2020 2040 2060 2080 21000
5
10
15x 1012
October
2000 2020 2040 2060 2080 21000
0.5
1
1.5
2x 1013
November
2000 2020 2040 2060 2080 21000.5
1
1.5
2x 1013
December
Unit: m2
Time series of Arctic sea ice extent from RCP run. By including Bv, the ice-free will not appear in summer for RCP 6.0. It may appear at the end of 21st century for RCP8.5
4. Kuroshio simulation and prediction
Based on the climate model with surface wave, FIO-ESM, the volume transport of Kuroshio in the East China Sea is simulated and predicted.
1900 1950 2000 2050 2100
17
18
19
20
Year
Sv
HistoryRCP26RCP85
Summary
(1) The 8 years China-Japan cooperation on Kuroshio investigation during 1986-1993 greatly enhanced the scientific understanding of this western boundary current;
(2) The effects of Kuroshio on regional climate change should be an interesting topic which our institute will focus on, and joint research is highly expected.
Thank you for your attention