a progress with pt mire alla yurova hydrometcentre of russia
TRANSCRIPT
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A progress with PT MireAlla Yurova
Hydrometcentre of Russia
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Priority task: mire parameterization
Ground water
Modified TERRA MMWH modelRg, Rs
Latent heat flux (LHF)parameterizationWater content (WC)
LHFThermal conductivitydependency on WC
Surface fluxes and soil temperatureverification SCLM
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External parameter database:mire distribution. Example of St Petersburg region
COSMO, soil_type=8 TERRA satellite image processing (Bartalev et al)
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00.10.20.30.40.50.60.70.80.9
0.25 0.5 0.75 1
normalizad water content
ther
mal
con
duct
ivity
, W
m-1
K-1 model meas
00.10.20.30.4
0.50.60.70.80.9
0.25 0.5 0.75 1
normalized water content
ther
mal
con
duct
ivity
, W
m-1
K-1
model meas
Peat thermal conductivity as a function of normalized water content: a) as in original TERRA parameterization, b) according to new parameterization and observed.
Peat thermal conductivity
Johansen equation from TERRA used. Peat-specific parameters from Lawrence and Slater(2007), reverse problem solved to obtain Kersten number as a function of water content
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Formulation for the shallow WT
W=Fleff-q,GW=- W(sat-)q=lq·i·K_h(zcat-zwt),
W, -water content, Fleff- gravitational water flux from the layer above minus capillary rise, q-runoff, sat-porosity,i-slope of the water table,·K_h-transmissivity coefficient, lq-lumped parameter
WTWeighted average between saturated and unsaturated water content in the layer Zk goesTo Richards’ equation
Zk
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Results: water content in soil . March 2011
2
3
4
5
6
7
8
9
0 1 2
WC
lay
er
t=1
t=2
t=3
t=4
t=5
2
3
4
5
6
7
8
9
0 1 2
WC
laye
r
t=1
t=2
t=3
t=4
t=5
Ground water parameterizationGWstart=1.5 m
Standard run
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,,1
,)()()(, 33
2210
Lwt
LwtLwtLwtLwt
zzif
zzifzzszzszzssmmPETET
25,617.0
6525,53.0
65,427.0
wt
wt
wt
zifPETET
zifPETET
zifPETET1
2
ET-evapotranspirationРЕТ-potential ET
y = -0.1671x2 + 8.2973x - 27.163R2 = 0.9863
0102030405060708090
20 25 30 35 40
WTD, cm
mea
n E
T,
WT
/m2 Measurements at Degero
Stormyr mire, summer 2008
Evapotranspiration parameterization
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Results: surface fluxes at Degero Stormyr mire, July 2008, SCLM simulations
020406080
100120140
H LE
mea
n f
lux,
W/m
2
meas mod
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Results: Bowen ratio Degero Stormyr mire, July 2008, SCLM simulations
-2.5
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
2.5
01
.07
.08
0:0
0
01
.07
.08
13
:00
02
.07
.08
2:0
0
02
.07
.08
15
:00
03
.07
.08
4:0
0
03
.07
.08
17
:00
04
.07
.08
6:0
0
04
.07
.08
19
:00
05
.07
.08
8:0
0
05
.07
.08
21
:00
06
.07
.08
10
:00
06
.07
.08
23
:00
07
.07
.08
12
:00
08
.07
.08
1:0
0
08
.07
.08
14
:00
09
.07
.08
3:0
0
09
.07
.08
16
:00
10
.07
.08
5:0
0
10
.07
.08
18
:00
11
.07
.08
7:0
0
11
.07
.08
20
:00
12
.07
.08
9:0
0
12
.07
.08
22
:00
13
.07
.08
11
:00
14
.07
.08
0:0
0
14
.07
.08
13
:00
15
.07
.08
2:0
0
15
.07
.08
15
:00
16
.07
.08
4:0
0
measmodel
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Results: soil temperature at 2 cm Degero Stormyr mire, July 2008, SCLM simulations.
Effect of initialization
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Results: soil temperature at 2 cm Degero Stormyr mire, July 2008, SCLM simulations.
Effect of hydraulic diffusivity in the upper peat layer
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2m temperature difference between the modified (with the mire parameterization) and the standard COSMO model. 36h forecast, starting at 00 UTC, 10 August 2011, COSMO-RU domain
Results of the tests with the mire parameterization in the 3D COSMO model
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Conclusions
• In many areas in Russia mires are more numerous then indicated by soil_type=8
• The parameterization of soil water is very sensitive to initial conditions
• More advanced parameterization is needed for the vertical structure of hydraulic conductivity and diffusivity
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Additional ideas arisen from the PT
• Varying depth lower boundary conditions could be use for the whole hydrophobic-dry soil gradient
• …but initialization scheme should be use to assimilate ground water depth data
• Draining and rewetting mires changes the regional climate
• Rice paddies are significant modifiers of the temperature regime in Asia
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Thanks for cooperation and your attention!