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Community
Activities in
Soil and Vegetation
presented by A.Will (BTU Cottbus) and
Aerosols and Clouds
Swen Metzger (MPI Chemistry, Mainz)
1. Implementation of soil-vegetation model VEG3D
Cathérine Meißner and Gerd Schädler, University / Research Center Karlsruhe
VEG3D is fully coupled with CLM version 4.0 and is being evaluated
Main differences between TERRA_LM and VEG3D:



Standard soil model of CLM (TERRA_LM) uses the surface temperature for transpiration calculation <-> VEG3D
has an explicit vegetation layer (“big leaf concept”) and simulates a vegetation temperature
Runoff from soil layers is organized differently in both models
Different formulation of water transport in soil and snow treatment
Additional parameters:

Land use => taken from the DWD Pep

Soil parameters => additional file in CLM code
First results:

Annual evapotranspiration sum more homogenous in VEG3D which agrees better with
measurements (figures)

Influence on annual preciptation in the range of 100 – 200 mm
6
650
TERRA_ML
49.5
49
48.5
48
47.5
latitude
latitude
49.5
49
48.5
Veg3D
600
mm
575
550
650
49.5
575
550
525 48.5
525
500
48
48
500 47.56.5
450
47.5
6
5
600
49
latitude
OBSERVATIONS
450
7
7.5
8
longitude
8.5
9
400
350
300
5
5
5
4
2. Coupling of Climate Local Model and Community Land Model
Reto Stöckli, Sonia Seneviratne, ETH Zurich
Community Land Model
• http://www.cgd.ucar.edu/tss/clm/
• community model
• used in Community Climate System
Model (CCSM)
Modules:
• Biogeophysics
• River routing
• Carbon cycle (plant physiology)
• Vegetation dynamics
• C/N model (nutrients)
• Dust, VOCs
Uncertainties of input
parameters and their impact
on CLM simulations
Doctor Thesis of Alexander Block
Chair for Environmental Meteorology, BTU Cottbus
Presented by Andreas Will
Motivation
Maximum LAI
DWD
GKSS
ECOCLIMAP
EFAI
Simulations
•
•
•
•
•
•
•
•
•
•
LAI30: Leaf area index (LAI-LAI*0.3)
LAIECO: Leaf area index (ECOCLIMAP)
PLCOV: Plant cover (ECOCLIMAP)
ROOTDP: Root depth (ECOCLIMAP)
ALBVEG: Vegetation Albedo (ECOCLIMAP)
WL: Thermal Conductivity dependent on water content
RS: Stomata resistance
BK: Soiltype parameters
GKSS: Plant cover, LAI, soiltype
ECO: Plant cover, LAI, vegetation Albedo, root depth
Model setup
•
•
•
•
Version LM3.19
ERA40 boundary data
1 year (1987)
1/6°, 193x217 GP, 20
vertical levels
• 10 soil levels
• dt=90s
LAN
Uncertainties
LAI30
WL
Uncertainty soiltype parameters (BK): +/- 20%
Diff: ECOCLIMAP
H
T_2m
Year
Year
E
T_2m
Year
July
LAI30-Ref: yearly average
H
H
E
E
LAI30-Ref: May average
H
E
Area mean differences
IBE (LAI30)
SCA (LAI30)
Relative water content in LAI30
Level 1, June
Level 1, October
IBE
SCA
[%]
[%]
1
2
3
4
5
6
7
8
9
10
11
12
1
2
3
4
5
6
7
8
9
10
11
12
Evapotranspiration in Scandinavia
wl,root – water content of rooting zone
evaporation and transpiration counterbalance each other at
soil water contents above 50%
BK-Ref: July average
H
E
WL-Ref: yearly average
H
QS
E
QL
Diff: T2m yearly average
LAI30
BK
Diff: T2m monthly average
LAI30
BK
May
July
Uncertainty ranges
T2m
DTR
Yearly average
-2
H [W m ]
-2
E [W m ]
-2
Q S [W m ]
-2
Q L [W m ]
T 2 m [K ]
D T R [K ]
LAN
0,8
1,4
2,0
2,0
0,1
0,4
IB E
2,6
3,0
2,8
2,0
0,4
1,0
SCA
1,1
0,8
2,5
3,1
0,1
0,7
Monthly average
-2
H [W m ]
-2
E [W m ]
-2
Q S [W m ]
-2
Q L [W m ]
T 2 m [K ]
D T R [K ]
LAN
3,6
4,6
7,4
6,1
0,7
1,0
IB E
13,1
22,3
6,2
9,2
1,5
2,8
SCA
5,5
4,3
20,4
10,0
0,9
1,7
Uncertainty ranges
Latent heat flux, Year
Latent heat flux, June
Percentage of uncertainty range on absolute value
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