Community

Activities in Soil and Vegetation presented by A.Will (BTU Cottbus) and

Aerosols and Clouds Swen Metzger (MPI Chemistry, Mainz)

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1. Implementation of soil-vegetation model VEG3D

Cathérine Meißner and Gerd Schädler, University / Research Center KarlsruheVEG3D 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

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OBSERVATIONS TERRA_ML Veg3D mm

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

2. Coupling of Climate Local Model and Community Land ModelReto Stöckli, Sonia Seneviratne, ETH Zurich

Uncertainties of input parameters and their impact

on CLM simulationsDoctor Thesis of Alexander Block

Chair for Environmental Meteorology, BTU Cottbus

Presented by Andreas Will

Motivation

DWD

GKSS

ECOCLIMAP

EFAI

Maximum LAI

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

UncertaintiesWLLAI30

Uncertainty soiltype parameters (BK): +/- 20%

Diff: ECOCLIMAP

H

Year

E

Year

T_2m

Year

T_2m

July

LAI30-Ref: yearly average

H E

H E

LAI30-Ref: May averageH E

Area mean differencesIBE (LAI30) SCA (LAI30)

Relative water content in LAI30Level 1, June Level 1, October

IBE SCA

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[%] [%]

1 2 3 4 5 6 7 8 9 10 11 12

wl,root – water content of rooting zone

Evapotranspiration in Scandinavia

evaporation and transpiration counterbalance each other at soil water contents above 50%

BK-Ref: July averageH E

WL-Ref: yearly average

QS QL

H E

Diff: T2m yearly averageLAI30 BK

Diff: T2m monthly averageLAI30

May

BK

July

Uncertainty rangesT2m DTR

LAN IBE SCA H [W m-2] 0,8 2,6 1,1 E [W m-2] 1,4 3,0 0,8 QS [W m-2] 2,0 2,8 2,5 QL [W m-2] 2,0 2,0 3,1 T2m [K] 0,1 0,4 0,1 DTR [K] 0,4 1,0 0,7

LAN IBE SCA H [W m-2] 3,6 13,1 5,5 E [W m-2] 4,6 22,3 4,3 QS [W m-2] 7,4 6,2 20,4 QL [W m-2] 6,1 9,2 10,0 T2m [K] 0,7 1,5 0,9 DTR [K] 1,0 2,8 1,7

Yearly average Monthly average

Uncertainty ranges

Latent heat flux, Year Latent heat flux, June

Percentage of uncertainty range on absolute value