1 / 20

VEG3D is fully coupled with CLM version 4.0 and is being evaluated

Community Activities in Soil and Vegetation presented by A.Will (BTU Cottbus) and Aerosols and Clouds Swen Metzger (MPI Chemistry, Mainz). VEG3D is fully coupled with CLM version 4.0 and is being evaluated Main differences between TERRA_LM and VEG3D:

pearl
Télécharger la présentation

VEG3D is fully coupled with CLM version 4.0 and is being evaluated

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. CommunityActivities inSoil and Vegetation presented by A.Will (BTU Cottbus) andAerosols and CloudsSwen Metzger (MPI Chemistry, Mainz)

  2. 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 1. Implementation of soil-vegetation model VEG3DCathérine Meißner and Gerd Schädler, University / Research Center Karlsruhe 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 OBSERVATIONS TERRA_ML Veg3D mm

  3. 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

  4. 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

  5. Motivation Maximum LAI DWD ECOCLIMAP GKSS EFAI

  6. 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

  7. Model setup • Version LM3.19 • ERA40 boundary data • 1 year (1987) • 1/6°, 193x217 GP, 20 vertical levels • 10 soil levels • dt=90s LAN

  8. Uncertainties LAI30 WL Uncertainty soiltype parameters (BK): +/- 20%

  9. Diff: ECOCLIMAP H Year T_2m Year E Year T_2m July

  10. LAI30-Ref: yearly average H E E H

  11. LAI30-Ref: May average H E

  12. Area mean differences IBE (LAI30) SCA (LAI30)

  13. 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

  14. Evapotranspiration in Scandinavia wl,root – water content of rooting zone evaporation and transpiration counterbalance each other at soil water contents above 50%

  15. BK-Ref: July average H E

  16. WL-Ref: yearly average H E QS QL

  17. Diff: T2m yearly average BK LAI30

  18. Diff: T2m monthly average LAI30 May BK July

  19. Uncertainty ranges T2m DTR Yearly average Monthly average

  20. Uncertainty ranges Latent heat flux, Year Latent heat flux, June Percentage of uncertainty range on absolute value

More Related