ID-333 : optimizaing CO2 and CH4 fluxes by the ecosystem model, VISIT, using observed flux data
Type
MODEL
Title
optimizaing CO2 and CH4 fluxes by the ecosystem model, VISIT, using observed flux data
Abstract
The process based ecosystem model was validated with CO2 and CH4 fluxes data that were observed at black spruce forest
Model Characteristics
Process-based ecosystem model, VISIT
Computing Environment
Laptop PC, Windows 10
Principal Investigator
Masahito Ueyama
Osaka Prefecture University Graduate School of Life and Environmental Sciences
ueyama@envi.osakafu-u.ac.jp
Data Information
Model Name
VISIT
Abstract (Brief description of the experiment contents (initial conditions, boundary conditions, etc.))
For better simulating greenhouse gas fluxes, the CO2 and CH4 fluxes by the process-based model, VISIT, were optimized using observed data at a black spruce forest in Fairbanks, AK. The model was modified for better simulating soil temperature and water table depth by coupled the heat conduction model and the tank model, respectively. The model was driven using CRUNCEP climate data, and the modeled fluxes was optimized with a differential evolution method.
Temporal Extent
| Begin Date | 2012-01-01 |
| End Date | 2016-12-31 |
| Temporal Characteristics | daily |
Geographic Bounding Box
| North bound latitude | 64.86627 |
| West bound longitude | -147.85553 |
| Eastbound longitude | -147.85553 |
| South bound latitude | 64.86627 |
Data Information
Personnel
| Roll | Contact Person | Name | Masahito Ueyama | Affiliation | Osaka Prefecture University Graduate School of Life and Environmental Sciences | Country | Japan | ueyama@envi.osakafu-u.ac.jp |
|---|
Data Registration
02:10 on Thu May 30, 2019
Last Update
08:05 on Mon June 3, 2019