Arctic Research Directory

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 Date2012-01-01
End Date2016-12-31
Temporal Characteristicsdaily
Geographic Bounding Box
North bound latitude64.86627
West bound longitude-147.85553
Eastbound longitude-147.85553
South bound latitude64.86627
Data Information
Simulated CO2 and CH4 flux data

Personnel

RollContact PersonNameMasahito UeyamaAffiliationOsaka Prefecture University Graduate School of Life and Environmental SciencesCountryJapanEmailueyama@envi.osakafu-u.ac.jp
Data Registration
11:10 on Thu May 30, 2019
Last Update
17:05 on Mon June 3, 2019