Japan Geoscience Union Meeting 2016

Presentation information

International Session (Oral)

Symbol A (Atmospheric and Hydrospheric Sciences) » A-CG Complex & General

[A-CG09] Development and application of land and ocean biogeochemistry components of Earth system models

Mon. May 23, 2016 3:30 PM - 5:00 PM 102 (1F)

Convener:*Michio Kawamiya(Japan Agency for Marine-Earth Science and Technology), Kaoru Tachiiri(Japan Agency for Marine-Earth Science and Technology), Tomohiro Hajima(Japan Agency for Marine-Earth Science and Technology), Vivek Arora(Canadian Centre for Climate Modelling and Analysis), Chair:Vivek Arora(Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada)

4:00 PM - 4:15 PM


*Sitch Alexander Stephen1 (1.University of Exeter)

Keywords:land-atmosphere interactions, DGVMs, climate-carbon cycle models

Sitch, S. (1) and the TRENDY DGVM consortium, (1) University of Exeter, UK.
Each year a consortium of Dynamic Global Vegetation Modelling groups perform a factorial set of global simulations over the historical period, 1901 – present, to investigate the temporal and spatial trends in the land sink, and the contribution of land-use to emissions. This activity contributes the annual global carbon budget updates of the Global Carbon Project. Typical around 10 models are forced with reconstructed observed climate, global atmospheric CO2, gridded fields of historical land-use and land cover changes (LULCC), and nitrogen deposition for a subset of models which include a fully interactive nitrogen cycle. The TRENDY project will be presented, including process developments through to the latest Trendy-v4 (1901-2014). Results are used to ascertain the individual contribution of CO2, Climate, Land-Use and N deposition on the regional and global land carbon sink. Increasingly offline land surface simulations and coupled ESM simulations use the same land-surface components and results from each can inform the other. Both TRENDY and C4MIP have increasing interest in evaluation activities. Furthermore, observational datasets including those from remote sensing are used to evaluate model performance and help constrain the global land carbon sink over the past two decades.