Satellite-driven estimation of terrestrial carbon flux over Far East Asia with 30-second grid resolution
Abstract
The terrestrial carbon cycle is strongly affected by local natural phenomena and local human-induced activities that alter carbon exchange via vegetation and soil activities. In order to accurately understand terrestrial carbon cycle mechanisms, it is necessary to estimate spatial and temporal variations in carbon flux and storage using process-based models with the highest possible resolution. We estimated terrestrial carbon fluxes using the biosphere model integrating eco-physiological and mechanistic approaches using Satellite data (BEAMS) and satellite observations with 30-second grid resolution. The study area is the central Far East Asia region, which lies between 30 degree and 50 degree north latitude and 125 degree and 150 degree east longitude. Aiming to simulate terrestrial carbon exchanges under realistic land surface conditions, we applied as many satellite-observation means as possible, such as the standard MODIS, TRMM, and SRTM high-level land products. Validated using gross primary productivity (GPP), net ecosystem production (NEP), net radiation and latent heat with ground measurements at six flux sites, the model estimations showed reasonable seasonal and annual patterns. In extensive analysis, total amounts of GPP and NPP were determined to be 2.1 PgC/year and 0.9 PgC/year. The total NEP estimate was +5.6 TgC/year, meaning that the land area played a role as a carbon sink for these six years. In analyses of areas with complicated topography, the 30-second grid estimation could prove to be an effective product to evaluate the effect of landscape on the terrestrial carbon cycle. The method presented here is an appropriate approach to gain a better understanding of terrestrial carbon exchange, both spatially and temporally.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2010
- Bibcode:
- 2010AGUFM.B41I0432S
- Keywords:
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- 0400 BIOGEOSCIENCES;
- 0428 BIOGEOSCIENCES / Carbon cycling;
- 0439 BIOGEOSCIENCES / Ecosystems;
- structure and dynamics;
- 0480 BIOGEOSCIENCES / Remote sensing