HR: 0800h
AN: B31B-0225    [Abstracts]
TI: Sensitivity of key climate parameters to global NPP using a process-based model integrated with remote sensing data
AU: * Baruah, P J
EM: pjbaruah@iis.u-tokyo.ac.jp
AF: The University of Tokyo, Yasuoka Lab. Institute of Industrial Science (IIS) 1-6-4 Komaba, Meguro-ku, Tokyo, 153-8505 Japan
AU: Dye, D
EM: dye@jamstec.go.jp
AF: Frontier Research Center for Global Change, Ecosystems Change Research Group 3173-25 Showamachi, Kanazawa-ku, Kanagawa, Yokohama, 236-0001 Japan
AU: Itoh, A
EM: itoh@jamstec.go.jp
AF: Frontier Research Center for Global Change, Ecosystems Change Research Group 3173-25 Showamachi, Kanazawa-ku, Kanagawa, Yokohama, 236-0001 Japan
AU: Yoshifumi, Y
EM: yyasuoka@iis.u-tokyo.ac.jp
AF: The University of Tokyo, Yasuoka Lab. Institute of Industrial Science (IIS) 1-6-4 Komaba, Meguro-ku, Tokyo, 153-8505 Japan
AB: A sensitivity analysis is performed for the terrestrial carbon cycle model SimCYCLE upon integration with the MODIS sensor derived LAI (Leaf Area Index). The analysis is carried in two different phases based on the objectives. The first phase consists of simple analysis involving key climatic parameters driving the model by simply varying each of the parameter independently and analyzing the latitude-wise and biome-wise changes to locate any untoward effects on the model upon `nudging' with the MODIS-LAI. The results from the first phase produced expected global estimates. However, the biome-wise analysis was able to point out the possible mismatch between remote sensing derived LAI and the old landcover map used in SimCYCLE, which has been good enough for estimating potential NPP (Net Primary Production). This led to tuning of the model to a new landcover product. The objective of the second phase of sensitivity analysis is to see the effectiveness of the model to diagnose the changing climate change and land cover scenarios. Decadal global change patterns were used to analyze the sensitivity of NPP to changing air temperature, surface temperature, precipitation and cloud cover, both biome-wise and across latitudes with emphasis on tropical and boreal regions. Cloud cover, which essentially represents the amount of radiation received by vegetation, is found to be the most sensitive parameter for global estimates of NPP. For landcover, several recent global landcover products have been considered and the differences in NPP estimates while using them in the model presents the sensitivity of landcover on global NPP estimates.
DE: 0400 Biogeosciences
SC: Biogeosciences [B]
MN: 2004 AGU Fall Meeting