HR: 1340h
AN: A13D-1511    [Abstracts]
TI: High Resolution Simulation of the Atmospheric Greenhouse Gases Variability with a Largangian Particle Dispersion Model
AU: * Koyama, Y
EM: koyama.yuji@nies.go.jp
AF: National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, 305-8506, Japan
AU: Maksyutov, S
EM: shamil@nies.go.jp
AF: National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, 305-8506, Japan
AU: Tohjima, Y
EM: tohjima@nies.go.jp
AF: National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, 305-8506, Japan
AU: Mukai, H
EM: lnmukaih@nies.go.jp
AF: National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, 305-8506, Japan
AU: Machida, T
EM: tmachida@nies.go.jp
AF: National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, 305-8506, Japan
AB: Our study focuses on evaluating the merit of using the Lagrangian particle dispersion models for resolving the atmospheric composition variability at time scale of several hours and spatial scales of tenth of kilometers, which is necessary in analysis of continuous ground based monitoring and upcoming space based observation data. Using LPDM is an attractive way to increase the horizontal resolution of fluxes, and has been tested on atmospheric chemistry studies. The backward plume transport approach is more efficient for precalculation of transport matrixes for limited number of observations. Once backward plume transport is calculated, one can carry out forward calculation for any neutral tracer. As part of the effort, we simulate daytime CO2 concentration variations with FLEXPART model at five West-Siberian stations for year 2005 and 3-hourly CO2 and CH4 concentration variations at Hateruma, Japan, from year 2000 to year 2006. Concentration variations calculated by FLEXPART are compared with those calculated by NIES global atmospheric tracer transport model, and with observations. In West-Siberia, seasonal CO2 variations are reproduced in both model results, but FLEXPART shows better agreement with observations than NIES model at synoptic scale, especially in autumn to spring period, when the PBL height is shallower. However, several peaks in observations are not reproduced by both models. Summer time simulations show good resemblance between both models and observations, with LPDM showing better time resolution. In simulation of Hateruma data, we focus attention on CO2 and CH4 concentration variations during winter (late December to early April). Contrary to simulations over Siberia in summer, the observed short-term (synoptic scale) CO2/CH4 concentrations variations appear much stronger in observation than in the NIES model simulation. On the other hand synoptic scale variations of CO2 and CH4 are fairly well reproduced in LPDM simulation, while still there are numerous problems with timing and amplitude of spikes. Nevertheless the results demonstrated feasibility of using LPDM for analyzing continuous observations and showed advantage over using the Eulerian-type models.
DE: 0315 Biosphere/atmosphere interactions (0426, 1610)
DE: 0322 Constituent sources and sinks
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting