TY  - CONF
AU  - Liu, M.
AU  - Huang, Y.
AU  - Hoffmann, Lars
AU  - Huang, C.
AU  - Chen, P.
AU  - Heng, Y.
TI  - High-Resolution Source Estimation of Volcanic Sulfur Dioxide Emissions Using Large-Scale Transport Simulations
VL  - 12139
CY  - Cham
PB  - Springer
M1  - FZJ-2020-03185
T2  - Lecture Notes in Computer Science
SP  - 60-73
PY  - 2020
AB  - High-resolution reconstruction of emission rates from different sources is essential to achieve accurate simulations of atmospheric transport processes. How to achieve real-time forecasts of atmospheric transport is still a great challenge, in particular due to the large computational demands of this problem. Considering a case study of volcanic sulfur dioxide emissions, the codes of the Lagrangian particle dispersion model MPTRAC and an inversion algorithm for emission rate estimation based on sequential importance resampling are deployed on the Tianhe-2 supercomputer. The high-throughput based parallel computing strategy shows excellent scalability and computational efficiency. Therefore, the spatial-temporal resolution of the emission reconstruction can be improved by increasing the parallel scale. In our study, the largest parallel scale is up to 1.446 million compute processes, which allows us to obtain emission rates with a resolution of 30 min in time and 100 m in altitude. By applying massive-parallel computing systems such as Tianhe-2, real-time source estimation and forecasts of atmospheric transport are becoming feasible.
T2  - International Conference on Computational Science 2020
CY  - 3 Jun 2020 - 5 Jun 2020, Amsterdam (The Netherlands)
Y2  - 3 Jun 2020 - 5 Jun 2020
M2  - Amsterdam, The Netherlands
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
UR  - <Go to ISI:>//WOS:000841756000005
DO  - DOI:10.1007/978-3-030-50420-5_5
UR  - https://juser.fz-juelich.de/record/884299
ER  -