Searched for: author:"Lu, S."
(1 - 7 of 7)
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Fu, G. (author), Xiang Lin, H. (author), Heemink, A. (author), Lu, S. (author), Segers, A. (author), van Velzen, N. (author), Lu, T. (author), Xu, S. (author)
In this study, we investigate a strategy to accelerate the data assimilation (DA) algorithm. Based on evaluations of the computational time, the analysis step of the assimilation turns out to be the most expensive part. After a study of the characteristics of the ensemble ash state, we propose a mask-state algorithm which records the sparsity...
article 2017
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Manders, A.M.M. (author), Builtjes, P.J.H. (author), Curier, L. (author), Denier van der Gon, H.A.C. (author), Hendriks, C. (author), Jonkers, S. (author), Kranenburg, R. (author), Kuenen, J.J.P. (author), Segers, A.J. (author), Timmermans, R.M.A. (author), Visschedijk, A.J.H. (author), Wichink Kruit, R.J. (author), van Pul, W.A.J. (author), Sauter, F.J. (author), van der Swaluw, E. (author), Swart, D.P.J. (author), Douros, J. (author), Eskes, H. (author), van Meijgaard, E. (author), van Ulft, B. (author), van Velthoven, P. (author), Banzhaf, S. (author), Mues, A.C. (author), Stern, R. (author), Fu, G. (author), Lu, S. (author), Heemink, A. (author), van Velzen, N. (author), Schaap, M. (author)
The development and application of chemistry transpor tmodels has a long tradition. Within the Netherlands the LOTOS–EUROS model has been developed by a consortium of institutes, after combining its independently developed predecessors in 2005. Recently, version 2.0 of the model was released as an open-source version. This paper presents the...
article 2017
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Lu, S. (author), Heemink, A. (author), Lin, H.X. (author), Segers, A. (author), Fu, G. (author)
Remote sensing, as a powerful tool for monitoring atmospheric phenomena, has been playing an increasingly important role in inverse modeling. Remote sensing instruments measure quantities that often combine several state variables as one. This creates very strong correlations between the state variables that share the same observation variable....
article 2017
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Fu, G. (author), Prata, F. (author), Xiang Lin, H. (author), Heemink, A. (author), Segers, A. (author), Lu, S. (author)
Using data assimilation (DA) to improve model forecast accuracy is a powerful approach that requires available observations. Infrared satellite measurements of volcanic ash mass loadings are often used as input observations for the assimilation scheme. However, because these primary satellite-retrieved data are often two-dimensional (2-D) and...
article 2017
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Fu, G. (author), Heemink, A. (author), Lu, S. (author), Segers, A. (author), Weber, K. (author), Lin, H.X. (author)
The forecast accuracy of distal volcanic ash clouds is important for providing valid aviation advice during volcanic ash eruption. However, because the distal part of volcanic ash plume is far from the volcano, the influence of eruption information on this part becomes rather indirect and uncertain, resulting in inaccurate volcanic ash forecasts...
article 2016
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Lu, S. (author), Lin, H.X. (author), Heemink, A. (author), Segers, A. (author), . Fu, G. (author)
In this paper, we reconstruct the vertical profile of volcanic ash emissions by assimilating satellite data and ground-based observations using a modified trajectory-based 4D-Var (Trj4DVar) approach. In our previous work, we found that the lack of vertical resolution in satellite ash column data can result in a poor estimation of the injection...
article 2016
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Fu, G. (author), Lin, H.X. (author), Heemink, A.W. (author), Segers, A.J. (author), Lu, S. (author), Palsson, T. (author)
The 2010 Eyjafjallajökull volcano eruption had serious consequences to civil aviation. This has initiated a lot of research on volcanic ash transport forecast in recent years. For forecasting the volcanic ash transport after eruption onset, a volcanic ash transport and diffusion model (VATDM) needs to be run with Eruption Source Parameters (ESP)...
article 2015
Searched for: author:"Lu, S."
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