2003
DOI: 10.1016/s1352-2310(03)00154-7
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Atmospheric transport modelling in support of CTBT verification—overview and basic concepts

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Cited by 88 publications
(58 citation statements)
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“…1). In this context, it could be interesting to make use of backward transport calculations carried out routinely by the Comprehensive Nuclear Test Ban Treaty Organisation (CTBTO/PrepCom) for its global network of radionuclide monitoring stations (Wotawa et al, 2003;Becker et al, 2007). This network is also interesting because at these sites the necessary infrastructure is already available.…”
Section: Discussionmentioning
confidence: 99%
“…1). In this context, it could be interesting to make use of backward transport calculations carried out routinely by the Comprehensive Nuclear Test Ban Treaty Organisation (CTBTO/PrepCom) for its global network of radionuclide monitoring stations (Wotawa et al, 2003;Becker et al, 2007). This network is also interesting because at these sites the necessary infrastructure is already available.…”
Section: Discussionmentioning
confidence: 99%
“…The suite consists of four layers (see Figure 5), namely the retrieval of gridded meteorological analysis data from international weather centers (layer 1), the inhouse calculation of source-receptor sensitivity (SRS) fields with backward runs of Lagrangian Particle Diffusion Models (LPDMs; layer 2), the postprocessing of SRS fields regarding source hypotheses and assumptions (layer 3) and the graphical user product generation (layer 4). To define the SRS concept as utilized by CTBTO/PTS [23], let us consider the activity concentration c of one specific radionuclide measured within one sample taken during 24 h at one single radionuclide station operated within the International Monitoring System. Then, c [Bqm 23 ] can be simply expressed as sum of the products of a spatio-temporal source field (emission inventory) S [Bq] and a corresponding source-receptor sensitivity (SRS) field M [m 23 ] at discrete locations (i,j) and time intervals n as follows:…”
Section: O M P L E X I T Y 95mentioning
confidence: 99%
“…In case a 1, the emission model's source strength is too low, and in case a 1 it is too high. An application example based on single-source hypotheses can be found in Wotawa et al [23] and is repeated in Figure 6. Other examples based on gridded emission inventories are provided by Wotawa et al…”
Section: O M P L E X I T Y 95mentioning
confidence: 99%
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“…Thus, when radioxenon levels are considered in conjunction with the history of the particular airshed that transported them, stronger predictions can be made. Indeed, similar techniques utilizing background radioxenon statistics and inverse modelling are applied to manually assess the likelihood of a detonation and its probable location [4]. While [2] demonstrated that a wind direction feature indicating the direction to the emission source could greatly improve the classification of clandestine nuclear explosions, it did not provide an in-depth exploration of how such estimates might be acquired, or the type of error that may be involved in "real world" estimates.…”
Section: Motivationmentioning
confidence: 99%