Testing the importance of accurate meteorological input fields and parameterizations in atmospheric transport modelling using dream - validation against ETEX-1

1998 ◽  
Vol 32 (24) ◽  
pp. 4167-4186 ◽  
Author(s):  
Jørgen Brandt ◽  
Annemarie Bastrup-birk ◽  
Jesper H. Christensen ◽  
Torben Mikkelsen ◽  
Søren Thykier-Nielsen ◽  
...  
Keyword(s):  
Atmospheric Transport ◽  
Transport Modelling ◽  
Atmospheric Transport Modelling ◽  
Meteorological Input

scholarly journals Verification of greenhouse gas emission reductions: the prospect of atmospheric monitoring in polluted areas

2011 ◽  
Vol 369 (1943) ◽  
pp. 1906-1924 ◽  
Author(s):  
Ingeborg Levin ◽  
Samuel Hammer ◽  
Elke Eichelmann ◽  
Felix R. Vogel
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Catchment Area ◽  
Greenhouse Gas Emission ◽  
Atmospheric Transport ◽  
Atmospheric Measurements ◽  
Transport Modelling ◽  
Gas Emissions ◽  
Atmospheric Transport Modelling

Independent verification of greenhouse gas emissions reporting is a legal requirement of the Kyoto Protocol, which has not yet been fully accomplished. Here, we show that dedicated long-term atmospheric measurements of greenhouse gases, such as carbon dioxide (CO 2 ) and methane (CH 4 ), continuously conducted at polluted sites can provide the necessary tool for this undertaking. From our measurements at the semi-polluted Heidelberg site in the upper Rhine Valley, we find that in the catchment area CH 4 emissions decreased on average by 32±6% from the second half of the 1990s until the first half of the 2000s, but the observed long-term trend of emissions is considerably smaller than that previously reported for southwest Germany. In contrast, regional fossil fuel CO 2 levels, estimated from high-precision 14 CO 2 observations, do not show any significant decreasing trend since 1986, in agreement with the reported emissions for this region. In order to provide accurate verification, these regional measurements would best be accompanied by adequate atmospheric transport modelling as required to precisely determine the relevant catchment area of the measurements. Furthermore, reliable reconciliation of reported emissions will only be possible if these are known at high spatial resolution in the catchment area of the observations. This information should principally be available in all countries that regularly report their greenhouse gas emissions to the United Nations Framework Convention on Climate Change.

Evaluation of High-Resolution Atmospheric Transport Modelling within the framework of the CTBT with Xe-133 observations in Germany and stack emission data from medical isotope production

2021 ◽  
Author(s):  
Jolanta Kusmierczyk-Michulec ◽  
Anne Tipka ◽  
Martin Kalinowski
Keyword(s):  
High Resolution ◽  
Atmospheric Transport ◽  
International Monitoring System ◽  
Isotope Production ◽  
Emission Data ◽  
Transport Modelling ◽  
Atmospheric Transport Modelling ◽  
Computational Performance ◽  
International Monitoring ◽  
Medical Isotope

<p>For every atmospheric radionuclide sample taken by the International Monitoring System (IMS) of the Comprehensive Nuclear-Test-Ban Treaty Organisation (CTBTO), the CTBTO makes use of operational Atmospheric Transport Modelling (ATM) to assist States Signatories in localization of possible source regions of any measured substance. Currently, ATM is accomplished by using the Lagrangian particle dispersion model (LPDM) FLEXPART driven by global meteorological fields with a spatial resolution of 0.5 degrees and 1 hourly temporal resolution. Meteorological fields are provided by the European Centre for Medium-Range Weather Forecasts (ECMWF ) and the National Centers for Environmental Prediction (NCEP).  </p><p>Recent studies to increase the accuracy in the CTBTO’s localization process to be applied for specific detection events, utilizes High-Resolution Atmospheric Transport Modelling (HRATM) by using the Weather Research and Forecasting model (WRF) to generate high-resolution meteorological input data for the LPDM version Flexpart-WRF.   </p><p>This presentation uses measurements from the International Monitoring System (IMS) station DEX33 in Germany of seven episodes of elevated Xe-133 concentrations in 2014 in combination with with the stack emission data of the medical isotope production facility IRE in Fleurus, Belgium. Each episode consists of 6 to 11 subsequent 24-hour samples. Backward simulations for each sample are conducted and the sensitivity to the stack emission data are analysed. All samples determined to represent a detection of IRE releases are selected to be used for an evaluation study. </p><p>Evaluating the CTBTO’s utilization of HRATM requires to investigate the ability to localize the source region as well as the accuracy of the match and the computational performance to accomplish these results. The evaluation of HRATM results is done by using statistical metrics established during former ATM challenges. Concerning the computational performance and to account for uncertainties, sensitivity studies with varying spatial resolutions, physical parameterization variations and different regional domain setups for WRF were accomplished. This comprises a reference comparison to the operational ATM FLEXPART model with an increased spatial resolution to 0.1 degrees.   </p>

scholarly journals Statistical atmospheric inversion of local gas emissions by coupling the tracer release technique and local-scale transport modelling: a test case with controlled methane emissions

2017 ◽  
Vol 10 (12) ◽  
pp. 5017-5037 ◽  
Author(s):  
Sébastien Ars ◽  
Grégoire Broquet ◽  
Camille Yver Kwok ◽  
Yelva Roustan ◽  
Lin Wu ◽  
...  
Keyword(s):  
Transport Model ◽  
Atmospheric Transport ◽  
Local Scale ◽  
Emission Rates ◽  
Gaussian Plume Model ◽  
Transport Modelling ◽  
Atmospheric Transport Modelling ◽  
Release Technique ◽  
Gaussian Plume ◽  
Atmospheric Concentrations

Abstract. This study presents a new concept for estimating the pollutant emission rates of a site and its main facilities using a series of atmospheric measurements across the pollutant plumes. This concept combines the tracer release method, local-scale atmospheric transport modelling and a statistical atmospheric inversion approach. The conversion between the controlled emission and the measured atmospheric concentrations of the released tracer across the plume places valuable constraints on the atmospheric transport. This is used to optimise the configuration of the transport model parameters and the model uncertainty statistics in the inversion system. The emission rates of all sources are then inverted to optimise the match between the concentrations simulated with the transport model and the pollutants' measured atmospheric concentrations, accounting for the transport model uncertainty. In principle, by using atmospheric transport modelling, this concept does not strongly rely on the good colocation between the tracer and pollutant sources and can be used to monitor multiple sources within a single site, unlike the classical tracer release technique. The statistical inversion framework and the use of the tracer data for the configuration of the transport and inversion modelling systems should ensure that the transport modelling errors are correctly handled in the source estimation. The potential of this new concept is evaluated with a relatively simple practical implementation based on a Gaussian plume model and a series of inversions of controlled methane point sources using acetylene as a tracer gas. The experimental conditions are chosen so that they are suitable for the use of a Gaussian plume model to simulate the atmospheric transport. In these experiments, different configurations of methane and acetylene point source locations are tested to assess the efficiency of the method in comparison to the classic tracer release technique in coping with the distances between the different methane and acetylene sources. The results from these controlled experiments demonstrate that, when the targeted and tracer gases are not well collocated, this new approach provides a better estimate of the emission rates than the tracer release technique. As an example, the relative error between the estimated and actual emission rates is reduced from 32 % with the tracer release technique to 16 % with the combined approach in the case of a tracer located 60 m upwind of a single methane source. Further studies and more complex implementations with more advanced transport models and more advanced optimisations of their configuration will be required to generalise the applicability of the approach and strengthen its robustness.

Comparison study for different approaches in applying High-Resolution Atmospheric Transport Modelling based on validation with Xe-133 observations in Europe

2020 ◽  
Author(s):  
Anne Philipp ◽  
Michael Schoeppner ◽  
Jolanta Kusmierczyk-Michulec ◽  
Pierre Bourgouin ◽  
Martin Kalinowski
Keyword(s):  
High Resolution ◽  
Observational Data ◽  
Input Data ◽  
Atmospheric Transport ◽  
Dispersion Model ◽  
Particle Dispersion ◽  
Comparison Study ◽  
Transport Modelling ◽  
Atmospheric Transport Modelling ◽  
Flexpart Model

<p>The International Data Centre (IDC) of the Comprehensive Nuclear-Test-Ban Treaty Organisation (CTBTO) investigates the best method to add the utilisation of High-Resolution Atmospheric Transport Modelling (HRATM) in their operational and automatised pipeline. Supporting the decision process, the IDC accomplished a comparison study with different approaches for applying HRATM. An initial validation study with the HRATM Flexpart-WRF, which is a Lagrangian particle dispersion model (LPDM), showed a performance which is dependent on the scenario and delivered results comparable to the conventional Flexpart model. The approach uses the Weather Research and Forecasting model (WRF) to generate high-resolution meteorological input data for Flexpart-WRF and WRF was driven by the National Centers for Environmental Prediction (NCEP) data having a horizontal resolution of 0.5 degrees and time resolution of 1h. Based on this initial study, an extended study was conducted to compare the results to FLEXPART-WRF using input data from the European Centre for Medium-Range Weather Forecasts  (ECMWF) for WRF and to results from the conventional Flexpart model using high-resolution ECMWF input data. Furthermore, a sensitivity study was performed to optimize the physical and computational parameters of WRF to test possible meteorological improvements prior to the comparison study.</p><p>The performance of the different approaches is evaluated by using observational data and includes statistical metrics which were established during the first ATM challenge in 2016. Observational data of seven episodes of elevated Xe-133 concentrations were selected from the IMS (International Monitoring System) noble gas system DEX33 located in Germany. Each episode consists of 6 to 11 subsequent samples with each sample being taken over 24 hours. Both Flexpart models were using the source terms from a medical isotope production facility in Belgium to simulate the resulting concentration time series at the DEX33 station for different output resolutions. Backward simulations for each sample were conducted, and in the case of Flexpart-WRF nested input of increased resolution around the source and receptor was used.</p><p>The simulated concentrations, as well as the measurements, are also compared to the simulated results produced by the conventional Flexpart model to guide the decision-making process.</p>

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