The European Tracer Experiment Description and Summary of the ETEX Project

Girardi, F.; Graziani, Gabriela; Klug, W.; Nodop, Katrin

doi:10.1007/978-1-4757-9128-0_78

Cited by 8 publications

(5 citation statements)

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“…A complete description of this system can be found in Bacon et al [10]. Boybeyi et al [11] presents details of the OMEGA ADM and the results of an extensive model evaluation against data from the European Tracer Experiment (ETEX) [15,16]. Gopalakrishnan et al [12] presents the application of OMEGA, including dynamic adaptation, to hurricane track forecasting and a comparison against observations for 20 forecasts covering 8 storms.…”

Section: Adaptive Unstructured Gridsmentioning

confidence: 99%

Application of the multidimensional positive definite advection transport algorithm (MPDATA) to environmental modelling on adaptive unstructured grids

Ahmad

Bacon

Hall

et al. 2005

Numerical Methods in Fluids

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Twenty years ago, the multidimensional, positive deÿnite, advection transport algorithm was introduced by Smolarkiewicz. Over the two decades since, it has been applied countless times to numerous problems, however almost always on rectilinear grids. One of the few exceptions is the Operational Multiscale Environment model with Grid Adaptivity (OMEGA), an atmospheric simulation system originally designed to simulate atmospheric dispersion in the planetary boundary layer, but since then used for both mesoscale (from meso-to meso-) dispersion and weather forecasting. One of the unique aspects of OMEGA is the triangular unstructured grid geometry which leads in a natural way to the creation of a global grid with continuously variable resolution from roughly 100 km over the oceans to less than 10 km over regions of interest. Another unique aspect is the concept of dynamically adapting grid resolution-sometimes also called solution-adaptive grid resolution. A central element of the modelling system, however, is its advection solver-MPDATA. This paper presents the implementation of MPDATA on an unstructured grid and demonstrates its accuracy and e ciency using analytic and idealized test cases.

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Section: Adaptive Unstructured Gridsmentioning

confidence: 99%

Application of the multidimensional positive definite advection transport algorithm (MPDATA) to environmental modelling on adaptive unstructured grids

Ahmad

Bacon

Hall

et al. 2005

Numerical Methods in Fluids

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“…After a number of iterations the simulations should converge to an ensemble that is best suited (adapted) to the prevailing atmospheric conditions. The second novel approach uses an ensemble Kalman filter (EnKF) to exam- The research described here uses data from the internationally recognized European Tracer Experiment (ETEX, Girardi et al, 1998). ETEX provides a rich data collection over a large area, as well as an abundance of literature devoted to the data.…”

Section: R E S U L T S / Discussion T a P P R O A C Hmentioning

confidence: 99%

SRNL 2016 LDRD Annual Report

Taylor-Pashow

2017

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An innovative and effective Laboratory Directed Research and Development (LDRD) program is the lifeblood of a National Laboratory, positioning it for future growth in key mission areas. For Savannah River National Laboratory (SRNL), the LDRD program provides an avenue for early exploration and exploitation of creative ideas that will enhance the ability of the lab to support the critical DOE missions in environmental stewardship, national security, clean energy, and nuclear materials management.Additionally, LDRD activities sustain staff excellence by providing the opportunity to nurture existing and grow emerging core competencies. The LDRD program also provides an avenue to forge strategic partnerships with not only other national labs, but also universities and commercial companies. SRNL's university partnerships are especially valuable as they not only allow for fruitful collaborations, but also allow us to connect with the next generation of scientists and engineers as students and post-doctoral researchers working on cutting-edge R&D programs. I am enthusiastic about the growth and opportunities that the SRNL LDRD program is creating for the laboratory and the nation. The program continues to demonstrate advancements in the scientific underpinnings that reveal the quality of SRNL's research and open new doors for technology deployment. This report reflects the execution of our LDRD program within the objectives and guidelines outlined by the DOE through the DOE Order 413.2C. The projects described herein reflect the innovation required to fulfill SRNL's strategic vision and program plans, and they provide great value to the DOE and the nation. The diversity exhibited in the research and development projects underscores the DOE Office of Environmental Management (DOE-EM) mission and enhances that mission by developing the technical capabilities and human capital necessary to support future DOE-EM national needs.On behalf of the SRNL Senior Management team, I would like to congratulate those members of the SRNL staff, and their collaborators, for their accomplishments and the quality of their work. Their efforts create a product that continues to be a critical mechanism to demonstrate the importance of SRNL's competencies to the nation.

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“…Improvements in ensemble modeling are important in applications related to atmospheric transport and dispersion, such as emergency response and non-proliferation. In the first year of the project, focus was on simulating the European Tracer Experiment (ETEX, Girardi et al, 1998) to evaluate the quality of two novel ensemble modeling techniques. Improvement in modeling of both methods was illustrated.…”

Section: Ldrd-2016-00071 Ldrd Reportmentioning

confidence: 99%