56 research outputs found
wde0924/X-STILT: X-STILT (for Geoscientific Model Development 2018)
No full text<p>This release includes the latest model code of X-STILT built on STILT (Lin et al., 2003) and STILT-R version 2 (Fasoli et al., 2018) and bookmarks the code version documented in the following manuscript:</p>
<p>Wu, D., Lin, J. C., Fasoli, B., Oda, T., Ye, X., Lauvaux, T., Yang, E. G., and Kort, E. A.: A Lagrangian Approach Towards Extracting Signals of Urban CO2 Emissions from Satellite Observations of Atmospheric Column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model ("X-STILT v1"), Geosci. Model Dev. Discuss., <a href="https://doi.org/10.5194/gmd-2018-123">https://doi.org/10.5194/gmd-2018-123</a>, accepted, 2018.</p>
<p><strong>Please refer to the latest updates on <a href="http://github.com/wde0924/X-STILT">https://github.com/uataq/X-STILT</a>. Please contact Dien Wu ([email protected]) if you have any questions, comments, and suggestions.</strong></p>
wde0924/X-STILT: X-STILT (for Geoscientific Model Development 2018)
No full text<p>This release includes the model code of X-STILT built on STILT (Lin et al., 2003) and STILT-R version 2 (Fasoli et al., 2018) and bookmarks the code version documented in the following manuscript:</p>
<p>Wu, D., Lin, J. C., Oda, T., Ye, X., Lauvaux, T., Yang, E. G., and Kort, E. A.: A Lagrangian Approach Towards Extracting Signals of Urban CO2 Emissions from Satellite Observations of Atmospheric Column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model ("X-STILT v1.1"), Geosci. Model Dev. Discuss., <a href="https://doi.org/10.5194/gmd-2018-123">https://doi.org/10.5194/gmd-2018-123</a>, in review, 2018.</p>
<p>Please contact Dien Wu ([email protected]) if you have any questions, comments, and suggestions.</p>
uataq/X-STILT: X-STILT
No full text<p>This release includes the model code of X-STILT built on STILT-R version 2 (Fasoli et al., 2018) and STILT (Lin et al., 2003). Important changes from the last version v1.3 include X-STILT code refactoring with STILTv2 being a submodule along with few optimizations and minor changes:</p>
<ul>
<li>
<p>Refactor transport error code using the latest X-STILT framework (see <code>run_xstilt</code>). Specifically, move the traj-level CO2 calculation (starting with <code>cal.trajfoot.stat()</code>) into <code>before_footprint_xstilt()</code>.</p>
</li>
<li>
<p>Minor bugs/typos fixed (leading to very small impact on the calculation), when 1) weighting traj-level foot for trajec with wind error component (<code>wgt.trajec.footv3</code>) and 2) calculating the traj-level CO2 (<code>cal.trajfoot.stat</code>). Specifically, no AK weighting for <code>endpts.trajfoot.r</code>.</p>
</li>
<li>
<p>Remove two sections of the code for simplifications, including 1) calculation of lat-int signals or errors in <code>run_xstilt</code> and 2) two scripts for plotting that used to be in ./r/src/plot_scripts.</p>
</li>
<li>
<p>Optimize several functions for trajec-level CO2 calculations (<code>*.trajfoot</code>) to reduce the memory needed.</p>
</li>
</ul>
<p>This version bookmarks the code version documented in the following manuscript: Wu, D., Lin, J. C., Fasoli, B., Oda, T., Ye, X., Lauvaux, T., Yang, E. G., and Kort, E. A.: A Lagrangian approach towards extracting signals of urban CO2 emissions from satellite observations of atmospheric column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model ("X-STILT v1"), Geosci. Model Dev., 11, 4843-4871, <a href="https://doi.org/10.5194/gmd-11-4843-2018">https://doi.org/10.5194/gmd-11-4843-2018</a>, 2018.</p>
<p>Please refer to https://github.com/uataq/X-STILT for the latest updates. Please contact Dien Wu ([email protected]) if you have any questions, comments, and suggestions.</p>
"Saksofon to świat" - językowy obraz instrumentów w Traktacie o łuskaniu fasoli Wiesława Myśliwskiego
No full textIn the article, the author investigates the artistic text in order to check what linguistic
shapes the music fragments which appear in it assume, and which elements of cultural
images of musical instruments have been reinforced in the descriptions of the treatise.
The analyses conducted within the cultural linguistic framework open up new dimensions
of interpretation, and demonstrate that the fragments of the novel which have
been devoted to instruments are not merely linguistic pictures, but important elements
of text structure that have had a significant influence on its plot. It is noteworthy that
the main protagonist of Traktat o łuskaniu fasoli (The Treatise on Shelling Beans) is
intermediately characterised by the instruments that appear in his life. Every instrument
he comes across determines his personal development, strengthens the feeling
of existential sense, and sometimes unites him with his predecessors
Blob motion and control in simple magnetized plasmas
No full textThe radial propagation of plasma blobs and possibilities of influencing it are investigated in the TORPEX toroidal experiment [Fasoli et al., Phys. Plasmas 13, 055902 (2006)]. The effect of changing the connection length and the neutral background pressure on blob velocity is measured and trends are found to agree with predictions from a previous study [Theiler et al., Phys. Rev. Lett. 103, 065001, (2009)]. Effects on blob motion due to a change in limiter material and geometry are also discussed. (C) 2011 American Institute of Physics. [doi: 10.1063/1.3562944]CRPPSPCCopyright (2011) American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics
Master of Science
No full textthesisThe Stochastic Time-Inverted Lagrangian Transport (STILT) model is comprised of a compiled Fortran executable that carries out advection and dispersion calculations as well as a higher level code layer for simulation control and user interaction, written in the open source data analysis language R. We introduce modifications to the STILT-R codebase with the aim to improve the model\u27s applicability to fine-scale trace gas measurement approaches. The changes facilitate placement of spatially distributed receptors and provide high level methods for single and multinode parallelism. We present a kernel density estimator to calculate influence footprints and demonstrate improvements over previous methods. This framework provides a central source repository to reduce code fragmentation between STILT user groups as well as a systematic, well-documented workflow for users. We apply the modified STILT to lightrail measurements in Salt Lake City, UT and discuss how results from our analyses can inform future fine-scale measurement approaches and modeling efforts
The AWAKE Run 2 programme and beyond
No full textAutores: Edda Gschwendtner, Konstantin Lotov, Patric Muggli, Matthew Wing, Riccardo Agnello, Claudia Christina Ahdida, Maria Carolina Amoedo Goncalves, Yanis Andrebe, Oznur Apsimon, Robert Apsimon, Jordan Matias Arnesano, Anna-Maria Bachmann, Diego Barrientos, Fabian Batsch, Vittorio Bencini, Michele Bergamaschi, Patrick Blanchard, Philip Nicholas Burrows, Birger Buttenschön, Allen Caldwell, James Chappell, Eric Chevallay, Moses Chung, David Andrew Cooke, Heiko Damerau, Can Davut, Gabor Demeter, Amos Christopher Dexter, Steffen Doebert, Francesa Ann Elverson, John Farmer, Ambrogio Fasoli, Valentin Fedosseev, Ricardo Fonseca, Ivo Furno, Spencer Gessner, Aleksandr Gorn, Eduardo Granados, Marcel Granetzny, Tim Graubner, Olaf Grulke, Eloise Daria Guran, Vasyl Hafych, Anthony Hartin, James Henderson, Mathias Hüther, Miklos Kedves, Fearghus Keeble, Vadim Khudiakov, Seong-Yeol Kim, Florian Kraus, Michel Krupa, Thibaut Lefevre, Linbo Liang, Shengli Liu, Nelson Lopes, Miguel Martinez Calderon, Stefano Mazzoni, David Medina Godoy, Joshua Moody, Kookjin Moon, Pablo Israel Morales Guzmán, Mariana Moreira, Tatiana Nechaeva, Elzbieta Nowak, Collette Pakuza, Harsha Panuganti, Ans Pardons, Kevin Pepitone, Aravinda Perera, Jan Pucek, Alexander Pukhov, Rebecca Louise Ramjiawan, Stephane Rey, Adam Scaachi, Oliver Schmitz, Eugenio Senes, Fernando Silva, Luis Silva, Christine Stollberg, Alban Sublet, Catherine Swain, Athanasios Topaloudis, Nuno Torrado, Petr Tuev, Marlene Turner, Francesco Velotti, Livio Verra, Victor Verzilov, Jorge Vieira, Helmut Vincke, Martin Weidl, Carsten Welsch, Manfred Wendt, Peerawan Wiwattananon, Joseph Wolfenden, Benjamin Woolley, Samuel Wyler, Guoxing Xia, Vlada Yarygova, Michael Zepp, Giovanni Zevi Della Porta. ::: Publisher: [MDPI] ::: Location: [
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