Institution
Michigan Technological University
Education•Houghton, Michigan, United States•
About: Michigan Technological University is a education organization based out in Houghton, Michigan, United States. It is known for research contribution in the topics: Population & Volcano. The organization has 8023 authors who have published 17422 publications receiving 481780 citations. The organization is also known as: MTU & Michigan Tech.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors evaluate the use of discrete return airborne LiDAR data for quantifying biomass change and carbon flux from repeat field and LIDAR surveys and conclude that repeat LiDARS surveys are useful for accurately quantifying high resolution, spatially explicit biomass and carbon dynamics in conifer forests.
248 citations
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TL;DR: In this article, a small-angle X-ray scattering study has been made of isothermal decomposition in an Al-Zn alloy containing 22 at.% Zn, and the changes in the Xray spectra in the early stages of the decomposition at 65°C were in accord with the theory of spinodal decomposition proposed by J.W. Cahn.
248 citations
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TL;DR: An improved representation of NMVOCs in a global 3-D chemical transport model (GEOS-Chem) is used and it is shown that it can simulate PAN observations from aircraft campaigns worldwide and is very sensitive to plume chemistry and plume rise.
Abstract: . Peroxyacetyl nitrate (PAN) formed in the atmospheric oxidation of non-methane volatile organic compounds (NMVOCs) is the principal tropospheric reservoir for nitrogen oxide radicals (NOx = NO + NO2). PAN enables the transport and release of NOx to the remote troposphere with major implications for the global distributions of ozone and OH, the main tropospheric oxidants. Simulation of PAN is a challenge for global models because of the dependence of PAN on vertical transport as well as complex and uncertain NMVOC sources and chemistry. Here we use an improved representation of NMVOCs in a global 3-D chemical transport model (GEOS-Chem) and show that it can simulate PAN observations from aircraft campaigns worldwide. The immediate carbonyl precursors for PAN formation include acetaldehyde (44% of the global source), methylglyoxal (30%), acetone (7%), and a suite of other isoprene and terpene oxidation products (19%). A diversity of NMVOC emissions is responsible for PAN formation globally including isoprene (37%) and alkanes (14%). Anthropogenic sources are dominant in the extratropical Northern Hemisphere outside the growing season. Open fires appear to play little role except at high northern latitudes in spring, although results are very sensitive to plume chemistry and plume rise. Lightning NOx is the dominant contributor to the observed PAN maximum in the free troposphere over the South Atlantic.
247 citations
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TL;DR: A measurement of the proton-air cross section for particle production at the center-of-mass energy per nucleon of 57 TeV is reported, derived from the distribution of the depths of shower maxima observed with the Pierre Auger Observatory.
Abstract: We report a measurement of the proton-air cross section for particle production at the center-of-mass energy per nucleon of 57 TeV. This is derived from the distribution of the depths of shower maxima observed with the Pierre Auger Observatory: systematic uncertainties are studied in detail. Analyzing the tail of the distribution of the shower maxima, a proton-air cross section of [505 +/- 22(stat)(-36)(+28)(syst)] mb is found.
246 citations
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TL;DR: In this article, the authors examined the implications of the distributions of the depths of atmospheric shower maximum (X-max) using a hybrid technique, for composition and hadronic interaction models, and found that their data are not well described by a mix of protons and iron nuclei over most of the energy range.
Abstract: Using the data taken at the Pierre Auger Observatory between December 2004 and December 2012, we have examined the implications of the distributions of depths of atmospheric shower maximum (X-max), using a hybrid technique, for composition and hadronic interaction models. We do this by fitting the distributions with predictions from a variety of hadronic interaction models for variations in the composition of the primary cosmic rays and examining the quality of the fit. Regardless of what interaction model is assumed, we find that our data are not well described by a mix of protons and iron nuclei over most of the energy range. Acceptable fits can be obtained when intermediate masses are included, and when this is done consistent results for the proton and iron-nuclei contributions can be found using the available models. We observe a strong energy dependence of the resulting proton fractions, and find no support from any of the models for a significant contribution from iron nuclei. However, we also observe a significant disagreement between the models with respect to the relative contributions of the intermediate components.
244 citations
Authors
Showing all 8104 results
Name | H-index | Papers | Citations |
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Anil K. Jain | 183 | 1016 | 192151 |
Marc W. Kirschner | 162 | 457 | 102145 |
Yonggang Huang | 136 | 797 | 69290 |
Hong Wang | 110 | 1633 | 51811 |
Fei Wang | 107 | 1824 | 53587 |
Emanuele Bonamente | 105 | 219 | 40826 |
Haoshen Zhou | 104 | 519 | 37609 |
Nicholas J. Turro | 104 | 1131 | 53827 |
Yang Shao-Horn | 102 | 458 | 49463 |
Richard P. Novick | 99 | 295 | 34542 |
Markus J. Buehler | 95 | 609 | 33054 |
Martin L. Yarmush | 91 | 702 | 34591 |
Alan Robock | 90 | 346 | 27022 |
Patrick M. Schlievert | 90 | 444 | 32037 |
Lonnie O. Ingram | 88 | 316 | 22217 |