186,480 research outputs found

    Coheur, P F

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    The IASI/Metop-B HCOOH ANNI v4 product

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    <p>This dataset comprises the version 4 of the HCOOH product retrieved from IASI/Metop-B between July 2022 and June 2023, using the Artificial Neural Network for IASI (ANNI) version 4 retrieval scheme. Each day is represented by a .nc file. For detailed information on the HCOOH product, please refer to Franco et al. (2018) <em>"A General Framework for Global Retrievals of Trace Gases From IASI: Application to Methanol, Formic Acid, and PAN"</em> (JGR, https://doi.org/10.1029/2018JD029633) and for a description of the ANNI v4 retrievals, please consult Clarisse et al. (2023) <em>"The IASI NH3 version 4 product: averaging kernels and improved consistency"</em> (AMT, <a href="https://doi.org/10.5194/amt-16-5009-2023">https://doi.org/10.5194/amt-16-5009-2023</a>). Prior to using this dataset, we recommend reaching out to the main developers Bruno Franco (<a href="mailto:[email protected]">[email protected]</a>) and Lieven Clarisse (<a href="mailto:[email protected]">[email protected]</a>) for guidance and information on more recent product versions.</p&gt

    The IASI/Metop pyrogenic HONO product v2

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    <p>This dataset comprises the version 2 of the pyrogenic HONO product retrieved from IASI/Metop-A (Oct 2007 - Sept 2021), IASI/Metop-B (March 2013 - Sept 2023), and IASI/Metop-C (Sept 2019 - Sept 2023) using the Artificial Neural Network for IASI (ANNI) version 4 retrieval scheme. Each day with successful pyrogenic HONO detections is represented by a .nc file per instrument. For detailed information on the HONO product, please refer to Franco et al. (2023) <em>"Pyrogenic HONO seen from space: insights from global IASI observations"</em> (ACP, submitted), and for a description of the ANNI v4 retrievals, please consult Clarisse et al. (2023) <em>"The IASI NH3 version 4 product: averaging kernels and improved consistency"</em> (AMT, <a href="https://doi.org/10.5194/amt-16-5009-2023">https://doi.org/10.5194/amt-16-5009-2023</a>). Prior to using this dataset, we recommend reaching out to the main developers Bruno Franco (<a href="mailto:[email protected]">[email protected]</a>) and Lieven Clarisse (<a href="mailto:[email protected]">[email protected]</a>) for guidance and information on more recent product versions.</p> <p>Compared to v1, IASI HONO product v2 contains more realistic error estimates related to the uncertainties on the fire plume altitude.</p&gt

    Water vapour line assignments in the 9250-26 000 cm-1 frequency range

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    Line parameters for water vapour in natural abundance have recently been determined for the 9250-13 000 cm-1 region [M.-F. Mérienne, A. Jenouvrier, C. Hermans, A.C. Vandaele, M. Carleer, C. Clerbaux, P.-F. Coheur, R. Colin, S. Fally, M. Bach, J. Quant. Spectrosc. Radiat. Transfer 82 (2003) 99] and the 13 000-26 000 cm-1 region [P.-F. Coheur, S. Fally, M. Carleer, C. Clerbaux, R. Colin, A. Jenouvrier, M.-F. Mérienne, C. Hermans, A.C. Vandaele, J. Quant. Spectrosc. Radiat. Transfer 74 (2002) 493] using a high-resolution Fourier-transform spectrometer with a long-path absorption cell. These spectra are analysed using several techniques including variational line lists and assignments made. In total, over 15 000 lines were assigned to transitions involving more than 150 exited vibrational states of H2 16O. Twelve new vibrational band origins are determined and estimates for a further 16 are presented

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Water vapour line assignments in the 9250-26 000 cm (-1) frequency range

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    Line parameters for water vapour in natural abundance have recently been determined for the 9250-13 000 cm(-1) region [M.-F. Wrienne, A. Jenouvrier, C. Hermans, A.C. Vandaele, M. Carleer, C. Clerbaux, P.-F. Coheur, R. Colin, S. Fally, M. Bach, J. Quant. Spectrosc. Radiat. Transfer 82 (2003) 99] and the 13 000-26 000 cm(-1) region [P.-F. Coheur, S. Fally, M. Carleer, C. Clerbaux, R. Colin, A. Jenouvrier, M.-F. Wrienne, C. Hermans, A.C. Vandaele, J. Quant. Spectrosc. Radial. Transfer 74 (2002) 493] using a high-resolution Fourier-transform spectrometer with a long-path absorption cell. These spectra are analysed using several techniques including variational line lists and assignments made. In total, over 15 000 lines were assigned to transitions involving more than 150 exited vibrational states of (H2O)-O-16. Twelve new vibrational band origins are determined and estimates for a further 16 are presented. (c) 2005 Elsevier Inc. All rights reserved

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Withdrawn by Author

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    <p>Withdrawn by Author </p&gt

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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