1,721,032 research outputs found

    Gonzalez 2021 tagged CO model archive

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    Please see README file for a detailed description of the data.This archive contains model code, input files, and simulation results for atmospheric carbon monoxide (CO) posted in association with the referenced paper.NASA (#NNX17AK18G)Millet, Dylan B.; Gonzalez, Andres; Yu, Xueying. (2021). Gonzalez 2021 tagged CO model archive. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/p2ze-1y93

    Global isoprene measurements from CrIS

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    Please see README file and citation for a description of the data.This archive contains global measurements of atmospheric isoprene columns from the CrIS satellite sensor. Isoprene columns were derived using an artificial neural network approach as described in the citation below. Data are archived in association with that manuscript.NASA Atmospheric Composition Modeling and Analysis Program (Grant #NNX17AF61G)Wells, Kelley C.; Millet, Dylan B.. (2020). Global isoprene measurements from CrIS. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/v959-dr15

    Atmospheric formic acid measurements from the 2016 PROPHET-AMOS campaign at the University of Michigan Biological Station

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    This archive contains 10 Hz mixing ratio measurements for HCOOH and related compounds (acetone, isoprene, methanol, monoterpenes, and MVK+MACR), 1-minute averaged HCOOH soil chamber mixing ratio measurements, and raw CSAT-3B sonic anemometer measurements from the PROPHET-AMOS campaign archived in association with submission of the following manuscript: Alwe, H.D., D.B. Millet, X. Chen, J.D. Raff, Z. Payne, and K. Fledderman (2018), Oxidation of volatile organic compounds as the major source of formic acid in a mixed forest canopy, Geophys. Res. Lett., 46, 2940-2948, doi:10.1029/2018GL081526National Science Foundation (AGS-1428257, AGS-1148951)Alwe, Hariprasad D.; Millet, Dylan B.. (2018). Atmospheric formic acid measurements from the 2016 PROPHET-AMOS campaign at the University of Michigan Biological Station. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/D6JQ3R

    ROCR Isoprene Retrievals from the CrIS Satellite Sensor

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    This archive contains the following files, all in netcdf format: 2012to2020_CrIS_Isoprene.nc - This file contains global CrIS isoprene column densities for each month of the year, averaged from 2012-2020 (2013-2020 for January). These data are shown in Figure 5, 6, and 9 of the manuscript. 2012to2020_summer_Ozarks_Isoprene.nc - This file contains daily CrIS isoprene averaged over the Ozarks [35 to 39 latitude, -95 to -90 longitude] from June-September 2012-2020. These data are shown in Figure 8 of the manuscript. 2013_Acre_Isoprene.nc - This file contains daily CrIS isoprene averaged over the Brazilian state of Acre [-12 to -6 latitude, -73 to -66 longitude] for 2013. These data are shown in Figure 10 of the manuscript.This archive contains new atmospheric isoprene measurements from the CrIS satellite sensor using the ROCR retrieval algorithm. Data are archived in association with the manuscript below.This work was supported by the NASA Aura Science Team (Grant No. 80NSSC20K0927) and the Minnesota Supercomputing Institute.Wells, Kelley C.; Millet, Dylan B.. (2022). ROCR Isoprene Retrievals from the CrIS Satellite Sensor. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/5n0j-wx73

    Ecosystem-atmosphere fluxes of reactive carbon from the 2021 Flux Closure Study (FluCS) at Manitou Experimental Forest

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    Please see README files and citation for a description of the data.This archive contains hourly observed and modeled fluxes of ambient volatile organic compounds (VOCs) over Manitou Experimental Forest in Woodland Park, CO during the FluCS 2021 study throughout August and September 2021. Observations were collected via the eddy covariance method using mass spectrometry for VOC concentrations and a sonic anemometer for vertical windspeed. Model fluxes were simulated using the GEOS-Chem (v13.3) model. Also included are observed and simulated meteorology during this time period.National Science Foundation (AGS-1932771, AGS-1932849).Vermeuel, Michael P; Millet, Dylan B; Farmer, Delphine K; Pothier, Matson A; Link, Michael F. (2023). Ecosystem-atmosphere fluxes of reactive carbon from the 2021 Flux Closure Study (FluCS) at Manitou Experimental Forest. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/ws9a-ae08

    Airborne measurements from the GEM study

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    Please see README file for a detailed description of the data.This archive contains airborne measurements from the GEM campaign. Data are archived in association with the following manuscript: Yu, X., D.B. Millet, K.C. Wells, T.J. Griffis, X. Chen, J.M. Baker, S.A. Conley, M.L. Smith, A. Gvakharia, E.A. Kort, G. Plant, and J.D. Wood (2020), Top-down constraints on methane point source emissions from animal agriculture and waste based on new airborne measurements in the US Upper Midwest, J. Geophys. Res., 125, e2019JG005429, doi:10.1029/2019JG005429.NASA (#NNX17AK18G, #80NSSC18K1393)Millet, Dylan B.; Conley, Stephan A.; Gvakharia, Alexander; Kort, Eric A.; Plant, Genevieve; Smith, Mackenzie L.; Yu, Xueying. (2019). Airborne measurements from the GEM study. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/f50r-zh70

    Code Updates of GEOS-Chem Adjoint v35 for TROPOMI Methane 4D-Var Inversion

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    The archive includes a frozen version of the GEOS-Chem adjoint model code used for methane 4D-Var inversions. Please see README file for a detailed description of the code.The archive contains updated GEOS-Chem adjoint v35 code for TROPOMI methane 4D-Var inversion.NASA (#NNX17AK18G, #80NSSC18K1393)Yu, Xueying; Millet, Dylan B; Henze, Daven K. (2021). Code Updates of GEOS-Chem Adjoint v35 for TROPOMI Methane 4D-Var Inversion. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/g5xc-nj81

    CrIS ROCR Isoprene Retrievals used for Mapping Atmospheric Oxidation

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    See accompanying Readme file for detailed datafile descriptions.This archive contains satellite-based observations of isoprene that are used in the reference cited below for mapping atmospheric oxidation rates from space.This work was supported by the NASA Aura Science Team (Grant No. 80NSSC20K0927) and the Minnesota Supercomputing Institute.Millet, Dylan B; Shutter, Joshua D; Wells, Kelley C. (2024). CrIS ROCR Isoprene Retrievals used for Mapping Atmospheric Oxidation. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/9m63-j327

    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
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