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  • BrGDGT  (1)
  • Factor Models  (1)
  • Oxford University Press  (1)
  • Wiley  (1)
  • American Chemical Society (ACS)
  • American Institute of Physics (AIP)
  • International Union of Crystallography (IUCr)
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  • Oxford University Press  (1)
  • Wiley  (1)
  • American Chemical Society (ACS)
  • American Institute of Physics (AIP)
  • International Union of Crystallography (IUCr)
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  • 1
    Publication Date: 2022-10-26
    Description: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Munoz, S. E., Porter, T. J., Bakkelund, A., Nusbaumer, J., Dee, S. G., Hamilton, B., Giosan, L., & Tierney, J. E. Lipid biomarker record documents hydroclimatic variability of the Mississippi River Basin during the common era. Geophysical Research Letters, 47(12), (2020): e2020GL087237, doi:10.1029/2020GL087237.
    Description: Floods and droughts in the Mississippi River basin are perennial hazards that cause severe economic disruption. Here we develop and analyze a new lipid biomarker record from Horseshoe Lake (Illinois, USA) to evaluate the climatic conditions associated with hydroclimatic extremes that occurred in this region over the last 1,800 years. We present geochemical proxy evidence of temperature and moisture variability using branched glycerol dialkyl glycerol tetraethers (brGDGTs) and plant leaf wax hydrogen isotopic composition (δ2Hwax) and use isotope‐enabled coupled model simulations to diagnose the controls on these proxies. Our data show pronounced warming during the Medieval era (CE 1000–1,600) that corresponds to midcontinental megadroughts. Severe floods on the upper Mississippi River basin also occurred during the Medieval era and correspond to periods of enhanced warm‐season moisture. Our findings imply that projected increases in temperature and warm‐season precipitation could enhance both drought and flood hazards in this economically vital region.
    Description: This project was supported by grants to S. E. M and L. G. (NSF EAR‐1804107), T. J. P. (NSERC Discovery Grant), and S. G. D. (NOAA‐NA18OAR4310427).
    Keywords: Lipid biomarker ; Leaf wax ; BrGDGT ; Common Era ; Paleoclimate ; Hydroclimate
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 2
    Publication Date: 2016-02-04
    Description: Clusters are geographic concentrations of industries related by knowledge, skills, inputs, demand and/or other linkages. There is an increasing need for cluster-based data to support research, facilitate comparisons of clusters across regions and support policymakers in defining regional strategies. This article develops a novel clustering algorithm that systematically generates and assesses sets of cluster definitions (i.e., groups of closely related industries). We implement the algorithm using 2009 data for U.S. industries (six-digit NAICS), and propose a new set of benchmark cluster definitions that incorporates measures of inter-industry linkages based on co-location patterns, input–output links, and similarities in labor occupations. We also illustrate the algorithm’s ability to compare alternative sets of cluster definitions by evaluating our new set against existing sets in the literature. We find that our proposed set outperforms other methods in capturing a wide range of inter-industry linkages, including the grouping of industries within the same three-digit NAICS.
    Keywords: C38-Classification Methods ; Cluster Analysis ; Factor Models
    Print ISSN: 1468-2702
    Electronic ISSN: 1468-2710
    Topics: Geography , Economics
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