• Boquet, M., , Cariou J. P. , , Sauvage L. , , Lolli S. , , Parmentier R. , , and Loaec S. , 2009: Atmospheric Boundary Layer and Clouds wind speed profile measurements with the new compact long range wind Lidar WindCube(TM) WLS70. Geophysical Research Abstracts, Vol. 11, Abstract EGU2009-10541. [Available online at http://meetingorganizer.copernicus.org/EGU2009/EGU2009-10541.pdf.]

  • Borchi, F., , and Marenco A. , 2002: Discrimination of air masses near the extratropical tropopause by multivariate analyses from MOZAIC data. Atmos. Environ., 36, 11231135, doi:10.1016/S1352-2310(01)00576-3.

    • Search Google Scholar
    • Export Citation
  • Dionisi, D., , Keckhut P. , , Liberti G. L. , , Cardillo F. , , and Congeduti F. , 2013: Midlatitude cirrus classification at Rome Tor Vergata through a multichannel Raman–Mie–Rayleigh lidar. Atmos. Chem. Phys., 13, 11 85311 868, doi:10.5194/acp-13-11853-2013.

    • Search Google Scholar
    • Export Citation
  • Greyling, T. A., 2013: A composite index of quality of life for the Gauteng city-region: A principal component analysis approach. GCRO Reports, Occasional Paper 7, 47 pp. [Available online at http://www.gcro.ac.za/sites/default/files/reports/occasional_paper_7.pdf.]

  • Haeffelin, M., and et al. , 2012: Evaluation of mixing-height retrievals from automatic profiling lidars and ceilometers in view of future integrated networks in Europe. Bound.-Layer Meteor., 143, 4975, doi:10.1007/s10546-011-9643-z.

    • Search Google Scholar
    • Export Citation
  • Holben, B. N., and et al. , 1998: AERONET—A federated instrument network and data archive for aerosol characterization. Remote Sens. Environ., 66, 116, doi:10.1016/S0034-4257(98)00031-5.

    • Search Google Scholar
    • Export Citation
  • Kaiser, H. F., 1958: The varimax criterion for analytic rotation in factor analysis. Psychometrika, 23, 187–200, doi:10.1007/BF02289233.

    • Search Google Scholar
    • Export Citation
  • Lolli, S., , Sauvage L. , , Loaec S. , , and Lardier M. , 2011: EZ Lidar™: A new compact autonomous eye-safe scanning aerosol Lidar for extinction measurements and PBL height detection. Validation of the performances against other instruments and intercomparison campaigns. Opt. Pura Apl.,44, 33–41.

  • Lolli, S., , Delaval A. , , Loth C. , , Garnier A. , , and Flamant P. H. , 2013a: 0.355-micrometer direct detection wind lidar under testing during a field campaign in consideration of ESA’s ADM-Aeolus mission. Atmos. Meas. Tech., 6, 3349–3358, doi:10.5194/amt-6-3349-2013.

    • Search Google Scholar
    • Export Citation
  • Lolli, S., , Welton E. J. , , and Campbell J. R. , 2013b: Evaluating light rain drop size estimates from multiwavelength micropulse lidar network profiling. J. Atmos. Oceanic Technol.,30, 2798–2807, doi:10.1175/JTECH-D-13-00062.1.

  • Lund Myhre, C., and et al. , 2012: Recommendations for a composite surface-based aerosol network. WMO GAW Rep. 207, 58 pp. [Available online at http://www.wmo.int/pages/prog/arep/gaw/documents/Final_GAW_207_WEB.pdf.]

  • Milroy, C., and et al. , 2011: On the ability of pseudo-operational ground-based light detection and ranging (LIDAR) sensors to determine boundary-layer structure: Intercomparison and comparison with in-situ radiosounding. Atmos. Meas. Tech. Discuss.,4, 563597, doi:10.5194/amtd-4-563-2011.

    • Search Google Scholar
    • Export Citation
  • Milroy, C., and et al. , 2012: An assessment of pseudo-operational ground-based light detection and ranging sensors to determine the boundary-layer structure in the coastal atmosphere. Adv. Meteor.,2012, 929080, doi:10.1155/2012/929080.

  • Munkel, C., , Eresmaa N. , , Rasanen J. , , and Karppinen A. , 2007: Retrieval of mixing height and dust concentration with lidar ceilometer. Bound.-Layer Meteor., 124, 117128, doi:10.1007/s10546-006-9103-3.

    • Search Google Scholar
    • Export Citation
  • Nardo, M., , Saisana M. , , Saltelli A. , , Tarantola S. , , Hoffman A. , , and Giovannini E. , 2005: Handbook on constructing composite indicators: Methodology and user guide. OECD Statistics Working Papers 2005/03, 109 pp., doi:10.1787/533411815016.

  • Nicoletti, G., , Scarpetta S. , , and Boylaud O. , 2000: Summary indicators of product market regulation with an extension to employment protection legislation. OECD Economics Department Working Papers 226, 87 pp., doi:10.1787/215182844604.

  • Schafer, J. S., , Holben B. N. , , Eck T. F. , , Yamasoe M. A. , , and Artaxo P. , 2002: Atmospheric effects on insolation in the Brazilian Amazon: Observed modification of solar radiation by clouds and smoke and derived single scattering albedo of fire aerosols. J. Geophys. Res., 107, 8074, doi:10.1029/2001JD000428.

    • Search Google Scholar
    • Export Citation
  • Somarriba, N., , and Pena B. , 2009: Synthetic indicators of quality of life in Europe. Soc. Indic. Res., 94, 115133, doi:10.1007/s11205-008-9356-y.

    • Search Google Scholar
    • Export Citation
  • Tabachnick, B. G., , and Fidell L. S. , 2007: Using Multivariate Statistics. 5th ed. Pearson Education, 980 pp.

  • Wang, S. H., and et al. , 2013: Origin, transport, and vertical distribution of atmospheric pollutants over the northern South China Sea during the 7-SEAS/Dongsha Experiment. Atmos. Environ., 78, 124133, doi:10.1016/j.atmosenv.2012.11.013.

    • Search Google Scholar
    • Export Citation
  • Welton, E. J., and et al. , 2002: Measurements of aerosol vertical profiles and optical properties during INDOEX 1999 using micropulse lidars. J. Geophys. Res., 107, 8019, doi:10.1029/2000JD000038.

    • Search Google Scholar
    • Export Citation
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Principal Component Analysis Approach to Evaluate Instrument Performances in Developing a Cost-Effective Reliable Instrument Network for Atmospheric Measurements

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  • 1 Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, and NASA Goddard Space Flight Center, Greenbelt, Maryland
  • | 2 Scuola di Ingegneria, Università della Basilicata, Potenza, Italy
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Abstract

Developing a reliable cost-effective instrument network for data measurement is a challenging task for agency decisionmakers. A simple way to fully characterize the performances of an instrument that also considers economical and operational factors—price, maintenance cost, lifetime, etc.—currently does not exist. Through principal component analysis, a method is developed to build a composite index that assigns a single score to each instrument, taking into account all the scientific, economic, and operational aspects. This index will then represent solid help in building and optimizing a cost-effective network, bridging the gap between two very different worlds: the scientific need for precision and economic constraints.

Corresponding author address: Simone Lolli, NASA Goddard Space Flight Center, Code 612, Greenbelt, MD 20771. E-mail: simone.lolli@nasa.gov

Abstract

Developing a reliable cost-effective instrument network for data measurement is a challenging task for agency decisionmakers. A simple way to fully characterize the performances of an instrument that also considers economical and operational factors—price, maintenance cost, lifetime, etc.—currently does not exist. Through principal component analysis, a method is developed to build a composite index that assigns a single score to each instrument, taking into account all the scientific, economic, and operational aspects. This index will then represent solid help in building and optimizing a cost-effective network, bridging the gap between two very different worlds: the scientific need for precision and economic constraints.

Corresponding author address: Simone Lolli, NASA Goddard Space Flight Center, Code 612, Greenbelt, MD 20771. E-mail: simone.lolli@nasa.gov
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