Publicly accessible high-quality and long-term satellite-based solar resource data sets reduce barriers to solar grid penetration. Models that produce solar resource information from satellites have been in development for more than three decades. Two widely used approaches derive solar resources from satellites: (1) an empirical approach that relates ground-based observations to satellite measurements and (2) a physics-based approach that considers the radiation received at the satellite and creates retrievals to estimate clouds and surface radiation. Although empirical methods have been traditionally used for computing surface radiation, the advent of faster computing has made operational physical models viable. The Global Solar Insolation Project (GSIP) is an operational physical model from the National Oceanic and Atmospheric Administration (NOAA) that computes global horizontal radiation (GHI) using the visible and infrared channel measurements from geostationary operational environmental satellites (GOES). GSIP uses a two-stage scheme that retrieves cloud properties and uses those properties in the Satellite Algorithm for Surface Radiation Budget (SASRAB) model to calculate surface radiation. The National Renewable Energy Laboratory, University of Wisconsin, and NOAA have recently collaborated to adapt GSIP to create a high-temporal and spatial resolution data set. The product initially generates the cloud properties using the AVHRR Pathfinder Atmospheres-Extended (PATMOS-x) algorithms [Heidinger, A.K.; Foster, M.J.; Walther, A. (2013). "The Pathfinder Atmospheres Extended (PATMOS-x) AVHRR Climate Data Set." Bull. Amer. Meteor. Soc., doi: 10.1175/BAMS-D-12-00246.1] while calculating the GHI and diffuse horizontal radiation (DHI) using SASRAB. Comparisons to ground sites resulted in the finding that the satellite-based surface radiation suffered from a significant low bias. To remove this bias, we tested and applied three new radiative transfer algorithms that required aerosol optical depth and precipitable water vapor as inputs. These experiments showed significant improvement in the clear-sky radiation. The data sets are currently being incorporated into the widely used National Solar Radiation Data Base.


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    Titel :

    A physics-based GOES product for use in NREL's national solar radiation database


    Beteiligte:
    Sengupta, Manajit (Autor:in) / Habte, Aron (Autor:in) / Gotseff, Peter (Autor:in) / Weekley, Andrew (Autor:in) / Lopez, Anthony (Autor:in) / Anderberg, Mary (Autor:in) / Molling, Christine (Autor:in)


    Erscheinungsdatum :

    2014


    Format / Umfang :

    4 Seiten, Bilder, Tabellen, 6 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Datenträger


    Sprache :

    Englisch




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