@Article{CeballosPorfOricPoss:2022:ChAnRe,
               author = "Ceballos, Juan Carlos and Porfirio, Anthony Carlos Silva and 
                         Oricchi, Patricio Alberto and Posse, Gabriela",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and Instituto de Clima y 
                         Agua, Centro de Investigaci{\'o}n de Recursos Naturales (CIRN) 
                         and Instituto de Clima y Agua, Centro de Investigaci{\'o}n de 
                         Recursos Naturales (CIRN)",
                title = "Characterization of the annual regime of surface solar irradiance 
                         over Argentine Pampean Region using GL1.2 satellite-based data",
              journal = "Renewable Energy",
                 year = "2022",
               volume = "194",
                pages = "526--537",
                month = "July",
             keywords = "Argentine pampa, GL model, Satellite-based data, Shortwave 
                         radiation climate, Solar radiation, Time series periodicities.",
             abstract = "Detailed description of the solar resource (spatial distribution 
                         and temporal variations) is highly desirable in the context of 
                         climate monitoring, agricultural planning and energy technologies; 
                         however, one shortcoming is the low density of solarimetric 
                         networks in many extended regions. Satellite-based estimations 
                         have become a potential key tool, provided their data show 
                         adequate temporal frequency, high resolution and acceptable 
                         accuracy. GL1.2 Model currently runs at Brazilian National 
                         Institute for Space Research (CPTEC/INPE), based on GOES VIS 
                         channel imagery. It was tested for characterizing solar radiation 
                         regime over Pampa Region in Argentina, which extends over more 
                         than 600,000 km2. Comparison with time series of nine stations of 
                         the Pampa network in the period 20112018 showed close agreement 
                         for daily mean irradiance using 10-days as well as monthly values 
                         (mean bias error generally |MBE| < 6 W m-2 standard deviation STD 
                         \≈ 10-15 W m-2 and resulting root mean square error RMSE 
                         \≈ 1016 W m\−2). Completeness of GL time series and 
                         high spatial definition (0.04°) allowed further time and space 
                         analysis of solar radiation regime. It confirmed that Pampean 
                         region is rather homogeneous with annual mean GL increasing from 
                         185 W m\−2 on coastal region up to 220 W m\−2 on the 
                         western and northern limits. In addition, GL data detects sharper 
                         variations in a scale of few kilometers, such as transition 
                         between ground and water in oceanic coast or large rivers. 
                         Regional interannual variability is low: COV \≈ 34%. All 
                         stations in Pampa network show a well definite annual cycle, 
                         closely followed by GL estimates. Fourier analysis for GL monthly 
                         series shows a dominant deterministic one year signal (H8 
                         harmonic), accounting for 9395% of variance for all stations and 
                         throughout the Pampa region, in phase with the end of Southern 
                         Hemisphere spring. The H8 amplitude varies from 100 W m\−2 
                         along inner continental boundary up to 120 in southwestern and 
                         coastal bound. It is concluded that GL 1.2 model data can be used 
                         to accurately describe time series of daily mean irradiance, for 
                         10-days and monthly scales and 4 km resolution, providing a Test 
                         Reference Year (TRY). This is precious in order to describe 
                         spatial-temporal patterns of regional solar climate. An otherwise 
                         random signal of 20 W m\−2 is associated to transient 
                         meteorological phenomena with durations shorter than 10-days, such 
                         as cold fronts or convective activity. Their deterministic and/or 
                         statistical structure could be improved by the combined analysis 
                         of short-time scales Pampa network and GL data (daily, hourly or 
                         even minutely).",
                  doi = "10.1016/j.renene.2022.05.038",
                  url = "http://dx.doi.org/10.1016/j.renene.2022.05.038",
                 issn = "0960-1481",
             language = "en",
           targetfile = "1-s2.0-S0960148122006796-main.pdf",
        urlaccessdate = "06 jun. 2024"
}