{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T18:04:33Z","timestamp":1771697073097,"version":"3.50.1"},"reference-count":59,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2022,4,30]],"date-time":"2022-04-30T00:00:00Z","timestamp":1651276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003702","name":"Korea Institute of Energy Research","doi-asserted-by":"publisher","award":["C2-2410"],"award-info":[{"award-number":["C2-2410"]}],"id":[{"id":"10.13039\/501100003702","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In solar resource assessment, the climatological environment of the target area is objectively quantified by the cloudiness or clear sky index, which is defined as the ratio of global horizontal irradiance to clear sky solar insolation. The clear sky model calculates incoming solar irradiance on the ground surface considering several atmospheric parameters such as water vapor and aerosol optical depth. This study investigated the importance of aerosol optical depth for deriving clear sky irradiance in radiative transfer models and examined its viability in a universal or community model for public use. The evaluation was conducted based on ground observations at the Korea Institute of Energy Research (KIER) station from January to December 2021. The original simulation was performed using the monthly mean of aerosol optical depth obtained from the Aerosol Robotic Network station; the mean absolute error was 29.9 W m\u22122. When the daily mean of in situ observations at KIER was incorporated into the clear sky model, the mean absolute error was reduced to 9.7 W m\u22122. Our results confirm that the clear sky model using gridded datasets of aerosol optical depth is suitable for use as a universal or community model.<\/jats:p>","DOI":"10.3390\/rs14092167","type":"journal-article","created":{"date-parts":[[2022,5,2]],"date-time":"2022-05-02T07:08:58Z","timestamp":1651475338000},"page":"2167","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Improved Clear Sky Model from In Situ Observations and Spatial Distribution of Aerosol Optical Depth for Satellite-Derived Solar Irradiance over the Korean Peninsula"],"prefix":"10.3390","volume":"14","author":[{"given":"Chang Ki","family":"Kim","sequence":"first","affiliation":[{"name":"New and Renewable Energy Resource Map Laboratory, Korea Institute of Energy Research, Daejeon 34129, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4985-4157","authenticated-orcid":false,"given":"Hyun-Goo","family":"Kim","sequence":"additional","affiliation":[{"name":"New and Renewable Energy Resource Map Laboratory, Korea Institute of Energy Research, Daejeon 34129, Korea"}]},{"given":"Yong-Heack","family":"Kang","sequence":"additional","affiliation":[{"name":"New and Renewable Energy Resource Map Laboratory, Korea Institute of Energy Research, Daejeon 34129, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Venkatramanan, V., Shah, S., and Prasad, R. (2021). Renewable Energy for a Low-Carbon Future: Policy Perspectives. Sustainable Bioeconomy: Pathways to Sustainable Development Goals, Springer.","DOI":"10.1007\/978-981-15-7321-7"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1051\/rees\/2021004","article-title":"Up-date: Renewable energy and climate change","volume":"6","author":"Sayigh","year":"2021","journal-title":"Renew. Energy Environ. Sustain."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1007\/s007040050084","article-title":"Effective Accuracy of Satellite-Derived Hourly Irradiances","volume":"62","author":"Zelenka","year":"1999","journal-title":"Theor. Appl. Climatol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"768","DOI":"10.1016\/j.solener.2006.10.003","article-title":"Analysis of satellite derived beam and global solar radiation data","volume":"81","author":"Vignola","year":"2007","journal-title":"Sol. Energy"},{"key":"ref_5","unstructured":"Kleissl, J.P. (2013). Solar Energy Forecasting and Resource Assessment, Academic Press. [1st ed.]."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.renene.2015.06.027","article-title":"Where, when and how much solar is available? A provincial-scale solar resource assessment for China","volume":"85","author":"He","year":"2016","journal-title":"Renew. Energy"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1016\/j.solener.2016.05.061","article-title":"Combining solar resource mapping and energy system integration methods for realistic valuation of urban solar energy potential","volume":"135","author":"Wegertseder","year":"2016","journal-title":"Sol. Energy"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.rser.2018.08.023","article-title":"A correct validation of the National Solar Radiation Data Base (NSRDB)","volume":"97","author":"Yang","year":"2018","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2042","DOI":"10.1175\/1520-0442-11.8.2042","article-title":"Means and Trends of Shortwave Irradiance at the Surface Estimated from Global Energy Balance Archive Data","volume":"11","author":"Gilgen","year":"1998","journal-title":"J. Clim."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1503","DOI":"10.1175\/JCLI3354.1","article-title":"Solar Radiation Changes in the United States during the Twentieth Century: Evidence from Sunshine Duration Measurements","volume":"18","author":"Stanhill","year":"2005","journal-title":"J. Clim."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"16839","DOI":"10.1029\/91JC01754","article-title":"Spatial and temporal variability of global surface solar irradiance","volume":"96","author":"Bishop","year":"1991","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"6883","DOI":"10.1029\/96JD03865","article-title":"Surface solar irradiance from the International Satellite Cloud Climatology Project 1983\u20131991","volume":"102","author":"Bishop","year":"1997","journal-title":"J. Geophys. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1214","DOI":"10.1016\/j.renene.2010.09.023","article-title":"Estimation of solar radiation over Cambodia from long-term satellite data","volume":"36","author":"Janjai","year":"2011","journal-title":"Renew. Energy"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.rser.2018.03.003","article-title":"The National Solar Radiation Data Base (NSRDB)","volume":"89","author":"Sengupta","year":"2018","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"110285","DOI":"10.1016\/j.rser.2020.110285","article-title":"Long-term spatial and temporal solar resource variability over America using the NSRDB version 3 (1998\u20132017)","volume":"134","author":"Habte","year":"2020","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"111371","DOI":"10.1016\/j.rse.2019.111371","article-title":"Estimating surface solar irradiance from satellites: Past, present, and future perspectives","volume":"233","author":"Huang","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2101","DOI":"10.1175\/1520-0477(1998)079<2101:SARATS>2.0.CO;2","article-title":"SBDART: A Research and Teaching Software Tool for Plane-Parallel Radiative Transfer in the Earth\u2019s Atmosphere","volume":"79","author":"Ricchiazzi","year":"1998","journal-title":"Bull. Amer. Meteorol. Soc."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1855","DOI":"10.5194\/acp-5-1855-2005","article-title":"Technical note: The libRadtran software package for radiative transfer calculations\u2014Description and examples of use","volume":"5","author":"Mayer","year":"2005","journal-title":"Atmos. Chem. Phys."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1175\/1520-0450(1992)031<0194:MSSIFS>2.0.CO;2","article-title":"Modeling Surface Solar Irradiance for Satellite Applications on a Global Scale","volume":"31","author":"Pinker","year":"1992","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1419","DOI":"10.1175\/1520-0469(1989)046<1419:AGPFTS>2.0.CO;2","article-title":"A GCM Parameterization for the Shortwave Radiative Properties of Water Clouds","volume":"46","author":"Slingo","year":"1989","journal-title":"J. Atmos. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1175\/1520-0450(1996)035<0653:AOASAB>2.0.CO;2","article-title":"Alteration of Atmospheric Solar Absorption by Clouds: Simulation and Observation","volume":"35","author":"Li","year":"1996","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1522","DOI":"10.1016\/j.rse.2010.02.007","article-title":"Estimation of net radiation from the MODIS data under all sky conditions: Southern Great Plains case study","volume":"114","author":"Bisht","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1016\/j.solener.2018.09.056","article-title":"A Fast All-sky Radiation Model for Solar applications with Narrowband Irradiances on Tilted surfaces (FARMS-NIT): Part I. The clear-sky model","volume":"174","author":"Xie","year":"2018","journal-title":"Sol. Energy"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/0038-092X(86)90104-0","article-title":"A method for the determination of the global solar radiation from meteorological satellite data","volume":"37","author":"Cano","year":"1986","journal-title":"Sol. Energy"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.solener.2004.04.017","article-title":"The method Heliosat-2 for deriving shortwave solar radiation from satellite images","volume":"77","author":"Rigollier","year":"2004","journal-title":"Sol. Energy"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1127\/metz\/2016\/0781","article-title":"Fast radiative transfer parameterisation for assessing the surface solar irradiance: The Heliosat?\u20144 Method","volume":"26","author":"Qu","year":"2017","journal-title":"Meteorol. Z."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.renene.2018.11.099","article-title":"Analysis of satellite derived solar irradiance in islands with site adaptation techniques for improving the uncertainty","volume":"135","author":"Polo","year":"2019","journal-title":"Renew. Energy"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1016\/j.solener.2016.03.017","article-title":"Validation of models that estimate the clear sky global and beam solar irradiance","volume":"132","author":"Ineichen","year":"2016","journal-title":"Sol. Energy"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1016\/j.rser.2019.02.032","article-title":"Clear sky solar irradiance models: A review of seventy models","volume":"107","author":"Urraca","year":"2019","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1016\/j.rser.2019.04.006","article-title":"Worldwide performance assessment of 75 global clear-sky irradiance models using Principal Component Analysis","volume":"111","author":"Sun","year":"2019","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"110087","DOI":"10.1016\/j.rser.2020.110087","article-title":"Worldwide performance assessment of 95 direct and diffuse clear-sky irradiance models using principal component analysis","volume":"135","author":"Sun","year":"2021","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_32","first-page":"605","article-title":"An Improved Validation Technique for the Temporal Discrepancy when Estimated Solar Surface Insolation Compare with Ground-based Pyranometer: MTSAT-1R Data use","volume":"24","author":"Yeom","year":"2008","journal-title":"Korean J. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1007\/s13143-016-0024-x","article-title":"Analysis of solar radiation on the surface estimated from GWNU solar radiation model with temporal resolution of satellite cloud fraction","volume":"52","author":"Zo","year":"2016","journal-title":"Asia-Pac. J. Atmos. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2773","DOI":"10.1007\/s00024-017-1578-y","article-title":"Toward Improved Solar Irradiance Forecasts: Comparison of the Global Horizontal Irradiances Derived from the COMS Satellite Imagery Over the Korean Peninsula","volume":"174","author":"Kim","year":"2017","journal-title":"Pure Appl. Geophys."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Kim, C.K., Kim, H.-G., Kang, Y.-H., Yun, C.-Y., and Lee, Y.G. (2020). Intercomparison of Satellite-Derived Solar Irradiance from the GEO-KOMSAT-2A and HIMAWARI-8\/9 Satellites by the Evaluation with Ground Observations. Remote Sens., 12.","DOI":"10.3390\/rs12132149"},{"key":"ref_36","unstructured":"Chou, M.-D., and Suarez, M.J. (1999). A Solar Radiation Parameterization for Atmospheric Studies, 1999-104606."},{"key":"ref_37","unstructured":"Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Barker, D., Duda, M.G., Huang, X., Wang, W., and Powers, J.G. (2008). A Description of the Advanced Research WRF Version 3, University Corporation for Atmospheric Research. NCAR\/TN-475+STR."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1002\/qj.49710845607","article-title":"On the shortwave radiative properties of stratiform water clouds","volume":"108","author":"Slingo","year":"1982","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0034-4257(98)00031-5","article-title":"AERONET\u2014A Federated Instrument Network and Data Archive for Aerosol Characterization","volume":"66","author":"Holben","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.atmosenv.2012.02.061","article-title":"Seasonal variations of sugars in atmospheric particulate matter from Gosan, Jeju Island: Significant contributions of airborne pollen and Asian dust in spring","volume":"55","author":"Fu","year":"2012","journal-title":"Atmos. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"118348","DOI":"10.1016\/j.atmosenv.2021.118348","article-title":"Impacts of climate and land cover variability and trends on springtime East Asian dust emission over 1982\u20132010: A modeling study","volume":"254","author":"Tai","year":"2021","journal-title":"Atmos. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"112906","DOI":"10.1016\/j.rse.2022.112906","article-title":"New insights into the Asian dust cycle derived from CALIPSO lidar measurements","volume":"272","author":"Han","year":"2022","journal-title":"Remote Sens. Environ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1002\/met.87","article-title":"Spatial and temporal characteristics of aerosol optical depth over East Asia and their association with wind fields","volume":"15","author":"Bao","year":"2008","journal-title":"Meteorol. Appl."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"863","DOI":"10.1002\/joc.3728","article-title":"A climatology of aerosol optical depth over China from recent 10\u2009years of MODIS remote sensing data","volume":"34","author":"Luo","year":"2014","journal-title":"Int. J. Climatol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"12099","DOI":"10.1029\/2001JD900096","article-title":"Multiyear measurements of aerosol optical depth in the Atmospheric Radiation Measurement and Quantitative Links programs","volume":"106","author":"Michalsky","year":"2001","journal-title":"J. Geophys. Res."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.atmosenv.2015.10.058","article-title":"Trend estimates of AERONET-observed and model-simulated AOTs between 1993 and 2013","volume":"125","author":"Yoon","year":"2016","journal-title":"Atmos. Environ."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"493","DOI":"10.2151\/jmsj.81.493","article-title":"Sky Radiometer Measurements of Aerosol Optical Properties over Sapporo, Japan","volume":"81","author":"Aoki","year":"2003","journal-title":"J. Meteorol. Soc. Jpn. Ser. II"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"291","DOI":"10.2151\/jmsj.83A.291","article-title":"Characteristics of Aeolian Dust Observed by Sky-Radiometer in the Intensive Observation Period 1 (IOP1)","volume":"83A","author":"Uchiyama","year":"2005","journal-title":"J. Meteorol. Soc. Jpn. Ser. II"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"3199","DOI":"10.5194\/acp-8-3199-2008","article-title":"Intercomparison between aerosol optical properties by a PREDE skyradiometer and CIMEL sunphotometer over Beijing, China","volume":"8","author":"Che","year":"2008","journal-title":"Atmos. Chem. Phys."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"2989","DOI":"10.5194\/amt-6-2989-2013","article-title":"The Collection 6 MODIS aerosol products over land and ocean","volume":"6","author":"Levy","year":"2013","journal-title":"Atmos. Meas. Tech."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"4619","DOI":"10.5194\/amt-12-4619-2019","article-title":"Validation, comparison, and integration of GOCI, AHI, MODIS, MISR, and VIIRS aerosol optical depth over East Asia during the 2016 KORUS-AQ campaign","volume":"12","author":"Choi","year":"2019","journal-title":"Atmos. Meas. Tech."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1007\/s11869-017-0517-5","article-title":"Changes in column aerosol optical depth and ground-level particulate matter concentration over East Asia","volume":"11","author":"Nam","year":"2018","journal-title":"Air Qual. Atmos. Health"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"5419","DOI":"10.1175\/JCLI-D-16-0758.1","article-title":"The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)","volume":"30","author":"Gelaro","year":"2017","journal-title":"J. Clim."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.atmosres.2018.08.026","article-title":"Assessment of atmospheric aerosols from two reanalysis products over Australia","volume":"215","author":"Mukkavilli","year":"2019","journal-title":"Atmos. Res."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1007\/s00704-018-2490-9","article-title":"Variation in MERRA-2 aerosol optical depth over the Yangtze River Delta from 1980 to 2016","volume":"136","author":"Sun","year":"2019","journal-title":"Theor. Appl. Climatol."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"594","DOI":"10.1016\/j.solener.2019.03.043","article-title":"Climate-specific and global validation of MODIS Aqua and Terra aerosol optical depth at 452 AERONET stations","volume":"183","author":"Bright","year":"2019","journal-title":"Sol. Energy"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.solener.2015.10.010","article-title":"Extensive worldwide validation and climate sensitivity analysis of direct irradiance predictions from 1-min global irradiance","volume":"128","author":"Gueymard","year":"2016","journal-title":"Sol. Energy"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"7475","DOI":"10.5194\/acp-12-7475-2012","article-title":"Technical Note: Ozonesonde climatology between 1995 and 2011: Description, evaluation and applications","volume":"12","author":"Tilmes","year":"2012","journal-title":"Atmos. Chem. Phys."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"675","DOI":"10.5194\/acp-13-675-2013","article-title":"Assessment of the Level-3 MODIS daily aerosol optical depth in the context of surface solar radiation and numerical weather modeling","volume":"13","author":"Dudhia","year":"2013","journal-title":"Atmos. Chem. Phys."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/9\/2167\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:05:19Z","timestamp":1760137519000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/9\/2167"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,30]]},"references-count":59,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2022,5]]}},"alternative-id":["rs14092167"],"URL":"https:\/\/doi.org\/10.3390\/rs14092167","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,30]]}}}