{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:11:29Z","timestamp":1760195489706,"version":"build-2065373602"},"reference-count":66,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2018,2,1]],"date-time":"2018-02-01T00:00:00Z","timestamp":1517443200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003696","name":"Electronics and Telecommunications Research Institute","doi-asserted-by":"publisher","award":["NMSC-2016-01"],"award-info":[{"award-number":["NMSC-2016-01"]}],"id":[{"id":"10.13039\/501100003696","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This study developed a retrieval algorithm for reflected shortwave radiation at the top of the atmosphere (RSR). This algorithm is based on Himawari-8\/AHI (Advanced Himawari Imager) whose sensor characteristics and observation area are similar to the next-generation Geostationary Korea Multi-Purpose Satellite\/Advanced Meteorological Imager (GK-2A\/AMI). This algorithm converts the radiance into reflectance for six shortwave channels and retrieves the RSR with a regression coefficient look-up-table according to geometry of the solar-viewing (solar zenith angle, viewing zenith angle, and relative azimuth angle) and atmospheric conditions (surface type and absence\/presence of clouds), and removed sun glint with high uncertainty. The regression coefficients were calculated using numerical experiments from the radiative transfer model (SBDART), and ridge regression for broadband albedo at the top of the atmosphere (TOA albedo) and narrowband reflectance considering anisotropy. The retrieved RSR were validated using Terra, Aqua, and S-NPP\/CERES data on the 15th day of every month from July 2015 to February 2017. The coefficient of determination (R2) between AHI and CERES for scene analysis was higher than 0.867 and the Bias and root mean square error (RMSE) were \u221221.34\u20135.52 and 51.74\u201359.28 Wm\u22122. The R2, Bias, and RMSE for the all cases were 0.903, \u22122.34, and 52.12 Wm\u22122, respectively.<\/jats:p>","DOI":"10.3390\/rs10020213","type":"journal-article","created":{"date-parts":[[2018,2,2]],"date-time":"2018-02-02T04:20:50Z","timestamp":1517545250000},"page":"213","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Retrieval of Reflected Shortwave Radiation at the Top of the Atmosphere Using Himawari-8\/AHI Data"],"prefix":"10.3390","volume":"10","author":[{"given":"Sang-Ho","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Atmospheric and Environmental Sciences, Gangneung-Wonju National University, 7, Jukheon-gil, Gangneung-si, Gangwon-do 25457, Korea"},{"name":"Research Institute for Radiation-Satellite, Gangneung-Wonju National University, 7, Jukheon-gil, Gangneung-si, Gangwon-do 25457, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6581-5011","authenticated-orcid":false,"given":"Bu-Yo","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Atmospheric and Environmental Sciences, Gangneung-Wonju National University, 7, Jukheon-gil, Gangneung-si, Gangwon-do 25457, Korea"},{"name":"Research Institute for Radiation-Satellite, Gangneung-Wonju National University, 7, Jukheon-gil, Gangneung-si, Gangwon-do 25457, Korea"}]},{"given":"Kyu-Tae","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Atmospheric and Environmental Sciences, Gangneung-Wonju National University, 7, Jukheon-gil, Gangneung-si, Gangwon-do 25457, Korea"},{"name":"Research Institute for Radiation-Satellite, Gangneung-Wonju National University, 7, Jukheon-gil, Gangneung-si, Gangwon-do 25457, Korea"}]},{"given":"Il-Sung","family":"Zo","sequence":"additional","affiliation":[{"name":"Research Institute for Radiation-Satellite, Gangneung-Wonju National University, 7, Jukheon-gil, Gangneung-si, Gangwon-do 25457, Korea"}]},{"given":"Hyun-Seok","family":"Jung","sequence":"additional","affiliation":[{"name":"Department of Atmospheric and Environmental Sciences, Gangneung-Wonju National University, 7, Jukheon-gil, Gangneung-si, Gangwon-do 25457, Korea"},{"name":"Research Institute for Radiation-Satellite, Gangneung-Wonju National University, 7, Jukheon-gil, Gangneung-si, Gangwon-do 25457, Korea"}]},{"given":"Se-Hun","family":"Rim","sequence":"additional","affiliation":[{"name":"Department of Atmospheric and Environmental Sciences, Gangneung-Wonju National University, 7, Jukheon-gil, Gangneung-si, Gangwon-do 25457, Korea"},{"name":"Research Institute for Radiation-Satellite, Gangneung-Wonju National University, 7, Jukheon-gil, Gangneung-si, Gangwon-do 25457, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2018,2,1]]},"reference":[{"key":"ref_1","unstructured":"AWG Radiation Budget Application Team (2017, November 28). GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for Downward Shortwave Radiation (Surface), and Reflected Shortwave Radiation (TOA), NOAA NESDIS Center for Satellite Applications and Research, 27 September 2010, Available online: https:\/\/www.goes-r.gov\/products\/ATBDs\/baseline\/baseline-DSR-v2.0.pdf."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2813","DOI":"10.5194\/amt-9-2813-2016","article-title":"Top-of-the-atmosphere shortwave flux estimation from satellite observations: An empirical neural network approach applied with data from the a-train constellation","volume":"9","author":"Bhartia","year":"2016","journal-title":"Atmos. Meas. Tech."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1007\/s13143-012-0028-0","article-title":"Enhanced aerosol-cloud relationships in more stable and adiabatic clouds","volume":"48","author":"Kim","year":"2012","journal-title":"Asia-Pac. J. Atmos. Sci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1038\/nclimate2067","article-title":"Global warming and changes in drought","volume":"4","author":"Trenberth","year":"2014","journal-title":"Nat. Clim. Chang."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1072","DOI":"10.1175\/JTECH-D-12-00136.1","article-title":"Geostationary enhanced temporal interpolation for CERES flux products","volume":"30","author":"Doelling","year":"2013","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1002\/2014RG000449","article-title":"The albedo of earth","volume":"53","author":"Stephens","year":"2015","journal-title":"Rev. Geophys."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2847","DOI":"10.5194\/acp-5-2847-2005","article-title":"Global distribution of earth\u2019s surface shortwave radiation budget","volume":"5","author":"Hatzianastassiou","year":"2005","journal-title":"Atmos. Chem. Phys."},{"key":"ref_8","unstructured":"Stubenrauch, C., Rossow, W., and Kinne, S. (2012). Assessment of global cloud data sets from satellites a project of the world climate research programme global energy and water cycle experiment (GEWEX) radiation panel lead authors. Am. Meteorol. Soc."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1029\/RG024i002p00391","article-title":"The earth radiation budget experiment nonscanner instrument","volume":"24","author":"Luther","year":"1986","journal-title":"Rev. Geophys."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1175\/1520-0477(1996)077<0853:CATERE>2.0.CO;2","article-title":"Clouds and the earth\u2019s radiant energy system (CERES): An earth observing system experiment","volume":"77","author":"Wielicki","year":"1996","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.rse.2016.03.008","article-title":"Estimating high-resolution top of atmosphere albedo from moderate resolution imaging spectroradiometer data","volume":"178","author":"Wang","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1383","DOI":"10.1080\/01431161.2011.571298","article-title":"Revisiting satellite radiative flux computations at the top of the atmosphere","volume":"33","author":"Niu","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Buriez, J.C., Parol, F., Poussi, Z., and Viollier, M. (2007). An improved derivation of the top-of-atmosphere albedo from POLDER\/ADEOS-2: 2. Broadband albedo. J. Geophys. Res. Atmos., 112.","DOI":"10.1029\/2006JD008257"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1175\/1520-0426(1988)005<0757:TRMONC>2.0.CO;2","article-title":"The relative merits of narrowband channels for estimating broadband albedos","volume":"5","author":"Laszlo","year":"1988","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_15","unstructured":"Wydick, J.E., Davis, P.A., and Gruber, A. (1987). Estimation of Broadband Planetary Albedo from Operational Narrowband Satellite Measurements."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1175\/1520-0450(2003)042<0240:ADMFTO>2.0.CO;2","article-title":"Angular distribution models for top-of-atmosphere radiative flux estimation from the clouds and the earth\u2019s radiant energy system instrument on the tropical rainfall measuring mission satellite. Part I: Methodology","volume":"42","author":"Loeb","year":"2003","journal-title":"J. Appl. Meteorol."},{"key":"ref_17","unstructured":"Viollier, M. (2001, January 2\u20136). Restitution of longwave and shortwave radiative fluxes at the top of the atmosphere from combination of scarab and meteosat data. Proceedings of the Megha-Tropiques 2nd Scientific Workshop, Paris, France."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2627","DOI":"10.5194\/amt-6-2627-2013","article-title":"A fast method for the retrieval of integrated longwave and shortwave top-of-atmosphere upwelling irradiances from MSG\/SEVIRI (RRUMS)","volume":"6","author":"Mayer","year":"2013","journal-title":"Atmos. Meas. Tech."},{"key":"ref_19","unstructured":"Berk, A., Bernstein, L., and Robertson, D. (1983). Modtran: A Moderate Resolution Model for LOWTRAN 7, Air Force Geophysical Laboratory, Hanscom Air Force Base. Rep. AFGL-TR-83-0187."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1016\/j.rse.2017.10.006","article-title":"Retrieval of outgoing longwave radiation at top-of-atmosphere using himawari-8 AHI data","volume":"204","author":"Kim","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_21","first-page":"66","article-title":"Earth and environmental remote sensing community in South Korea: A review","volume":"2","author":"Choi","year":"2015","journal-title":"Remote Sens. Appl. Soc. Environ."},{"key":"ref_22","unstructured":"Murata, H., Takahashi, M., and Kosaka, Y. (2018, January 30). Vis and IR bands of Himawari-8\/AHI compatible with those of MTSAT-2\/Imager. Available online: www.data.jma.go.jp\/mscweb\/technotes\/msctechrep60.pdf."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Lee, S.-H., Lee, K.-T., Kim, B.-Y., Zo, I.-S., Jung, H.-S., and Rim, S.-H. (2017). Retrieval Algorithm for Broadband Albedo at the Top of the Atmosphere. Asia Pac. J. Atmos. Sci., accepted.","DOI":"10.1007\/s13143-018-0001-7"},{"key":"ref_24","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. Am. Meteorol. Soc."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"151","DOI":"10.2151\/jmsj.2016-009","article-title":"An introduction to himawari-8\/9\u2014Japan\u2019s new-generation geostationary meteorological satellites","volume":"94","author":"Bessho","year":"2016","journal-title":"J. Meteorol. Soc. Jpn. Ser. II"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Puschell, J.J., Lowe, H.A., Jeter, J.W., Kus, S.M., Hurt, W.T., Gilman, D., Rogers, D.L., Hoelter, R.L., and Ravella, R. (2002, January 7\u201311). Japanese Advanced Meteorological Imager: A next-generation geo imager for MTSAT-1R. Proceedings of the Earth Observing Systems VII, Seattle, WA, USA.","DOI":"10.1117\/12.453755"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1142","DOI":"10.1109\/TGRS.2013.2247768","article-title":"Early on-orbit performance of the visible infrared imaging radiometer suite onboard the Suomi National Polar-Orbiting Partnership (S-NPP) satellite","volume":"52","author":"Cao","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Yu, F., and Wu, X. (2016). Radiometric inter-calibration between Himawari-8 AHI and S-NPP VIIRS for the solar reflective bands. Remote Sens., 8.","DOI":"10.3390\/rs8030165"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Paden, J., Smith, G.L., Lee, R.B., Pandey, D.K., and Thomas, S. (1997, January 21\u201325). Reality check: A point response function (PRF) comparison of theory to measurements for the clouds and the earth\u2019s radiant energy system (CERES) tropical rainfall measuring mission (TRMM) instrument. Proceedings of the Visual Information Processing VI, Orlando, FL, USA.","DOI":"10.1117\/12.280612"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3297","DOI":"10.5194\/amt-8-3297-2015","article-title":"Next-generation angular distribution models for top-of-atmosphere radiative flux calculation from CERES instruments: Validation","volume":"8","author":"Su","year":"2015","journal-title":"Atmos. Meas. Tech."},{"key":"ref_31","unstructured":"Zerefos, C.S., Isaksen, I.S., and Ziomas, I. (2012). Chemistry and Radiation Changes in the Ozone Layer, Springer Science & Business Media."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Blanc, P., Gschwind, B., Lefevre, M., and Wald, L. (2014, January 13\u201318). Twelve monthly maps of ground albedo parameters derived from MODIS data sets. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Quebec City, QC, Canada.","DOI":"10.1109\/IGARSS.2014.6947177"},{"key":"ref_33","unstructured":"Liang, S. (2005). Quantitative Remote Sensing of Land Surfaces, John Wiley & Sons."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"5239","DOI":"10.1175\/JCLI3555.1","article-title":"Surface contribution to planetary albedo variability in cryosphere regions","volume":"18","author":"Qu","year":"2005","journal-title":"J. Clim."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Kopp, G., and Lean, J.L. (2011). A new, lower value of total solar irradiance: Evidence and climate significance. Geophys. Res. Lett., 38.","DOI":"10.1029\/2010GL045777"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/0038-092X(88)90045-X","article-title":"The astronomical almanac\u2019s algorithm for approximate solar position (1950\u20132050)","volume":"40","author":"Michalsky","year":"1988","journal-title":"Sol. Energy"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"393","DOI":"10.2136\/sssaj2003.0285","article-title":"Spectral reflectance methodology in comparison to traditional soil analysis","volume":"70","author":"Nanni","year":"2006","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_38","first-page":"5804","article-title":"Downscaling albedo from moderate-resolution imaging spectroradiometer (MODIS) to advanced space-borne thermal emission and reflection radiometer (ASTER) over an agricultural area utilizing aster visible-near infrared spectral bands","volume":"6","author":"Mokhtari","year":"2011","journal-title":"Int. J. Phys. Sci."},{"key":"ref_39","unstructured":"Draper, N.R., Smith, H., and Pownell, E. (1966). Applied Regression Analysis, Wiley."},{"key":"ref_40","unstructured":"Kleinbaum, D., Kupper, L., Nizam, A., and Rosenberg, E. (2013). Applied Regression Analysis and Other Multivariable Methods, Nelson Education."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"31255","DOI":"10.1029\/1999JD900935","article-title":"Top-of-atmosphere albedo estimation from angular distribution models: A comparison between two approaches","volume":"104","author":"Loeb","year":"1999","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1269","DOI":"10.1175\/1520-0442(2000)013<1269:TOAAEF>2.0.CO;2","article-title":"Top-of-atmosphere albedo estimation from angular distribution models using scene identification from satellite cloud property retrievals","volume":"13","author":"Loeb","year":"2000","journal-title":"J. Clim."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Kato, S., and Marshak, A. (2009). Solar zenith and viewing geometry-dependent errors in satellite retrieved cloud optical thickness: Marine stratocumulus case. J. Geophys. Res. Atmos., 114.","DOI":"10.1029\/2008JD010579"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Gardner, A.S., and Sharp, M.J. (2010). A review of snow and ice albedo and the development of a new physically based broadband albedo parameterization. J. Geophys. Res. Earth Surf., 115.","DOI":"10.1029\/2009JF001444"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1474","DOI":"10.1175\/1520-0442(2002)015<1474:TOADRE>2.0.CO;2","article-title":"Top-of-atmosphere direct radiative effect of aerosols over the tropical oceans from the clouds and the earth\u2019s radiant energy system (CERES) satellite instrument","volume":"15","author":"Loeb","year":"2002","journal-title":"J. Clim."},{"key":"ref_46","unstructured":"Geier, E., Green, R., Kratz, D., Minnis, P., Miller, W., Nolan, S., and Franklin, C. (2017, November 28). Clouds and the Earth\u2019s Radiant Energy System (CERES), Available online: https:\/\/ceres.larc.nasa.gov\/documents\/collect_guide\/pdf\/SSF_CG.pdf."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1016\/j.jqsrt.2009.10.001","article-title":"Evaluation of sun glint models using MODIS measurements","volume":"111","author":"Zhang","year":"2010","journal-title":"J. Quant. Spectrosc. Radiat. Transf."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"697","DOI":"10.3390\/rs1040697","article-title":"Sun glint correction of high and low spatial resolution images of aquatic scenes: A review of methods for visible and near-infrared wavelengths","volume":"1","author":"Kay","year":"2009","journal-title":"Remote Sens."},{"key":"ref_49","unstructured":"Wilks, D.S. (2011). Statistical Methods in the Atmospheric Sciences, Academic Press."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Benesty, J., Chen, J., Huang, Y., and Cohen, I. (2009). Pearson correlation coefficient. Noise Reduction in Speech Processing, Springer.","DOI":"10.1007\/978-3-642-00296-0_5"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1175\/1520-0493(1983)111<0046:SFSAID>2.0.CO;2","article-title":"Statistical field significance and its determination by Monte Carlo techniques","volume":"111","author":"Livezey","year":"1983","journal-title":"Mon. Weather Rev."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Thomas, S., Priestley, K., Shankar, M., Smith, N., and Timcoe, M. (2011). Pre-launch sensor characterization of the CERES flight model 5 (FM5) instrument on NPP mission. Proc. SPIE.","DOI":"10.1117\/12.894663"},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Lu, N., Liu, R., Liu, J., and Liang, S. (2010). An algorithm for estimating downward shortwave radiation from GMS 5 visible imagery and its evaluation over china. J. Geophys. Res. Atmos., 115.","DOI":"10.1029\/2009JD013457"},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Vermote, E.F., and Kotchenova, S. (2008). Atmospheric correction for the monitoring of land surfaces. J. Geophys. Res. Atmos., 113.","DOI":"10.1029\/2007JD009662"},{"key":"ref_55","unstructured":"Sena, E., Artaxo, P., and Correia, A. (May, January 27). The effects of smoke aerosols, land-use change and water vapor reduction on the shortwave radiative budget over the Amaz\u00f4nia. Proceedings of the EGU General Assembly Conference Abstracts, Vienna, Austria."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1741","DOI":"10.1080\/01431160500107015","article-title":"Angular distribution models anisotropic correction factors and sun glint: A sensitivity study","volume":"27","author":"Bertrand","year":"2006","journal-title":"Int. J. Remote Sens."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.rse.2017.07.013","article-title":"Extensive validation of CM SAF surface radiation products over europe","volume":"199","author":"Urraca","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_58","first-page":"C2233","article-title":"Interactive comment on \u201cshortwave surface radiation budget network for observing small-scale cloud inhomogeneity fields\u201d by B.L. Madhavan et al","volume":"8","author":"Madhavan","year":"2015","journal-title":"Atmos. Meas. Tech. Discuss."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Li, Z., Cribb, M., Chang, F.L., Trishchenko, A., and Luo, Y. (2005). Natural variability and sampling errors in solar radiation measurements for model validation over the atmospheric radiation measurement southern great plains region. J. Geophys. Res. Atmos., 110.","DOI":"10.1029\/2004JD005028"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"4022","DOI":"10.1109\/TGRS.2017.2686599","article-title":"Estimating top-of-atmosphere daily reflected shortwave radiation flux over land from modis data","volume":"55","author":"Wang","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"He, L., Wang, L., Lin, A., Zhang, M., Bilal, M., and Tao, M. (2017). Aerosol optical properties and associated direct radiative forcing over the Yangtze River basin during 2001\u20132015. Remote Sens., 9.","DOI":"10.3390\/rs9070746"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"25","DOI":"10.2151\/sola.2010-007","article-title":"Cirrus cloud radiative forcing derived from synergetic use of MODIS analyses and ground-based observations","volume":"6","author":"Katagiri","year":"2010","journal-title":"Sola"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Allan, R.P., Slingo, A., Milton, S.F., and Culverwell, I. (2005). Exploitation of geostationary earth radiation budget data using simulations from a numerical weather prediction model: Methodology and data validation. J. Geophys. Res. Atmos., 110.","DOI":"10.1029\/2004JD005698"},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Urbain, M., Clerbaux, N., Ipe, A., Tornow, F., Hollmann, R., Baudrez, E., Velazquez Blazquez, A., and Moreels, J. (2017). The CM SAF TOA radiation data record using MVIRI and SEVIRI. Remote Sens., 9.","DOI":"10.3390\/rs9050466"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"12070","DOI":"10.3390\/rs61212070","article-title":"Global land cover mapping: A review and uncertainty analysis","volume":"6","author":"Congalton","year":"2014","journal-title":"Remote Sens."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1175\/JTECH-D-15-0147.1","article-title":"Advances in geostationary-derived longwave fluxes for the CERES synoptic (SYN1deg) product","volume":"33","author":"Doelling","year":"2016","journal-title":"J. Atmos. Ocean. Technol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/2\/213\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T14:53:21Z","timestamp":1760194401000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/2\/213"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2,1]]},"references-count":66,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2018,2]]}},"alternative-id":["rs10020213"],"URL":"https:\/\/doi.org\/10.3390\/rs10020213","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2018,2,1]]}}}