{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T06:02:26Z","timestamp":1785391346281,"version":"3.55.0"},"reference-count":54,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2016,3,9]],"date-time":"2016-03-09T00:00:00Z","timestamp":1457481600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National High-Technology Research and Development Program of China","award":["2013AA122800"],"award-info":[{"award-number":["2013AA122800"]}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41401381, 41101310, 41331173"],"award-info":[{"award-number":["41401381, 41101310, 41331173"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Special Foundation for Young Scientists of State Laboratory of Remote Sensing Science","award":["15RC-12"],"award-info":[{"award-number":["15RC-12"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Mapping surface all-wave net radiation (Rn) is critically needed for various applications. Several existing Rn products from numerical models and satellite observations have coarse spatial resolutions and their accuracies may not meet the requirements of land applications. In this study, we develop the Global LAnd Surface Satellite (GLASS) daytime Rn product at a 5 km spatial resolution. Its algorithm for converting shortwave radiation to all-wave net radiation using the Multivariate Adaptive Regression Splines (MARS) model is determined after comparison with three other algorithms. The validation of the GLASS Rn product based on high-quality in situ measurements in the United States shows a coefficient of determination value of 0.879, an average root mean square error value of 31.61 Wm\u22122, and an average bias of \u221217.59 Wm\u22122. We also compare our product\/algorithm with another satellite product (CERES-SYN) and two reanalysis products (MERRA and JRA55), and find that the accuracy of the much higher spatial resolution GLASS Rn product is satisfactory. The GLASS Rn product from 2000 to the present is operational and freely available to the public.<\/jats:p>","DOI":"10.3390\/rs8030222","type":"journal-article","created":{"date-parts":[[2016,3,9]],"date-time":"2016-03-09T10:38:02Z","timestamp":1457519882000},"page":"222","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":52,"title":["GLASS Daytime All-Wave Net Radiation Product: Algorithm Development and Preliminary Validation"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5413-0247","authenticated-orcid":false,"given":"Bo","family":"Jiang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, and School of Geography, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2708-9183","authenticated-orcid":false,"given":"Shunlin","family":"Liang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, and School of Geography, Beijing Normal University, Beijing 100875, China"},{"name":"Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Han","family":"Ma","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, and School of Geography, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaotong","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, and School of Geography, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiqiang","family":"Xiao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, and School of Geography, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0155-6735","authenticated-orcid":false,"given":"Xiang","family":"Zhao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, and School of Geography, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8586-4243","authenticated-orcid":false,"given":"Kun","family":"Jia","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, and School of Geography, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3803-8170","authenticated-orcid":false,"given":"Yunjun","family":"Yao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, and School of Geography, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3154-1355","authenticated-orcid":false,"given":"Aolin","family":"Jia","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, and School of Geography, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2016,3,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1521","DOI":"10.1080\/01431160121189","article-title":"Daily net radiation estimated from air temperature and noaa-avhrr data: A case study for the iberian peninsula","volume":"22","author":"Hurtado","year":"2001","journal-title":"Int. J. Remote Sens."},{"key":"ref_2","unstructured":"Rosenberg, N.J., Blad, B.L., and Verma, S.B. (1983). Microclimate\u2014The Biological Environment, Wiley."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1061\/(ASCE)0733-9437(2007)133:4(380)","article-title":"Satellite-based energy balance for mapping evapotranspiration with internalized calibration (metric)\u2014model","volume":"133","author":"Allen","year":"2007","journal-title":"J. Irrig. Drain. Eng."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Wang, K.C., Dickinson, R.E., Wild, M., and Liang, S.L. (2010). Evidence for decadal variation in global terrestrial evapotranspiration between 1982 and 2002: 1. Model development. J. Geophys. Res. Atmos., 115.","DOI":"10.1029\/2009JD013671"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.rse.2015.05.013","article-title":"A satellite-based hybrid algorithm to determine the priestley-taylor parameter for global terrestrial latent heat flux estimation across multiple biomes","volume":"165","author":"Yao","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"9642","DOI":"10.1002\/jgrd.50720","article-title":"Characterizing the surface radiation budget over the tibetan plateau with ground-measured, reanalysis, and remote sensing data sets: 1. Methodology","volume":"118","author":"Shi","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"3393","DOI":"10.1007\/s00382-014-2430-z","article-title":"The energy balance over land and oceans: An assessment based on direct observations and cmip5 climate models","volume":"44","author":"Wild","year":"2015","journal-title":"Clim. Dyn."},{"key":"ref_8","unstructured":"Monteith, J.L., and Unsworth, M.H. (1990). Principles of Environmental Physics, Edward Arnold."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1109\/JSTARS.2010.2048556","article-title":"Review on estimation of land surface radiation and energy budgets from ground measurement, remote sensing and model simulations","volume":"3","author":"Liang","year":"2010","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1916","DOI":"10.1175\/JCLI-D-11-00004.1","article-title":"Evaluation of the reanalysis products from gsfc, ncep, and ecmwf using flux tower observations","volume":"25","author":"Decker","year":"2011","journal-title":"J. Clim."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Raschke, E., Bakan, S., and Kinne, S. (2006). An assessment of radiation budget data provided by the isccp and gewex-srb. Geophys. Res. Lett., 33.","DOI":"10.1029\/2005GL025503"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1015","DOI":"10.1175\/2010BAMS3001.1","article-title":"The ncep climate forecast system reanalysis","volume":"91","author":"Saha","year":"2010","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"5721","DOI":"10.1175\/2011JCLI4175.1","article-title":"Global energy and water budgets in merra","volume":"24","author":"Bosilovich","year":"2011","journal-title":"J. Clim."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2961","DOI":"10.1256\/qj.04.176","article-title":"The era-40 re-analysis","volume":"131","author":"Uppala","year":"2005","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_15","first-page":"26","article-title":"New ecmwf reanalysis products from 1989 onwards","volume":"110","author":"Simmons","year":"2006","journal-title":"ECMWF Newslett."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"5","DOI":"10.2151\/jmsj.2015-001","article-title":"The jra-55 reanalysis: General specifications and basic characteristics","volume":"93","author":"Kobayashi","year":"2015","journal-title":"J. Meteor. Soc. Japan"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1631","DOI":"10.1175\/BAMS-83-11-1631","article-title":"Ncep-doe amip-ii reanalysis (r-2)","volume":"83","author":"Kanamitsu","year":"2002","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1127","DOI":"10.1109\/36.701020","article-title":"Clouds and the earth\u2019s radiant energy system (ceres): Algorithm overview","volume":"36","author":"Wielicki","year":"1998","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"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":"2799","DOI":"10.1175\/1520-0469(1997)054<2799:MSPITI>2.0.CO;2","article-title":"Multiple scattering parameterization in thermal infrared radiative transfer","volume":"54","author":"Fu","year":"1997","journal-title":"J. Atmos. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"D19105","DOI":"10.1029\/2003JD004457","article-title":"Calculation of radiative fluxes from the surface to top of atmosphere based on isccp and other global data sets: Refinements of the radiative transfer model and the input data","volume":"109","author":"Zhang","year":"2004","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1016\/j.rse.2015.05.015","article-title":"Analysis of surface incident shortwave radiation from four satellite products","volume":"165","author":"Zhang","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"4825","DOI":"10.1002\/2015JD023178","article-title":"Estimating daily mean land surface albedo from modis data","volume":"120","author":"Wang","year":"2015","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"3428","DOI":"10.1109\/TGRS.2013.2272935","article-title":"Fusion of satellite land surface albedo products across scales using a multiresolution tree method in the north central united states","volume":"52","author":"He","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.rse.2015.03.022","article-title":"Estimating clear-sky all-wave net radiation from combined visible and shortwave infrared (vswir) and thermal infrared (tir) remote sensing data","volume":"167","author":"Wang","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"10788","DOI":"10.3390\/rs70810788","article-title":"Net surface shortwave radiation from goes imagery-product evaluation using ground-based measurements from surfrad","volume":"7","author":"Inamdar","year":"2015","journal-title":"Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"6224","DOI":"10.3390\/rs70506224","article-title":"Surface shortwave net radiation estimation from fengyun-3 mersi data","volume":"7","author":"Wang","year":"2015","journal-title":"Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"5519","DOI":"10.1109\/TGRS.2015.2424716","article-title":"Estimation of daily surface shortwave net radiation from the combined modis data","volume":"53","author":"Wang","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2015.10.003","article-title":"Development of a general model to estimate the instantaneous, daily, and daytime net radiation with satellite data on clear-sky days","volume":"171","author":"Carmona","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1023\/A:1002787922933","article-title":"Empirical models for estimating net radiative flux: A case study for three mid-latitude sites with orographic variability","volume":"273","author":"Iziomon","year":"2000","journal-title":"Astrophys. Space Sci."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1007\/s10546-006-9151-8","article-title":"Long-term comparisons of net radiation calculation schemes","volume":"123","author":"Kjaersgaard","year":"2007","journal-title":"Bound.-Layer Meteorol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1007\/s00704-008-0091-8","article-title":"Comparison of the performance of net radiation calculation models","volume":"98","author":"Kjaersgaard","year":"2009","journal-title":"Theor. Appl. Climatol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1007\/s00704-006-0290-0","article-title":"Estimating hourly net radiation for leaf wetness duration using the penman-monteith equation","volume":"91","author":"Sentelhas","year":"2008","journal-title":"Theor. Appl. Climatol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1109\/JSTARS.2014.2349007","article-title":"Fractional forest cover changes in northeast china from 1982 to 2011 and its relationship with climatic variations","volume":"8","author":"Jia","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1007\/s00704-011-0488-7","article-title":"Estimating net radiation at surface using artificial neural networks: A new approach","volume":"106","author":"Ferreira","year":"2011","journal-title":"Theor. Appl. Climatol."},{"key":"ref_36","first-page":"14190","article-title":"Modelling net radiation at surface using \u201cin situ\u201d netpyrradiometer measurements with artificial neural networks","volume":"38","year":"2011","journal-title":"Expert Syst. Appl."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"11031","DOI":"10.3390\/rs61111031","article-title":"Surface daytime net radiation estimation using artificial neural networks","volume":"6","author":"Jiang","year":"2014","journal-title":"Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Liang, S.L., Zhang, X.T., Xiao, Z.Q., Cheng, J., Liu, Q., and Zhao, X. (2013). Global Land Surface Satellite (Glass) Products: Algorithms, Validation and Analysis, Springer.","DOI":"10.1007\/978-3-319-02588-9"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1080\/17538947.2013.805262","article-title":"A long-term global land surface satellite (glass) data-set for environmental studies","volume":"6","author":"Liang","year":"2013","journal-title":"Int. J. Digit. Earth"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"2341","DOI":"10.1175\/1520-0477(2000)081<2341:SANSRB>2.3.CO;2","article-title":"Surfrad\u2014A national surface radiation budget network for atmospheric research","volume":"81","author":"Augustine","year":"2000","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"634","DOI":"10.1175\/2008JAMC1959.1","article-title":"Estimation of daytime net radiation from shortwave radiation measurements and meteorological observations","volume":"48","author":"Wang","year":"2009","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_42","first-page":"1","article-title":"Multivariate adaptive regression splines","volume":"19","author":"Friedman","year":"1991","journal-title":"Ann. Stat."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.agrformet.2015.05.003","article-title":"Empirical estimation of daytime net radiation from shortwave radiation and the other ancillary information","volume":"211","author":"Jiang","year":"2015","journal-title":"Agric. For. Meteorol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1016\/j.rse.2014.07.003","article-title":"Generating global land surface satellite (glass) incident shortwave radiation and photosynthetically active radiation products from multiple satellite data","volume":"152","author":"Zhang","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_45","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_46","doi-asserted-by":"crossref","first-page":"3624","DOI":"10.1175\/JCLI-D-11-00015.1","article-title":"Merra: Nasa\u2019s modern-era retrospective analysis for research and applications","volume":"24","author":"Rienecker","year":"2011","journal-title":"J. Clim."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"369","DOI":"10.2151\/jmsj.85.369","article-title":"The jra-25 reanalysis","volume":"85","author":"Onogi","year":"2007","journal-title":"J. Meteorol. Soc. Jpn. Ser. II"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/S0034-4257(02)00092-5","article-title":"Validating modis land surface reflectance and albedo products: Methods and preliminary results","volume":"83","author":"Liang","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1175\/1520-0450(1983)022<0517:ASSFDE>2.0.CO;2","article-title":"A simple scheme for daytime estimates of the surface fluxes from routine weather data","volume":"22","author":"Holtslag","year":"1983","journal-title":"J. Clim. Appl. Meteorol."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1002\/qj.49708938105","article-title":"Longwave radiation from clear skies","volume":"89","author":"Swinbank","year":"1963","journal-title":"QJR Meteorol. Soc."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"568","DOI":"10.1109\/72.97934","article-title":"A general regression network","volume":"2","author":"Specht","year":"1991","journal-title":"IEEE Trans. Neural Netw."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1109\/TGRS.2013.2237780","article-title":"Use of general regression neural networks for generating the glass leaf area index product from time-series modis surface reflectance","volume":"52","author":"Xiao","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Vapnik, V. (1995). The Nature of Statistical Learning Theory, Springer.","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"ref_54","unstructured":"Meyer, D., Dimitriadou, E., Hornik, K., Weingessel, A., and Leisch, F. (2014). e1071: Misc Functions of the Department of Statistics (e1071), Tu Wien."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/3\/222\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:20:26Z","timestamp":1760210426000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/3\/222"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,3,9]]},"references-count":54,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2016,3]]}},"alternative-id":["rs8030222"],"URL":"https:\/\/doi.org\/10.3390\/rs8030222","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,3,9]]}}}