{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,31]],"date-time":"2024-08-31T07:40:13Z","timestamp":1725090013225},"reference-count":41,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2021,5,19]],"date-time":"2021-05-19T00:00:00Z","timestamp":1621382400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"Surface albedo, defined as the ratio of the surface-reflected irradiance to the incident irradiance, is one of the parameters driving the Earth energy budget and it is for this reason an essential variable in climate studies. Instruments on geostationary satellites provide suitable observations allowing long-term monitoring of surface albedo from space. In 2012, EUMETSAT published Release 1 of the Meteosat Surface Albedo (MSA) data record. The main limitation effecting the quality of this release was non-removed clouds by the incorporated cloud screening procedure that caused too high albedo values, in particular for regions with permanent cloud coverage. For the generation of Release 2, the MSA algorithm has been replaced with the Geostationary Surface Albedo (GSA) one, able to process imagery from any geostationary imager. The GSA algorithm exploits a new, improved, cloud mask allowing better cloud screening, and thus fixing the major limitation of Release 1. Furthermore, the data record has an extended temporal and spatial coverage compared to the previous release. Both Black-Sky Albedo (BSA) and White-Sky Albedo (WSA) are estimated, together with their associated uncertainties. A direct comparison between Release 1 and Release 2 clearly shows that the quality of the retrieval improved significantly with the new cloud mask. For Release 2 the decadal trend is less than 1% over stable desert sites. The validation against Moderate Resolution Imaging Spectroradiometer (MODIS) and the Southern African Regional Science Initiative (SAFARI) surface albedo shows a good agreement for bright desert sites and a slightly worse agreement for urban and rain forest locations. In conclusion, compared with MSA Release 1, GSA Release 2 provides the users with a significantly more longer time range, reliable and robust surface albedo data record.<\/jats:p>","DOI":"10.3390\/rs13101992","type":"journal-article","created":{"date-parts":[[2021,5,20]],"date-time":"2021-05-20T01:49:21Z","timestamp":1621475361000},"page":"1992","source":"Crossref","is-referenced-by-count":0,"title":["Assessment of the EUMETSAT Multi Decadal Land Surface Albedo Data Record from Meteosat Observations"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-1730-8450","authenticated-orcid":false,"given":"Alessio","family":"Lattanzio","sequence":"first","affiliation":[{"name":"European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), 64295 Darmstadt, Germany"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3952-3207","authenticated-orcid":false,"given":"Michael","family":"Grant","sequence":"additional","affiliation":[{"name":"European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), 64295 Darmstadt, Germany"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-0214-6786","authenticated-orcid":false,"given":"Marie","family":"Doutriaux-Boucher","sequence":"additional","affiliation":[{"name":"European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), 64295 Darmstadt, Germany"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-0506-5324","authenticated-orcid":false,"given":"Rob","family":"Roebeling","sequence":"additional","affiliation":[{"name":"European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), 64295 Darmstadt, Germany"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-2744-5590","authenticated-orcid":false,"given":"J\u00f6rg","family":"Schulz","sequence":"additional","affiliation":[{"name":"European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), 64295 Darmstadt, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2021,5,19]]},"reference":[{"key":"ref_1","unstructured":"WMO (2004). GCOS, 92. Implementation Plan for the Global Observing System for Climate in Support of the UNFCCC, WMO. WMO\/TD Nr. 1219."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.rse.2006.03.002","article-title":"Reflectance quantities in optical remote sensing\u2014definitions and case studies","volume":"103","author":"Schaepman","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2580","DOI":"10.1175\/JAS3479.1","article-title":"Coupling Diffuse Sky Radiation and Surface Albedo","volume":"62","author":"Pinty","year":"2005","journal-title":"J. Atmos. Sci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"511","DOI":"10.5194\/essd-9-511-2017","article-title":"Uncertainty information in climate data records from Earth observation","volume":"9","author":"Merchant","year":"2017","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Schaaf, C., Martonchik, J., Pinty, B., Govaerts, Y., Gao, F., Lattanzio, A., Liu, J., Strahler, A., and Taberner, M. (2008). Retrieval of Surface Albedo from Satellite Sensors. Advances in Land Remote Sensing: System, Modeling, Inversion and Application, Springer.","DOI":"10.1007\/978-1-4020-6450-0_9"},{"key":"ref_6","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_7","unstructured":"Schaaf, C., and Wang, Z. (2021, April 13). MCD43A1 MODIS\/Terra+Aqua BRDF\/Albedo Model Parameters Daily L3 Global\u2014500 m V006, Available online: https:\/\/lpdaac.usgs.gov\/products\/mcd43a1v006\/."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"6971","DOI":"10.1080\/01431160802199876","article-title":"Validation of MISR land surface broadband albedo","volume":"29","author":"Chen","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"5351","DOI":"10.5194\/acp-13-5351-2013","article-title":"CLARA-A1: A cloud, albedo, and radiation dataset from 28 yr of global AVHRR data","volume":"13","author":"Karlsson","year":"2013","journal-title":"Atmos. Chem. Phys."},{"key":"ref_10","unstructured":"Karlsson, K.G., Anttila, K., Trentmann, J., Stengel, M., Meirink, J.F., Devasthale, A., Hanschmann, T., Kothe, S., J\u00e4\u00e4skel\u00e4inen, E., and Sedlar, J. (2021, April 13). CLARA-A2: CM SAF cLoud, Albedo and Surface RAdiation Dataset from AVHRR Dta\u2014Edition 2. Available online: https:\/\/wui.cmsaf.eu\/safira\/action\/viewDoiDetails?acronym=CLARA_AVHRR_V002."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Carrer, D., Moparthy, S., Lellouch, G., Ceamanos, X., Pinault, F., Freitas, S., and Trigo, I. (2018). Land Surface Albedo Derived on a Ten Daily Basis from Meteosat Second Generation Observations: The NRT and Climate Data Record Collections from the EUMETSAT LSA SAF. Remote Sens., 10.","DOI":"10.20944\/preprints201806.0408.v1"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Govaerts, Y.M., and Lattanzio, A. (2007). Retrieval error estimation of surface albedo derived from geostationary large band satellite observations: Application to Meteosat-2 and Meteosat-7 data. J. Geophys. Res. Atmos., 112.","DOI":"10.1029\/2006JD007313"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"18099","DOI":"10.1029\/2000JD900113","article-title":"Surface albedo retrieval from Meteosat\u20141. Theory","volume":"105","author":"Pinty","year":"2000","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"20779","DOI":"10.1029\/93JD02071","article-title":"Coupled surface-atmosphere reflectance (CSAR) model: 1. Model description and inversion on synthetic data","volume":"98","author":"Rahman","year":"1993","journal-title":"J. Geophys. Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"977","DOI":"10.1109\/36.841980","article-title":"An algorithm for the retrieval of albedo from space using semiempirical BRDF models","volume":"38","author":"Lucht","year":"2000","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.rse.2003.12.006","article-title":"Bidirectional reflectance of Earth targets: Evaluation of analytical models using a large set of spaceborne measurements with emphasis on the Hot Spot","volume":"90","author":"Maignan","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"4561","DOI":"10.5194\/amt-8-4561-2015","article-title":"Quality assessment and improvement of the EUMETSAT Meteosat Surface Albedo Climate Data Record","volume":"8","author":"Lattanzio","year":"2015","journal-title":"Atmos. Meas. Tech."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/S0273-1177(01)00269-1","article-title":"Operational vicarious calibration of the MSG\/SEVIRI solar channels","volume":"28","author":"Govaerts","year":"2001","journal-title":"Adv. Space Res."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1900","DOI":"10.1109\/TGRS.2004.831882","article-title":"Operational calibration of the Meteosat radiometer VIS band","volume":"42","author":"Govaerts","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_20","unstructured":"St\u00f6ckli, R., Duguay\u2013Tetzlaff, A., Jedrzej, B., Hollmann, R., Fuchs, P., and Werscheck, M. (2021, April 13). CM SAF ClOud Fractional Cover dataset from METeosat First and Second Generation\u2014Edition 1 (COMET Ed. 1). Available online: https:\/\/wui.cmsaf.eu\/safira\/action\/viewDoiDetails?acronym=CFC_METEOSAT_V001."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"St\u00f6ckli, R., Bojanowski, J.S., John, V.O., Duguay-Tetzlaff, A., Bourgeois, Q., Schulz, J., and Hollmann, R. (2019). Cloud Detection with Historical Geostationary Satellite Sensors for Climate Applications. Remote Sens., 11.","DOI":"10.3390\/rs11091052"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1002\/qj.828","article-title":"The ERA-Interim reanalysis: Configuration and performance of the data assimilation system","volume":"137","author":"Dee","year":"2011","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.asr.2006.02.049","article-title":"Consistency of surface anisotropy characterization with meteosat observations","volume":"39","author":"Lattanzio","year":"2007","journal-title":"Adv. Space Res."},{"key":"ref_24","unstructured":"Diner, D.J., Abdou, W.A., Ackerman, T.P., Crean, K., Gordon, H.R., Kahn, R.A., Martonchik, J.V., McMuldroch, S., Paradise, S.R., and Pinty, B. (1997). Level 2 Aerosol Retrieval Algorithm Theoretical Basis, California Institute of Technology."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1175\/BAMS-D-11-00230.1","article-title":"Land Surface Albedo from Geostationary Satelites: A Multiagency Collaboration within SCOPE-CM","volume":"94","author":"Lattanzio","year":"2012","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"18113","DOI":"10.1029\/2000JD900114","article-title":"Surface albedo retrieval from Meteosat: 2. Applications","volume":"105","author":"Pinty","year":"2000","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"John, V.O., Tabata, T., R\u00fcthrich, F., Roebeling, R., Hewison, T., St\u00f6ckli, R., and Schulz, J. (2019). On the Methods for Recalibrating Geostationary Longwave Channels Using Polar Orbiting Infrared Sounders. Remote Sens., 11.","DOI":"10.3390\/rs11101171"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"957","DOI":"10.3390\/rs2040957","article-title":"Towards Multidecadal Consistent Meteosat Surface Albedo Time Series","volume":"2","author":"Loew","year":"2010","journal-title":"Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1109\/LGRS.2005.854202","article-title":"Spectral conversion of surface albedo derived from meteosat first generation observations","volume":"3","author":"Govaerts","year":"2006","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_30","unstructured":"EUMETSAT (2021, April 13). GSAR20000GSA Level 2 Climate Data Record Release 2\u2014MFG and MSG\u20140 Degree. Available online: https:\/\/navigator.eumetsat.int\/product\/EO:EUM:DAT:0300."},{"key":"ref_31","unstructured":"EUMETSAT (2021, April 13). GSAR20570GSA Level 2 Climate Data Record Release 2\u2014MFG\u201457 Degree. Available online: https:\/\/navigator.eumetsat.int\/product\/EO:EUM:DAT:0301."},{"key":"ref_32","unstructured":"EUMETSAT (2021, April 13). GSAR20630GSA Level 2 Climate Data Record Release 2\u2014MFG\u201463 Degree. Available online: https:\/\/navigator.eumetsat.int\/product\/EO:EUM:DAT:0302."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"425","DOI":"10.5194\/essd-8-425-2016","article-title":"A database of global reference sites to support validation of satellite surface albedo datasets (SAVS 1.0)","volume":"8","author":"Loew","year":"2016","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_34","unstructured":"Privette, J.L., Mukelabai, M.M., Hanan, N.P., and Hao, Z. (2005). SAFARI 2000 Surface Albedo and Radiation Fluxes at Mongu and Skukuza, 2000\u20132002. ORNL DAAC."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1592","DOI":"10.1111\/gcb.14888","article-title":"Climate change decreases the cooling effect from postfire albedo in boreal North America","volume":"26","author":"Potter","year":"2020","journal-title":"Glob. Chang. Biol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"D14206","DOI":"10.1029\/2009JD011978","article-title":"Clear-sky shortwave radiative closure for the Cabauw Baseline Surface Radiation Network site, Netherlands","volume":"114","author":"Wang","year":"2009","journal-title":"J. Geophys. Res."},{"key":"ref_37","first-page":"3","article-title":"STL: A Seasonal-Trend Decomposition Procedure Based on Loess","volume":"6","author":"Cleveland","year":"1990","journal-title":"J. Off. Stat. (JOS)"},{"key":"ref_38","unstructured":"Iglewicz, B., and Hoaglin, D.C. (1993). How to Detect and Handle Outliers, ASQC Quality Press. Number v. 16 in ASQC Basic References in Quality Control."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Govaerts, Y.M., R\u00fcthrich, F., John, V.O., and Quast, R. (2018). Climate Data Records from Meteosat First Generation Part I: Simulation of Accurate Top-of-Atmosphere Spectral Radiance over Pseudo-Invariant Calibration Sites for the Retrieval of the In-Flight Visible Spectral Response. Remote Sens., 10.","DOI":"10.3390\/rs10121959"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Quast, R., Giering, R., Govaerts, Y., R\u00fcthrich, F., and Roebeling, R. (2019). Climate Data Records from Meteosat First Generation Part II: Retrieval of the In-Flight Visible Spectral Response. Remote Sens., 11.","DOI":"10.3390\/rs11050480"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"R\u00fcthrich, F., John, V.O., Roebeling, R.A., Quast, R., Govaerts, Y., Woolliams, E.R., and Schulz, J. (2019). Climate Data Records from Meteosat First Generation Part III: Recalibration and Uncertainty Tracing of the Visible Channel on Meteosat-2\u20137 Using Reconstructed, Spectrally Changing Response Functions. Remote Sens., 11.","DOI":"10.3390\/rs11101165"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/10\/1992\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,31]],"date-time":"2024-08-31T06:47:10Z","timestamp":1725086830000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/10\/1992"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,19]]},"references-count":41,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2021,5]]}},"alternative-id":["rs13101992"],"URL":"https:\/\/doi.org\/10.3390\/rs13101992","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2021,5,19]]}}}