{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T16:39:59Z","timestamp":1770741599638,"version":"3.49.0"},"reference-count":48,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2020,8,8]],"date-time":"2020-08-08T00:00:00Z","timestamp":1596844800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000844","name":"European Space Agency","doi-asserted-by":"publisher","award":["3-13904\/13\/I-NB"],"award-info":[{"award-number":["3-13904\/13\/I-NB"]}],"id":[{"id":"10.13039\/501100000844","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Atmospheric desert-dust aerosol, primarily from north Africa, causes negative biases in remotely sensed climate data records of sea surface temperature (SST). Here, large-scale bias adjustments are deduced and applied to the v2 climate data record of SST from the European Space Agency Climate Change Initiative (CCI). Unlike SST from infrared sensors, SST measured in situ is not prone to desert-dust bias. An in-situ-based SST analysis is combined with column dust mass from the Modern-Era Retrospective analysis for Research and Applications, Version 2 to deduce a monthly, large-scale adjustment to CCI analysis SSTs. Having reduced the dust-related biases, a further correction for some periods of anomalous satellite calibration is also derived. The corrections will increase the usability of the v2 CCI SST record for oceanographic and climate applications, such as understanding the role of Arabian Sea SSTs in the Indian monsoon. The corrections will also pave the way for a v3 climate data record with improved error characteristics with respect to atmospheric dust aerosol.<\/jats:p>","DOI":"10.3390\/rs12162554","type":"journal-article","created":{"date-parts":[[2020,8,10]],"date-time":"2020-08-10T05:07:23Z","timestamp":1597036043000},"page":"2554","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Adjusting for Desert-Dust-Related Biases in a Climate Data Record of Sea Surface Temperature"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4687-9850","authenticated-orcid":false,"given":"Christopher","family":"Merchant","sequence":"first","affiliation":[{"name":"Department of Meteorology, University of Reading, Reading RG6 6BB, UK"},{"name":"National Centre for Earth Observation, University of Reading, Reading RG6 6BB, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1661-7828","authenticated-orcid":false,"given":"Owen","family":"Embury","sequence":"additional","affiliation":[{"name":"Department of Meteorology, University of Reading, Reading RG6 6BB, UK"},{"name":"National Centre for Earth Observation, University of Reading, Reading RG6 6BB, UK"}]}],"member":"1968","published-online":{"date-parts":[[2020,8,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"O\u2019Carroll, A.G., Armstrong, E.M., Beggs, H.M., Bouali, M., Casey, K.S., Corlett, G.K., Dash, P., Donlon, C.J., Gentemann, C.L., and Hoyer, J.L. (2019). Observational Needs of Sea Surface Temperature. Front. Mar. Sci., 6.","DOI":"10.3389\/fmars.2019.00420"},{"key":"ref_2","first-page":"489","article-title":"Simulation and inversion of satellite thermal measurements","volume":"Volume 47","author":"Zibordi","year":"2014","journal-title":"Optical Radiometry for Ocean Climate Measurements"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/S0034-4257(70)80002-5","article-title":"Estimation of Sea Surface Temperature from Space","volume":"1","author":"Anding","year":"1970","journal-title":"Remote Sens. Environ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.rse.2019.01.009","article-title":"Improving satellite retrieved night-time infrared sea surface temperatures in aerosol contaminated regions","volume":"223","author":"Luo","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.rse.2006.03.007","article-title":"Saharan dust in nighttime thermal imagery: Detection and reduction of related biases in retrieved sea surface temperature","volume":"104","author":"Merchant","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_6","unstructured":"Good, S.A., Embury, O., Bulgin, C.E., and Mittaz, J. (2019). ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Level 4 Analysis Climate Data Record, Version 2.1, Centre for Environmental Data Analysis."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Merchant, C.J., Embury, O., Bulgin, C.E., Block, T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., and Berry, D. (2019). Satellite-based time-series of sea-surface temperature since 1981 for climate applications. Sci. Data, 6.","DOI":"10.1038\/s41597-019-0236-x"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1205","DOI":"10.1256\/qj.05.143","article-title":"Retrievals of sea surface temperature from infrared imagery: Origin and form of systematic errors","volume":"132","author":"Merchant","year":"2006","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"23565","DOI":"10.1029\/1999JC900105","article-title":"Toward the elimination of bias in satellite retrievals of sea surface temperature 1. Theory, modeling and interalgorithm comparison","volume":"104","author":"Merchant","year":"1999","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.rse.2010.10.016","article-title":"A reprocessing for climate of sea surface temperature from the along-track scanning radiometers: Basis in radiative transfer","volume":"116","author":"Embury","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_11","unstructured":"Rayner, N.A., and Kennedy, J.J. Comparison of satellite and in situ measured estimates of sea-surface temperature focusing on the ESA Climate Change Initiative v2.1 products, submitted."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Lau, K.M., and Kim, K.M. (2007). Cooling of the Atlantic by Saharan dust. Geophys. Res. Lett., 34.","DOI":"10.1029\/2007GL031538"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"5404","DOI":"10.1175\/JCLI-D-11-00413.1","article-title":"Multidecadal Covariability of North Atlantic Sea Surface Temperature, African Dust, Sahel Rainfall, and Atlantic Hurricanes","volume":"25","author":"Wang","year":"2012","journal-title":"J. Clim."},{"key":"ref_14","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_15","doi-asserted-by":"crossref","first-page":"1981","DOI":"10.1175\/BAMS-D-18-0083.1","article-title":"Is Summer African Dust Arriving Earlier to Barbados? The Updated Long-Term In Situ Dust Mass Concentration Time Series from Ragged Point, Barbados, and Miami, Florida","volume":"100","author":"Zuidema","year":"2019","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"885","DOI":"10.1016\/S0016-7037(67)80037-1","article-title":"Airborne dust collected at Barbados","volume":"31","author":"Delany","year":"1967","journal-title":"Geochim. Cosmochim. Acta"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1111\/1475-5661.00013","article-title":"Saharan dust: Sources and trajectories","volume":"26","author":"Middleton","year":"2001","journal-title":"Trans. Inst. Br. Geogr."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"3515","DOI":"10.5194\/acp-19-3515-2019","article-title":"The CAMS reanalysis of atmospheric composition","volume":"19","author":"Inness","year":"2019","journal-title":"Atmos. Chem. Phys."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Kennedy, J.J., Rayner, N.A., Atkinson, C.P., and Killick, R.E. (2019). An ensemble data set of sea-surface temperature change from 1850: The Met Office hadley Centre HadSST.4.0.0.0 data set. J. Geophys. Res. Atmos., 124.","DOI":"10.1029\/2018JD029867"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Luo, B.K., Minnett, P.J., Szczodrak, M., Kilpatrick, K., and Izaguirre, M. (2020). Validation of Sentinel-3A SLSTR derived Sea-Surface Skin Temperatures with those of the shipborne M-AERI. Remote Sens. Environ., 244.","DOI":"10.1016\/j.rse.2020.111826"},{"key":"ref_21","unstructured":"Global Modelling and Assimilation Office (2015). MERRA-2 TavgM_2d_aer_Nx: 2d, Monthly Mean, Time-Averaged, Single-Level, Assimilation, Aerosol Diagnostics V5.12.4, Goddard Earth Sciences Data and Information Services Center (GES DISC)."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Hoyer, S., and Hamman, J. (2017). xarray: N-D labeled Arrays and Datasets in Python. J. Open Res. Softw., 5.","DOI":"10.5334\/jors.148"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"12882","DOI":"10.1029\/2019JD030725","article-title":"A 2000 Year Saharan Dust Event Proxy Record from an Ice Core in the European Alps","volume":"124","author":"Clifford","year":"2019","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_24","first-page":"386","article-title":"A rank-invariant method of linear and polynomial regression analysis I, II and III","volume":"53","author":"Theil","year":"1950","journal-title":"Proc. Nederl. Akad. Wetensch."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1379","DOI":"10.1080\/01621459.1968.10480934","article-title":"Estimates of the regression coefficient based on Kendall\u2019s tau","volume":"63","author":"Sen","year":"1968","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_26","unstructured":"Global Climate Observing System (2016). The Global Observing System for Climate: Implementation Needs: GCOS-200, Global Climate Observing System."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"7139","DOI":"10.1002\/2014JC010053","article-title":"An integrated database of ocean temperature and salinity observations","volume":"119","author":"Atkinson","year":"2014","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1601","DOI":"10.1175\/BAMS-D-15-00251.1","article-title":"A Call for New Approaches to Quantifying biases in observations of sea surface temperature","volume":"98","author":"Kent","year":"2017","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_29","unstructured":"Kirwan, J.A.D., Griffa, A., Mariano, A.J., Rossby, H.T., and \u00d6zg\u00f6kmen, T. (2007). Measuring surface currents with Surface Velocity Program drifters: The instrument, its data, and some recent results. Lagrangian Analysis and Prediction of Coastal and Ocean Dynamics, Cambridge University Press."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Huang, Y., Kok, J.F., Kandler, K., Lindqvist, H., Nousiainen, T., Sakai, T., Adebiyi, A., and Jokinen, O. (2020). Climate Models and Remote Sensing Retrievals Neglect Substantial Desert Dust Asphericity. Geophys. Res. Lett., 47.","DOI":"10.1029\/2019GL086592"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"van der Does, M., Knippertz, P., Zschenderlein, P., Harrison, R.G., and Stuut, J.B.W. (2018). The mysterious long-range transport of giant mineral dust particles. Sci. Adv., 4.","DOI":"10.1126\/sciadv.aau2768"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.aeolia.2011.02.001","article-title":"Dust cycle: An emerging core theme in Earth system science","volume":"2","author":"Shao","year":"2011","journal-title":"Aeolian Res."},{"key":"ref_33","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_34","doi-asserted-by":"crossref","unstructured":"Mittaz, J., Merchant, C.J., and Woolliams, E.R. (2019). Applying principles of metrology to historical Earth observations from satellites. Metrologia, 56.","DOI":"10.1088\/1681-7575\/ab1705"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Benthuysen, J.A., Oliver, E.C.J., Chen, K., and Wernberg, T. (2020). Editorial: Advances in Understanding Marine Heatwaves and Their Impacts. Front. Mar. Sci., 7.","DOI":"10.3389\/fmars.2020.00147"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Schlegel, R.W., Oliver, E.C.J., Hobday, A.J., and Smit, A.J. (2019). Detecting Marine Heatwaves With Sub-Optimal Data. Front. Mar. Sci., 6.","DOI":"10.3389\/fmars.2019.00737"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.pocean.2015.12.014","article-title":"A hierarchical approach to defining marine heatwaves","volume":"141","author":"Hobday","year":"2016","journal-title":"Prog. Oceanogr."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Oliver, E.C.J., Donat, M.G., Burrows, M.T., Moore, P.J., Smale, D.A., Alexander, L.V., Benthuysen, J.A., Feng, M., Sen Gupta, A., and Hobday, A.J. (2018). Longer and more frequent marine heatwaves over the past century. Nat. Commun., 9.","DOI":"10.1038\/s41467-018-03732-9"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Le Nohaic, M., Ross, C.L., Cornwall, C.E., Comeau, S., Lowe, R., McCulloch, M.T., and Schoepf, V. (2017). Marine heatwave causes unprecedented regional mass bleaching of thermally resistant corals in northwestern Australia. Sci. Rep., 7.","DOI":"10.1038\/s41598-017-14794-y"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Evans, R., Lea, M.A., Hindell, M.A., and Swadling, K.M. (2020). Significant shifts in coastal zooplankton populations through the 2015\/16 Tasman Sea marine heatwave. Estuar. Coast. Shelf Sci., 235.","DOI":"10.1016\/j.ecss.2019.106538"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Dalton, S.J., Carroll, A.G., Sampayo, E., Roff, G., Harrison, P.L., Entwistle, K., Huang, Z., Salih, A., and Diamond, S.L. (2020). Successive marine heatwaves cause disproportionate coral bleaching during a fast phase transition from El Nino to La Nina. Sci. Total Environ., 715.","DOI":"10.1016\/j.scitotenv.2020.136951"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"3525","DOI":"10.1111\/gcb.15065","article-title":"Too hot to handle: Unprecedented seagrass death driven by marine heatwave in a World Heritage Area","volume":"26","author":"Strydom","year":"2020","journal-title":"Glob. Chang. Biol."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Skirving, W., Enriquez, S., Hedley, J.D., Dove, S., Eakin, C.M., Mason, R.A.B., De La Cour, J.L., Liu, G., Hoegh-Guldberg, O., and Strong, A.E. (2018). Remote Sensing of Coral Bleaching Using Temperature and Light: Progress towards an Operational Algorithm. Remote Sens., 10.","DOI":"10.3390\/rs10010018"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Heron, S.F., Johnston, L., Liu, G., Geiger, E.F., Maynard, J.A., De La Cour, J.L., Johnson, S., Okano, R., Benavente, D., and Burgess, T.F.R. (2016). Validation of Reef-Scale Thermal Stress Satellite Products for Coral Bleaching Monitoring. Remote Sens., 8.","DOI":"10.3390\/rs8010059"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"2469","DOI":"10.1016\/j.rse.2007.11.011","article-title":"Optimal estimation of sea surface temperature from split-window observations","volume":"112","author":"Merchant","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"2735","DOI":"10.1256\/qj.05.15","article-title":"Probabilistic physically based cloud screening of satellite infrared imagery for operational sea surface temperature retrieval","volume":"131","author":"Merchant","year":"2005","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Merchant, C.J., Saux-Picart, S., and Waller, J. (2020). Bias correction and covariance parameters for optimal estimation by exploiting matched in-situ references. Remote Sens. Environ., 237.","DOI":"10.1016\/j.rse.2019.111590"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Merchant, C.J., Block, T., Corlett, G.K., Embury, O., Mittaz, J.P.D., and Mollard, J.D.P. (2020). Harmonization of Space-Borne Infra-Red Sensors Measuring Sea Surface Temperature. Remote Sens., 12.","DOI":"10.3390\/rs12061048"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/16\/2554\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:58:16Z","timestamp":1760176696000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/16\/2554"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,8]]},"references-count":48,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2020,8]]}},"alternative-id":["rs12162554"],"URL":"https:\/\/doi.org\/10.3390\/rs12162554","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8,8]]}}}