{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T16:56:34Z","timestamp":1779900994382,"version":"3.53.1"},"reference-count":19,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2012,11,19]],"date-time":"2012-11-19T00:00:00Z","timestamp":1353283200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>We present a fixed-lag ensemble Kalman smoother for estimating emissions for a global aerosol transport model from remote sensing observations. We assimilate AERONET AOT and AE as well as MODIS Terra AOT over ocean to estimate the emissions for dust, sea salt and carbon aerosol and the precursor gas SO2. For January 2009, globally dust emission decreases by 26% (to 3,244 Tg\/yr), sea salt emission increases by 190% (to 9073 Tg\/yr), while carbon emission increases by 45% (to 136 Tg\/yr), compared with the standard emissions. Remaining errors in global emissions are estimated at 62% (dust), 18% (sea salt) and 78% (carbons), with the large errors over land mostly due to the sparseness of AERONET observations. The new emissions are verified by comparing a forecast run against independent MODIS Aqua AOT, which shows significant improvement over both ocean and land. This paper confirms the usefulness of remote sensing observations for improving global aerosol modelling.<\/jats:p>","DOI":"10.3390\/rs4113528","type":"journal-article","created":{"date-parts":[[2012,11,19]],"date-time":"2012-11-19T11:02:08Z","timestamp":1353322928000},"page":"3528-3543","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":43,"title":["Estimating Aerosol Emissions by Assimilating Remote Sensing Observations into a Global Transport Model"],"prefix":"10.3390","volume":"4","author":[{"given":"Nick","family":"Schutgens","sequence":"first","affiliation":[{"name":"University of Oxford, Parks rd, OX1 3PU Oxford, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Makiko","family":"Nakata","sequence":"additional","affiliation":[{"name":"Faculty of Applied Sociology, Environmental Studies, Kinki University, 3-4-1 Kowakae, 577-8502 Higashi Osaka, Osaka, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Teruyuki","family":"Nakajima","sequence":"additional","affiliation":[{"name":"University of Tokyo, 5-1-5 Kashiwanoha, 277-8658 Kashiwa, Chiba, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2012,11,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1777","DOI":"10.5194\/acp-6-1777-2006","article-title":"Analysis and quantification of the diversities of aerosol life cycles within AeroCom","volume":"6","author":"Textor","year":"2006","journal-title":"Atmos. Chem. Phys"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"175","DOI":"10.5194\/acp-6-1657-2006","article-title":"Aerosol direct radiative effects over the northwest Atlantic, northwest Pacific, and North Indian Oceans: estimates based on in-situ chemical and optical measurements and chemical transport modeling","volume":"6","author":"Bates","year":"2006","journal-title":"Atmos. Chem. Phys"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"4489","DOI":"10.5194\/acp-7-4489-2007","article-title":"The effect of harmonized emissions on aerosol properties in global models- an AeroCom experiment","volume":"7","author":"Textor","year":"2007","journal-title":"Atmos. Chem. Phys"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1007\/s10584-011-0154-1","article-title":"Evolution of anthropogenic and biomass burning emissions of air pollutants at global and regional scales during the 1980\u20132010 period","volume":"109","author":"Granier","year":"2011","journal-title":"Climatic Change"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"D21306","DOI":"10.1029\/2004JD005738","article-title":"Inverse modeling of biomass burning emissions using Total Ozone Mapping Spectrometer aerosol index for 1997","volume":"110","author":"Zhang","year":"2005","journal-title":"J. Geophys. Res"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2004JD005671","article-title":"Adjoint inverse modeling of black carbon during the Asian Pacific Regional Aerosol Characterization Experiment","volume":"110","author":"Hakami","year":"2005","journal-title":"J. Geophys. Res"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"209","DOI":"10.5194\/acp-8-209-2008","article-title":"Retrieving global aerosol sources from satellites using inverse modelling","volume":"8","author":"Dubovik","year":"2008","journal-title":"Atm. Chem. Phys"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2869","DOI":"10.5194\/acp-8-2869-2008","article-title":"Adjoint inversion modelling of Asian dust emission using lidar observations","volume":"8","author":"Yumimoto","year":"2008","journal-title":"Atmos. Chem. Phys"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"39","DOI":"10.5194\/acp-10-39-2010","article-title":"Data assimilation of CALIPSO aerosol observations","volume":"10","author":"Sekiyama","year":"2010","journal-title":"Atmos. Chem. Phys"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"4585","DOI":"10.5194\/acp-12-4585-2012","article-title":"Estimating aerosol emissions by assimilating observed aerosol optical depth in a global aerosol model","volume":"12","author":"Huneeus","year":"2012","journal-title":"Atmos. Chem. Phys"},{"key":"ref_11","first-page":"D24304","article-title":"An ensemble data assimilation system to estimate CO2 surface fluxes from atmospheric trace gas observations","volume":"101","author":"Peters","year":"2005","journal-title":"J. Geophys. Res"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2619","DOI":"10.5194\/acp-9-2619-2009","article-title":"Estimating surface CO2 fluxes from space-borne CO2 dry air mole fraction observations using an ensemble Kalman Filter","volume":"9","author":"Feng","year":"2009","journal-title":"Atmos. Chem. Phys"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"17,853","DOI":"10.1029\/2000JD900265","article-title":"Global three-dimensional simulation of aerosol optical thickness distribution of various origins","volume":"105","author":"Takemura","year":"2000","journal-title":"J. Geophys. Res."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"D02202","DOI":"10.1029\/2004JD005029","article-title":"Simulation of climate response to aerosol direct and indirect effects with aerosol transport-radiation model","volume":"110","author":"Takemura","year":"2005","journal-title":"J. Geophys. Res"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Monahan, E., and Niocaill, G. (1986). Oceanic Whitecaps, D. Reidel.","DOI":"10.1007\/978-94-009-4668-2"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2561","DOI":"10.5194\/acp-10-2561-2010","article-title":"Applying an Ensemble Kalman filter to the assimilation of AERONET observations in a global aerosol transport model","volume":"10","author":"Schutgens","year":"2010","journal-title":"Atmos. Chem. Phys"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"D22207","DOI":"10.1029\/2005JD006898","article-title":"MODIS aerosol product analysis for data assimilation: assessment of over-ocean level 2 aerosol optical thickness retrieval","volume":"111","author":"Zhang","year":"2006","journal-title":"J. Geophys. Res"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2691","DOI":"10.5194\/acp-5-2691-2005","article-title":"An improved Kalman smoother for atmospheric inversions","volume":"5","author":"Bruhwiler","year":"2005","journal-title":"Atmos. Chem. Phys"},{"key":"ref_19","unstructured":"Hunt, B., Kostelich, E., and Szunyogh, I (2005). Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter, arXiv: physics\/0511236v1."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/4\/11\/3528\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:53:40Z","timestamp":1760219620000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/4\/11\/3528"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,11,19]]},"references-count":19,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2012,11]]}},"alternative-id":["rs4113528"],"URL":"https:\/\/doi.org\/10.3390\/rs4113528","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,11,19]]}}}