Estimating Aerosol Emissions by Assimilating Remote Sensing Observations into a Global Transport Model
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2012-11-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2072-4292/4/11/3528 |
| _version_ | 1831703116361236480 |
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| author | Teruyuki Nakajima Makiko Nakata Nick Schutgens |
| author_facet | Teruyuki Nakajima Makiko Nakata Nick Schutgens |
| author_sort | Teruyuki Nakajima |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T15:33:57Z |
| format | Article |
| id | doaj.art-79bd602ba8c2474dae05eae94c3c5b6d |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-20T15:33:57Z |
| publishDate | 2012-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-79bd602ba8c2474dae05eae94c3c5b6d2022-12-21T19:35:29ZengMDPI AGRemote Sensing2072-42922012-11-014113528354310.3390/rs4113528Estimating Aerosol Emissions by Assimilating Remote Sensing Observations into a Global Transport ModelTeruyuki NakajimaMakiko NakataNick SchutgensWe 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.http://www.mdpi.com/2072-4292/4/11/3528aerosolemission estimationKalman smootherMODISAERONET |
| spellingShingle | Teruyuki Nakajima Makiko Nakata Nick Schutgens Estimating Aerosol Emissions by Assimilating Remote Sensing Observations into a Global Transport Model Remote Sensing aerosol emission estimation Kalman smoother MODIS AERONET |
| title | Estimating Aerosol Emissions by Assimilating Remote Sensing Observations into a Global Transport Model |
| title_full | Estimating Aerosol Emissions by Assimilating Remote Sensing Observations into a Global Transport Model |
| title_fullStr | Estimating Aerosol Emissions by Assimilating Remote Sensing Observations into a Global Transport Model |
| title_full_unstemmed | Estimating Aerosol Emissions by Assimilating Remote Sensing Observations into a Global Transport Model |
| title_short | Estimating Aerosol Emissions by Assimilating Remote Sensing Observations into a Global Transport Model |
| title_sort | estimating aerosol emissions by assimilating remote sensing observations into a global transport model |
| topic | aerosol emission estimation Kalman smoother MODIS AERONET |
| url | http://www.mdpi.com/2072-4292/4/11/3528 |
| work_keys_str_mv | AT teruyukinakajima estimatingaerosolemissionsbyassimilatingremotesensingobservationsintoaglobaltransportmodel AT makikonakata estimatingaerosolemissionsbyassimilatingremotesensingobservationsintoaglobaltransportmodel AT nickschutgens estimatingaerosolemissionsbyassimilatingremotesensingobservationsintoaglobaltransportmodel |