Results Of Tovs Ozone Retrieval With Neural Networks
We present the results of a recently finished project concerned with total ozone retrieval on a global scale from HIRS and MSU brightness temperatures. The project encompasses processing TOVS data ranging from 1986 to now by means of a neural network technique utilizing information from all spectral...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.18.3583 2023-05-15T18:02:14+02:00 Results Of Tovs Ozone Retrieval With Neural Networks Anton K. Kaifel Martin D. Müller The Pennsylvania State University CiteSeerX Archives 0 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.3583 http://auc.dfd.dlr.de/GOME_NRT//profile_docs/Kaifel_ITSC-XI.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.3583 http://auc.dfd.dlr.de/GOME_NRT//profile_docs/Kaifel_ITSC-XI.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://auc.dfd.dlr.de/GOME_NRT//profile_docs/Kaifel_ITSC-XI.pdf text ftciteseerx 2016-01-07T16:23:57Z We present the results of a recently finished project concerned with total ozone retrieval on a global scale from HIRS and MSU brightness temperatures. The project encompasses processing TOVS data ranging from 1986 to now by means of a neural network technique utilizing information from all spectral channels. Comparisons with ozone measurements from WOUDC Dobson and Brewer ground stations yielded a day and night average RMS accuracy of about 15 D.U. for all weather conditions, including broken clouds. Further validation was performed by comparison with TOMS and GOME data at 51 ground station locations, showing the error of TOVS vs. ground to be similar to these sensors' errors. The TOVS errors do however not increase over time, therefore temporal stability of the retrieval can be assumed. We conclude TOVS has qualified as a suitable instrument for accurate and fast ozone retrievals, especially since it is currently the only orbital sensor capable of measuring ozone in the polar night. Text polar night Unknown |
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We present the results of a recently finished project concerned with total ozone retrieval on a global scale from HIRS and MSU brightness temperatures. The project encompasses processing TOVS data ranging from 1986 to now by means of a neural network technique utilizing information from all spectral channels. Comparisons with ozone measurements from WOUDC Dobson and Brewer ground stations yielded a day and night average RMS accuracy of about 15 D.U. for all weather conditions, including broken clouds. Further validation was performed by comparison with TOMS and GOME data at 51 ground station locations, showing the error of TOVS vs. ground to be similar to these sensors' errors. The TOVS errors do however not increase over time, therefore temporal stability of the retrieval can be assumed. We conclude TOVS has qualified as a suitable instrument for accurate and fast ozone retrievals, especially since it is currently the only orbital sensor capable of measuring ozone in the polar night. |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Anton K. Kaifel Martin D. Müller |
spellingShingle |
Anton K. Kaifel Martin D. Müller Results Of Tovs Ozone Retrieval With Neural Networks |
author_facet |
Anton K. Kaifel Martin D. Müller |
author_sort |
Anton K. Kaifel |
title |
Results Of Tovs Ozone Retrieval With Neural Networks |
title_short |
Results Of Tovs Ozone Retrieval With Neural Networks |
title_full |
Results Of Tovs Ozone Retrieval With Neural Networks |
title_fullStr |
Results Of Tovs Ozone Retrieval With Neural Networks |
title_full_unstemmed |
Results Of Tovs Ozone Retrieval With Neural Networks |
title_sort |
results of tovs ozone retrieval with neural networks |
publishDate |
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url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.3583 http://auc.dfd.dlr.de/GOME_NRT//profile_docs/Kaifel_ITSC-XI.pdf |
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polar night |
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polar night |
op_source |
http://auc.dfd.dlr.de/GOME_NRT//profile_docs/Kaifel_ITSC-XI.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.3583 http://auc.dfd.dlr.de/GOME_NRT//profile_docs/Kaifel_ITSC-XI.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766172033969815552 |