Optimizing genetic algorithm parameters for atmospheric carbon monoxide modeling ...
Climate indices can measure the variability in the climate such as changes in sea surface temperature and wind. With this knowledge a predictive CO model was developed (Buchholz et al., 2018). This model uses climate indices to predict future CO emissions which are directly linked to large burn even...
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2021
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ftdatacite:10.25676/11124/178560 2024-01-28T10:01:50+01:00 Optimizing genetic algorithm parameters for atmospheric carbon monoxide modeling ... Duggal, Meera Hammerling, Dorit 2021 application/pdf https://dx.doi.org/10.25676/11124/178560 https://repository.mines.edu/handle/11124/178560 en eng Colorado School of Mines. Arthur Lakes Library ScholarlyArticle JournalArticle article-journal 2021 ftdatacite https://doi.org/10.25676/11124/178560 2024-01-04T14:23:40Z Climate indices can measure the variability in the climate such as changes in sea surface temperature and wind. With this knowledge a predictive CO model was developed (Buchholz et al., 2018). This model uses climate indices to predict future CO emissions which are directly linked to large burn events that will occur in the southern hemisphere. We use four different climate indices in our model: the El Nino Southern Oscillation in the central tropical Pacific region 3.4, Indian Ocean Dipole/Dipole Mode Index (IOD/DMI), Tropical South Atlantic Index (TSA), and the Antartic [sic] Oscillation Index (AAO). ... Article in Journal/Newspaper antartic* DataCite Metadata Store (German National Library of Science and Technology) Indian Pacific |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
English |
description |
Climate indices can measure the variability in the climate such as changes in sea surface temperature and wind. With this knowledge a predictive CO model was developed (Buchholz et al., 2018). This model uses climate indices to predict future CO emissions which are directly linked to large burn events that will occur in the southern hemisphere. We use four different climate indices in our model: the El Nino Southern Oscillation in the central tropical Pacific region 3.4, Indian Ocean Dipole/Dipole Mode Index (IOD/DMI), Tropical South Atlantic Index (TSA), and the Antartic [sic] Oscillation Index (AAO). ... |
format |
Article in Journal/Newspaper |
author |
Duggal, Meera Hammerling, Dorit |
spellingShingle |
Duggal, Meera Hammerling, Dorit Optimizing genetic algorithm parameters for atmospheric carbon monoxide modeling ... |
author_facet |
Duggal, Meera Hammerling, Dorit |
author_sort |
Duggal, Meera |
title |
Optimizing genetic algorithm parameters for atmospheric carbon monoxide modeling ... |
title_short |
Optimizing genetic algorithm parameters for atmospheric carbon monoxide modeling ... |
title_full |
Optimizing genetic algorithm parameters for atmospheric carbon monoxide modeling ... |
title_fullStr |
Optimizing genetic algorithm parameters for atmospheric carbon monoxide modeling ... |
title_full_unstemmed |
Optimizing genetic algorithm parameters for atmospheric carbon monoxide modeling ... |
title_sort |
optimizing genetic algorithm parameters for atmospheric carbon monoxide modeling ... |
publisher |
Colorado School of Mines. Arthur Lakes Library |
publishDate |
2021 |
url |
https://dx.doi.org/10.25676/11124/178560 https://repository.mines.edu/handle/11124/178560 |
geographic |
Indian Pacific |
geographic_facet |
Indian Pacific |
genre |
antartic* |
genre_facet |
antartic* |
op_doi |
https://doi.org/10.25676/11124/178560 |
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1789327285209268224 |