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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Main Authors: Duggal, Meera, Hammerling, Dorit
Format: Article in Journal/Newspaper
Language:English
Published: Colorado School of Mines. Arthur Lakes Library 2021
Subjects:
Online Access:https://dx.doi.org/10.25676/11124/178560
https://repository.mines.edu/handle/11124/178560
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spelling 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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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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