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