Mathematics and Mars Exploration
Pure and Applied Geophysics, ISSN: 1420-9136, Vol: 172, Issue: 1, Page: 33-47
2015
- 4Citations
- 7Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
In this study we consider modelization associated with study of solar radiation at the surface of Mars and the Martian atmosphere. In particular, we present elements concerning retrieval of the solar irradiance spectrum on the surface of Mars from data collected by arrays of photodiodes, such as those onboard the “Curiosity” MSL-rover and other missions currently under design. By using these techniques we are able to provide an approximate description of the expected measures. In this work we have also developed a new method of tomography-based signal analysis for detection of events in the Martian atmosphere boundary layer, such as dust devils. In general, this method enables detection of events that occur briefly in time and are localized in space. This tomographic method allows us to identify the presence of more dust devils than detected previously using the same data. Finally we show new scenarios of modelization through fractional differential equations associated with diffusion processes and nonlocal problems. Such approaches could be used to model complex Martian dynamics.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84921029960&origin=inward; http://dx.doi.org/10.1007/s00024-014-0870-3; http://link.springer.com/10.1007/s00024-014-0870-3; http://link.springer.com/content/pdf/10.1007/s00024-014-0870-3; http://link.springer.com/content/pdf/10.1007/s00024-014-0870-3.pdf; http://link.springer.com/article/10.1007/s00024-014-0870-3/fulltext.html; https://dx.doi.org/10.1007/s00024-014-0870-3; https://link.springer.com/article/10.1007/s00024-014-0870-3
Springer Science and Business Media LLC
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