Analysis of atmospheric thermodynamics using the R package aiRthermo

Sáenz, Jon; Gonzalez-Rojí, Santos J.; Carreno-Madinabeitia, Sheila; Ibarra-Berastegi, Gabriel (2019). Analysis of atmospheric thermodynamics using the R package aiRthermo. Computers & Geosciences, 122, pp. 113-119. Elsevier 10.1016/j.cageo.2018.10.007

[img] Text
2019a_SaenzEtAll_aiRthermo.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (4MB) | Request a copy

The publicly available R package aiRthermo is presented in this study, which allows the user to process information relative to atmospheric thermodynamics, ranging from calculating the density of dry or moist air and converting data between moisture indices to processing a full sounding, obtaining factors such as the convective available potential energy, additional instability indices, or adiabatic evolutions of particles. The package also provides the possibility to present information using customisable Stüve diagrams. Many of the functions are written inside a C extension to ensure that the computations are fast. The results of applying this package to five years of real soundings measured over the Iberian Peninsula are also presented as an example. The package considerably extends the capabilities of R to process atmospheric soundings or model results. This will be useful for many practical environmental forecasting applications at different scales, such as statistical downscaling for climate analysis, quantitative precipitation forecasting (particularly precipitation extremes), diagnosing storms, flash floods, and lightning, and in aviation and other fields where computing atmospheric convection and its related parameters is important.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Physics Institute > Climate and Environmental Physics
10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR)

UniBE Contributor:

Gonzalez Rojí, Santos José

Subjects:

500 Science > 530 Physics
500 Science > 550 Earth sciences & geology

ISSN:

0098-3004

Publisher:

Elsevier

Language:

English

Submitter:

Santos José Gonzalez Rojí

Date Deposited:

15 Apr 2021 16:55

Last Modified:

15 Apr 2021 16:55

Publisher DOI:

10.1016/j.cageo.2018.10.007

BORIS DOI:

10.48350/154238

URI:

https://boris.unibe.ch/id/eprint/154238

Actions (login required)

Edit item Edit item
Provide Feedback