Package: thunder 1.1.4

thunder: Computation and Visualisation of Atmospheric Convective Parameters

Allow to compute and visualise convective parameters commonly used in the operational prediction of severe convective storms. Core algorithm is based on a highly optimized 'C++' code linked into 'R' via 'Rcpp'. Highly efficient engine allows to derive thermodynamic and kinematic parameters from large numerical datasets such as reanalyses or operational Numerical Weather Prediction models in a reasonable amount of time. Package has been developed since 2017 by research meteorologists specializing in severe thunderstorms. The most relevant methods used in the package based on the following publications Stipanuk (1973) <https://apps.dtic.mil/sti/pdfs/AD0769739.pdf>, McCann et al. (1994) <doi:10.1175/1520-0434(1994)009%3C0532:WNIFFM%3E2.0.CO;2>, Bunkers et al. (2000) <doi:10.1175/1520-0434(2000)015%3C0061:PSMUAN%3E2.0.CO;2>, Corfidi et al. (2003) <doi:10.1175/1520-0434(2003)018%3C0997:CPAMPF%3E2.0.CO;2>, Showalter (1953) <doi:10.1175/1520-0477-34.6.250>, Coffer et al. (2019) <doi:10.1175/WAF-D-19-0115.1>, Gropp and Davenport (2019) <doi:10.1175/WAF-D-17-0150.1>, Czernecki et al. (2019) <doi:10.1016/j.atmosres.2019.05.010>, Taszarek et al. (2020) <doi:10.1175/JCLI-D-20-0346.1>, Sherburn and Parker (2014) <doi:10.1175/WAF-D-13-00041.1>, Romanic et al. (2022) <doi:10.1016/j.wace.2022.100474>.

Authors:Bartosz Czernecki [aut, cre], Mateusz Taszarek [aut], Piotr Szuster [aut]

thunder_1.1.4.tar.gz
thunder_1.1.4.zip(r-4.5)thunder_1.1.4.zip(r-4.4)thunder_1.1.4.zip(r-4.3)
thunder_1.1.4.tgz(r-4.5-x86_64)thunder_1.1.4.tgz(r-4.5-arm64)thunder_1.1.4.tgz(r-4.4-x86_64)thunder_1.1.4.tgz(r-4.4-arm64)thunder_1.1.4.tgz(r-4.3-x86_64)thunder_1.1.4.tgz(r-4.3-arm64)
thunder_1.1.4.tar.gz(r-4.5-noble)thunder_1.1.4.tar.gz(r-4.4-noble)
thunder_1.1.4.tgz(r-4.4-emscripten)thunder_1.1.4.tgz(r-4.3-emscripten)
thunder.pdf |thunder.html
thunder/json (API)
NEWS

# Install 'thunder' in R:
install.packages('thunder', repos = c('https://bczernecki.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bczernecki/thunder/issues

Pkgdown site:https://bczernecki.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • northplatte - Exemplary sounding dataset - sample from LBF North Platte (WMO ID: 72562) - 03 July 1999, 00:00 UTC
  • sounding_vienna - Examplary sounding dataset - sample from Vienna (WMO ID: 11035) - 23 August 2011, 1200 UTC

On CRAN:

Conda:

capecinconvective-parametersdownload-soundinghodographrawinsondesevere-weatherthundertornadocpp

6.61 score 45 stars 7 scripts 221 downloads 13 exports 31 dependencies

Last updated 7 days agofrom:03b0c02681. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 20 2025
R-4.5-win-x86_64OKMar 20 2025
R-4.5-mac-x86_64OKMar 20 2025
R-4.5-mac-aarch64OKMar 20 2025
R-4.5-linux-x86_64OKMar 20 2025
R-4.4-win-x86_64OKMar 20 2025
R-4.4-mac-x86_64OKMar 20 2025
R-4.4-mac-aarch64OKMar 20 2025
R-4.4-linux-x86_64OKMar 20 2025
R-4.3-win-x86_64OKMar 20 2025
R-4.3-mac-x86_64OKMar 20 2025
R-4.3-mac-aarch64OKMar 20 2025

Exports:get_soundingskewt_linesskewt_plotsounding_barbssounding_computesounding_defaultsounding_exportsounding_hodographsounding_plotsounding_savesounding_windtest_urlwindbarbs

Dependencies:aiRthermoaskpassclicurldotCall64dplyrfansifieldsgenericsgluehttrjsonlitelifecyclemagrittrmapsmimeopensslpillarpkgconfigR6RadioSondeRcpprlangspamsystibbletidyselectutf8vctrsviridisLitewithr

Introduction to the thundeR package

Rendered fromgetstarted.Rmdusingknitr::rmarkdownon Mar 20 2025.

Last update: 2023-04-04
Started: 2021-02-20

List of convective parameters and other important details

Rendered fromconvective-parameters-and-technical-details.Rmdusingknitr::rmarkdownon Mar 20 2025.

Last update: 2023-04-05
Started: 2023-03-03

Miscellaneous

Rendered frommiscellaneous.Rmdusingknitr::rmarkdownon Mar 20 2025.

Last update: 2023-04-04
Started: 2023-03-29