Package: thunder 1.1.5

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_1.1.5.tar.gz
thunder_1.1.5.zip(r-4.7-x86_64)thunder_1.1.5.zip(r-4.7-arm64)thunder_1.1.5.zip(r-4.6-x86_64)thunder_1.1.5.zip(r-4.6-arm64)thunder_1.1.5.zip(r-4.5-x86_64)
thunder_1.1.5.tgz(r-4.6-x86_64)thunder_1.1.5.tgz(r-4.6-arm64)thunder_1.1.5.tgz(r-4.5-x86_64)thunder_1.1.5.tgz(r-4.5-arm64)
thunder_1.1.5.tar.gz(r-4.7-arm64)thunder_1.1.5.tar.gz(r-4.7-x86_64)thunder_1.1.5.tar.gz(r-4.6-arm64)thunder_1.1.5.tar.gz(r-4.6-x86_64)
thunder_1.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
thunder/json (API)

# 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/docs 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

6.57 score 55 stars 15 scripts 308 downloads 13 exports 24 dependencies

Last updated from:c93a34e9cb. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK110
linux-devel-x86_64OK171
source / vignettesOK217
linux-release-arm64OK115
linux-release-x86_64OK145
macos-release-arm64OK135
macos-release-x86_64OK481
macos-oldrel-arm64OK133
macos-oldrel-x86_64OK454
windows-devel-arm64OK389
windows-devel-x86_64OK153
windows-release-arm64OK356
windows-release-x86_64OK104
windows-oldrel-x86_64OK119
wasm-releaseOK109

Exports:get_soundingskewt_linesskewt_plotsounding_barbssounding_computesounding_defaultsounding_exportsounding_hodographsounding_plotsounding_savesounding_windtest_urlwindbarbs

Dependencies:aiRthermoaskpassclicurldplyrgenericsgluehttrjsonlitelifecyclemagrittrmimeopensslpillarpkgconfigR6Rcpprlangsystibbletidyselectutf8vctrswithr

List of convective parameters and other important details
thundeR | Computed parameters: | Accuracy tables for sounding_compute() | Performance comparison:

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

Introduction to the thundeR package
thundeR | Online browser: | Main functions: | Examples | Example 1 | Example 2 | Example 3 | Example 4 | Example 5 - thunder in Python | Important notes

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

Miscellaneous
Customized Skew-T plot: | Wind speed vertical profile with wind barbs: | Hodograph with storm motion

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