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)thunder_1.1.5.zip(r-4.6)thunder_1.1.5.zip(r-4.5)
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

6.48 score 52 stars 13 scripts 226 downloads 13 exports 24 dependencies

Last updated from:c93a34e9cb. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK173
linux-devel-x86_64OK152
source / vignettesOK255
linux-release-arm64OK139
linux-release-x86_64OK147
macos-release-arm64OK184
macos-release-x86_64OK531
macos-oldrel-arm64OK141
macos-oldrel-x86_64OK374
windows-develOK115
windows-releaseOK113
windows-oldrelOK129
wasm-releaseOK110

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 <img src="https://github.com/bczernecki/thundeR/raw/master/man/figures/logo.png" style="float:right" width="150"/> | Computed parameters: | Accuracy tables for sounding_compute() | Performance comparison:

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

Introduction to the thundeR package
thundeR <img src="https://github.com/bczernecki/thundeR/raw/master/man/figures/logo.png" style="float:right" width="150"/> | 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