thunder

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<0532:WNIFFM>2.0.CO;2009<0532:WNIFFM>2.0.CO;2), Bunkers et al. (2000) doi:10.1175/1520-0434(2000)015<0061:PSMUAN>2.0.CO;2015<0061:PSMUAN>2.0.CO;2), Corfidi et al. (2003) doi:10.1175/1520-0434(2003)018<0997:CPAMPF>2.0.CO;2018<0997:CPAMPF>2.0.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.

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