thundeR 1.1.3

Adding new tests for thermodynamic indices failing with metPy 1.5, but working smoothly with thundeR and sharppy

thundeR 1.1.2

• Allowing to keep NA values in get_sounding() which might be not harmful if missing data occur on higher altitudes for dew point temperatures

v1.1.1

thundeR 1.1.1

• Improvements in C++ algorithm responsible for more accurate computations of parcel trajectories and related thermodynamic indices
  • Minor bug fixes in CIN calculation procedure
  • Minor bug fixes in mixed-layer calculation procedure
  • Minor bug fixes in DCAPE calculation procedure
• Fixing code leaks in C++ module
• New parameters added. Currently the list of computed parameters contains over 200 indices
• Documentation and pkgdown site updates
• Removing dependency to the climate package by including internal functions responsible for downloading soundings from Wyoming database
• Improving graphical layout:
  • Adding parcel trajectories shading for positive area
  • shading SRH area for left- and right movers on sounding hodographs
• Implementation of different interpolating mechanisms to sounding_compute()
• UX improvements and interactive editing of rawinsonde data browsed in shiny app (http://rawinsonde.com)

thundeR 0.3.0

• Thanks @Nowosad for changes in main.cpp - looks like ASAN and valgrind do not detect any C++ leaks 🥳 which allow us to hit CRAN again
• sounding_plot() bug fixes as described in #38
• unit tests code coverage improvement (+90% 🟢 )
• minor improvements in documentation
• cleaning repository

v0.0.20

• CRAN fixes

thundeR_0.0.13

• Small improvements and bug fixes in computational and visualization algorithms
• Reduced image size of examples in packages that allow to reduce download size and speed up installation process

Python example

• Added example section: how to use thundeR with Python via rpy2
• Vignettes use external URLs for images to limit folder size below 1 MB according to CRAN policy

Hello CRAN!

Hello CRAN!

• 13/03/2021: First attempt to publish a few years of our intensive work on the CRAN repository