contact Mateusz Taszarek at mateusz.taszarek[at]amu.edu.pl
ThundeR is a freeware R language package for sounding and hodograph visualization, and rapid computation of convective parameters commonly used in the research and operational prediction of severe convective storms.
Access to the online tool:
http://www.rawinsonde.com/
Github repository:
https://github.com/bczernecki/thundeR
Taszarek, M., Czernecki, B., and Szuster, P.: thundeR – a rawinsonde package for processing convective parameters and visualizing atmospheric profiles, 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023, ECSS2023-28, https://doi.org/10.5194/ecss2023-28, 2023.
contact Julian Quinting at julian.quinting[at]kit.edu or Christian Grams grams[at]kit.edu
Α Convolutional Neural Network (CNN) model suite to identify ascending air streams. The repository includes code and CNN models to derive conditional probabilities of Warm Conveyor Belt (WCB) inflow, ascent, and outflow from data at a comparably low spatial and temporal resolution.
The tool is based on the work of Quinting and Grams (2022):
Quinting, J. F. and Grams, C. M.: EuLerian Identification of ascending AirStreams (ELIAS 2.0) in numerical weather prediction and climate models – Part 1: Development of deep learning model, Geosci. Model Dev., 15, 715–730, https://doi.org/10.5194/gmd-15-715-2022, 2022.
contact Emmanouil Flaounas at em.flaounas[at]hcmr.gr
The PV tracer diagnostic corresponds to a single module, written in Fortran, and its implementation requires additional modifications to several parts of the original WRF code. The whole PV-tracers package is adapted to WRF version 4.0+ and might demand minor, additional modifications for its implementation in subsequent versions of the model.
The tool is based on the work of Flaounas et al. (2021):
Flaounas, E., Gray, S. L., and Teubler, F.: A process-based anatomy of Mediterranean cyclones: from baroclinic lows to tropical-like systems, Weather Clim. Dynam., 2, 255–279, https://doi.org/10.5194/wcd-2-255-2021
contact Stavros Dafis at sdafis[at]noa.gr
A set of NCL scripts decompose the contribution of thermodynamic parameters to the surface pressure changes.
The tool is based on the work of Fink et al. (2012):
Fink, A. H., Pohle, S., Pinto, J. G., and Knippertz, P. (2012), Diagnosing the influence of diabatic processes on the explosive deepening of extratropical cyclones, Geophys. Res. Lett., 39, L07803, doi:10.1029/2012GL051025
contact Ioannis Samos at ioannis.samos[at]]phys.uoa.gr
This application is designed to analyze meteorological parameters from GRIB1 files, such as geoheight and mean sea level pressure, in order to identify medicane characteristics based on Hart (2003) – A Cyclone Phase Space Derived from Thermal Wind and Thermal Asymmetry.
Access to the application:
contact Ioannis Samos at ioannis.samos[at]]phys.uoa.gr
The purpose of this application is to provide an easy way to visualise meteorological parameters from GRIB1 files.
Access to the application:
contact Yonatan Givon at yonatan.givon[at]weizmann.ac.il
A tool for classifying isentropic PV structures by a self-organizing map (SOM) algorithm.
The SOM classification function obtains a time-series of maps of potential vorticity and classifies the repeating spatial patterns.
The spatial patterns are classified into the required number of clusters (neurons) according to selected network parameters.
The SOM analysis is unsupervised and separates the time-series into roughly equal groups, according to similarity.
The function returns the trained network and the identified cluster indices.
For details regarding the SOM algorithm, refer to :
https://www.mathworks.com/help/deeplearning/ref/selforgmap.html
The tool was originally used in:
Givon, Y., Keller Jr., D., Silverman, V., Pennel, R., Drobinski, P., and Raveh-Rubin, S.: Large-scale drivers of the mistral wind: link to Rossby wave life cycles and seasonal variability, Weather Clim. Dynam., 2, 609–630, 2021. https://doi.org/10.5194/wcd-2-609-2021
