Software (Computer developments)
Heatwaves identification classification and visualisation with python
Joshi, Mitali; Amaripadath, Deepak; Anais Machard et al.
2022
 

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Keywords :
Heatwaves; warming stripes; python; intensity
Abstract :
[en] This code can detect, classify, and visualize heatwaves considering the thresholds based on percentiles of daily mean temperature distribution over past years (Ouzeau et al., 2016). Here, we develop the code by Machard et al. (2022) further by introducing stripes visualising the average annual summer temperature. We also add a possibility for comparing heatwaves for two or more cities. Additionally, with this code, you can visualise and compare the intense heatwaves for the cities in a country/region on a map. The code is easy to use for beginners and professionals working with heatwaves. The code can directly produce graphs and information indicating the heatwaves and comparing it for two or more cities.
Disciplines :
Architecture
Author, co-author :
Joshi, Mitali  ;  Université de Liège - ULiège > Urban and Environmental Engineering
Amaripadath, Deepak  ;  Université de Liège - ULiège > Urban and Environmental Engineering
Anais Machard;  Centre Scientifique et Technique du Batiment (CSTB) > Département Energie et Environnement ; La Rochelle Université > Laboratoire des Sciences de l'Ingénieur pour l'Environnement (LASIE, UMR CNRMS 7356)
Attia, Shady  ;  Université de Liège - ULiège > Département ArGEnCo > Techniques de construction des bâtiments
Language :
English
Title :
Heatwaves identification classification and visualisation with python
Publication date :
2022
Version :
v1.0.0
Available on ORBi :
since 16 November 2022

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