Downloads provided by UsageCounts
handle: 2268/296509
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.
v1.0.0
python, Heatwaves, Architecture, Heatwaves, intensity, warming stripes, intensity, warming stripes, Engineering, computing & technology, Ingénierie, informatique & technologie
python, Heatwaves, Architecture, Heatwaves, intensity, warming stripes, intensity, warming stripes, Engineering, computing & technology, Ingénierie, informatique & technologie
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 13 | |
| downloads | 2 |

Views provided by UsageCounts
Downloads provided by UsageCounts