
All Python code used to calculate the temperature index and WBGT based on UrbClim outputs for present and future scenarios (SSP 1-1.9 and SSP 3-7.0) across three Indian cities—Lucknow, Chennai, and Surat—is included. This code also estimates health and labor productivity losses under a 'no intervention' scenario and evaluates the benefits and costs of potential adaptation measures.
| 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). | 0 | |
| 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 |
